Podcasts about control plane

James Everingham is the CEO and Co-founder of Guild.ai — the AI agent control plane for production teams. With roots at Netscape, Instagram (Head of Engineering), and Meta (Head of Dev Infra, leading a 1,000-person org), James brings rare, hard-won expertise to the challenge of operating AI agents at scale.From Single-Player to Multi-Player: Operating AI Agents at Scale // MLOps Podcast #383 with James Everingham, CEO and Co-founder of Guild.aiIn this episode, James unpacks what actually breaks when you move from a single AI agent to a fleet of them — and what engineering leaders need to build before it's too late.

In this episode of Resilient Cyber, I sat down with Karl McGuinness — author of Control Plane and one of the sharpest voices working on identity in the agentic era — to unpack what most of the industry is still getting wrong about IAM for AI agents.Karl's thesis is a provocation: we spent two decades optimizing authentication and authorization, and we built that stack for human-paced execution. Agents remove the presence, pacing, and natural scope-limiting that made those controls work — and no amount of stronger credentials, tighter scopes, or faster JIT provisioning closes the structural gap. The real frontier isn't AuthN or AuthZ. It's delegation: how approved intent becomes bounded authority that stays governed across delegation chains, unfamiliar tools, consent expansion, revocation, and task termination.Chris and Karl dig into:↳ Why the industry optimized for the wrong question, and what changes when agents enter the loop ↳ The Execution Mandate — agents don't need your passport, they need your authority ↳ Why governing the stay matters more than governing the entry, and what continuous evaluation of authority looks like in practice ↳ Mission-Bound OAuth, including Karl's own pessimistic case against it ↳ AAuth vs. OAuth as the substrate for agentic identity, and what signal will tell us which one wins ↳ Why Mission Shaping is necessary but not sufficient when quiet expansion, headless execution, and stale state are in play ↳ Open-world OAuth, MCP, and first-contact trust — what the newer standards solve and the substrate gaps no draft is closing ↳ ID-JAG and Cross-App Access (XAA): why enterprise SaaS needs to abandon app-by-app OAuth islands ↳ The widening gap between IETF drafts and the "agentic IAM" being sold at RSA, and the minimum viable posture for teams running agents in production todayWhether you're a CISO, an identity architect, or a security leader trying to separate vendor narrative from substrate reality, this is a clear-eyed map of where agentic IAM actually is and where it has to go.

