Podcasts about Kubernetes

Brian Gracely (@bgracely) and Brandon Whichard (@bwhichard, @SoftwareDefTalk) discuss the top stories in Cloud and AI from October 2025.SHOW: 973SHOW TRANSCRIPT: The Cloudcast #973 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST:  "CLOUDCAST BASICS"SPONSORS:[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search “Interconnected by Equinix”.[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcastSHOW NOTES:Link to October 2025 News and ArticlesFEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

In this episode of De Nederlandse Kubernetes Podcast, we talk with Jim Bugwadia, founder and CEO of Nirmata, and Shuting Zhao, Staff Engineer and one of the maintainers of Kyverno — the CNCF project for Kubernetes policy management.Jim and Shuting share how Kyverno was born from Nirmata's commercial work and has since become one of the most widely adopted open source projects in Kubernetes governance, with over 3.4 billion image pulls.We explore the real question: Why does Kubernetes need policies if it's already declarative? Jim explains how policy as code helps developers, operators, and security teams collaborate on cluster configuration at scale — from pod security to resource quotas, network policies, and automation.Shuting dives deeper into how Kyverno enables granular control, policy exceptions, and flexible enforcement modes — from audit to enforce. They discuss how large organizations use policy automation to improve compliance, security, and even cost efficiency, citing use cases like Adidas saving 50% in dev/test environments using policy-driven resource management.We also touch on:

AWS Morning Brief for the week of November 3rd, with Corey Quinn. Links:Beyond pilots: A proven framework for scaling AI to productionNew Amazon CloudWatch metrics to monitor EC2 instances exceeding I/O performanceProcessing Amazon S3 objects at scale with AWS Step Functions Distributed Map S3 prefixWhat's the difference between AWS ParallelCluster and AWS Parallel Computing Service?France Télévisions prepared for 2024 Olympic Games with AWS Countdown PremiumAmazon Kinesis Data Streams now supports 10x larger record sizesAmazon DocumentDB (with MongoDB compatibility) announces upgraded query planner that can run queries up to 10x fasterAnnouncing AWS X-Ray SDKs/Daemon End-of-Support and OpenTelemetry MigrationAmazon S3 adds conditional write functionality to copy operationsIntroducing the Capacity Reservation Topology API for AI, ML, and HPC instance typesHow to deploy a SQL Server Failover Cluster Instance across three Availability Zones using Storage Spaces Direct Reduce CAPTCHAs for AI agents browsing the web with Web Bot Auth (Preview) in Amazon Bedrock AgentCore BrowserUsing Kubernetes Labels to Split and Track Application Costs on Amazon EKSIntroducing AWS Lambda event source mapping tools in the AWS Serverless MCP Server Split Cost Allocation Data for Amazon EKS supports Kubernetes labels

Patterns in technology tend to eventually repeat themselves (or at least rhyme), and Amazon is beginning to repeat some of the patterns of Cisco from the early 2000s SHOW: 972SHOW TRANSCRIPT: The Cloudcast #972 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSORS:[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcast[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search “Interconnected by Equinix”.SHOW NOTES:Staying nimble and continuing to strengthen our organization (Amazon, Oct 2025)Strengthening our culture and teams (Amazon, Sept 2024)Amazon Leadership PrinciplesWHERE ARE THE BIGGEST AI RISKS?Significant changes from one industry era to the next (Internet to SaaS, Cloud to AI)Once dominant position in a market now appears less dominant (Worth more than next 20 competitors; 7yr head start)Guiding cultural principles well-known within the company - start adding more and more to themEmployee motivation driving by stock price as much as work activitiesCulture evolves and erodes over time as the business changes and evolves - it's nearly impossible to reset the company cultureCompanies can rebound from being lost in the woods, but it's very, very difficultDeath by 1000 cuts in a virtuous cycle - employees are constantly more worried about job status than project status - the perception of who gets to make mistakes and who is responsible for mistakesFEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

Shane has teething issues with his Kubernetes homelab, Sean ran a bootable containers workshop at Texas Linux Fest, and the case for enterprise rolling distros.         Support us on patreon and get an ad-free RSS feed with early episodes sometimes           Subscribe to the RSS feed.  

Shane has teething issues with his Kubernetes homelab, Sean ran a bootable containers workshop at Texas Linux Fest, and the case for enterprise rolling distros.         Support us on patreon and get an ad-free RSS feed with early episodes sometimes           Subscribe to the RSS feed.  

Aproveitamos a AWS fora do ar e o linkedin cheio de especialistas para falar um pouco sobre DevOps e SRE: o que realmente falhou, como dependências globais amplificam incidentes e por que comunicação e telemetria mudam o jogo quando o provedor está cambaleando. Falamos de estratégias de resiliência multi‑região, desenho de failure domains e decisões pragmáticas de RTO/RPO. Discutimos feature flags para degradar funcionalidades com graça, circuit breakers e backoff nos clientes, priorização de runbooks e exercícios de caos que realmente medem MTTR. Também passamos por impactos colaterais em serviços gerenciados (EKS, IAM, KMS, DynamoDB), observabilidade em modo de guerra e os limites do “gerenciado”.Fechamos com lições acionáveis para times de produto e plataforma: desde budget de disponibilidade e custos até testes de recuperação orientados a cenários. Dois tópicos‑chave que destacamos: resiliência multi‑região na prática e como treinar a organização para incidentes de baixa probabilidade e alto impacto.Por fim, damos um giro de lições aprendidas para equipes de produto e plataforma: feature flags para fallback de integrações, rotas alternativas para planos de controle, circuit breakers em clientes, e playbooks para comunicação com stakeholders. Dois tópicos que merecem atenção especial neste papo: resiliência multi-região na prática e como preparar sua organização para incidentes “quase improváveis”.#Links Importantes:- Lucas Azevedo - https://www.linkedin.com/in/lazevedo-devops/- Comunidade DevOps no Discord - https://discord.com/invite/k6wPagw4tV- João Brito - https://www.linkedin.com/in/juniorjbn/- Assista ao FilmeTEArapia - https://youtu.be/M4QFmW_HZh0?si=HIXBDWZJ8yPbpflM## Hashtags#DevOps #SRE #AWS #Outage #DNS #DynamoDB #AltaDisponibilidade #Resiliencia #Observabilidade #ChaosEngineering #IncidentResponse #Runbooks #FeatureFlags #CircuitBreaker #RTO #RPO #Kubernetes #DevSecOps #Kubicast #Containers #GetupO Kubicast é uma produção da Getup, empresa especialista em Kubernetes e projetos open source para Kubernetes. Os episódios do podcast estão nas principais plataformas de áudio digital e no YouTube.com/@getupcloud.

