Podcasts about cost optimization

Balazs Molnar, CEO and co-founder of Rabbit, chats with Kieron Allen about the evolving challenges of cloud cost management and how engineering teams have become central to tackling them. He explains why traditional FinOps tools fall short, how Rabbit dives below the surface to uncover hidden waste (especially in platforms like BigQuery) and why automation is essential for real savings.Optimizing Cloud with RabbitThe Big Themes:Cloud Costs Take Center Stage: Companies are no longer asking, "What can we build on the cloud?" They're now asking, "Why is this so expensive?" Rabbit's origin stems from this exact pivot: cloud costs spiraled out of control, catching businesses off guard. Despite robust migration to cloud environments like Google Cloud, companies found themselves ill-equipped to understand the hidden inefficiencies causing waste. Cloud spend can quickly balloon without the right oversight.The Cloud Buffet Problem: Balazs described cloud computing like a buffet: Engineers can take whatever they want, whenever they want. The cloud's flexibility is its strength but also its greatest risk. Unlike traditional on-prem setups that required hardware purchases and physical limits, cloud environments are boundless. Engineering teams now hold the wheel, yet they're typically not tasked to steer toward efficiency. This creates what Molnar calls a "FinOps trap": assuming finance can solve a problem that's fundamentally technical.Why Optimization Matters Now: Cloud vendors are still growing at impressive rates, but cracks are forming. Some businesses are exiting the cloud, not because they dislike the model — but because costs feel unmanageable. Molnar warns that in most cases, this isn't a cloud problem — it's an optimization problem. The promise of cloud was flexibility and scalability. But without proper tools, it becomes unpredictably expensive.The Big Quote: "We all know the news that cloud vendors are growing 30%+ on a year-over-year basis. But we also started to see cracks in the system where companies are actually deciding to move out of the cloud because it's too expensive to them. But the reality [is] it might not have to be that expensive. It's just not optimized."More from Balazs Molnar and Rabbit:Connect with Balazs on LinkedIn and check out more about Rabbit.* Sponsored podcast * 

Mark Ericksen, creator of the Elixir LangChain framework, joins the Elixir Wizards to talk about LLM integration in Elixir apps. He explains how LangChain abstracts away the quirks of different AI providers (OpenAI, Anthropic's Claude, Google's Gemini) so you can work with any LLM in one more consistent API. We dig into core features like conversation chaining, tool execution, automatic retries, and production-grade fallback strategies. Mark shares his experiences maintaining LangChain in a fast-moving AI world: how it shields developers from API drift, manages token budgets, and handles rate limits and outages. He also reveals testing tactics for non-deterministic AI outputs, configuration tips for custom authentication, and the highlights of the new v0.4 release, including “content parts” support for thinking-style models. Key topics discussed in this episode: • Abstracting LLM APIs behind a unified Elixir interface • Building and managing conversation chains across multiple models • Exposing application functionality to LLMs through tool integrations • Automatic retries and fallback chains for production resilience • Supporting a variety of LLM providers • Tracking and optimizing token usage for cost control • Configuring API keys, authentication, and provider-specific settings • Handling rate limits and service outages with degradation • Processing multimodal inputs (text, images) in Langchain workflows • Extracting structured data from unstructured LLM responses • Leveraging “content parts” in v0.4 for advanced thinking-model support • Debugging LLM interactions using verbose logging and telemetry • Kickstarting experiments in LiveBook notebooks and demos • Comparing Elixir LangChain to the original Python implementation • Crafting human-in-the-loop workflows for interactive AI features • Integrating Langchain with the Ash framework for chat-driven interfaces • Contributing to open-source LLM adapters and staying ahead of API changes • Building fallback chains (e.g., OpenAI → Azure) for seamless continuity • Embedding business logic decisions directly into AI-powered tools • Summarization techniques for token efficiency in ongoing conversations • Batch processing tactics to leverage lower-cost API rate tiers • Real-world lessons on maintaining uptime amid LLM service disruptions Links mentioned: https://rubyonrails.org/ https://fly.io/ https://zionnationalpark.com/ https://podcast.thinkingelixir.com/ https://github.com/brainlid/langchain https://openai.com/ https://claude.ai/ https://gemini.google.com/ https://www.anthropic.com/ Vertex AI Studio https://cloud.google.com/generative-ai-studio https://www.perplexity.ai/ https://azure.microsoft.com/ https://hexdocs.pm/ecto/Ecto.html https://oban.pro/ Chris McCord's ElixirConf EU 2025 Talk https://www.youtube.com/watch?v=ojL_VHc4gLk Getting started: https://hexdocs.pm/langchain/gettingstarted.html https://ash-hq.org/ https://hex.pm/packages/langchain https://hexdocs.pm/igniter/readme.html https://www.youtube.com/watch?v=WM9iQlQSFg @brainlid on Twitter and BlueSky Special Guest: Mark Ericksen.

At KubeCon EU 2025 in London, Nirmal and I discussed the important (and not-so-important) things you might have missed. There's also a video version of this show on YouTube.Creators & Guests Cristi Cotovan - Editor Beth Fisher - Producer Bret Fisher - Host Nirmal Mehta - Host (00:00) - DDT Audio Podcast Edited (00:04) - Intro (01:24) - KubeCon 2025 EU Overview (03:24) - Platform Engineering and AI Trends (07:03) - AI and Machine Learning in Kubernetes (15:38) - Project Pavilions at KubeCon (17:05) - FinOps and Cost Optimization (20:39) - HAProxy and AI Gateways (24:00) - Proxy Intelligence and Network Layer Optimization (26:52) - Developer Experience and Organizational Challenges (29:23) - Platform Engineering and Cognitive Load (35:54) - End of Life for CNCF Projects You can also support my free material by subscribing to my YouTube channel and my weekly newsletter at bret.news!Grab the best coupons for my Docker and Kubernetes courses.Join my cloud native DevOps community on Discord.Grab some merch at Bret's Loot BoxHomepage bretfisher.com

Send us a textApril 2025 news. A lot of news for you, dear listener, from Google, AWS and AzureTakeaway by the aiThe FinOps News podcast targets hardcore Phenops enthusiasts.Conflict can lead to better team dynamics and outcomes.Azure's VM hibernation feature offers cost-efficient workload management.Amazon EC2 introduces high-performance storage optimized instances.Bare metal instances provide significant performance improvements.Prompt optimization in Amazon Bedrock enhances AI model performance.AWS Database Migration Service now supports automatic storage scaling.Cloud gaming may benefit from new GPU instance offerings.The importance of feedback in improving cloud services is emphasized.The podcast aims to provide in-depth insights into cloud technology. Amazon S3 has significantly reduced its storage and request prices.Google Cloud's FinOps Hub 2.0 offers new tools for cost management.GKE now provides insights to optimize resource requests and limits.Azure AKS cost recommendations help identify savings opportunities.Google Cloud's backup services now support DB2 databases.Amazon Redshift introduces serverless reservations for cost predictability.AWS CodeBuild enhancements allow for better resource configuration.Microsoft Cost Management has improved export functionalities.Microsoft Copilot in Azure offers tailored prompts for cost analysis.Azure Static Web Apps will discontinue dedicated pricing plans.

In today's uncertain economy, businesses are tightening costs, including for Kubernetes (K8s) operations, which are notoriously difficult to optimize. Yodar Shafrir, co-founder and CEO of ScaleOps, explained at KubeCon + CloudNativeCon Europe that dynamic, cloud-native applications have constantly shifting loads, making resource allocation complex. Engineers must provision enough resources to handle spikes without overspending, but in large production clusters with thousands of applications, manual optimization often fails. This leads to 70–80% resource waste and performance issues. Developers typically prioritize application performance over operational cost, and AI workloads further strain resources. Existing optimization tools offer static recommendations that quickly become outdated due to the dynamic nature of workloads, risking downtime. Shafrir emphasized that real-time, fully automated solutions like ScaleOps' platform are crucial. By dynamically adjusting container-level resources based on real-time consumption and business metrics, ScaleOps improves application reliability and eliminates waste. Their approach shifts Kubernetes management from static to dynamic resource allocation. Listen to the full episode for more insights and ScaleOps' roadmap.Learn more from The New Stack about the latest in scaling Kubernetes and managing operational costs: ScaleOps Adds Predictive Horizontal Scaling, Smart Placement ScaleOps Dynamically Right-Sizes Containers at Runtime Join our community of newsletter subscribers to stay on top of the news and at the top of your game. 

Discover how Public Sector organizations leverage VMware by Broadcom to unify & secure cloud infrastructure at scale. Listen to the VMware renewals podcast now.

In this episode of the Cognitive Revolution podcast, Andrew Lee, founder and CEO of Shortwave, returns to discuss the rapid advancements in AI over the past year and how they have significantly improved Shortwave, an AI email assistant. Andrew shares insights into the exponential growth of Shortwave's revenue and the enhanced capabilities of their AI, which now functions more like a virtual assistant. They delve into various use cases, the technical evolution of their platform, the impact of new AI models, and their strategic decision to shift from being an AI-enhanced email client to offering a broader AI-driven communication solution. Andrew also talks about the shift in company culture towards an AI-forward approach, the importance of speed and agility in the AI space, and the increased productivity achieved through leveraging AI. The conversation also touches on the future of the software industry, the potential of AI to automate routine tasks, and the company's hiring strategy focused on people who are passionate and forward-thinking about AI. PRODUCED BY: https://aipodcast.ing CHAPTERS: (00:00) About the Episode (04:00) Introduction and Welcome Back (04:07) Shortwave's Evolution and Revenue Growth (05:09) AI Email Assistant: Then vs. Now (06:44) Exciting Use Cases of Shortwave (14:11) Technical Deep Dive: Database and Search Stack (23:44) Agent Behavior and Iterative Approach (34:04) Model Selection and Cost Optimization (39:53) Future of AI and Convergence of Providers (42:54) Exploring the New Cursor Agent Mode (44:07) Understanding AI Filters and Their Functionality (45:38) Challenges and Solutions in AI Email Management (49:24) Evaluating AI Models and Their Performance (55:53) The Role of AI in Enhancing Email Communication (57:05) The Future of AI in Communication Tools (01:12:35) Building an AI-Forward Culture at Shortwave (01:17:14) Leveraging AI for Content Creation (01:17:57) The Shift in Team Dynamics (01:19:36) Adapting to Industry Changes (01:20:39) Optimizing for Speed (01:22:45) Monetization and Pricing Strategies (01:25:42) The Future of AI Integration (01:36:36) Hiring and Team Structure (01:43:28) The Future of Software Development (01:47:18) Closing Thoughts and Future Outlook (01:50:03) Outro SOCIAL LINKS: Website: https://www.cognitiverevolution.ai Twitter (Podcast): https://x.com/cogrev_podcast Twitter (Nathan): https://x.com/labenz LinkedIn: https://linkedin.com/in/nathanlabenz/ Youtube: https://youtube.com/@CognitiveRevolutionPodcast Apple: https://podcasts.apple.com/de/podcast/the-cognitive-revolution-ai-builders-researchers-and/id1669813431 Spotify: https://open.spotify.com/show/6yHyok3M3BjqzR0VB5MSyk

In this episode of the InfosecTrain podcast, we explore AWS Cloud Storage Services, their key features, and how businesses can leverage them for scalability, security, and cost efficiency.