Oren Michels is the founder and CEO of Barndoor.ai, the first and only Control Plane for the agentic enterprise. Previously, he co-founded Mashery in 2006 and served as CEO until Intel acquired the company in 2013. When it was acquired, Mashery-powered APIs were used by over 350,000 active developers in over 100,000 active applications, and counted among its customers many of the largest e-commerce, media, and data companies in the world. He is an entrepreneur, investor, board member, and advisor to technology startups in the US and Europe and has made angel investments in several successful companies including Uber, Pebble Post, Addy, Navdy, and eero.Highlight Bullets> Here's a glimpse of what you would learn…. Rapid evolution of AI agents in e-commerce and business operations.Definition and functionality of AI agents that perform actions on behalf of users.Importance of governance and trust in deploying AI agents to prevent errors and misuse.Introduction of Barndoor AI and its role in providing connectivity and governance for AI agents.Practical use cases of AI agents in managing tasks across various platforms (e.g., Shopify, JIRA, QuickBooks).The necessity of setting strict policies to control AI actions and ensure safety.Integration of AI tools with existing software systems and the potential for low-code/no-code solutions.The significance of problem-solving and process design skills in effectively utilizing AI agents.Recommendations for starting small with AI and learning through practical application.Continuous evolution of AI tools and the importance of staying informed and adaptable.In this episode of the Ecomm Breakthrough podcast, host Josh Hadley speaks with Oren Michels, founder and CEO of Barndoor AI, about the growing role of AI agents in business operations. Oren explains how AI agents can autonomously perform tasks within systems like Shopify, Amazon, and Slack, while emphasizing the critical need for governance and trust. He introduces Barndoor AI as a control plane that enables secure connectivity and policy-based guardrails, preventing unintended actions. Practical use cases include email management, JIRA ticket handling, and financial forecasting. Oren advises listeners to start small, experiment with multiple AI tools, and develop strong problem-solving skills.Here are the 3 action items that Josh identified from this episode:Start with low-risk automation Deploy AI agents on simple, non-critical workflows first (e.g., email summaries, reporting) to test value and build internal trust before scaling. Enforce strict governance from day one Define clear permissions, rules, and guardrails—never give blanket access. Every AI action should be controlled, logged, and auditable. Design processes before deploying AI Break workflows into clear steps and craft precise prompts. Strong process design + prompt clarity = better, safer AI performance.Timestamps:00:00:00 The Problem of AI GovernanceOren discusses lack of governance in current AI systems and the risks of AI agents forgetting instructions.00:00:30 Podcast Introduction & Guest BackgroundPodcast is introduced, and Oren Michels' background and achievements are highlighted.00:00:44 The Rise of AI Agents in E-commerceJosh frames the future of e-commerce as dominated by AI agents and introduces Oren as the guest.00:02:06 Oren's Perspective on AI Agent AdoptionOren explains the rapid and slow pace of AI agent adoption, especially beyond coding tasks.00:03:02 What is Barndoor AI?Oren introduces Barndoor AI, focusing on connectivity and trust for AI agents in business systems.00:03:40 How Barndoor AI WorksDetails on how Barndoor AI enables granular control and governance over AI agent actions.00:05:45 Security and Guardrails for AI AgentsDiscussion on security risks, both from bad actors and unintended consequences by legitimate users.00:06:33 Difference Between Barndoor and Other AI ToolsOren explains how Barndoor adds governance missing from tools like OpenClaw and Claude.00:09:24 Use Case: Email Management with AI AgentsOren shares how he uses AI agents to manage and triage his daily email load efficiently.00:12:04 Why Governance Matters in AI ActionsExplains the importance of restricting AI actions to prevent mistakes, especially in sensitive tasks.00:13:00 Custom Rules and Granular PoliciesBarndoor allows highly specific rules for AI actions, such as price-based restrictions in e-commerce.00:13:58 Use Case: JIRA and Finance AutomationExamples of using AI agents for JIRA ticket management and automated financial reporting via Slack.00:16:48 Enterprise Use Cases & E-commerce OptimizationBarndoor's enterprise clients use AI for handling sensitive data and optimizing Amazon listings seasonally.00:19:08 Customer Service and Contextual CommunicationAI agents help draft personalized emails by pulling context from Salesforce and previous communications.00:20:40 AI Agent Adoption is Still EarlyOren emphasizes that AI agent use is in its infancy and encourages experimentation in low-risk areas.00:22:40 Personal Use Cases for AI AgentsJosh and Oren discuss personal productivity applications, like sports team management and scheduling.00:24:14 The Evolving AI Tool LandscapeDiscussion on the rapid evolution of AI tools, the importance of using multiple models, and specialization.00:27:47 Future of AI in Business OperationsSpeculation on the future: specialized AI tools for each business function, governed by platforms like Barndoor.00:31:00 The Importance of Problem-Solving and Prompt EngineeringSuccess with AI depends on defining problems and giving clear instructions, akin to prompt engineering.00:33:46 Actionable Takeaways for ListenersJosh summarizes three action items: start experimenting, document processes, and stay flexible with tools.00:36:44 Book Recommendation: Why Computers ThinkOren recommends a book that explains the probabilistic nature of AI and why it sometimes fails.00:37:34 Favorite AI Tool and Personal UseOren shares his favorite AI tools and how he uses them for both work and personal learning.00:38:49 Who to Follow: Aaron LevieOren recommends following Aaron Levie for insightful commentary on AI and business.00:39:28 Where to Learn More About Barndoor AIOren directs listeners to Barndoor AI's website and their personal product, Zenni, for hands-on experience.00:39:45 Podcast Wrap-UpPodcast concludes with thanks and a call to subscribe and leave a review.Resources mentioned in this episode:Josh Hadley on LinkedIneComm Breakthrough ConsultingeComm Breakthrough PodcastEmail Josh Hadley: Josh@eCommBreakthrough.comTools and Websites"OpenClaw": "00:00:00""Barndoor AI": "00:03:14""