Join William Collins and Evyonne Sharp as they catch up on all things AI. They discuss the AI bubble and how it relates to venture capital, stock, and company evaluations. They talk about the AI experience for the average person, the adoption rate of AI tools, and how the AI infrastructure buildout might affect the... Read more »

GKE turned 10 in 2025! In this episode, we talk with GKE PM Gari Singh about GKE's journey from early container orchestration to AI-driven ops. Discover Autopilot, IPPR, and a bold vision for the future of Kubernetes. Do you have something cool to share? Some questions? Let us know: web: kubernetespodcast.com mail: kubernetespodcast@google.com X: @kubernetespod bluesky: @kubernetespodcast.com News of the week Cloud Native Computing Foundation Announces Knative's Graduation llm-d 0.3: Wider Well-Lit Paths for Scalable Inference vllm-project/semantic-router on github Announcing the Certified Meshery Contributor (CMC) Introducing Headlamp Plugin for Karpenter - Scaling and Visibility Links from the interview Kelsey Hightower's Kubernetes the Hard Way MiniKube Kind Docker Compose Docker Swarm GKE Autopilot Dynamic Resource Allocation (DRA) Google Cloud TPUs Node Auto Provisioning (GKE) Jax (Machine Learning Framework) Horizontal Pod Autoscaling (HPA) Serverless on Google Cloud Grafana Prometheus Kubectl-ai Vertical Pod Autoscaler (VPA) Kubernetes v1.33: In-Place Pod Resize Graduated to Beta In-place Vertical Scaling of Pods - Resize CPU and Memory Resources assigned to Containers GKE under the hood: Container-optimized compute delivers fast autoscaling for Autopilot

Soham Mazumdar, CEO and Co-Founder of WisdomAI, discusses how organizations can break free from the "drowning in data but starving for insights" paradox that plagues modern enterprises. We explore his journey from Google's TeraGoogle project to co-founding and scaling Rubrik through its $5.6 billion IPO, and why he left that success to build an agentic AI approach to Business Intelligence (BI) that transforms how businesses extract value from their data investments.SHOW: 971SHOW TRANSCRIPT: The Cloudcast #963 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS" SPONSORS:[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search “Interconnected by Equinix”.[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcastSHOW NOTES:WisdomAI websiteTopic 1 - Welcome to the show, Soham. We overlapped briefly at Rubrik. Give everyone a quick introduction and tell everyone a bit about your time at Google prior to RubrikTopic 2 - You helped scale Rubrik from inception to a $5.6 billion IPO in 2024. What was the "aha moment" that made you leave that success to tackle the enterprise data analytics problem with WisdomAI?Topic 3 - Let's define the core problem. Organizations invest heavily in modern data platforms - Snowflake, Databricks, etc. - but there is the term "drowning in data but starving for insights." What's broken in the traditional BI stack that prevents business users from getting answers?Topic 4 - How do agentic AI and BI fit together? WisdomAI introduces the concept of "Knowledge Fabric" and agentic data insights. Break this down for us - how does this fundamentally differ from traditional dashboards and BI tools?Topic 5 - One of the biggest challenges with GenAI in enterprise settings is hallucination. You've emphasized that WisdomAI separates GenAI from answer generation. How does your approach tackle this critical trust issue?Topic 6 - Let's talk about data integration complexity. Your platform works with both structured and unstructured data - Snowflake, BigQuery, Redshift, but also Excel, PDFs, PowerPoints. How do you handle this "dirty" data reality that most enterprises face?Topic 6a - With so much data, how do most organizations get started? What's a typical use case for adoption?Topic 7 - If anyone is interested, what's the best way to get started?FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

In this episode of De Nederlandse Kubernetes Podcast, we talk with Carlos Santana, Principal Partner Solution Architect at AWS and long-time contributor to the Kubernetes and AI communities.Carlos joins us to explore what it really takes to run AI workloads on Kubernetes, from GPU scheduling to scaling inference and training efficiently across clusters. We discuss how AI and machine learning are transforming the cloud-native ecosystem — and why orchestration is becoming just as important as the models themselves.He shares insights into:

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Why are 95% of AI projects struggling to create positive ROI, according to a recent MIT study? Do businesses need help getting those first few AI projects started and driven to success?SHOW: 970SHOW TRANSCRIPT: The Cloudcast #970 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSORS:[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcast[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search “Interconnected by Equinix”.SHOW NOTES:MIT Study - The State of AI in Business (2025)The Information - Interview with Vihod Khosla (Oct 2025)WHERE ARE THE BIGGEST AI RISKS?Why are Businesses struggling with AI projects in 2025?What are simple steps to make AI projects successful?FEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

eBPF holds the potential for true automatic instrumentation for observability. OpenTelemetry eBPF Instrumentation (OBI) is a new addition to the OpenTelemetry project, which brings the promise of a multi-language, multi-protocol auto-instrumentation, thanks to a code donation by Grafana Labs. Our guest today is Mario Macías, Principal Software Engineer at Grafana Labs and OpenTelemetry eBFP Instrument maintainer. Macías joins Horovits to share about OBI, its origins, capabilities and how it fits into the broader OpenTelemetry project. Mario holds a Ph.D. in Computer Architecture and for the last 8 years he's been working in observability at different companies. He also authored books in Spanish language, such as "Programación en Go" or "Introducción a Apache Spark". You can read the recap post: https://medium.com/p/377cb0432bf1Show Notes:00:00 - episode intro02:11 - guest intro05:15 - Beyla origins08:45 - OBI for app monitoring14:46 - no-code multi-language instrumentation 23:12 - OBI trace support33:58 - OBI components43:39 - Beyla project new focus47:21 - OTel instrumentation SIG51:34 - collaboration with other OTel components and SIGs 54:59 - OBI roadmap59:26 - outro Resources:OBI on GitHub: https://github.com/open-telemetry/opentelemetry-ebpf-instrumentation/ Grafana Beyla donation: https://grafana.com/blog/2025/05/07/opentelemetry-ebpf-instrumentation-beyla-donation/ eBPF for continuous profiling and the Parca project: https://medium.com/p/8afd5bafd498eBPF for tracing and OTel GoLang Auto-instrumentation SIG: https://www.youtube.com/watch?v=VFykWV1mLAI&list=PLd57eY2edRXz4djMETYTm-2p8WGTdoX3DeBPF for Kubernetes monitoring and the Pixie project: https://www.youtube.com/watch?v=NYDBj5ctKaw&list=PLd57eY2edRXz4djMETYTm-2p8WGTdoX3D&index=52Dotan Horovits============Twitter: @horovitsLinkedIn: www.linkedin.com/in/horovitsMastodon: @horovits@fosstodonBlueSky: @horovits.bsky.socialMario Macías===========LinkedIn: https://www.linkedin.com/in/mariomac/Mastodon: https://masto.es/@maciasSocials:BlueSky: ⁠https://bsky.app/profile/openobservability.bsky.social⁠Twitter: ⁠⁠https://twitter.com/OpenObserv⁠⁠LinkedIn: ⁠https://www.linkedin.com/company/openobservability/⁠YouTube:⁠ ⁠https://www.youtube.com/@openobservabilitytalks⁠⁠OpenObservability Talks episodes are released monthly, on the last Thursday of each month and are available for listening on your favorite podcast app and on YouTube.