SummaryIn this episode of the ATX DAO Podcast, we sit down with Brock Haugen, co-founder of Indexing Co, to explore the critical role of indexing in blockchain infrastructure. Brock shares his journey from Coinbase to launching a company focused on real-time blockchain data, explaining why traditional APIs fall short and how Indexing Co provides a more scalable, cost-effective solution. Whether you're a developer, data enthusiast, or Web3 founder, this conversation sheds light on how proper indexing can save companies time and money while unlocking new possibilities in DeFi, NFTs, and beyond.We also dive into the challenges of working across multiple blockchains, the unexpected hurdles Brock faced as a founder, and why he believes the cost of data is headed toward zero. Plus, hear insights on the future of indexing, AI-driven data pipelines, and how real-time blockchain analytics could reshape everything from compliance to consumer apps. If you're curious about the future of blockchain data, this is an episode you won't want to miss!Chapters00:00 Introduction and Background03:36 Understanding Indexing in Blockchain08:05 The Unique Approach of Indexing Company10:50 Ideal Customer Profile13:41 Real-World Applications in DeFi16:18 Machine Learning and Agentic Access20:15 Unexpected Challenges and Lessons Learned22:43 From Coinbase to Data Indexing Innovations23:52 Cost Optimization and Eliminating Bottlenecks25:46 Learning from Mistakes: The Autopsy of Failures27:07 Building Resilience: A Methodology for Success28:43 Navigating the Indexing Landscape31:09 Insights from Web3 Conferences32:40 Common Use Cases in DeFi and Beyond33:14 Integrating with Financial Systems33:46 Leveraging Social Graphs for DeFi37:18 Future Directions and Market Strategies40:25 Competing with Established Data Giants43:21 Self-Service Data Solutions for CustomersConnect with Brock and The Indexing Company:X (Twitter): ⁠⁠Brock - @runninyeti | Indexing Company - @indexingcoFarcaster: Brock - @runninyeti.eth | Indexing Company - /indexingBlog: https://mirror.xyz/runninyeti.ethWebsite: https://www.indexing.coTo learn more about ATX DAO:Check out the ⁠ATX DAO ⁠websiteFollow ⁠@ATXDAO⁠ on X (Twitter)Subscribe to our newsletterConnect with us on ⁠LinkedIn⁠Join the community in the ⁠ATX DAO Discord⁠Connect with the ATX DAO Podcast team on X (Twitter):Ash:  ⁠@ashinthewild⁠Luke: ⁠⁠⁠⁠⁠@Luke152⁠⁠⁠⁠⁠Support the Podcast:If you enjoyed this episode, please leave us a review and share it with your network.Subscribe for more insights, interviews, and deep dives into the world of Web 3.Tools & Resources We LovePodcast Recording & Editing - ⁠Riverside FM⁠: We use Riverside FM to record and edit our episodes. If you're interested in getting into podcasting or just recording remote videos, be sure to check them out!

This week, we're joined by McKinsey & Company's Kevin Goering to dive into the insights from their fifth annual Global Supply Chain Leader Survey, revealing how executives are responding to persistent disruptions and shifting priorities. Together, we dive into the delicate balance between cost management and risk mitigation, the challenges of digital adoption, and the growing focus on nearshoring and dual sourcing, discovering why some companies may be taking their eye off the ball when it comes to supply chain resilience, and what strategies are proving most effective in today's dynamic business environment. Come join us as we discuss the Future of Supply Chain.

LISTEN TO THIS EPISODE IF YOU ARE STRUGGLING WITH PROFITABILITY IN YOUR BUSINESS Profit is the most important metric in your business. Revenue is great, but if your profit margins are tiny, you're basically running an expensive hobby. You might be making $2M, but if you're only keeping $50K… is it really worth it? In this episode, we're breaking down the biggest profitability mistakes business owners make, like not knowing their cost of goods sold (COGS), underpricing, or ignoring inefficiencies in labor costs. If money comes in and goes out and you have no idea where it's going, this is your wake-up call. We'll cover: The difference between profit and revenue (and why it matters more than you think). Common profitability mistakes that keep businesses stuck. Why a small profit margin with little room for growth is a major red flag. A real client story on how optimizing inefficiencies doubled their profit in a year. If you're only looking at your numbers once a year at tax time, you're already behind. Profitability isn't just about cutting costs, it's about smart strategy, pricing, and making decisions based on facts, not feelings. If you want your business to be sustainable long-term, this episode will help you take a bird's-eye view, get curious about inefficiencies, and start making real money moves. Topics We Discuss: Profitability, Business Finances, Cost Optimization, Pricing Strategy, Scaling Profit Margins   FREE RESOURCES: STAND OUT SOCIAL MASTERCLASS // learn how to disrupt an industry SOLD OUT SALES CALENDAR // to help get organized & sell more BUILD YOURSELF A MARKETING BRAIN // to learn the ins & outs EXPLORE PROGRAMS, COURSES, & SERVICES // CLICK HERE FOLLOW MADI ON INSTAGRAM // @thisismadisonpaige WATCH ON YOUTUBE // click here

 Customer Mindset and Priorities in 2025 (01:47)The current climate of geopolitical and economic uncertainty is driving the need for speed and agility when delivering value to customers. Google Cloud customer projects that do just that include improving logistics at UPS, enhancing search functionality, and boosting customer service at Hanesbrands and Macy's. "Uncertainty means the great CEOs want action," Kurian says. "You control the controllable, and you do that by improving speed in your organization." Kurian also discusses significant AI integrations, such as Google Cloud's collaboration with Samsung on its phones and Snap's in-app coach, which are shaping the future of customer interaction.Cloud and AI as a Continuum (04:08)Kurian explains that cloud services actually simplify the deployment and management of AI because they provide models and accelerators as services, reducing the complexity of managing AI systems. In turn, AI helps to streamline cloud services by enabling faster and more efficient application development. Customer examples of how cloud and AI work together to deliver innovative offerings can be found in AI-driven risk calculations at Hiscox, tailored advertising for Puma and Radisson, and content discovery for Warner Brothers Discovery.AI's Impact on Business and Productivity (07:48)AI is no longer confined to IT departments but is now influencing a wide range of business functions. It's improving productivity by streamlining operations, such as facilitating live patient handoffs at hospitals. "Allowing the nurses to do live handoff to another nurse means more time at the bedside. It means more productivity."AI is also enhancing product development by enabling customers to articulate complex needs, which AI can then translate into tailored recommendations. Furthermore, AI's role in call center automation is improving efficiency by handling high volumes of customer inquiries and providing superior service.Customer Service and AI Integration (13:01)Google Cloud's approach to integrating AI with customer service helps businesses create more cohesive and efficient customer experiences by improving reach, understanding, and interactions across multiple channels. Kurian discusses innovations such as the self-service retail search at InterContinental Hotels and digital concierge services for Orange. AI agents manage customer queries, upsell products, and improve service efficiency in call centers.Cost Optimization and Efficiency in AI (15:52)There are several ways in which Google Cloud is addressing the challenges of AI tool affordability. Kurian outlines initiatives aimed at improving the efficiency of AI, such as new software capabilities and optimizations to AI models. In the last six months, Google Cloud has significantly reduced costs, with model costs dropping by more than 10 times. Additionally, improvements in latency and the reduction of AI response iterations are also helping to make AI more efficient and cost-effective.Customer Acknowledgment (18:46)In closing, Kurian expresses his gratitude to Google Cloud's customers, partners, and all those who have supported the company's journey. "To every customer, every partner, everyone who gave us a shot, you were the reason that all of our people worked so hard. Thank you."

Matteo Collina and Luca Maraschi join the podcast to talk about Platformatic. Learn about Platformatics' incredible 4.3 million dollar seed round, its robust features and modular approach, and how it addresses the unique challenges faced by devs and enterprises. Links https://platformatic.dev/docs/getting-started/quick-start-watt Matteo Collina: https://nodeland.dev https://x.com/matteocollina https://fosstodon.org/@mcollina https://github.com/mcollina https://www.linkedin.com/in/matteocollina https://www.youtube.com/@adventuresinnodeland Luca Maraschi: https://www.linkedin.com/in/lucamaraschi https://x.com/lucamaraschi We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Let us know by sending an email to our producer, Emily, at emily.kochanekketner@logrocket.com (mailto:emily.kochanekketner@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understand where your users are struggling by trying it for free at [LogRocket.com]. Try LogRocket for free today.(https://logrocket.com/signup/?pdr) Special Guests: Luca Maraschi and Matteo Collina.

"The key message of the report is that the fundamentals of this region are critical, they're clear, and businesses are doing exactly, I think, what they need to do for us to move ahead." - Sapna Chadha "Given that one of the other themes we've had this year is trust, having a strong regulatory foundation and good constructs around that for digital financial services is critical to unlocking the next wave of growth here." - Florian Hoppe "All 10 ASEAN nations have announced their own national strategic AI initiatives or plans, and ASEAN itself has actually released a report and guide on AI governance and ethics. So, I think if you put all that together, it's very natural that Southeast Asia is, quite frankly, well-positioned to capitalize on the AI trend." - Fock Wai Hoong Fresh out of the studio in Google, Bernard Leong led a discussion on the 2024 Southeast Asia Digital Economy Report, joined by Sapna Chadha (Google), Florian Hope (Bain & Company), and Wai Hoong (Temasek). The panel delved into Southeast Asia's impressive digital growth, with the region's economy reaching $263 billion in GMV and significant strides in profitability. The panellists examined the key themes which include Southeast Asia's emergence as an AI hub, driven by $30 billion in AI investments, the rise of video commerce, and the region's booming digital financial services specifically on embedded insurance. The conversation highlights challenges and opportunities in digital inclusion, AI infrastructure, and regional integration, providing a nuanced outlook on Southeast Asia's potential. The episode concludes with each panellist sharing their vision for Southeast Asia's digital future and success metrics for the next decade, emphasizing the region's unique strengths and long-term global impact. Audio Episode Highlights [00:46] Introduction [02:17] Key Report Insights [04:09] How Sapna, Florian, and Wai Hoong provide perspectives to the key report takeaways [07:00] Investor Perspective on Southeast Asia [10:06] Exiting the Funding Winter [12:44] AI's Role in Accelerating Growth [14:30] Impact of Video E-commerce [16:23] Growth in Digital Financial Services [18:03] Embedded Insurance in E-commerce [24:12] AI Infrastructure Investment [27:55] Southeast Asia's Startup Ecosystem [29:45] Generative AI Use Cases [31:06] AI for Revenue and Cost Optimization [34:16] New Internet Users and Digital Inclusion [37:55] Regional Integration as a Success Metric [39:01] Vision for Southeast Asia Digital Economy Success [40:20] Closing Remarks Podcast Information: Bernard Leong hosts and produces the show. Proper credits for the intro and end music: "Energetic Sports Drive" and the episode is mixed & edited in both video and audio format by G. Thomas Craig Analyse Asia Main Site: https://analyse.asia Analyse Asia Spotify: https://open.spotify.com/show/1kkRwzRZa4JCICr2vm0vGl Analyse Asia Apple Podcasts: https://podcasts.apple.com/us/podcast/analyse-asia-with-bernard-leong/id914868245 Analyse Asia YouTube: https://www.youtube.com/@AnalyseAsia Analyse Asia LinkedIn: https://www.linkedin.com/company/analyse-asia/ Analyse Asia X (formerly known as Twitter): https://twitter.com/analyseasia Analyse Asia Threads: https://www.threads.net/@analyseasia Sign Up for Our This Week in Asia Newsletter: https://www.analyse.asia/#/portal/signup Subscribe Newsletter on LinkedIn https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7149559878934540288