Jeff and Jim welcome back Henrique Teixeira, SVP of Strategy at Saviynt, for his fourth appearance on the podcast. The episode opens with Jim's firsthand experience building an AI agent for a work project and discovering in real time how identity management challenges surface in the agentic era. After conference updates on EIC in Berlin and Identiverse in Las Vegas, Henrique unpacks the crowded terminology around AI agent governance, from Gartner's agent management platforms to UADP, the Unified Agentic Defense Platform. He proposes a three-pillar framework for managing AI and non-human identities: discovery, identity lifecycle and governance, and runtime access management, with guidance on where to start depending on whether your organization is greenfield or legacy-heavy. The conversation then examines how AI is reshaping the analyst business model, what makes information sources trustworthy, and how proprietary inquiry data forms the real competitive moat for firms like Gartner and Forrester. The episode closes with a wide-ranging discussion on AI's risk to shared cultural experiences, hyper-personalized entertainment, and the ethics of licensing your digital identity in the afterlife.Connect with Henrique: https://www.linkedin.com/in/bernardes/Connect with us on LinkedIn:Jim McDonald: https://www.linkedin.com/in/jimmcdonaldpmp/Jeff Steadman: https://www.linkedin.com/in/jeffsteadman/Visit the show on the web at http://idacpodcast.com00:00:00 Intro00:00:55 Jim's AI Agent Experiment and Identity Lessons00:06:04 Conference News: EIC and Identiverse00:07:22 Identity Beer Community Events00:08:40 Introducing Henrique Teixeira00:12:00 AI Control Plane: Competing Terminologies00:17:36 Three Pillars of AI Agent Identity Management00:18:46 Why Visibility Matters More for NHI00:20:00 Ownership, Accountability, and Humans at the Control Plane00:24:26 Industry Maturity and the Gaps That Remain00:25:41 Where to Start: Governance-First vs. Visibility-First00:29:52 AI's Impact on the Analyst Profession00:34:57 What Analyst Firms Have That AI Cannot Replace00:39:04 Trust, Boutique Analysts, and Repeatability00:44:34 Proprietary AI Chatbots and Gated Intelligence00:49:30 IP Rights and the Legal Gray Zone of AI Training00:52:14 AI and the Erosion of Shared Cultural Experience00:58:00 AI Music, Personalized Entertainment, and the Future of Art01:03:47 Digital Afterlife, Voice Clones, and AI Personas01:08:18 Wrap-Up and ClosingKeywords: IDAC, Identity at the Center, Jeff Steadman, Jim McDonald, Henrique Teixeira, Saviynt, AI identity control plane, non-human identities, NHI, agentic AI, AI agents, AI governance, identity lifecycle, access management, discovery, agent management platform, UADP, IAM, Gartner, analyst firms, AI and culture, digital identity, identity security, EIC, Identiverse, identity beer