Deloitte wpadł na $440k raporcie wygenerowanym przez AI z “przepięknymi halucynacjami” - cytaty prowadziły do nieistniejących książek i przemówień. Łukasz komentuje sucho: “AI można używać, ale warto sprawdzić, co wygenerowało.” Tymczasem GitHub dostał rozkaz migracji z AWS do Azure w 18 miesięcy.

Cloud Posse holds LIVE "Office Hours" every Wednesday to answer questions on all things related to AWS, DevOps, Terraform, Kubernetes, CI/CD. Register at https://cloudposse.com/office-hoursSupport the show

Se você acha que segurança em nuvem é só ligar um CSPM e ser feliz, neste episódio a gente mostra que a história é bem mais cabeluda e divertida. Recebemos o Leandro Venâncio para destrinchar desde responsabilidade compartilhada e Zero Trust até o que realmente funciona no dia a dia de clusters Kubernetes sob fogo cruzado. Falamos de cultura, automação e das ciladas que a gente só aprende depois de tomar uns tombos.Partimos do básico bem-feito (identidade, redes e criptografia) e avançamos para governança com políticas (Kyverno/Gatekeeper), esteira com SAST/DAST/SCA, SBOM decente e segredos administrados em KMS/External Secrets. Amarramos com observabilidade, resposta a incidentes e como priorizar risco sem virar refém de dashboards. Spoiler: custo, compliance e performance entram no mesmo bolo e não dá pra fingir que não existem.Entre as pautas, destacamos: como aplicar Zero Trust em workloads efêmeros; por que "shift left" sem operações maduras mais atrapalha que ajuda; e onde CNAPP, CSPM e admission controllers se encontram. E claro, casos reais — porque a teoria é linda, mas a produção é quem manda.#Links Importantes:- Leandro Venâncio - https://www.linkedin.com/in/leandro-venancio/- LowOps cast com Rafael Ferreira - https://www.youtube.com/live/SC6a11HClX4- João Brito - https://www.linkedin.com/in/juniorjbn/- Assista ao FilmeTEArapia - https://youtu.be/M4QFmW_HZh0?si=HIXBDWZJ8yPbpflMO Kubicast é uma produção da Getup, empresa especialista em Kubernetes e projetos open source para Kubernetes. Os episódios do podcast estão nas principais plataformas de áudio digital e no YouTube.com/@getupcloud.

Monzy Merza (@monzymerza, CEO/Founder @Crogl) talks about build a next-generation Enterprise SOC by leveraging AI to stay ahead of Cybersecurity threats.SHOW: 969SHOW TRANSCRIPT: The Cloudcast #969 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS" SPONSORS:[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search “Interconnected by Equinix”.[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcastSHOW NOTES:Crogl websiteTechCrunch articleForbes ArticleIntellyx ArticleLast WatchDog ArticleTopic 1 - Welcome to the show, Monzy. Give everyone a brief introduction and tell us about your unique journey from government research to Splunk to Databricks to founding Crogl.Topic 2 - Let's start with the current state of cybersecurity and AI. We're seeing headlines about AI being the top cybersecurity concern for 2025, even overtaking ransomware. From your perspective, what's driving this shift and why should organizations be paying attention to the intersection of cybersecurity and AI?Topic 3 - You've described Crogl as an "Iron Man suit" for security analysts. That's a compelling metaphor. Can you break down what you mean by that and how your approach differs from the traditional "reduce alerts" mentality that most vendors have been pushing?Topic 4 - Let's talk about your "knowledge engine" and what you call an “AI for the Enterprise SOC”. You're using compound AI systems with LLMs, smaller models, and knowledge graphs. This sounds quite different from vendors who are just "bolting on" LLMs to existing tools. Walk us through this architectural decision and why it matters.Topic 5 - The cybersecurity industry is experiencing massive alert fatigue - 4,500 alerts per day, with analysts only able to investigate 8-25 of them. Your philosophy is "every alert should be analyzed" rather than filtering them out. That seems counterintuitive to what the market has been doing. How does your autonomous investigation approach actually work in practice?Topic 6 - Where do you see this evolution heading, and what are the implications for SOC teams and security practitioners? Are we heading toward fully autonomous SOCs?FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodI

In this episode of the Ardan Labs Podcast, Bill Kennedy talks with Zack Holland, CEO & Founder of Averi AI, about his journey from early life in Ecuador's Amazon rainforest to building an AI-powered marketing platform. Zack shares lessons from early business ventures, the challenges of running startups, and the evolution of his entrepreneurial mindset. They explore how Averi AI helps marketers become more creative and efficient, the importance of data security and trust in AI, and what it takes to innovate in a rapidly evolving digital landscape.00:00 Introduction02:54 Marketing and AI Evolution05:58 Changing Digital Landscape09:04 Early Life and Influences12:02 From Ecuador to Utah18:00 First Business in High School29:53 LLMs and Entrepreneurship39:44 Lessons from Failure43:46 Starting a Marketing Agency56:19 Founding Avery AI01:08:10 Trust and Data Security01:13:14 Marketing and AI Adoption01:17:58 AI Challenges and Opportunities01:26:00 Contact Info Connect with Zack: Linkedin: https://www.linkedin.com/in/zackhollandX: https://x.com/zack_hollandMentioned in this Episode:Averi AI: https://www.averi.ai/Want more from Ardan Labs? You can learn Go, Kubernetes, Docker & more through our video training, live events, or through our blog!Online Courses : https://ardanlabs.com/education/ Live Events : https://www.ardanlabs.com/live-training-events/ Blog : https://www.ardanlabs.com/blog Github : https://github.com/ardanlabs