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop welcomes Leon Coe, founder of Amplify Intelligence, to explore the cutting edge of AI and its practical applications in workflows, agentic systems, and beyond. They discuss the evolution of autonomous agents, the shift toward combining traditional code with large language models, and how these integrations are reshaping both business processes and personal productivity. The conversation touches on the potential for AI to transform repetitive tasks, the role of probabilistic versus deterministic AI models, and Leon's perspective on the future of a more AI-enabled economy. Leon also shares thoughts on balancing creativity with automation, especially for non-technical users, while Stewart probes the deeper implications of our increasingly AI-driven world. To learn more about Leon's work, visit Amplify Intelligence or connect with him on Twitter @LeonJCoe.Check out this GPT we trained on the conversation!Timestamps00:00 Introduction to the Crazy Wisdom Podcast00:26 Understanding AI Agents02:51 Agentic Workflows vs. Autonomous Agents04:31 Productizing Large Language Models06:56 Challenges and Innovations in AI Adoption10:15 Enhancing Workflows with AI18:30 Technical Insights and Practical Applications25:29 Exploring Future Shock and AI Adoption27:17 The Economic Impact of AI29:01 The Evolution of AI Models31:01 Voice AI and Its Potential34:21 The Role of Social Media in AI Adoption41:01 Historical Perspectives on Media and Misinformation44:28 The Future of Media and AI45:30 Navigating the Digital Age with AI55:10 Concluding Thoughts and Future DiscussionsKey InsightsRedefining AI Agents: Leon introduces a unique perspective on AI agents, emphasizing that they don't have to be fully autonomous or self-directing to be useful. He defines an AI agent as simply the combination of large language models (LLMs) with traditional code, capable of producing workflows and taking actions. This broader view allows businesses to leverage agentic technology today by integrating LLMs into workflows in a controlled, deterministic way, similar to tools like Zapier but with enhanced intelligence.Adoption Challenges for Non-Technical Users: One of the biggest challenges in AI adoption, Leon argues, is bridging the gap between technical and non-technical users. Programmers and those familiar with building digital workflows can push AI's capabilities further by crafting complex queries and structured workflows. However, non-technical users often lack this mental framework, so introducing them to AI involves not only teaching specific tools but also new ways of conceptualizing and using automation to make their lives easier.AI for Personal Productivity and Business Efficiency: Leon explains how AI can revolutionize business workflows by injecting intelligence at different points. For example, an AI-enhanced workflow could automatically extract key insights from meetings, turn transcripts into actionable summaries, and even create custom reports with minimal human intervention. This not only saves time but also minimizes the risk of tasks falling through the cracks, which can improve productivity across entire organizations.Cost Optimization and Model Selection in AI Workflows: In building effective AI applications, choosing the right model and managing costs are essential. Leon illustrates how selecting cheaper, high-performance models, like Gemini Flash instead of more expensive alternatives, can make workflows more efficient and cost-effective. By carefully balancing speed, token limits, and other parameters, companies can optimize their AI usage and control expenses without sacrificing performance.The Future of Databases and Dynamic Information: The conversation explores a potentially transformative shift in data storage and retrieval, where static databases might be replaced by API calls to AI models that generate information dynamically. This approach could allow for more flexible and up-to-date data management, where only critical user data is stored traditionally, and the rest is created on-demand, reducing the need for static databases.Media Evolution and Personalized AI: Leon discusses how AI has the potential to shape media in unprecedented ways by generating hyper-personalized content for users, contrasting with the traditional, one-size-fits-all TV experience. As AI takes media personalization to new levels, it could further fragment audiences, changing how we relate to information and even how we form identities, which were once rooted in collective media experiences.Balancing Consumption and Creation in the Digital Age: Stewart and Leon share insights on moving from passive content consumption to active creation with AI tools. By harnessing AI as a productive force, users can redefine their relationship with digital media, turning social platforms into educational or note-taking spaces rather than time-sinks. Leon's experience with LinkedIn, where he engages by sharing valuable insights rather than merely consuming content, exemplifies this shift, suggesting that AI's real value may lie in its ability to empower individuals to create rather than consume.

Welcome to Episode 385 of the Microsoft Cloud IT Pro Podcast. In this episode, we dive into deploying, managing, and optimizing Microsoft's leading cloud-native SIEM (Security Information and Event Management) solution. Whether you're new to Microsoft Sentinel or looking to deepen your expertise, this episode is packed with actionable insights to help you secure your Azure environment effectively. Like what you hear and want to support the show? Check out our membership options. Show Notes What is Microsoft Sentinel? Deployment guide for Microsoft Sentinel Plan costs and understand Microsoft Sentinel pricing and billing Log retention plans in Microsoft Sentinel Prepare for multiple workspaces and tenants in Microsoft Sentinel Centrally manage multiple Microsoft Sentinel workspaces with workspace manager (Preview) Sentinel Content Packs Free data sources Automate threat response with playbooks in Microsoft Sentinel About the sponsors Would you like to become the irreplaceable Microsoft 365 resource for your organization? Let us know!

After years of trying, Corey has finally convinced a TAM to come on the show! In this lively episode, AWS Senior Technical Account Manager Shlomo Dubrowin takes the mic to share his fascinating experiences dealing with cloud complexities. Listen in as Shlomo recounts building AWS Reasonable Account Defaults from scratch, stresses the importance of writing a solid application, and shares the benefits of leveraging GenAI to help maintain his work. Don't miss this entertaining and insightful conversation that could save you a few bucks!Show Highlights:(0:00) Intro(0:42) Chronosphere sponsor read(1:15) Finally getting a TAM on the show(2:24) Providing quality customer service as a TAM(5:31) AWS Reasonable Account Defaults(11:01) What went into crafting AWS Reasonable Accounts Defaults(12:20) Chronosphere sponsor read(12:54) Writing a program that won't break easily(17:25) Optimizing billing data(19:53) Transparency in costs(21:27) Expanding AWS Reasonable Account Defaults(23:34) Further optimizing AWS Reasonable Account Defaults in the future(26:18) Building with GenAI(29:01) Where you can find more from ShlomoAbout Shlomo DubrowinShlomo Dubrowin has been a TAM for over 6 years supporting AWS customers from startups through to Fortune 100 companies. He has spoken at re:Invent twice and has specialized in Cost Optimization. Shlomo has been in the tech industry since 1994. And he lives with his wife, son and 2 dogs.LinksClouded Torah: https://www.clouded-torah.org/SponsorChronosphere: https://chronosphere.io/?utm_source=duckbill-group&utm_medium=podcast 

Send us a textIn this episode, Frank and Steve discuss the latest news in Cloud FinOps, including AWS G4DN Workspaces, AWS Parallel Computing Service, Google Compute Engine C3 and X4 instances, Azure C4 VMs, Amazon Open Search Service, AlloyDB free trial, Azure NetApp file storage, and more. They also touch on topics like cost optimization, carbon emissions, and the AWS Console mobile app.takeawaysAWS announces G4DN Workspaces, Parallel Computing Service, and support for Graviton 3 in Open Search ServiceGoogle introduces C3 and X4 instances in Compute EngineAzure releases C4 VMs and NetApp file storage with cool accessAmazon S3 no longer charges for certain HTTP error codesAWS introduces enhanced rate-based rules for lower rate limitsAzure offers Carbon Optimization and Spanner GraphDelegated administrator for cost optimization hub in AWSAlloyDB offers a free trial and Azure updates pricing and calculators

Join Miles Ward, CTO at SADA, as he delves into the world of massive data migration with Joe Intrakamhang, Head of Data Management and Cost Optimization at Verily. Discover how SADA and Google Cloud collaborated to move an astounding 50+ petabytes of data for Verily, a leader in precision healthcare. Learn about the challenges and triumphs of this monumental project, and how it's setting the stage for AI-driven advancements in healthcare. Get insights into the strategies, tools, and teamwork that made this massive undertaking a success. Key Takeaways: Overcoming the challenges of a 50+ petabyte data migration The role of Google Cloud in powering healthcare innovation Leveraging AI and machine learning for precision medicine Building a strong foundation for future data-driven initiatives Don't miss this in-depth conversation about the future of healthcare technology. Learn more at: https://sada.com/cloud-and-clear/

Tushar Pandey is a distinguished expert in the Life Sciences industry, currently making significant strides at SimBioSys with his innovative approach to healthcare technology. His contributions have been pivotal in advancing medical solutions and improving patient outcomes.   In this episode of the Life Science Success Podcast, host Don interviews Tushar Pandey, CEO and Co-founder of SymBioSys, an innovative company reshaping precision cancer care. Tushar shares his intriguing journey from Uganda to the United States, his transition from engineering to healthcare, and the personal experiences that sparked his passion for precision medicine. The discussion highlights SymBioSys' groundbreaking work in creating digital, cost-effective diagnostics to reduce uncertainty in cancer treatment. They explore the importance of addressing diversity in medical models, harnessing the power of AI, and solving challenges in drug development and patient care. Agendas like the company's comprehensive platform for early-stage breast cancer get a deep dive, showcasing how they bridge imaging, genomics, and patient-centered care for improved outcomes. This conversation is a rich mix of personal narrative, professional insights, and forward-thinking solutions in life sciences.     00:00 Introduction to Life Science Success Podcast 00:34 Sponsor Message from D3 Digital Media Marketing 01:25 Guest Introduction: Tushar Pandey 02:27 Tushar's Background and Journey 04:30 Early Career and Transition to Healthcare 06:01 Strata Decision Technology and Cost Optimization 07:57 Personal Impact of Cancer and Shift to Precision Medicine 08:54 Founding Symbiosis and Mission 11:04 Challenges and Innovations in Cancer Treatment 12:21 Symbiosis' Approach to Precision Medicine 14:04 Scientific and Emotional Theses 15:34 Digital Solutions and Global Scale 15:58 Breast Cancer Treatment and FDA Approval 18:05 Supporting Drug Developers and Dosing Regimens 19:30 Digital Orientation and Multi-Omics Data 20:24 Identifying Critical Data in Precision Medicine 20:50 Incorporating Diversity in Medical Models 23:49 Innovative Projects in Digital Health 25:07 The Role of Imaging in Precision Medicine 31:08 Challenges in Life Sciences and Overcoming Them 33:31 Leadership and Inspiration in Precision Medicine 37:28 Concerns and Future Directions in Healthcare 42:02 Conclusion and Final Thoughts  