www.iotusecase.com#IIoT #EdgeComputing #ContainerIn dieser Live-Episode von der Hannover Messe spricht Gastgeber Peter Schopf mit Tobias Mühlnikel von Portainer.io und Jürgen Pfeifer von WAGO. Im Mittelpunkt steht die Frage, wie Containerisierung im OT- und Shopfloor-Umfeld ein skalierbares Device- und Applikationsmanagement ermöglicht – von der Auswahl geeigneter Images über Edge-Deployment bis hin zu CI/CD, Rollbacks, Edge-KI und Datenhoheit. Podcast ZusammenfassungLive von der Hannover Messe diskutieren Portainer.io und WAGO, wie containerbasiertes Applikations- und Device-Management den Betrieb und das Skalieren von Edge-Lösungen im Shopfloor praxistauglich macht. Im Zentrum steht der Transfer bewährter IT-Prinzipien in die OT – ohne dass OT-Teams zu IT-Spezialisten werden müssen. Dabei treffen moderne Ansätze auf typische Herausforderungen: heterogene Hardware (32/64-Bit-Architekturen), fehlende Transparenz über Softwarestände („goldener USB-Stick“), aufwendige 1:1-Updates direkt am Schaltschrank sowie der organisatorische IT/OT-Gap mit klar definierten Update-Fenstern. Die technische Grundlage bilden standardisierte Docker-Images (z. B. Node-RED), die über eine Control Plane verteilt und per CI/CD automatisiert ausgerollt werden. Rollbacks ermöglichen es, jederzeit auf stabile Versionen zurückzugehen. Auch KI-Anwendungen lassen sich nahtlos integrieren: Edge-Hardware kann gezielt mit KI-Beschleunigern erweitert werden, um etwa Anomalie-Erkennung oder spezialisierte, kleinere LLMs (Tiny-LLMs) direkt vor Ort auszuführen – ohne den containerbasierten Stack zu verlassen. Für Entscheider ergibt sich ein klarer Mehrwert: schnellere und planbare Deployments über verteilte Standorte, reduzierte Reise- und Integrationskosten, höhere Modularität durch zusätzliche Container sowie mehr Unabhängigkeit von einzelnen Anbietern. -----Relevante Folgenlinks:Peter (https://www.linkedin.com/in/peter-schopf/)Tobias (https://www.linkedin.com/in/tobias-mue/?locale=de)Jürgen (https://www.linkedin.com/in/juergen-pfeifer/)Jetzt IoT Use Case auf LinkedIn folgen1x monatlich IoT Use Case Update erhalten

Assertions vs Types: Design by Contract, Deterministic Simulation Testing, and Safety vs Availability (TigerBeetle Vol. 3)In this episode (volume 3), Kai talks with Alex about assertions, type systems, and design by contract, arguing it's not “types vs assertions” but using both: types for cheap, structural guarantees and assertions where types become too costly or obscure logic. Alex defines assertions (in Zig) as a function that crashes the program on false, explains why disabling assertions in production is dangerous, and ties reliable assertion use to deterministic simulation/generative testing to exercise error paths. We discuss aiming for very high assertion density, repeating weak and strong assertions across call sites and callees to form an interlocking “net,” and note you don't need special language features for DBC. We also cover safety vs availability tradeoffs, recovery/isolation boundaries (“let it crash” with recovery), TigerBeetle's approach to correctness, a real cache/hash-table bug caught by an assertion, handling poison-pill failures via fix-forward and frequent releases, control plane vs data plane performance tactics for assertions, and why Alex doesn't use AI to write TigerBeetle code.Chapters:00:00 Welcome and Intro01:33 Assertions Versus Types03:05 Silver Bullets Origins08:10 When Types Get Costly11:06 What Is an Assertion?12:40 Never Disable Assertions15:30 Testing and Error Paths19:52 Simulation Testing Harness22:50 Where to Assert Everywhere27:01 Redundant Contracts Benefits33:08 No Language Features Needed38:01 Visibility and Abstractions40:47 Boundaries and Integration44:01 Safety Versus Liveness Setup44:31 Safety vs Availability Tradeoffs46:16 Let It Crash Philosophy47:13 Isolation and Recovery Boundaries48:02 TigerBeetle vs IDE Priorities53:48 Always Assertions Pattern55:46 Cascading Failures in Clusters57:57 Fix Forward and Fast Releases01:02:27 Worst TigerBeetle Bug Story01:07:00 Control Plane vs Data Plane01:09:50 Assertion Performance Tactics01:15:18 AI Limits for Safety Systems01:18:55 Closing Advice on AssertionsFor memberships: join this channel as a member here:https://www.youtube.com/channel/UC_mGuY4g0mggeUGM6V1osdA/joinDon't forget to like, share, and subscribe for more insights!=============================================================================Like building stuff? Try out CodeCrafters and build amazing real world systems like Redis, Kafka, Sqlite. Use the link below to signup and get 40% off on paid subscription.https://app.codecrafters.io/join?via=geeknarrator=============================================================================Database internals series: https://youtu.be/yV_Zp0Mi3xsPopular playlists:Realtime streaming systems: https://www.youtube.com/playlist?list=PLL7QpTxsA4se-mAKKoVOs3VcaP71X_LA-Software Engineering: https://www.youtube.com/playlist?list=PLL7QpTxsA4sf6By03bot5BhKoMgxDUU17Distributed systems and databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4sfLDUnjBJXJGFhhz94jDd_dModern databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4scSeZAsCUXijtnfW5ARlrsNStay Curios! Keep Learning!