Welcome to episode 327 of The Cloud Pod, where the forecast is always cloudy! Justin, Matt, and Ryan are here to bring you all the latest news (and a few rants) in the worlds of Cloud and AI. I'm sure all our readers are aware of the AWS outage last week, as it was in all the news everywhere. But we've also got some new AI models (including Sora in case you're low on really crappy videos the youths might like), plus EKS, Kubernetes, Vertex AI, and more. Let's get started!  Titles we almost went with this week Oracle and Azure Walk Into a Cloud Bar: Nobody Gets ETL’d When DNS Goes Down, So Does Your Monday: AWS Takes Half the Internet on a Coffee Break 404 Cloud Not Found: AWS Proves Even the Internet’s Phone Book Can Get Lost DNS: Definitely Not Staffed – How AWS Lost Its Way When It Lost Its People When Larry Met Satya: A Cloud Love Story Azure Finally Answers ‘Dude, Where’s My Data?’ with Storage Discovery Breaking: Microsoft Discovers AI Training Uses More Power Than a Small Country 404 Engineers Not Found – AWS Learns the Hard Way That People Are Its Most Critical Infrastructure Azure Storage Discovery: Finding Your Data Needles in the Cloud Haystack EKS Auto Mode: Because Even Your Clusters Deserve Cruise Control Azure Gets Reel: Microsoft Adds Video Generation to AI Foundry The Great Token Heist: Vertex AI Steals 90% Off Your Gemini Bills Cache Me If You Can: Vertex AI’s Token-Saving Feature IaC Just Got a Manager – And It’s Not Your Boss  From Musk to Microsoft: Grok 4 Makes the Great Cloud Migration No Harness.. You are not going to make IACM happen Microsoft Drafts a Solution to Container Creation Chaos PowerShell to the People: Azure Simplifies the Great Gateway Migration IP There Yet? Azure’s Scripts Keep Your Address While You Upgrade Follow Up 00:53 Glacier Deprecation Email Standalone Amazon Glacier service (vault-based with separate APIs) will stop accepting new customers as of December 15, 2025.  S3 Glacier storage classes (Instant Retrieval, Flexible Retrieval, Deep Archive) are completely unaffected and continue normally Existing Glacier customers can keep using it forever – no forced migration required.  AWS is essentially consolidating around S3 as the unified storage platform, rather than maintaining two separate archival services. The standalone service will enter maintenance mode, meaning there will be no new features, but the service will remain operational. Migration to S3 Glacier is optional but recommended for better integration, lower costs, and more features. (Justin assures us it is actually slightly cheaper, so there's that.)  General News  02:24

Python in 2025 is different. Threads really are about to run in parallel, installs finish before your coffee cools, and containers are the default. In this episode, we count down 38 things to learn this year: free-threaded CPython, uv for packaging, Docker and Compose, Kubernetes with Tilt, DuckDB and Arrow, PyScript at the edge, plus MCP for sane AI workflows. Expect practical wins and migration paths. No buzzword bingo, just what pays off in real apps. Join me along with Peter Wang and Calvin Hendrix-Parker for a fun, fast-moving conversation. Episode sponsors Seer: AI Debugging, Code TALKPYTHON Agntcy Talk Python Courses Links from the show Calvin Hendryx-Parker: github.com/calvinhp Peter on BSky: @wang.social Free-Threaded Wheels: hugovk.github.io Tilt: tilt.dev The Five Demons of Python Packaging That Fuel Our ...: youtube.com Talos Linux: talos.dev Docker: Accelerated Container Application Development: docker.com Scaf - Six Feet Up: sixfeetup.com BeeWare: beeware.org PyScript: pyscript.net Cursor: The best way to code with AI: cursor.com Cline - AI Coding, Open Source and Uncompromised: cline.bot Watch this episode on YouTube: youtube.com Episode #524 deep-dive: talkpython.fm/524 Episode transcripts: talkpython.fm Theme Song: Developer Rap

What happens when the biggest technology trend is built on economics that don't make any sense when viewed end-to-end? Eventually, some aspect has to change, but which one? SHOW: 968SHOW TRANSCRIPT: The Cloudcast #968 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSORS:[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcast[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search “Interconnected by Equinix”.SHOW NOTES:Tokens are getting more expensiveNvidia Earnings, Moats and China, Nvidia vs. the AI LabsOracle Assures Investors on AI Cloud Margins as It Struggles to Profit From Older Nvidia ChipsWHERE ARE THE BIGGEST AI RISKS?Jensen Huang (NVIDIA CEO) is convinced that the future will be built on always having the most advanced GPUs and Frontier Models. Oracle is telling investors that they will significantly increase profit margins between now and 2028-30, although they have low margins now and they don't make high margins on older chipsThe economics of AI (reasoning models, high#s of AI tokens) is in contrast to the established SaaS business model.Right now everything AI-associated has a high valuation, but these forces are working against each other. Which one is going to give first? FEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

Aspire has been around for almost two years. How do you use it effectively? Carl and Richard talk to Chris Klug about his experience with .NET Aspire. Chris discusses thinking cloud natively, whether you are going to the cloud or not - it's not just a place, but also an architecture. The conversation digs into the role of containers and Kubernetes, deployment strategies, telemetry, security, testing, and more. You can use as much or as little Aspire as you wish!

Aspire has been around for almost two years. How do you use it effectively? Carl and Richard talk to Chris Klug about his experience with .NET Aspire. Chris discusses thinking cloud natively, whether you are going to the cloud or not - it's not just a place, but also an architecture. The conversation digs into the role of containers and Kubernetes, deployment strategies, telemetry, security, testing, and more. You can use as much or as little Aspire as you wish!

Abrimos o episódio colocando a mão na massa: como desenhar uma experiência de desenvolvedores (DevX) que realmente reduz lead time e aumenta throughput de entregas. Com a presença do Luiz Henrique e da Larissa Vitoriano, exploramos o que o time do iFood aprendeu ao escalar plataformas internas, padronizar fluxos de entrega e melhorar a autonomia das squads sem perder governança.Também entramos no universo de Developer Relations (DevREL) — não como “marketing técnico”, mas como ponte entre produto, plataforma e comunidade. Falamos de como priorizar feedback produtivo, quais métricas evitam vaidade e como alinhar backlog de plataforma com as dores reais de quem está codando todos os dias.Pra fechar, discutimos IA “na vida real”: onde modelos (tradicionais e LLMs) já estão gerando valor no ciclo de desenvolvimento, como observabilidade e custo entram na equação e os limites práticos de adoção — desde MLOps, finops de inferência, até segurança e privacidade.Links Importantes:- Larissa Vitoriano - https://www.linkedin.com/in/larissavitoriano/- Luiz Henrique - https://www.linkedin.com/in/luizhenrique1987/- Blog do IFood Tech - https://medium.com/ifood-tech- João Brito - https://www.linkedin.com/in/juniorjbn/- Assista ao FilmeTEArapia - https://youtu.be/M4QFmW_HZh0?si=HIXBDWZJ8yPbpflMHashtags#DevX #DevREL #IA #MLOps #Plataformas #Observabilidade #FinOps #SRE #CulturaDev #Produtividade #Kubernetes #DevOps #DevSecOps #Kubicast #Containers #GetupO Kubicast é uma produção da Getup, empresa especialista em Kubernetes e projetos open source para Kubernetes. Os episódios do podcast estão nas principais plataformas de áudio digital e no YouTube.com/@getupcloud.