Highlights from this week's conversation include:Jeff's Background and Transition to Independent Consulting (0:03)Working at Keurig and Business Model Changes (2:16)Tech Stack Evolution and SAP HANA Implementation (7:33)Adoption of Tableau and Data Pipelines (11:21)Supply Chain Analytics and Timeless Data Modeling (15:49)Impact of Cloud Computing on Cost Optimization (18:35)Challenges of Managing Variable Costs (20:59)Democratization of Data and Cost Impact (23:52)Quality of Fivetran Connectors (27:29)Data Ingestion and Cost Awareness (29:44)Virtual Warehouse Cost Management (31:22)Auto-Scaling and Performance Optimization (33:09)Cost-Saving Frameworks for Business Problems (38:19)Dashboard Frameworks (40:53)Increasing Dashboards (43:29)Final thoughts and takeaways (46:28)The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

TC2 is pleased to announce the launch of our IT Cost Management (ITCM) practice that consolidates key service lines focused on rapidly delivering and sustaining IT cost savings for our clients. In this 9-minute podcast, ITCM practice lead Theresa Knutson joins Tony Mangino to discuss core competencies and specific focus areas of the practice including Technology Expense Management, Cost Optimization and Billing Audits, and Lifecycle Services. If you would like to learn more about the ITCM practice, please visit our IT Cost Management webpage. Follow us on LinkedIn:  TC2 & LB3

Are you paying too much for your monthly bills? Most businesses are - but thankfully Recession Resister can help with its fully managed Bill Saver program! Find out more at: https://recessionresister.com/ Recession Resister City: Portland Address: 11923 NE Sumner St Website: https://recessionresister.com Email: support@recessionresister.com

In a leaner environment, optimization matters “This is a game of workflow automation and data.” says CEO & Co-Founder Dennis Thankachan as he discusses telecom vendor management and network cost optimization “And when it comes to workflow automation and data, computers will do this job better than my brain and a pen and paper can. And that's the whole thesis we've undergone with Lightyear.” Lightyear returns to the TR podcast to discuss the latest enhancements to their rapidly growing software, launched in 2019. In just 10 minutes, CEO & Co-Founder Dennis Thankachan, covers new product releases that systematically identify enterprise network cost optimization opportunities. Plus, get a glimpse of these features in action with a quick walkthrough of the product. Topics include the Network Inventory Manager, Bill Consolidation, and the Lightyear API. Resources: Explore more in Lightyear's Upcoming Webinar: Diving into the Latest Product Releases Learn more at https://lightyear.ai/ Read more from Dennis Thankachan

Covering when to use Aurora vs. RDS, common challenges when optimizing Aurora after migrating from RDS, I/O optimization and when I/O-optimized makes sense, and how to architect your Aurora databases for cost optimization.

AWS Morning Brief for the week of February 12, 2024 with Corey Quinn. Links:re:Invent 2023 Cost Optimization highlights that you were not expectingAWS Twitch show on cost optimizationFive things to consider when choosing your cloud provider Announcing CDK Migrate: A single command to migrate to the AWS CDKAccenture creates a regulatory document authoring solution using AWS generative AI servicesUsing one-click unsubscribe with Amazon SESHow to interconnect AWS Cloud WAN core networks

In this episode Claire Milligan, CEO of Amiably, shares her journey from software design to entrepreneurship and the importance of understanding the full business context when making decisions. She discusses the challenges of starting a company and the role of private equity firms in driving enterprise value. Milligan emphasizes the need for financial expertise within technical teams and the importance of managing cloud spend. She also reveals her personal experience with ADHD and how it has shaped her understanding of prioritization and motivation.   Whether she's helping businesses transform their cloud spending or hitting the slopes as a ski patroller, Claire Milligan thrives on distilling complex problems down to their core issues — and turning these pragmatic findings into groundbreaking solutions. Through a journey spanning marketing, UX, and leadership roles at tech companies like Tallie and SpringAhead, she's meticulously constructed a diverse skill set built upon hands-on expertise and an unrelenting thirst for knowledge. Now, as the CEO of startup Aimably, she's applying her unique superpowers to help businesses grow by spending smarter and dramatically reducing their cloud costs.   You can connect with Claire in the following ways: Website: https://www.aimably.com/ Linkedin: https://www.linkedin.com/in/clairemilligan/   Whether you are a C-Suite Leader of today or tomorrow, take charge of your career with confidence and leverage the insights of The CEO's Compass: Your Guide to Get Back on Track.  To learn more about The CEO's Compass, you can get your copy here: https://amzn.to/3AKiflR    Other episodes you'll enjoy: C-Suite Goal Setting: How To Create A Roadmap For Your Career Success - http://bit.ly/3XwI55n Natalya Berdikyan: Investing in Yourself to Serve Others on Apple Podcasts -http://bit.ly/3ZMx8yw Questions to Guarantee You Accomplish Your Goals - http://bit.ly/3QASvymSee omnystudio.com/listener for privacy information.

Join Doug Page and Andy Jordan on this podcast episode as they discuss how organizations are thinking of their priorities in order to minimize their costs. The struggle for many companies in today's economy come down to disconnected cost management and enterprise planning strategies. With such a cautious outlook for the near future, being able to assist your customers spend more intelligently will prove to be a key differentiator. Listen now to hear from our podcast guests on why planning in isolation is never a good idea, and be sure to join us next week for more on cost optimization. See omnystudio.com/listener for privacy information.

You probably use some Citrix features more than others depending on what your IT environment needs. With everything new we have added this year for better Operational and IT Efficiency, Workload and Device Flexibility, Security and Compliance, and Employee Experience Technology, you've probably adopted some new features too. But with so many new features, make sure you're not missing out on existing ones that can make your environment more efficient and help you save money. These features work across cloud, hybrid, and on-premises solutions, so no matter where your environment is hosted you can take advantage of our cost saving solutions. If you're interested in adopting any of these 5 features, make sure to check out our Citrix Product Documentation for more. Host: Andy WhitesideCo-host: Bill SuttonGuest: Monica Griesemer  

For the 64th episode of the CIO podcast hosted by Healthcare IT Today, we are talking about cost optimization with Muhammad Siddiqui, Chief Digital & Information Officer at Reid Health. First, we discuss his approach to cost optimization from an IT perspective. Then he shares his process with budgets in this current uncertain environment. Next, […]

In the fast-paced world of technology, the distinction between great tech leaders and their peers often lies in their ability to achieve more while spending less, all without compromising the quality of their innovations. One notable exemplar of this philosophy is Martin Howard, the esteemed Executive Vice President and Chief Information Officer at Avēsis, LLC. Martin's remarkable journey is a testament to the strategic mindset that has redefined the tech landscape. In this exploration of how great tech leaders cost less without sacrificing quality, we delve into the insights and strategies employed by visionaries like Martin Howard. Their stories illuminate the path to achieving cost-efficient excellence while simultaneously delivering top-notch products and services. These leaders have not only demonstrated the art of managing resources judiciously but have also redefined the paradigm of innovation in an era where doing more with less is not just an aspiration but a necessity.Here's more about Martin HowardMartin uses IT to drive business transformation and profitable growth. Whether in a start-up or public company environment, he provides strong operational leadership to deliver secure, high-performing, scalable and cost-effective information platforms.He excels in the design and delivery of analytic platforms that drive operational improvement andstrategic growth. Martin has consistently delivered on-time, on-budget IT solutions that spur organization-wide transformation while reducing cost. In diverse organizations he has recruited and led high-performing lean IT teams. He prioritizes strategic planning with attention to data science, analytics, emerging technologies, business process and cost optimization.He has worked with strategic and private equity sponsors on over 600 M&A projects ranging from target identification, due diligence, integration planning to integration and post deal execution.Industry Focus: Healthcare Systems and Providers, IT Transformation and Cost Optimization, Service Providers, Health IT (telemedicine, software, medical device)

In this episode of Infrastructure Matters, guest host Randy Kerns, Senior Strategist with The Futurum Group, joins Krista Macomber for a discussion of recent news, upcoming shows, and how to most cost-effectively use cloud infrastructure based on deep economic analysis and engagements with IT practitioners. Key highlights include: The launch of Pure Protect DRaaS by Pure Storage and the solution's value, including speeding time-to-recovery and reducing data loss following a ransomware attack. A preview of upcoming shows that The Futurum Group will be attending, including NetApp Insight, Veeam Analyst Summit and Supercomputing Conference 2023. A deep dive discussion into minimizing TCO and optimizing cost economics in the cloud. Be sure to visit our YouTube Channel and subscribe so you don't miss an episode.

Join AWS Sr Solutions Architect Rohan Phadke for a conversation on optimizing storage costs in the cloud. When using cloud storage, it is important to take control of your costs and optimize your spend while building modern, scalable applications. In this podcast, learn about different strategies to optimize costs when using cloud based storage solutions. AWS Hosts: Nolan Chen & Malini Chatterjee

In this episode, we delve into the future of warehousing, exploring how efficient inventory management, innovative labor solutions, and strategic cost optimization are shaping the industry. Our guest, Joe Oliaro, Chief Real Estate Officer at Wagner Logistics, discusses the evolving landscape of inventory control, the role of human labor amidst automation, and strategies to maximize operational efficiency while minimizing costs. For more information subscribe to Check Call the newsletter or the podcast. Follow the Check Call Podcast Other FreightWaves Shows Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, Roi Ravhon, co-founder and CEO of Finout, sat down with InfoQ podcast co-host Daniel Bryant and discussed the emergence and industry adoption of FinOps. The conversation covers topics such as the benefits of adopting FinOps, the typical journey of an organization interested in learning more about cloud costs, and a range of cultural and tooling required for a successful implementation. Read a transcript of this interview: https://bit.ly/3sBkZ3i Subscribe to the Software Architects' Newsletter [monthly]: www.infoq.com/software-architect…mpaign=architectnl Upcoming Events: QCon San Francisco https://qconsf.com/ Oct 2-6, 2023 QCon London https://qconlondon.com/ April 8-10, 2024 Follow InfoQ: - Mastodon: https://techhub.social/@infoq - Twitter: twitter.com/InfoQ - LinkedIn: www.linkedin.com/company/infoq - Facebook: bit.ly/2jmlyG8 - Instagram: @infoqdotcom - Youtube: www.youtube.com/infoq Write for InfoQ - Join a community of experts. - Increase your visibility. - Grow your career. www.infoq.com/write-for-infoq/?u…aign=writeforinfoq

In this livestream I am joined by Michael Krenz, Engineering Director at Delivery Hero, to discuss the company's strategic approach to leveraging AWS cloud services for cost optimization. The conversation touches on how Delivery Hero integrates AWS features, like "spot instances," to achieve operational savings, their collaboration with AWS in building a customer data platform (CDP) using machine learning, and the broader cultural shift in prioritizing cost efficiency alongside performance and growth.

Three things to know today00:00 Tech Illiteracy in the U.S.: A Look at What Americans Do and Don't Know03:34 The Stakes of AI Adoption: Where Mistakes are Low, Adoption Soars05:39 Cost Optimization in Tech: The New Business Value in a World of Rising PricesAdvertiser: https://supportadventure.com/MSPRadio/https://timezest.com/MSPRadio/Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/Support the show on Patreon: https://patreon.com/mspradio/Want our stuff? Cool Merch? Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.comFollow us on:Facebook: https://www.facebook.com/mspradionews/Twitter: https://twitter.com/mspradionews/Instagram: https://www.instagram.com/mspradio/LinkedIn: https://www.linkedin.com/company/28908079/

In this episode of the OpsStars podcast, Limor Tzach, Business Analysis Team Manager at Similarweb, joins Don Otvos to discuss her award-winning workforce management project, harnessing the power of data for effective workforce management, and the role of workforce management in driving growth.