SUMMARY: Morgan Foster talks about the Kagenti project, which enables an AI Agent agnostic framework for security, authentication, identity and zero-trust.SHOW: 1011SHOW TRANSCRIPT: The Reasoning Show #1011 TranscriptSHOW VIDEO: https://youtu.be/djFZruLEDiwSHOW NOTES:Kagenti (homepage)Kagenti (use-cases)“Old Things that look like Agents”“What makes Agents different?”CNV - What Makes Agents Different?“Handing your phone to a stranger, why Agents need their own identity”Topic 1 - Welcome to the show. Tell us a little bit about your background and areas you focus on today. Topic 2 - Tell us a bit about the Kagenti project and the types of challenges it's trying to solve for Agentic AI deployments. Topic 3 - How much commonality exists between different Agentic frameworks that a common, agnostic agentic orchestration approach can work? And how much difference still exists and would drive companies to silo'd deployments? Topic 4 - How far should an Agentic Orchestration framework go, and what types of things do you expect will still be Agentic framework dependent? Is Kagenti more of a control-plane element, or more of a data-plane element? Topic 5 - As Kagenti evolves, what are some of the adjacent things that people should be keeping an eye on that might be a dependency, or could shift the direction of the project?FEEDBACK?Email: show @ reasoning dot showBluesky: @reasoningshow.bsky.socialTwitter/X: @ReasoningShowInstagram: @reasoningshowTikTok: @reasoningshow

Right now, a lot of engineering leaders are stuck in the same loop: rolling out AI tools only to watch their teams quietly drift back to business as usual. Andrew sits down with James Everingham, former Head of Dev Infra at Meta and current CEO of guild.ai, to discuss how to break this cycle by treating AI not just as an autocomplete tool, but as a "sentient fabric" woven directly into your software development lifecycle.  They explore how replacing top-down AI mandates with impossible business challenges—like eliminating code freezes entirely—empowers developers to organically build game-changing tools like conversational onboarding agents. Finally, James breaks down why 2026 is the year of the agent and how his team is building the enterprise infrastructure needed to safely govern, audit, and scale collaborative agent workflows.Follow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's guest:Learn more about Guild: guild.aiFollow James Everingham: LinkedInOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Bryan Cantrill, the co-founder and CTO of Oxide Computer company, speaks with host Jeremy Jung about challenges in deploying hardware on-premises at scale. They discuss the difficulty of building up Samsung data centers with off-the-shelf hardware, how vendors silently replace components that cause performance problems, and why AWS and Google build their own hardware. Bryan describes the security vulnerabilities and poor practices built into many baseboard management controllers, the purpose of a control plane, and his experiences building one in NodeJS while struggling with the runtime's future during his time at Joyent. He explains why Oxide chose to use Rust for its control plane and the OpenSolaris-based Illumos as the operating system for their vertically integrated rack-scale hardware, which is designed to help address a number of these key challenges. Brought to you by IEEE Computer Society and IEEE Software magazine.