Cloud Posse holds LIVE "Office Hours" every Wednesday to answer questions on all things related to AWS, DevOps, Terraform, Kubernetes, CI/CD. Register at https://cloudposse.com/office-hoursSupport the show

Michael Reid went from studying aerospace engineering to becoming CEO at Megaport, a global network-as-a-service platform. How did he get there, and what can we learn from his journey? We walk his career path, including a pivotal role scaling ThousandEyes from 74 million to over 2.4x ARR post-acquisition, and how those experiences shaped his approach to... Read more »

Animesh Koratana - CEO and Founder of PlayerZero discusses how agentic AI is transforming software quality assurance through predictive code simulation, and how teams can shift from reactive debugging to proactive problem prevention in the era of AI-generated code.SHOW: 967SHOW TRANSCRIPT: The Cloudcast #967 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS"SPONSORS:[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search “Interconnected by Equinix”.[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcastSHOW NOTES:PlayerZero websiteTopic 1 - Welcome to the show Animesh. Tell us about your background and your involvement in.Topic 2 - Let's start with the core problem you're solving. What is "predictive software quality" and why is this becoming critical now, especially in the era of AI-generated code?Topic 3 - How does agentic code simulation work, and what makes it different from traditional testing approaches?Topic 4 - This feels like it democratizes software quality beyond just engineering teams. How does PlayerZero work across different roles - developers, QA, product managers, and support teams?Topic 5 - Integration and workflow - how does PlayerZero fit into existing CI/CD pipelines and development workflows? What does the implementation look likeTopic 6 - Let's talk about scale and complexity. How does PlayerZero handle large, distributed systems with microservices, databases, and complex architecturesTopic 7 - If someone out there is interested and wants to get started, what is the best place to started?FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

This week we answer your questions, then dig into OpenShift vs. Kubernetes operators, give some updated options for email hosting, and talk about the dangers of Ai. -- During The Show -- 00:50 Intro AI war stories Content Warning Dangers of AI AIs are sycophants 10:00 News Wire ClamAV 1.5 - gbhackers.com (https://gbhackers.com/clamav-1-5-0-released) Wireshark 4.6 - wireshark.org (https://www.wireshark.org/docs/relnotes/wireshark-4.6.0) KDE Frameworks 6.19 - kde.org (https://kde.org/announcements/frameworks/6/6.19.0) Qt 6.10 - qt.io (https://www.qt.io/blog/qt-6.10-released) 6.16 - kernelnewbies.org (https://kernelnewbies.org/Linux_6.16) NordVPN - techradar.com (https://www.techradar.com/vpn/vpn-services/nordvpn-just-made-its-linux-gui-app-open-source-and-theres-more-on-the-way) T2 25.10 - level1techs.com (https://forum.level1techs.com/t/t2-linux-25-10-never-obsolete-keeps-32-bit-and-big-endian-risc-alive/238216) Ubuntu 25.10 - canonical.com (https://canonical.com/blog/canonical-releases-ubuntu-25-10-questing-quokka) Linux Mint LMDE 7 - phoronix.com (https://www.phoronix.com/news/Linux-Mint-LMDE-7) Winux W10EOL - betanews.com (https://betanews.com/2025/10/13/rip-windows-10-winux-w10eol-is-the-windows-11-clone-that-runs-on-linux-and-makes-your-old-pc-feel-new-again) Nezha Gh0st RAT - thehackernews.com (https://thehackernews.com/2025/10/chinese-hackers-weaponize-open-source.html) Secure Boot Bypass - bleepingcomputer.com (https://www.bleepingcomputer.com/news/security/secure-boot-bypass-risk-on-nearly-200-000-linux-framework-sytems) ksmbd File System Vulnerability - cyberpress.org (https://cyberpress.org/linux-kernel-ksmbd-filesystem-vulnerability) Kali Linux 2025.3 Gemini CLI - linkedin.com (https://www.linkedin.com/pulse/kali-linux-20253-introduces-gemini-cli-automate-qmd4e) React Foundation - techzine.eu (https://www.techzine.eu/news/devops/135353/meta-transfers-react-to-linux-foundation) 11:45 OpenShift vs. Kubernetes Operators - Tiny OpenShift Helm Chart Operators OKD 20:30 Email - JJ_4884 Proton Mail Email aliases Zero inbox Kanban swim lanes Why Steve manages things Fastmail Mail in a Box 46:20 Analog Audio Recordings Saving cassette audio Will you be able to open things in the future? Quality Dual head tape deck -- The Extra Credit Section -- For links to the articles and material referenced in this week's episode check out this week's page from our podcast dashboard! This Episode's Podcast Dashboard (http://podcast.asknoahshow.com/463) Phone Systems for Ask Noah provided by Voxtelesys (http://www.voxtelesys.com/asknoah) Join us in our dedicated chatroom #GeekLab:linuxdelta.com on Matrix (https://element.linuxdelta.com/#/room/#geeklab:linuxdelta.com) -- Stay In Touch -- Find all the resources for this show on the Ask Noah Dashboard Ask Noah Dashboard (http://www.asknoahshow.com) Need more help than a radio show can offer? Altispeed provides commercial IT services and they're excited to offer you a great deal for listening to the Ask Noah Show. Call today and ask about the discount for listeners of the Ask Noah Show! Altispeed Technologies (http://www.altispeed.com/) Contact Noah live [at] asknoahshow.com -- Twitter -- Noah - Kernellinux (https://twitter.com/kernellinux) Ask Noah Show (https://twitter.com/asknoahshow) Altispeed Technologies (https://twitter.com/altispeed)

AWS Morning Brief for the week of October 13th, 2025, with Corey Quinn. Links:Introducing AWS Pricing Capabilities in Amazon Q Developer: Ask Questions, Get Instant Cost InsightsAmazon Location Service Updates for Vietnam's New Administrative BoundariesPart 6: Effective sunset of the legacy data platform in BBVA: the migration methodology Amazon Q Developer and Kiro – Prompt Injection Issues in Kiro and Q IDE plugins Amazon DynamoDB now supports Internet Protocol version 6 (IPv6)AWS ranks #1 in Forecasting and Estimation Use Case in Gartner Critical Capabilities for Cloud Financial Management Tools report Introducing Amazon Quick Suite: your agentic AI-powered workspaceUnlock real-time advertising insights with Amazon Marketing Stream and AWSIMDS impersonationReduce Docker image build time on AWS CodeBuild using Amazon ECR as a remote cacheUnderstanding Amazon Chime SDK costs in AWS Cost ExplorerAWS Introduces self-service invoice correction featureBridging data silos: cross-bounded context querying with Vanguard's Operational Read-only Data Store (ORDS) using Amazon Redshift Beyond Bootstrap: Bootstrapless CDK Deployments at GoDaddyAmazon EKS and Amazon EKS Distro now supports Kubernetes version 1.34Amazon SageMaker notebook instance now supports Amazon Linux 2023Your Ultimate Guide to Cloud Financial Management sessions at re:Invent 2025: Know Before You Go Automatic quota management is now generally available for AWS Service Quotas CVE-2025-11462 AWS ClientVPN macOS Client Local Privilege EscalationCVE-2025-11573 - Denial of Service issue in Amazon.IonDotnet