Cost Optimization is top of mind in uncertain economic times. In this episode we join AWS SAs Krati Singh and Mike Tuszynski to discuss how Right Sizing your cloud resources with the right tools can help you ensure sufficient capacity without overspending.AWS Hosts: Nolan Chen & Malini ChatterjeeEmail us your feedback! rethinkpodcast@amazon.com

Welcome episode 223 of The CloudPod Podcast! It's a full house - Justin, Matt, Ryan, and Jonathan are all here this week to discuss all the cloud news you need. This week, cost optimization is the big one, with a deep dive on the newest AWS blog. Additionally, we've got updates to BigQuery, Google's Health Service, managed services for Prometheus, and more. Titles we almost went with this week:

“The State of Kubernetes Cost Optimization,” is a recent report based on research into best practices for running Kubernetes clusters. If you're running your workloads as efficiently as possible, your costs will be optimal too. The report reviews the data and offers recommendations on tools and techniques you can use to optimize your Kubernetes clusters. We talk with two of the report's creators, Fernando Rubbo and Kent Hua, to learn more.   Do you have something cool to share? Some questions? Let us know: - web: kubernetespodcast.com - mail: kubernetespodcast@google.com - twitter: @kubernetespod   News of the week - CNCF Istio Graduation blog - Istio's blog about CNCF Graduation - CNCF Blog on Flux v2 GA release - Redhat Blog on Kubevirt 1.0 - Pulumi blog on v4.0 of their Kubernetes Provider - VMware Wasm Labs blog on serverless with wasm - CNCF announcement of over 30 new members  - VMware docs on self-hosted Tanzu Links from the interview - The State of Kubernetes Cost Optimization report - “Sharing the inaugural State of Kubernetes Cost Optimization report” blog - Resource Management for Pods and Containers (Kubernetes Documentation) Links from the post-interview chat - Google Site Reliability Engineering (SRE) books - Google Cloud Managed Service for Prometheus

Cybercrime Magazine CISO Minute host Theresa Payton, Former White House CIO, discusses how the industry is navigating CISO budget cuts, cost optimizations, and how to maintain effective cybersecurity measures. The CISO Minute is sponsored by https://knowbe4.com/ • For more on cybersecurity, visit us at https://cybersecurityventures.com/

Well, it looks like a recession is coming. Or maybe it's not. Or maybe it is. It seems like it's been a long wait for the other economic shoe to drop. And in the meantime, many questions are arising around managing costs in organizations.CFOs and finance leaders continue to have a lot of questions, and get even more from their internal stakeholders and customers, about projections, cost management, supply chains and more. This is especially true for organizations in the manufacturing and distribution industry. They operate in multiple locations. They often are operating on different systems. They can be more susceptible to supply chain issues and any disruptions that might take place around the world. And they have unique talent management challenges.Strategic cost optimization and management is something beneficial to commit to during any economic cycle, especially for organizations in the manufacturing industry. In this episode, we speak with two experts on this topic – Protiviti Managing Directors Andrea Vardaro Thomas and Shawn Seasongood. Both are leaders in Protiviti's Business Performance Improvement group.For more information, visit the Cost and Performance Management page on the Protiviti website.Contact Andrea at andrea.vardaro@protiviti.com.Contact Shawn at shawn.seasongood@protiviti.com.To request a transcript of this episode, contact kevin.donahue@protiviti.com.

Nick Lumsden, co-founder of Tenacity, shares his healthcare industry journey and how it shaped his work in cloud cost optimization. Discover the benefits of cloud tech, AI in cost management, and predictions for the industry. The post Status Go: Ep. 213 – Alignment Through Cloud Cost Optimization | Nick Lumsden appeared first on InterVision Systems.

Join hosts Emily and Dave as they sit down with Lindbergh Matillano, Director of Cloud Cost Optimization at Avalara. In this engaging episode, Lindbergh uncovers the untold secrets behind Avalara's remarkable success in achieving consistent year-over-year cost reductions. Tune in to discover how Avalara strategically embraced AWS Marketplace, resulting in significant time and monetary savings. Lindbergh also shares the inspiring journey of fostering a cost-conscious culture within the organization and how they harnessed the power of AWS services to drive innovation. Don't miss out on this eye-opening conversation that explores the intersection of efficiency, financial prudence, and groundbreaking technology. Avalara on Twitter: https://twitter.com/avalara Avalara on LinkedIn: https://www.linkedin.com/company/avalara Emily on Twitter: https://twitter.com/editingemily [PORTAL] Avalara Developer Portal: https://developer.avalara.com Subscribe: Spotify: https://open.spotify.com/show/7rQjgnBvuyr18K03tnEHBI Apple Podcasts: https://podcasts.apple.com/us/podcast/aws-developers-podcast/id1574162669 Stitcher: https://www.stitcher.com/show/1065378 Pandora: https://www.pandora.com/podcast/aws-developers-podcast/PC:1001065378 TuneIn: https://tunein.com/podcasts/Technology-Podcasts/AWS-Developers-Podcast-p1461814/ Amazon Music: https://music.amazon.com/podcasts/f8bf7630-2521-4b40-be90-c46a9222c159/aws-developers-podcast Google Podcasts: https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5zb3VuZGNsb3VkLmNvbS91c2Vycy9zb3VuZGNsb3VkOnVzZXJzOjk5NDM2MzU0OS9zb3VuZHMucnNz RSS Feed: https://feeds.soundcloud.com/users/soundcloud:users:994363549/sounds.rss

Brad Culberson is a Principal Architect in the Field CTO's office at Snowflake. Niall Woodward is a co-founder of SELECT, a startup providing optimization and spend management software for Snowflake customers. In this conversation with Tristan and Julia, Brad and Niall discuss all things cost optimization: cloud vs on-prem, measuring ROI, and tactical ways to get more out of your budget. For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.  The Analytics Engineering Podcast is sponsored by dbt Labs.

Cloud costs are soaring for many companies, without any real insight as to why. For answers, many organizations are turning to FinOps—a collaborative, cross-functional approach to cost transparency, accountability, and optimization.

Here are links to a few things we mentioned: The Cost of Cloud, a Trillion Dollar Paradox (blog post from Andreessen Horowitz)OVHHetznerpostgresql_clusterWhy we're leaving the cloud (blog post by DHH from Basecamp)Managed services vs. DIY episodeec2instances.infoVantagePostgres TV episode with Everett Berry from VantageMigrating to Aurora: easy except the bill (blog post by Kimberly Nicholls from Gridium)Database Lab EnginePostgres.ai consultingNetdatasysbenchfioQuery macro analysis episodeTop queries by buffers (Gist from Michael)------------------------What did you like or not like? What should we discuss next time? Let us know by tweeting us on @samokhvalov / @michristofides / @PostgresFM, or by commenting on our Google doc.If you would like to share this episode, here's a good link (and thank you!)Postgres FM is brought to you by:Nikolay Samokhvalov, founder of Postgres.aiMichael Christofides, founder of pgMustardWith special thanks to:Jessie Draws for the amazing artwork 