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Очередное мок-собеседование на канале! Сегодня в гостях Саша (не СТО) — Senior DevOps Engineer, с которым мы проходим по всему циклу разработки: от проектирования CI/CD до траблшутинга в Kubernetes.  Много практики, лайв-кодинга и архитектурных вопросов. Слушаем, запоминаем вопросы, влетаем за разбором на Patreon/Бусти!

What exactly is an "AI Control Plane," and why might it become an integral part of your business strategy in 2026? In this episode, Courtney Baker, David DeWolf, and Mohan Rao look around the corner to predict the major shifts coming to the enterprise in 2026. They discuss the move from isolated AI experiments to verticalized systems, the rise of the "AI Control Plane," and whether a Fortune 500 company will finally kill the 40-hour work week. Then, Domo's Chief Design Officer Chris Willis joins Pete Buer to challenge the "magical thinking" that often derails AI adoption. He explains why dashboards aren't dead (they just need to get smarter), what it takes to build real-time intelligence you can trust, and why organizational design is the biggest barrier to success. Plus, in the news: KPMG is training new hires to be "managers of agents" rather than analysts. Pete and Courtney unpack this radical shift in talent strategy and ask: if juniors stop doing the grunt work, how will they learn the judgment needed to lead? Topics covered: 2026 Predictions: Vertical AI, the "Control Plane," and will one brave Fortune 500 company introduce a 35-hour work week? The Trust Gap: Why "magical thinking" is hurting enterprise AI adoption. Organizational Design: Why handoffs and silos are the real enemy of AI success. The New Junior Role: The pros and cons of hiring "managers of agents." Watch the full episode on YouTube: https://youtu.be/JLaTV7xK1CY  Grab the AI Strategy Playbook at Knownwell: https://www.knownwell.com/playbook  Show Notes Visit Domo's website Connect with Chris Willis on LinkedIn Connect with David DeWolf on LinkedIn Connect with Mohan Rao on LinkedIn Connect with Courtney Baker on LinkedIn Connect with Pete Buer on LinkedIn Try Knownwell free for 30 days Schedule a guided Knownwell demo Follow Knownwell on LinkedIn

Welcome to Episode 415 of the Microsoft Cloud IT Pro Podcast. Ben and Scott discuss the major announcements from Microsoft Ignite 2025, focusing on the dominant themes of AI agents and security. The conversation centers on three key areas: Security Copilot updates, Agent 365 for governance, and the broader security and management implications for IT professionals. Key Discussion Topics Security Copilot Expansion to E5 Customers 12 new Security Copilot agents coming to Defender, Entra, Intune, and Purview 30+ partner agents being added to the ecosystem Major announcement: Security Copilot will now be available to all Microsoft 365 E5 customers Rollout begins with Frontier program (Microsoft's insider ring for Copilot) Expanding in coming months to all E5 customers Security Copilot spans four pillars: Security Operations (Defender + Sentinel) Data Security (Purview) Identity & Access (Entra) Endpoint Management (Intune) Microsoft Agent 365 - The Control Plane for Agents Addresses the critical problem of agent sprawl and governance Think of it as "Entra ID for AI agents" Core capabilities: Registry: Complete inventory of all agents (registered, unregistered, and shadow agents Access Control: Conditional access policies and risk-based policies for agents Monitoring: Real-time visibility into agent behavior, performance, and organizational impact Security Integration: Defender protection, Purview data governance Key governance features: Approve pending agent requests Identify ownerless agents Apply DLP policies to agents Conditional access for agents Secure score for agents Available now through Frontier program in Microsoft 365 admin center Overarching Themes Agent security is the new frontier: All major product announcements (Purview, Entra, Defender) are focused on agent governance 100 trillion daily signals inform Microsoft's threat intelligence Ignite's evolution: Less about big product launches, more about storytelling and connecting features released throughout the year IT Pro focus: Understanding, managing, and securing AI agents is becoming a core competency Key Observations Ignite 2025 is heavily focused on AI and security - limited announcements for traditional products like SharePoint, Teams, or Loop The shift reflects Microsoft's rapid release cadence in the cloud era Agent sprawl is real and Microsoft is proactively addressing governance needs IT professionals need to embrace this change: "The only way out is through" Your support makes this show possible! Please consider becoming a premium member for access to live shows and more. Check out our membership options. Show Notes About the sponsors Would you like to become the irreplaceable Microsoft 365 resource for your organization? Let us know!