Three years since the launch of ChatGPT, what does the landscape of Enterprise AI look like today? What's working, what's struggling and what's still unknown?SHOW: 966SHOW TRANSCRIPT: The Cloudcast #966 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSORS:[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcast[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search “Interconnected by Equinix”.SHOW NOTES:HOW ARE ENTERPRISES USING AI IN LATE 2025?5% have a clear vision of how to apply Predictive and Generative AI to a set of use-cases that drive differentiation, productivity improvements and cost reductions. They are keeping the details close to the vest.10% have allocated about 3-5% of their IT budgets to AI, typically from a C-level mandate, and have given it to Microsoft or Google. They have checked “the business is AI-enabled” and signaled to the market that they have fully embraced AI. The market is rewarding these companies at higher multiples. 85% aren't sure what use-cases to focus on, have unrealistic expectations during POCs, and are focused on the “no” areas instead of their own learning curves. Enterprises don't have great visibility into AI costs, and limited baselines of what AI should cost - pay for outcomes, pay for seats, pay for tokens, or pay for GPUs?Enterprises don't have easy access to GPUs outside of via SaaS services - makes it challenging for Private or Sovereign AI demand to be metRight now, there is no simple way for Enterprises to build AI AgentsRight now, there is no simple way for Enterprises to share AI experience / learning curve - AI is a very individualized experienceFEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

How do you perform incident response on a Kubernetes cluster when you're not even on the same network? In this episode, Damien Burks, Senior Security engineer breaks down the immense challenges of container security and why most commercial tools are failing at automated response.While many CNAPPs provide runtime detection, they lack a "sophisticated approach to automating incident response or containment" in complex environments like private EKS . He shares his hands-on experience building a platform that uses a dynamically deployed Lambda function to achieve containment of a compromised EKS node in just 10 minutes, a process that would otherwise take hours of manual work and approvals .This is a guide for any DevSecOps or cloud security professional tasked with securing containerized workloads. The conversation also covers a layered prevention strategy, the evolving role of the cloud security engineer, and career advice for those looking to enter the field.Guest Socials -⁠ ⁠⁠⁠⁠Damien's LinkedinPodcast Twitter - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@CloudSecPod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels:-⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security Podcast- Youtube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠- ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security Newsletter ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠- ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security BootCamp⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you are interested in AI Cybersecurity, you can check out our sister podcast -⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ AI Security PodcastQuestions asked:(00:00) Introduction(02:15) Who is Damien Burks?(03:20) The State of Cloud Incident Response in 2025(05:15) Why There is No Sophisticated, Automated IR for Kubernetes(06:20) A Deep Dive into Kubernetes Incident Response(07:30) The Unique Challenge of a Private EKS Cluster(12:15) A Layered Approach to Prevention in a DevSecOps Culture(17:00) How to Automate Containment in a Private EKS Cluster(17:40) From Hours to 10 Minutes: The Impact of Automation(22:00) The Evolving & Complex Role of the Cloud Security Engineer(25:40) Do We Have Too Much Visibility or Not Enough?(29:00) Career Path: The Value of Learning to Code for DevSecOps(35:00) Damien's Hot Take: "Multi-Cloud Just Means Chaos"(44:20) Career Advice for Traditional IR Professionals Moving to Cloud(47:50) Final Questions: Video Games, Life's Journey, and GumboResources spoke about during the interviewDamien's Website

professorjrod@gmail.comCloud perimeters are fading, identities are multiplying, and threats move faster than patches. We dive into the real mechanics of securing a hybrid world—mapping cloud deployment choices, clarifying shared responsibility across SaaS, PaaS, and IaaS, and showing how Zero Trust reshapes defenses around identity, posture, and context. It's a practical tour from first principles to field-tested patterns, grounded by case studies like Capital One and SolarWinds and anchored in frameworks such as NIST SP 800-207.We start by decoding public, private, hosted private, community, and hybrid models, then connect those choices to risk: multi-tenant isolation, data flows between zones, and the observability challenges of decentralization. From there, we move into reliability engineering—high availability, geo-redundancy, disaster recovery—and the role Kubernetes plays in scaling securely, with a frank look at container pitfalls and how least privilege and image scanning reduce blast radius. Automation takes center stage with infrastructure as code, autoscaling, and software-defined networking, plus how SASE brings secure access to a remote-first workforce without bolting on more complexity.Embedded systems and IoT get a hard look: scarce memory, weak encryption, default credentials, and unpatchable firmware that turns convenience into risk. We offer a simple playbook—segment aggressively, enforce egress controls, rotate credentials, and plan device lifecycles—to stop small sensors from causing big outages. Zero Trust ties it all together: never trust, always verify; microsegment to prevent lateral movement; and evaluate every access request through identity, device health, and real-time signals. Along the way, we weave in Security+ exam-style questions so you can test your knowledge and lock in the fundamentals.If this helped you see your cloud and Zero Trust roadmap more clearly, follow the show, share it with a teammate, and leave a quick review. Got certified recently or put these controls into practice? Email professorjrod@gmail.com—we'd love to shout you out on a future episode.Support the showIf you want to help me with my research please e-mail me.Professorjrod@gmail.comIf you want to join my question/answer zoom class e-mail me at Professorjrod@gmail.comArt By Sarah/DesmondMusic by Joakim KarudLittle chacha ProductionsJuan Rodriguez can be reached atTikTok @ProfessorJrodProfessorJRod@gmail.com@Prof_JRodInstagram ProfessorJRod

Bret is joined by Philip Andrews and Dan Muret of Cast AI to discuss pod live migration between nodes in a Kubernetes cluster.