About RickRick is the Product Leader of the AWS Optimization team. He previously led the cloud optimization product organization at Turbonomic, and previously was the Microsoft Azure Resource Optimization program owner.Links Referenced: AWS: https://console.aws.amazon.com LinkedIn: https://www.linkedin.com/in/rick-ochs-06469833/ Twitter: https://twitter.com/rickyo1138 TranscriptAnnouncer: Hello, and welcome to Screaming in the Cloud with your host, Chief Cloud Economist at The Duckbill Group, Corey Quinn. This weekly show features conversations with people doing interesting work in the world of cloud, thoughtful commentary on the state of the technical world, and ridiculous titles for which Corey refuses to apologize. This is Screaming in the Cloud.Corey: This episode is sponsored in part by our friends at Chronosphere. Tired of observability costs going up every year without getting additional value? Or being locked in to a vendor due to proprietary data collection, querying and visualization? Modern day, containerized environments require a new kind of observability technology that accounts for the massive increase in scale and attendant cost of data. With Chronosphere, choose where and how your data is routed and stored, query it easily, and get better context and control. 100% open source compatibility means that no matter what your setup is, they can help. Learn how Chronosphere provides complete and real-time insight into ECS, EKS, and your microservices, whereever they may be at snark.cloud/chronosphere That's snark.cloud/chronosphere Corey: This episode is bought to you in part by our friends at Veeam. Do you care about backups? Of course you don't. Nobody cares about backups. Stop lying to yourselves! You care about restores, usually right after you didn't care enough about backups.  If you're tired of the vulnerabilities, costs and slow recoveries when using snapshots to restore your data, assuming you even have them at all living in AWS-land, there is an alternative for you. Check out Veeam, thats V-E-E-A-M for secure, zero-fuss AWS backup that won't leave you high and dry when it's time to restore. Stop taking chances with your data. Talk to Veeam. My thanks to them for sponsoring this ridiculous podcast.Corey: Welcome to Screaming in the Cloud. I'm Corey Quinn. For those of you who've been listening to this show for a while, the theme has probably emerged, and that is that one of the key values of this show is to give the guest a chance to tell their story. It doesn't beat the guests up about how they approach things, it doesn't call them out for being completely wrong on things because honestly, I'm pretty good at choosing guests, and I don't bring people on that are, you know, walking trash fires. And that is certainly not a concern for this episode.But this might devolve into a screaming loud argument, despite my best effort. Today, I'm joined by Rick Ochs, Principal Product Manager at AWS. Rick, thank you for coming back on the show. The last time we spoke, you were not here you were at, I believe it was Turbonomic.Rick: Yeah, that's right. Thanks for having me on the show, Corey. I'm really excited to talk to you about optimization and my current role and what we're doing.Corey: Well, let's start at the beginning. Principal product manager. It sounds like one of those corporate titles that can mean a different thing in every company or every team that you're talking to. What is your area of responsibility? Where do you start and where do you stop?Rick: Awesome. So, I am the product manager lead for all of AWS Optimizations Team. So, I lead the product team. That includes several other product managers that focus in on Compute Optimizer, Cost Explorer, right-sizing recommendations, as well as Reservation and Savings Plan purchase recommendations.Corey: In other words, you are the person who effectively oversees all of the AWS cost optimization tooling and approaches to same?Rick: Yeah.Corey: Give or take. I mean, you could argue that oh, every team winds up focusing on helping customers save money. I could fight that argument just as effectively. But you effectively start and stop with respect to helping customers save money or understand where the money is going on their AWS bill.Rick: I think that's a fair statement. And I also agree with your comment that I think a lot of service teams do think through those use cases and provide capabilities, you know? There's, like, S3 storage lines. You know, there's all sorts of other products that do offer optimization capabilities as well, but as far as, like, the unified purpose of my team, it is, unilaterally focused on how do we help customers safely reduce their spend and not hurt their business at the same time.Corey: Safely being the key word. For those who are unaware of my day job, I am a partial owner of The Duckbill Group, a consultancy where we fix exactly one problem: the horrifying AWS bill. This is all that I've been doing for the last six years, so I have some opinions on AWS bill reduction as well. So, this is going to be a fun episode for the two of us to wind up, mmm, more or less smacking each other around, but politely because we are both professionals. So, let's start with a very high level. How does AWS think about AWS bills from a customer perspective? You talk about optimizing it, but what does that mean to you?Rick: Yeah. So, I mean, there's a lot of ways to think about it, especially depending on who I'm talking to, you know, where they sit in our organization. I would say I think about optimization in four major themes. The first is how do you scale correctly, whether that's right-sizing or architecting things to scale in and out? The second thing I would say is, how do you do pricing and discounting, whether that's Reservation management, Savings Plan Management, coverage, how do you handle the expenditures of prepayments and things like that?Then I would say suspension. What that means is turn the lights off when you leave the room. We have a lot of customers that do this and I think there's a lot of opportunity for more. Turning EC2 instances off when they're not needed if they're non-production workloads or other, sort of, stateful services that charge by the hour, I think there's a lot of opportunity there.And then the last of the four methods is clean up. And I think it's maybe one of the lowest-hanging fruit, but essentially, are you done using this thing? Delete it. And there's a whole opportunity of cleaning up, you know, IP addresses unattached EBS volumes, sort of, these resources that hang around in AWS accounts that sort of getting lost and forgotten as well. So, those are the four kind of major thematic strategies for how to optimize a cloud environment that we think about and spend a lot of time working on.Corey: I feel like there's—or at least the way that I approach these things—that there are a number of different levels you can look at AWS billing constructs on. The way that I tend to structure most of my engagements when I'm working with clients is we come in and, step one: cool. Why do you care about the AWS bill? It's a weird question to ask because most of the engineering folks look at me like I've just grown a second head. Like, “So, why do you care about your AWS bill?” Like, “What? Why do you? You run a company doing this?”It's no, no, no, it's not that I'm being rhetorical and I don't—I'm trying to be clever somehow and pretend that I don't understand all the nuances around this, but why does your business care about lowering the AWS bill? Because very often, the answer is they kind of don't. What they care about from a business perspective is being able to accurately attribute costs for the service or good that they provide, being able to predict what that spend is going to be, and also yes, a sense of being good stewards of the money that has been entrusted to them by via investors, public markets, or the budget allocation process of their companies and make sure that they're not doing foolish things with it. And that makes an awful lot of sense. It is rare at the corporate level that the stated number one concern is make the bills lower.Because at that point, well, easy enough. Let's just turn off everything you're running in production. You'll save a lot of money in your AWS bill. You won't be in business anymore, but you'll be saving a lot of money on the AWS bill. The answer is always deceptively nuanced and complicated.At least, that's how I see it. Let's also be clear that I talk with a relatively narrow subset of the AWS customer totality. The things that I do are very much intentionally things that do not scale. Definitionally, everything that you do has to scale. How do you wind up approaching this in ways that will work for customers spending billions versus independent learners who are paying for this out of their own personal pocket?Rick: It's not easy [laugh], let me just preface that. The team we have is incredible and we spent so much time thinking about scale and the different personas that engage with our products and how they're—what their experience is when they interact with a bill or AWS platform at large. There's also a couple of different personas here, right? We have a persona that focuses in on that cloud cost, the cloud bill, the finance, whether that's—if an organization is created a FinOps organization, if they have a Cloud Center of Excellence, versus an engineering team that maybe has started to go towards decentralized IT and has some accountability for the spend that they attribute to their AWS bill. And so, these different personas interact with us in really different ways, where Cost Explorer downloading the CUR and taking a look at the bill.And one thing that I always kind of imagine is somebody putting a headlamp on and going into the caves in the depths of their AWS bill and kind of like spelunking through their bill sometimes, right? And so, you have these FinOps folks and billing people that are deeply interested in making sure that the spend they do have meets their business goals, meaning this is providing high value to our company, it's providing high value to our customers, and we're spending on the right things, we're spending the right amount on the right things. Versus the engineering organization that's like, “Hey, how do we configure these resources? What types of instances should we be focused on using? What services should we be building on top of that maybe are more flexible for our business needs?”And so, there's really, like, two major personas that I spend a lot of time—our organization spends a lot of time wrapping our heads around. Because they're really different, very different approaches to how we think about cost. Because you're right, if you just wanted to lower your AWS bill, it's really easy. Just size everything to a t2.nano and you're done and move on [laugh], right? But you're [crosstalk 00:08:53]—Corey: Aw, t3 or t4.nano, depending upon whether regional availability is going to save you less. I'm still better at this. Let's not kid ourselves I kid. Mostly.Rick: For sure. So t4.nano, absolutely.Corey: T4g. Remember, now the way forward is everything has an explicit letter designator to define which processor company made the CPU that underpins the instance itself because that's a level of abstraction we certainly wouldn't want the cloud provider to take away from us any.Rick: Absolutely. And actually, the performance differences of those different processor models can be pretty incredible [laugh]. So, there's huge decisions behind all of that as well.Corey: Oh, yeah. There's so many factors that factor in all these things. It's gotten to a point of you see this usually with lawyers and very senior engineers, but the answer to almost everything is, “It depends.” There are always going to be edge cases. Easy example of, if you check a box and enable an S3 Gateway endpoint inside of a private subnet, suddenly, you're not passing traffic through a 4.5 cent per gigabyte managed NAT Gateway; it's being sent over that endpoint for no additional cost whatsoever.Check the box, save a bunch of money. But there are scenarios where you don't want to do it, so always double-checking and talking to customers about this is critically important. Just because, the first time you make a recommendation that does not work for their constraints, you lose trust. And make a few of those and it looks like you're more or less just making naive recommendations that don't add any value, and they learn to ignore you. So, down the road, when you make a really high-value, great recommendation for them, they stop paying attention.Rick: Absolutely. And we have that really high bar for recommendation accuracy, especially with right sizing, that's such a key one. Although I guess Savings Plan purchase recommendations can be critical as well. If a customer over commits on the amount of Savings Plan purchase they need to make, right, that's a really big problem for them.So, recommendation accuracy must be above reproach. Essentially, if a customer takes a recommendation and it breaks an application, they're probably never going to take another right-sizing recommendation again [laugh]. And so, this bar of trust must be exceptionally high. That's also why out of the box, the compute optimizer recommendations can be a little bit mild, they're a little time because the first order of business is do no harm; focus on the performance requirements of the application first because we have to make sure that the reason you build these workloads in AWS is served.Now ideally, we do that without overspending and without overprovisioning the capacity of these workloads, right? And so, for example, like if we make these right-sizing recommendations from Compute Optimizer, we're taking a look at the utilization of CPU, memory, disk, network, throughput, iops, and we're vending these recommendations to customers. And when you take that recommendation, you must still have great application performance for your business to be served, right? It's such a crucial part of how we optimize and run long-term. Because optimization is not a one-time Band-Aid; it's an ongoing behavior, so it's really critical that for that accuracy to be exceptionally high so we can build business process on top of it as well.Corey: Let me ask you this. How do you contextualize what the right approach to optimization is? What is your entire—there are certain tools that you have… by ‘you,' I mean, of course, as an organization—have repeatedly gone back to and different approaches that don't seem to deviate all that much from year to year, and customer to customer. How do you think about the general things that apply universally?Rick: So, we know that EC2 is a very popular service for us. We know that sizing EC2 is difficult. We think about that optimization pillar of scaling. It's an obvious area for us to help customers. We run into this sort of industry-wide experience where whenever somebody picks the size of a resource, they're going to pick one generally larger than they need.It's almost like asking a new employee at your company, “Hey, pick your laptop. We have a 16 gig model or a 32 gig model. Which one do you want?” That person [laugh] making the decision on capacity, hardware capacity, they're always going to pick the 32 gig model laptop, right? And so, we have this sort of human nature in IT of, we don't want to get called at two in the morning for performance issues, we don't want our apps to fall over, we want them to run really well, so we're going to size things very conservatively and we're going to oversize things.So, we can help customers by providing those recommendations to say, you can size things up in a different way using math and analytics based on the utilization patterns, and we can provide and pick different instance types. There's hundreds and hundreds of instance types in all of these regions across the globe. How do you know which is the right one for every single resource you have? It's a very, very hard problem to solve and it's not something that is lucrative to solve one by one if you have 100 EC2 instances. Trying to pick the correct size for each and every one can take hours and hours of IT engineering resources to look at utilization graphs, look at all of these types available, look at what is the performance difference between processor models and providers of those processors, is there application compatibility constraints that I have to consider? The complexity is astronomical.And then not only that, as soon