Breaking Analysis with Dave Vellante

Welcome to a special launch series of the Pure Report podcast! Join us as we take a deep dive into Pure Storage's Intelligent Control Plane (ICP), a set of groundbreaking innovations redefining IT operations and enabling users to realize the Enterprise Data Cloud. We're thrilled to host Chadd Kenney, VP of Product Management, who helps us unpack how the ICP tackles data silos, operational complexity, and productivity bottlenecks, transforming hundreds of systems into what feels like one virtual cloud of data with Pure Fusion. Discover how Fusion Presets streamline policy-driven deployments, how intelligence extends to modern apps with Portworx native integration, and the exciting possibilities of AI-Copilot and Data Intelligence. In this episode, Chadd will share insights on how these innovations continue Pure Storage's core hallmark of simplicity in operations, delivering Evergreen architecture at a fleet-wide level. We'll explore how the ICP empowers operators with real-time awareness and workflow orchestration, as demonstrated at Accelerate in Las Vegas and New York, enabling full-stack, application-level outcomes. Plus, Chadd offers his "hot takes" on industry trends, common misconceptions about infrastructure automation, and the evolving role of the IT operator in the next five years. Tune in to understand how the Intelligent Control Plane and Pure Fusion are setting a new standard for data management.

This week on The Business of Open Source I spoke with Andrew Martin, CEO and founder of Control Plane. Control Plane is ultimately a consulting company, as Andrew introduced it. But the company also created and maintains KubeSec, and also has an enterprise version of Flux CD that it licenses. That gives this conversation a slightly different flavor from the usual. Here's some of the things we talked about: The business ROI that Andrew expected to get from releasing KubeSec, and whether or not he as actually seen those expected results play outThe difference between bootstrapping a company by offering services and by offering consulting — specifically what the difference between services and consulting is. The problem with “drive-by” feature development in open source projects — when people contribute features but don't commit to the ongoing maintenance of the projectWhy Control Plane decided to release an enterprise version of FluxCD, and how the enterprise version of Flux is differentiated from the pure open source project. Why underinvesting in marketing, especially in marketing for the open source projects, was a mistakeJoin us at Open Source Founders Summit if you want more conversations about how companies are built around open source projects, from consultancies to large corporations. 

Sriram Panyam, CTO at DagKnows, discusses SaaS Control Planes with SE Radio host Brijesh Ammanath. The discussion starts off with the basics, examining what control planes are and why they're important. Sriram then discusses reasons for building a control plane and the challenges in designing one. They explore design and architectural considerations when building a SaaS control plane, as well as the key differences between a control plane and a data plane. This episode is sponsored by QA Wolf.