Cloud Posse holds LIVE "Office Hours" every Wednesday to answer questions on all things related to AWS, DevOps, Terraform, Kubernetes, CI/CD. Register at https://cloudposse.com/office-hoursSupport the show

Alan Lefort, CEO and Co-Founder, StrongestLayer, discusses how LLM-powered reasoning is transforming phishing security from reactive pattern-matching to predictive threat detection, and why traditional rule-based systems can no longer defend against sophisticated AI-generated phishing attacks.SHOW: 965SHOW TRANSCRIPT: The Cloudcast #965 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS"SPONSORS:[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search “Interconnected by Equinix”.[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcastSHOW NOTES:WebsiteStrongestLayer ResearchTopic 1 - Welcome to the show Alan. Tell us about your background and your involvement in Cybersecuity.Topic 2 - Let's start with the core challenge. You've said that "if only AI can defend against weaponized AI" - what specific gap in traditional email security did you identify that led to this philosophy? How are AI-powered phishing attacks fundamentally different from what we've seen before?Topic 3 - How does this attack vector demonstrate the limitations of rule-based security systems, and why can't traditional pattern matching keep up?Topic 4 - Let's break down your TRACE (Threat Reasoning and AI Correlation Engine) architecture. You've described it as "LLM-as-master" rather than "LLM-as-add-on." What does this fundamental architectural difference mean for threat detection, and how does it help?Topic 5 - You discuss "pre-campaign detection," which involves identifying potential phishing campaigns weeks before emails are sent. This sounds like moving from reactive to predictive security. How does your system correlate technical intelligence with business context to achieve this early warning capability?Topic 6 - From an implementation standpoint, how do organizations integrate LLM-powered reasoning into their existing security stacks? What's the deployment model, and how do you handle the challenge of reasoning about business context without exposing sensitive organizational data?Topic 7 - If someone out there is interested and wants to get started, what is the best place to start?FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

Nueva vuelta de tuerca a los ataques contra la Inteligencia Artificial que cada vez es más capaz, tiene más acceso y ya es una herramienta inevitable en nuestras vidas. Notas y referencias en https://www.tierradehackers.com/episodio-138 Puedes apoyar este Podcast en Patreon y obtener beneficios exclusivos. Además, estarás ayudando a que siga publicándose muchos años más. https://www.tierradehackers.com/patreon/ ⭐️ SPONSORS ⭐️ ️‍♂️ Flare Flare es una plataforma de inteligencia de amenazas y monitoreo de la Dark Web que te ayuda a estar un paso por delante de los ciber-delincuentes. Puedes solicitar una prueba gratuita como oyente de Tierra de Hackers aquí:  https://try.flare.io/martin-vigo/ ️ Prowler Audita y mejora tu seguridad en AWS, Azure, GCP, Kubernetes y M365 con visibilidad centralizada. Solicita una prueba gratuita en el siguiente link:  https://prowler.com/?utm_source=tierra_de_hackers ️ YouTube: https://www.youtube.com/tierradehackers  Twitch: https://www.twitch.tv/tierradehackers ➡️ Twitter: https://www.twitter.com/tierradehackers ➡️ LinkedIn: https://www.linkedin.com/company/tierradehackers ➡️ Instagram: https://www.instagram.com/tierradehackers ➡️ Facebook: https://www.facebook.com/tierradehackers ➡️ TikTok: https://www.tiktok.com/@tierradehackers No olvides unirte a nuestra comunidad de Discord:  https://www.tierradehackers.com/discord

In this episode of the Ardan Labs Podcast, Bill Kennedy talks with Mike Elgan, technology editorialist, about his journey to becoming a professional writer. Mike reflects on the evolution of journalism, the digital publishing revolution of the 90s, and the role of communication in shaping society. He also shares insights from his nomadic lifestyle, the realities of freelance writing, the impact of AI on creativity, and the importance of adaptability and passion in navigating a rapidly changing technological landscape.00:00 Introduction 05:54 Growing Up in the 70s and 80s11:32 Education, Passion & Early Work31:32 Politics, Journalism & First Writing Roles45:16 Transition to Technology Journalism54:30 Digital Media Revolution01:03:01 Becoming a Freelance Writer01:05:52 Nomadic Lifestyle & Financial Realities01:24:36 AI's Impact on Work, Writing & Education01:42:56 The Future of Writing & Communication01:50:52 Cyberpunk Reality & Technology's Next Era01:55:11 Finding Passion & Success in LifeConnect with Mike: Linkedin: https://www.linkedin.com/in/mikeelganX: https://x.com/MikeElganMentioned in this Episode:Mike Elgan's Newsletter: https://machinesociety.ai/Gastronomad: https://gastronomad.netWant more from Ardan Labs? You can learn Go, Kubernetes, Docker & more through our video training, live events, or through our blog!Online Courses : https://ardanlabs.com/education/ Live Events : https://www.ardanlabs.com/live-training-events/ Blog : https://www.ardanlabs.com/blog Github : https://github.com/ardanlabs

In episode 23 of Open Source Ready, Brian Douglas and John McBride sit down with Davanum “Dims” Srinivas to discuss the health and future of the Kubernetes community. They explore how corporate changes impact open source contributions, the importance of onboarding programs, and the challenge of sustaining long-term contributors. Dims also shares insights into Kubernetes' evolving role in AI and GPU workloads. The discussion is equal parts career advice, technical insight, and open source storytelling.

As cloud matures, could the hyperscale cloud providers start looking to acquire SaaS providers to build out a bundled application portfolio? Or are the demands of AI investment too much to pursue that strategy? SHOW: 964SHOW TRANSCRIPT: The Cloudcast #964 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSORS:[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcast[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search “Interconnected by Equinix”.SHOW NOTES:Clouded Judgement (Jamin Bell)100 Biggest SaaS CompaniesCOULD THE CLOUD HYPERSCALERS START LOOKING TO ACQUIRE SAAS COMPANIES?Do the hyperscalers start acting like Private Equity to acquire SaaS revenue streams?Do the hyperscalers start moving from primitive providers to bundlers?Do the hyperscalers have to make a choice between AI/CAPEX investment and SaaS investment?Do the hyperscalers figure out a way to spin-off the AI/CAPEX portions of their business for a period of time?FEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