as you make that sizing decision, one week later, it's out of date and you need a different size. So, [laugh] you didn't really solve the problem. So, we have to programmatically use data science and math to say, “Based on these utilization values, these are the sizes that would make sense for your business, that would have the lowest cost and the highest performance together at the same time.” And it's super important that we provide this capability from a technology standpoint because it would cost so much money to try to solve that problem that the savings you would achieve might not be meaningful. Then at the same time… you know, that's really from an engineering perspective, but when we talk to the FinOps and the finance folks, the conversations are more about Reservations and Savings Plans.How do we correctly apply Savings Plans and Reservations across a high percentage of our portfolio to reduce the costs on those workloads, but not so much that dynamic capacity levels in our organization mean we all of a sudden have a bunch of unused Reservations or Savings Plans? And so, a lot of organizations that engage with us and we have conversations with, we start with the Reservation and Savings Plan conversation because it's much easier to click a few buttons and buy a Savings Plan than to go institute an entire right-sizing campaign across multiple engineering teams. That can be very difficult, a much higher bar. So, some companies are ready to dive into the engineering task of sizing; some are not there yet. And they're a little maybe a little earlier in their FinOps journey, or the building optimization technology stacks, or achieving higher value out of their cloud environments, so starting with kind of the low hanging fruit, it can vary depending on the company, size of company, technical aptitudes, skill sets, all sorts of things like that.And so, those finance-focused teams are definitely spending more time looking at and studying what are the best practices for purchasing Savings Plans, covering my environment, getting the most out of my dollar that way. Then they don't have to engage the engineering teams; they can kind of take a nice chunk off the top of their bill and sort of have something to show for that amount of effort. So, there's a lot of different approaches to start in optimization.Corey: My philosophy runs somewhat counter to this because everything you're saying does work globally, it's safe, it's non-threatening, and then also really, on some level, feels like it is an approach that can be driven forward by finance or business. Whereas my worldview is that cost and architecture in cloud are one and the same. And there are architectural consequences of cost decisions and vice versa that can be adjusted and addressed. Like, one of my favorite party tricks—although I admit, it's a weird party—is I can look at the exploded PDF view of a customer's AWS bill and describe their architecture to them. And people have questioned that a few times, and now I have a testimonial on my client website that mentions, “It was weird how he was able to do this.”Yeah, it's real, I can do it. And it's not a skill, I would recommend cultivating for most people. But it does also mean that I think I'm onto something here, where there's always context that needs to be applied. It feels like there's an entire ecosystem of product companies out there trying to build what amount to a better Cost Explorer that also is not free the way that Cost Explorer is. So, the challenge I see there's they all tend to look more or less the same; there is very little differentiation in that space. And in the fullness of time, Cost Explorer does—ideally—get better. How do you think about it?Rick: Absolutely. If you're looking at ways to understand your bill, there's obviously Cost Explorer, the CUR, that's a very common approach is to take the CUR and put a BI front-end on top of it. That's a common experience. A lot of companies that have chops in that space will do that themselves instead of purchasing a third-party product that does do bill breakdown and dissemination. There's also the cross-charge show-back organizational breakdown and boundaries because you have these super large organizations that have fiefdoms.You know, if HR IT and sales IT, and [laugh] you know, product IT, you have all these different IT departments that are fiefdoms within your AWS bill and construct, whether they have different ABS accounts or say different AWS organizations sometimes, right, it can get extremely complicated. And some organizations require the ability to break down their bill based on those organizational boundaries. Maybe tagging works, maybe it doesn't. Maybe they do that by using a third-party product that lets them set custom scopes on their resources based on organizational boundaries. That's a common approach as well.We do also have our first-party solutions, they can do that, like the CUDOS dashboard as well. That's something that's really popular and highly used across our customer base. It allows you to have kind of a dashboard and customizable view of your AWS costs and, kind of, split it up based on tag organizational value, account name, and things like that as well. So, you mentioned that you feel like the architectural and cost problem is the same problem. I really don't disagree with that at all.I think what it comes down to is some organizations are prepared to tackle the architectural elements of cost and some are not. And it really comes down to how does the customer view their bill? Is it somebody in the finance organization looking at the bill? Is it somebody in the engineering organization looking at the bill? Ideally, it would be both.Ideally, you would have some of those skill sets that overlap, or you would have an organization that does focus in on FinOps or cloud operations as it relates to cost. But then at the same time, there are organizations that are like, “Hey, we need to go to cloud. Our CIO told us go to cloud. We don't want to pay the lease renewal on this building.” There's a lot of reasons why customers move to cloud, a lot of great reasons, right? Three major reasons you move to cloud: agility, [crosstalk 00:20:11]—Corey: And several terrible ones.Rick: Yeah, [laugh] and some not-so-great ones, too. So, there's so many different dynamics that get exposed when customers engage with us that they might or might not be ready to engage on the architectural element of how to build hyperscale systems. So, many of these customers are bringing legacy workloads and applications to the cloud, and something like a re-architecture to use stateless resources or something like Spot, that's just not possible for them. So, how can they take 20% off the top of their bill? Savings Plans or Reservations are kind of that easy, low-hanging fruit answer to just say, “We know these are fairly static environments that don't change a whole lot, that are going to exist for some amount of time.”They're legacy, you know, we can't turn them off. It doesn't make sense to rewrite these applications because they just don't change, they don't have high business value, or something like that. And so, the architecture part of that conversation doesn't always come into play. Should it? Yes.The long-term maturity and approach for cloud optimization does absolutely account for architecture, thinking strategically about how you do scaling, what services you're using, are you going down the Kubernetes path, which I know you're going to laugh about, but you know, how do you take these applications and componentize them? What services are you using to do that? How do you get that long-term scale and manageability out of those environments? Like you said at the beginning, the complexity is staggering and there's no one unified answer. That's why there's so many different entrance paths into, “How do I optimize my AWS bill?”There's no one answer, and every customer I talk to has a different comfort level and appetite. And some of them have tried suspension, some of them have gone heavy down Savings Plans, some of them want to dabble in right-sizing. So, every customer is different and we want to provide those capabilities for all of those different customers that have different appetites or comfort levels with each of these approaches.Corey: This episode is sponsored in part by our friends at Redis, the company behind the incredibly popular open source database. If you're tired of managing open source Redis on your own, or if you are looking to go beyond just caching and unlocking your data's full potential, these folks have you covered. Redis Enterprise is the go-to managed Redis service that allows you to reimagine how your geo-distributed applications process, deliver, and store data. To learn more from the experts in Redis how to be real-time, right now, from anywhere, visit redis.com/duckbill. That's R - E - D - I - S dot com slash duckbill.Corey: And I think that's very fair. I think that it is not necessarily a bad thing that you wind up presenting a lot of these options to customers. But there are some rough edges. An example of this is something I encountered myself somewhat recently and put on Twitter—because I have those kinds of problems—where originally, I remember this, that you were able to buy hourly Savings Plans, which again, Savings Plans are great; no knock there. I would wish that they applied to more services rather than, “Oh, SageMaker is going to do its own Savings Pla”—no, stop keeping me from going from something where I have to manage myself on EC2 to something you manage for me and making that cost money. You nailed it with Fargate. You nailed it with Lambda. Please just have one unified Savings Plan thing. But I digress.But you had a limit, once upon a time, of $1,000 per hour. Now, it's $5,000 per hour, which I believe in a three-year all-up-front means you will cheerfully add $130 million purchase to your shopping cart. And I kept adding a bunch of them and then had a little over a billion dollars a single button click away from being charged to my account. Let me begin with what's up with that?Rick: [laugh]. Thank you for the tweet, by the way, Corey.Corey: Always thrilled to ruin your month, Rick. You know that.Rick: Yeah. Fantastic. We took that tweet—you know, it was tongue in cheek, but also it was a serious opportunity for us to ask a question of what does happen? And it's something we did ask internally and have some fun conversations about. I can tell you that if you clicked purchase, it would have been declined [laugh]. So, you would have not been—Corey: Yeah, American Express would have had a problem with that. But the question is, would you have attempted to charge American Express, or would something internally have gone, “This has a few too many commas for us to wind up presenting it to the card issuer with a straight face?”Rick: [laugh]. Right. So, it wouldn't have gone through and I can tell you that, you know, if your account was on a PO-based configuration, you know, it would have gone to the account team. And it would have gone through our standard process for having a conversation with our customer there. That being said, we are—it's an awesome opportunity for us to examine what is that shopping cart experience.We did increase the limit, you're right. And we increased the limit for a lot of reasons that we sat down and worked through, but at the same time, there's always an opportunity for improvement of our product and experience, we want to make sure that it's really easy and lightweight to use our products, especially purchasing Savings Plans. Savings Plans are already kind of wrought with mental concern and risk of purchasing something so expensive and large that has a big impact on your AWS bill, so we don't really want to add any more friction necessarily the process but we do want to build an awareness and make sure customers understand, “Hey, you're purchasing this. This has a pretty big impact.” And so, we're also looking at other ways we can kind of improve the ability for the Savings Plan shopping cart experience to ensure customers don't put themselves in a position where you have to unwind or make phone calls and say, “Oops.” Right? We [laugh] want to avoid those sorts of situations for our customers. So, we are looking at quite a few additional improvements to that experience as well that I'm really excited about that I really can't share here, but stay tuned.Corey: I am looking forward to it. I will say the counterpoint to that is having worked with customers who do make large eight-figure purchases at once, there's a psychology element that plays into it. Everyone is very scared to click the button on the ‘Buy It Now' thing or the ‘Approve It.' So, what I've often found is at that scale, one, you can reduce what you're buying by half of it, and then see how that treats you and then continue to iterate forward rather than doing it all at once, or reach out to your account team and have them orchestrate the buy. In previous engagements, I had a customer do this religiously and at one point, the concierge team bought the wrong thing in the wrong region, and from my perspective, I would much rather have AWS apologize for that and fix it on their end, than from us having to go with a customer side of, “Oh crap, oh, crap. Please be nice to us.”Not that I doubt you would do it, but that's not the nervous conversation I want to have in quite the same way. It just seems odd to me that someone would want to make that scale of purchase without ever talking to a human. I mean, I get it. I'm as antisocial as they come some days, but for that kind of money, I kind of just want another human being to validate that I'm not making a giant mistake.Rick: We love that. That's such a tremendous opportunity for us to engage and discuss with an organization that's going to make a large commitment, that here's the impact, here's how we can help. How does it align to our strategy? We also do recommend, from a strategic perspective, those more incremental purchases. I think it creates a better experience long-term when you don't have a single Savings Plan that's going to expire on a specific day that all of a sudden increases your entire bill by a significant percentage.So, making staggered monthly purchases makes a lot of sense. And it also works better for incremental growth, right? If your organization is growing 5% month-over-month or year-over-year or something like that, you can purchase those incremental Savings Plans that sort of stack up on top of each other and then you don't have that risk of a cliff one day where one super-large SP expires and boom, you have to scramble and repurchase within minutes because every minute that goes by is an additional expense, right? That's not a great experience. And so that's, really, a large part of why those staggered purchase experiences make a lot of sense.That being said, a lot of companies do their math and their finance in different ways. And single large purchases makes sense to go through their process and their rigor as well. So, we try to support both types of purchasing patterns.Corey: I think that is an underappreciated aspect of cloud cost savings and cloud cost optimization, where it is much more about humans than it is about math. I see this most notably when I'm helping customers negotiate their AWS contracts with AWS, where they are often perspectives such as, “Well, we feel like we really got screwed over last time, so we want to stick it to them and make them give us a bigger percentage discount on something.” And it's like, look, you can do that, but I would much rather, if it were me, go for something that moves the needle on your actual business and empowers you to move faster, more effectively, and lead to an outcome that is a positive for everyone versus the well, we're just going to be difficult in this one point because they were difficult on something last time. But ego is a thing. Human psychology is never going to have an API for it. And again, customers get to decide their own destiny in some cases.Rick: I completely agree. I've actually experienced that. So, this is the third company I've been working at on Cloud optimization. I spent several years at Microsoft running an optimization program. I went to Turbonomic for several years, building out the right-sizing and savings plan reservation purchase capabilities there, and now here at AWS.And through all of these journeys and experiences working with companies to help optimize their cloud spend, I can tell you