This week on the show, we talk with Bill Tarr, Principal Solutions Architect at AWS SaaS Factory. He's a super thoughtful guy, expert in SaaS architecture and architectural patterns. We talk about tenancy, infrastructure decisions, SaaS gotchas, security, permissioning, and even dip into technical challenges of building Gen AI into SaaS. Timestamps 00:01:29 Background 00:07:26 Common Challenges 00:11:46 Infrastructure Choices 00:14:29 Missteps 00:18:57 Control Plane & Application Plane 00:25:52 Permissioning in a Multi-tenant setup 00:32:54 Gen AI & SaaS 00:35:07 Amazon Bedrock 00:49:27 Quickfire questions 01:01:17 Security In SaaS

How do you manage your DNS? Carl and Richard talk to Anthony Eden of DNSimple about his latest product, the Domain Control Plane. Anthony talks about how everyone has DNS—and usually in more than one place. Getting a common view of all your DNS entries, no matter where they are, is valuable, but being able to automate changes is even more important, especially as things scale up! The conversation ranges over development, cloud, scaling systems, and some old-fashioned geekery!

How do you manage your DNS? Carl and Richard talk to Anthony Eden of DNSimple about his latest product, the Domain Control Plane. Anthony talks about how everyone has DNS—and usually in more than one place. Getting a common view of all your DNS entries, no matter where they are, is valuable, but being able to automate changes is even more important, especially as things scale up! The conversation ranges over development, cloud, scaling systems, and some old-fashioned geekery!

AP correspondent Ben Thomas reports on the latest developments in the Russi-Ukraine war, as it enters its third year.

Highlights from this week's conversation include:Nick's background and journey in data (2:28)Founding Dagster Labs (7:50)The evolution of data engineering (12:32)Fragmentation in data infrastructure (15:04)The role of orchestration in data platforms (19:53)The importance of operational tools for data pipelines (25:01)Lessons learned from working with GraphQL (26:19)The role of the orchestrator in data engineering (34:51)The boundaries between data infrastructure and product engineering (37:33)Different orchestrators in the data infrastructure landscape(42:03)The role of MLOps in data engineering (46:04)Data Quality and Orchestration (51:04)Future of Data Teams and Orchestration (54:27)Final thoughts and takeaways from (58:01)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.

Iranian APT data extraction tool described. LockBit gang comes under DDoS. Twitter whistleblower security claims made public. Poland and Ukraine conclude cybersecurity agreement. Greek national natural gas supplier under criminal cyberattack. Update to the Joint Alert on Zimbra exploitation. Addition to CISA's Known Exploited Vulnerabilities Catalog. Johannes Ullrich from SANS on Control Plane vs. Data Plane vulnerabilities. Our guest is David Nosibor, Platform Solutions Lead for UL to discuss SafeCyber Phase II. And, finally, targeting and trolling, with an excursus on Speedos. Really. For links to all of today's stories check out our CyberWire daily news briefing: https://thecyberwire.com/newsletters/daily-briefing/11/159 Selected reading. New Iranian APT data extraction tool (Google) LockBit gang hit by DDoS attack after Entrust leaks (Register)  Former security chief claims Twitter buried ‘egregious deficiencies' (Washington Post)  Ex-Twitter exec blows the whistle, alleging reckless and negligent cybersecurity policies (CNN)  Twitter's Ex-Security Head Files Whistleblower Complaint (Wall Street Journal) Deception, Bots, and Foreign Agents: The Twitter Whistleblower's Biggest Allegations (Time) The Ministry of Digital Transformation, State Service of Special Communication and Information Protection and the Council of Ministers of the Republic of Poland signed Memorandum of understanding in the cybersecurity field. (State Service of Special Communication and Information Protection)  Greek natural gas operator suffers ransomware-related data breach (BleepingComputer)  Greek gas operator refuses to negotiate with ransomware group after attack (The Record by Recorded Future) Announcement | (DESF) Threat Actors Exploiting Multiple CVEs Against Zimbra Collaboration Suite (CISA)  US government really hopes you've patched your Zimbra server (Register) CISA Adds One Known Exploited Vulnerabilities to Catalog (CISA)  Speedo-wearing Russian tourists leak defence secrets on Twitter (The Telegraph)