that the psychological needle—moving the needle is significantly harder than the technology stack of sizing something correctly or deleting something that's unused. We can solve the technology part. We can build great products that identify opportunities to save money. There's still this psychological component of IT, for the last several decades has gone through this maturity curve of if it's not broken, don't touch it. Five-nines, six sigma, all of these methods of IT sort of rationalizing do no harm, don't touch anything, everything must be up.And it even kind of goes back several decades. Back when if you rebooted a physical server, the motherboard capacitors would pop, right? So, there's even this anti—or this stigma against even rebooting servers sometimes. In the cloud really does away with a lot of that stuff because we have live migration and we have all of these, sort of, stateless designs and capabilities, but we still carry along with us this mentality of don't touch it; it might fall over. And we have to really get past that.And that means that the trust, we went back to the trust conversation where we talk about the recommendations must be incredibly accurate. You're risking your job, in some cases; if you are a DevOps engineer, and your commitments on your yearly goals are uptime, latency, response time, load time, these sorts of things, these operational metrics, KPIs that you use, you don't want to take a downsized recommendation. It has a severe risk of harming your job and your bonus.Corey: “These instances are idle. Turn them off.” It's like, yeah, these instances are the backup site, or the DR environment, or—Rick: Exactly.Corey: —something that takes very bursty but occasional traffic. And yeah, I know it costs us some money, but here's the revenue figures for having that thing available. Like, “Oh, yeah. Maybe we should shut up and not make dumb recommendations around things,” is the human response, but computers don't have that context.Rick: Absolutely. And so, the accuracy and trust component has to be the highest bar we meet for any optimization activity or behavior. We have to circumvent or supersede the human aversion, the risk aversion, that IT is built on, right?Corey: Oh, absolutely. And let's be clear, we see this all the time where I'm talking to customers and they have been burned before because we tried to save money and then we took a production outage as a side effect of a change that we made, and now we're not allowed to try to save money anymore. And there's a hidden truth in there, which is auto-scaling is something that a lot of customers talk about, but very few have instrumented true auto-scaling because they interpret is we can scale up to meet demand. Because yeah, if you don't do that you're dropping customers on the floor.Well, what about scaling back down again? And the answer there is like, yeah, that's not really a priority because it's just money. We're not disappointing customers, causing brand reputation, and we're still able to take people's money when that happens. It's only money; we can fix it later. Covid shined a real light on a lot of the stuff just because there are customers that we've spoken to who's—their user traffic dropped off a cliff, infrastructure spend remained constant day over day.And yeah, they believe, genuinely, they were auto-scaling. The most interesting lies are the ones that customers tell themselves, but the bill speaks. So, getting a lot of modernization traction from things like that was really neat to watch. But customers I don't think necessarily intuitively understand most aspects of their bill because it is a multidisciplinary problem. It's engineering, its finance, its accounting—which is not the same thing as finance—and you need all three of those constituencies to be able to communicate effectively using a shared and common language. It feels like we're marriage counseling between engineering and finance, most weeks.Rick: Absolutely, we are. And it's important we get it right, that the data is accurate, that the recommendations we provide are trustworthy. If the finance team gets their hands on the savings potential they see out of right-sizing, takes it to engineering, and then engineering comes back and says, “No, no, no, we can't actually do that. We can't actually size those,” right, we have problems. And they're cultural, they're transformational. Organizations' appetite for these things varies greatly and so it's important that we address that problem from all of those angles. And it's not easy to do.Corey: How big do you find the optimization problem is when you talk to customers? How focused are they on it? I have my answers, but that's the scale of anec-data. I want to hear your actual answer.Rick: Yeah. So, we talk with a lot of customers that are very interested in optimization. And we're very interested in helping them on the journey towards having an optimal estate. There are so many nuances and barriers, most of them psychological like we already talked about.I think there's this opportunity for us to go do better exposing the potential of what an optimal AWS estate would look like from a dollar and savings perspective. And so, I think it's kind of not well understood. I think it's one of the biggest areas or barriers of companies really attacking the optimization problem with more vigor is if they knew that the potential savings they could achieve out of their AWS environment would really align their spend much more closely with the business value they get, I think everybody would go bonkers. And so, I'm really excited about us making progress on exposing that capability or the total savings potential and amount. It's something we're looking into doing in a much more obvious way.And we're really excited about customers doing that on AWS where they know they can trust AWS to get the best value for their cloud spend, that it's a long-term good bet because their resources that they're using on AWS are all focused on giving business value. And that's the whole key. How can we align the dollars to the business value, right? And I think optimization is that connection between those two concepts.Corey: Companies are generally not going to greenlight a project whose sole job is to save money unless there's something very urgent going on. What will happen is as they iterate forward on the next generation of services or a migration of a service from one thing to another, they will make design decisions that benefit those optimizations. There's low-hanging fruit we can find, usually of the form, “Turn that thing off,” or, “Configure this thing slightly differently,” that doesn't take a lot of engineering effort in place. But, on some level, it is not worth the engineering effort it takes to do an optimization project. We've all met those engineers—speaking is one of them myself—who, left to our own devices, will spend two months just knocking a few hundred bucks a month off of our AWS developer environment.We steal more than office supplies. I'm not entirely sure what the business value of doing that is, in most cases. For me, yes, okay, things that work in small environments work very well in large environments, generally speaking, so I learned how to save 80 cents here and that's a few million bucks a month somewhere else. Most folks don't have that benefit happening, so it's a question of meeting them where they are.Rick: Absolutely. And I think the scale component is huge, which you just touched on. When you're talking about a hundred EC2 instances versus a thousand, optimization becomes kind of a different component of how you manage that AWS environment. And while single-decision recommendations to scale an individual server, the dollar amount might be different, the percentages are just about the same when you look at what is it to be sized correctly, what is it to be configured correctly? And so, it really does come down to priority.And so, it's really important to really support all of those companies of all different sizes and industries because they will have different experiences on AWS. And some will have more sensitivity to cost than others, but all of them want to get great business value out of their AWS spend. And so, as long as we're meeting that need and we're supporting our customers to make sure they understand the commitment we have to ensuring that their AWS spend is valuable, it is meaningful, right, they're not spending money on things that are not adding value, that's really important to us.Corey: I do want to have as the last topic of discussion here, how AWS views optimization, where there have been a number of repeated statements where helping customers optimize their cloud spend is extremely important to us. And I'm trying to figure out where that falls on the spectrum from, “It's the thing we say because they make us say it, but no, we're here to milk them like cows,” all the way on over to, “No, no, we passionately believe in this at every level, top to bottom, in every company. We are just bad at it.” So, I'm trying to understand how that winds up being expressed from your lived experience having solved this problem first outside, and then inside.Rick: Yeah. So, it's kind of like part of my personal story. It's the main reason I joined AWS. And, you know, when you go through the interview loops and you talk to the leaders of an organization you're thinking about joining, they always stop at the end of the interview and ask, “Do you have any questions for us?” And I asked that question to pretty much every single person I interviewed with. Like, “What is AWS's appetite for helping customers save money?”Because, like, from a business perspective, it kind of is a little bit wonky, right? But the answers were varied, and all of them were customer-obsessed and passionate. And I got this sense that my personal passion for helping companies have better efficiency of their IT resources was an absolute primary goal of AWS and a big element of Amazon's leadership principle, be customer obsessed. Now, I'm not a spokesperson, so [laugh] we'll see, but we are deeply interested in making sure our customers have a great long-term experience and a high-trust relationship. And so, when I asked these questions in these interviews, the answers were all about, “We have to do the right thing for the customer. It's imperative. It's also in our DNA. It's one of the most important leadership principles we have to be customer-obsessed.”And it is the primary reason why I joined: because of that answer to that question. Because it's so important that we achieve a better efficiency for our IT resources, not just for, like, AWS, but for our planet. If we can reduce consumption patterns and usage across the planet for how we use data centers and all the power that goes into them, we can talk about meaningful reductions of greenhouse gas emissions, the cost and energy needed to run IT business applications, and not only that, but most all new technology that's developed in the world seems to come out of a data center these days, we have a real opportunity to make a material impact to how much resource we use to build and use these things. And I think we owe it to the planet, to humanity, and I think Amazon takes that really seriously. And I'm really excited to be here because of that.Corey: As I recall—and feel free to make sure that this comment never sees the light of day—you asked me before interviewing for the role and then deciding to accept it, what I thought about you working there and whether I would recommend it, whether I wouldn't. And I think my answer was fairly nuanced. And you're working there now and we still are on speaking terms, so people can probably guess what my comments took the shape of, generally speaking. So, I'm going to have to ask now; it's been, what, a year since you joined?Rick: Almost. I think it's been about eight months.Corey: Time during a pandemic is always strange. But I have to ask, did I steer you wrong?Rick: No. Definitely not. I'm very happy to be here. The opportunity to help such a broad range of companies get more value out of technology—and it's not just cost, right, like we talked about. It's actually not about the dollar number going down on a bill. It's about getting more value and moving the needle on how do we efficiently use technology to solve business needs.And that's been my career goal for a really long time, I've been working on optimization for, like, seven or eight, I don't know, maybe even nine years now. And it's like this strange passion for me, this combination of my dad taught me how to be a really good steward of money and a great budget manager, and then my passion for technology. So, it's this really cool combination of, like, childhood life skills that really came together for me to create a career that I'm really passionate about. And this move to AWS has been such a tremendous way to supercharge my ability to scale my personal mission, and really align it to AWS's broader mission of helping companies achieve more with cloud platforms, right?And so, it's been a really nice eight months. It's been wild. Learning AWS culture has been wild. It's a sharp diverging culture from where I've been in the past, but it's also really cool to experience the leadership principles in action. They're not just things we put on a website; they're actually things people talk about every day [laugh]. And so, that journey has been humbling and a great learning opportunity as well.Corey: If people want to learn more, where's the best place to find you?Rick: Oh, yeah. Contact me on LinkedIn or Twitter. My Twitter account is @rickyo1138. Let me know if you get the 1138 reference. That's a fun one.Corey: THX 1138. Who doesn't?Rick: Yeah, there you go. And it's hidden in almost every single George Lucas movie as well. You can contact me on any of those social media platforms and I'd be happy to engage with anybody that's interested in optimization, cloud technology, bill, anything like that. Or even not [laugh]. Even anything else, either.Corey: Thank you so much for being so generous with your time. I really appreciate it.Rick: My pleasure, Corey. It was wonderful talking to you.Corey: Rick Ochs, Principal Product Manager at AWS. I'm Cloud Economist Corey Quinn, and this is Screaming in the Cloud. If you've enjoyed this podcast, please leave a five-star review on your podcast platform of choice, whereas if you've hated this podcast, please leave a five-star review on your podcast platform of choice, along with an angry comment, rightly pointing out that while AWS is great and all, Azure is far more cost-effective for your workloads because, given their lack security, it is trivially easy to just run your workloads in someone else's account.Corey: If your AWS bill keeps rising and your blood pressure is doing the same, then you need The Duckbill Group. We help companies fix their AWS bill by making it smaller and less horrifying. The Duckbill Group works for you, not AWS. We tailor recommendations to your business and we get to the point. Visit duckbillgroup.com to get started.Announcer: This has been a HumblePod production. Stay humble.

Executives are under increasing pressure to improve financial results–despite the macroeconomic headwinds they face. What can leaders do to garner quick wins? Join us as our panel of experts discuss proven cost-reduction and growth strategies that will make an immediate impact in your organization. Don't miss this special episode featuring West Monroe's Marc Tanowitz, Beth Montag-Schmaltz and Brian Reavell.Episode highlights:1:14 - Guest introductions3:10 - Where are the opportunities to reduce costs4:29 - Why quick wins are so important and what that really means5:30 - Third-party service providers are strategic partners; renegotiating their agreement7:27 - Where clients are surprised to find savings8:40 - How cost cutting impacts morale and service10:05 - What does it mean to lead with empathy11:30 - How to do communication right12:34 - Empathy goes a long way with your team13:00 - Who in the organization takes the lead with cost optimization15:53 - How to prepare for difficult conversations with your team17:50 - Sales force effectiveness19:55 - How long does it take to see results from a sales transformation 22:50 - Obstacles to achieving fast results23:40 - Growing your way out of a downturn - is it the best way?25:15 - Advice for companies facing uncertainty26:14 - Growth fatigue and what we should apply from our pandemic learnings27:26 - What does digital mean to you?