Thank you to the folks at Sustain (https://sustainoss.org/) for providing the hosting account for CHAOSSCast! CHAOSScast – Episode 120 In this episode of CHAOSScast, Harmony Elendu hosts a discussion with Dawn Foster and Bob Killen to discuss their extensive experience in open source and detail the motivations behind the creation of the CHAOSS Practitioner Guides. These guides aim to help practitioners navigate the overwhelming amount of data related to open source projects and understand how to improve project health and sustainability. The discussion covers strategies for communicating the business value of open source efforts to leadership, framing contributions in a way that resonates with organizational priorities, and prioritizing investments in critical projects. Press download now! [00:00:31] Dawn and Bob introduce themselves and their backgrounds. [00:02:24] Dawn explains why CHAOSS created Practitioner Guides: to help navigate the “tsunami of data” from open source metrics. The new guide is different and is focused on demonstrating organizational value. [00:04:36] Harmony asks about the inspiration for the guide. Dawn credits Bob and how the guide was built largely from his talks at KubeCon and the Linux Foundation Member Summit. [00:05:22] Bob talks about macroeconomic pressures where open source is often first cut. The guide helps orgs tell compelling stories to leadership about open source ROI. [00:07:14] Bob shares a case study: maintainers reframed contributions in leadership's language- revenue impact, bug fix turnaround, and resource efficiency and how this secured leadership support. Dawn adds that every organization values different things and provides an example. [00:11:36] Bob introduces the formula: Priority = Criticality x Health. [00:13:36] Dawn emphasizes formula helps orgs prioritize strategically critical but under-resourced projects (example: Kubernetes cluster API at VMware). Bob notes criticality differs by company and even department. [00:16:51] Harmony ask how to report open source value to leadership. Bob explains the importance of framing in leadership's language, not just raw contribution counts. Dawn warns against poor framing and explains about being careful about how you talk to leadership about your open source efforts. Value Adds (Picks) of the week: [00:20:47] Dawn's pick is discovery how easy it was to build a static site with GitHub Pages and Jekyll. [00:21:38] Bob's pick is dosu.dev. [00:22:18] Harmony's pick is exploring AI models for fraud detection and system tracking. Panelists: Harmony Elendu Guests: Dawn Foster Bob Killen Links: CHAOSS (https://chaoss.community/) CHAOSS Project X (https://twitter.com/chaossproj?lang=en) CHAOSScast Podcast (https://podcast.chaoss.community/) CHAOSS YouTube (https://www.youtube.com/@CHAOSStube/videos) podcast@chaoss.community (mailto:podcast@chaoss.community) Harmony Elendu X (https://x.com/ogaharmony) Dawn Foster X (https://twitter.com/geekygirldawn?lang=en) Bob Killen Website (https://mrbobbytabl.es/) CHAOSS Practitioner Guides (https://chaoss.community/about-chaoss-practitioner-guides/) CHAOSS Practitioner Guides (YouTube) (https://www.youtube.com/playlist?list=PL60k37cxI-HSHV4-rEsWMzExw2y2Oq79Z) CHAOSS Data Science Working Group: New Guides, Research, and More (Blog Post by Dawn Foster (https://chaoss.community/chaoss-data-science-working-group-new-guides-research-and-more/) CHAOSS Practitioner Guide: Getting Started with Sunsetting an Open Source Project (https://chaoss.community/practitioner-guide-sunset/) CHAOSS Practitioner Guide: Getting Started with Building Diverse Leadership (https://chaoss.community/practitioner-guide-diverse-leadership/) GitHub Pages documentation (https://docs.github.com/en/pages) Jekyll (https://jekyllrb.com/) Dosu (https://dosu.dev/) Special Guest: Bob Killen.

Network automation has a data problem. Traditional tools may hit limitations when managing complex infrastructure relationships. We explore how OpsMill’s InfraHub uses graph databases and temporal versioning to create what our guest calls “the knowledge graph of infrastructure” – enabling true version control at the database level while maintaining the flexibility to model anything from... Read more »

Today we talk to Antonio Ojea. Antonio is a software engineer at Google and one of the core maintainers of Kubernetes. He is one of the Tech Lead of SIG Networking and Testing and a member of the Steering Committee.   Do you have something cool to share? Some questions? Let us know: - web: kubernetespodcast.com - mail: kubernetespodcast@google.com - twitter: @kubernetespod - bluesky: @kubernetespodcast.com   News of the week GKE Autopilot Mode inside Standard clusters KCD H1 2026 Metal Kubed joined the CNCF as an incubating project Links from the interview Antonio Ojea on LinkedIn Antonio Ojea on X Virtual Networks Kubernetes Networking Kubernetes Dynamic Resource Allocation (DRA) Kubernetes Gateway API Calico Cilium Multi-Service CIDR DRANet

Brian Gracely (@bgracely) and Brandon Whichard (@bwhichard, @SoftwareDefTalk) discuss the top stories in Cloud and AI from September 2025.SHOW: 963SHOW TRANSCRIPT: The Cloudcast #963 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST:  "CLOUDCAST BASICS"SPONSORS:[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search “Interconnected by Equinix”.[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcastSHOW NOTES:Link to August 2025 News and ArticlesFEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

Send us a textThe enterprise software ecosystem continues to evolve rapidly as vendors double down on AI, automation, and data-driven orchestration across business functions. Nintex unveiled new generative AI capabilities to enhance business automation, while Circana introduced its Liquid Supply Chain solution to drive agility and responsiveness in complex networks. CloudBolt extended its optimization capabilities to Kubernetes through the acquisition of StormForge, signaling a stronger focus on cloud efficiency. Kinaxis partnered with Databricks to accelerate AI-powered supply chain orchestration and also announced a collaboration with Infor, further expanding its ecosystem reach. Rootstock's Spring '25 release reimagined the modern ERP experience for manufacturers, and Tempo launched a Strategic Portfolio Management platform to strengthen business alignment. Meanwhile, Tricentis rolled out new testing innovations in its spring update, Velixo secured Series A funding from Elephant to fuel growth, and FloQast introduced auditable AI agents to help finance teams bridge the growing talent gap—illustrating how innovation is reshaping every layer of the enterprise stack.In today's episode, we invited a panel of industry analysts for a live discussion on LinkedIn to analyze current enterprise software stories. We covered many grounds including the direction and roadmaps of each enterprise software vendors. Finally, we analyzed future trends and how they might shape the enterprise software industry.Background Soundtrack: Away From You – Mauro SommFor more information on growth strategies for SMBs using ERP and digital transformation, visit our community at wbs. rocks or elevatiq.com. To ensure that you never miss an episode of the WBS podcast, subscribe on your favorite podcasting platform. 

Between the bold predictions, VC economics, and rising usage-patterns are stories of limited ROIs, undefined use-cases and associated job losses. AI is in an awkward phase of maturity and it's not clear how it will evolve into the next phase. SHOW: 962SHOW TRANSCRIPT: The Cloudcast #962 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSORS:[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcast[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search “Interconnected by Equinix”.SHOW NOTES:THE SPECTRUM OF AIThe early years of the Internet, we tried to replicate physical-based activitiesThe early years of the Internet, the whole industry/world-economy wasn't depending on “the next thing”The early years of AI, “the leaders” are talking about curing cancer and double human longevityCloud had “lift and shift”; AI has “get everyone a GenAI license”Where is the middle? Where is the rational discussion?Massive FundingMassive # of Consumer UsersFrom Ed to Sam, from Dario to Satya, from Jensen to Larry …. Big spectrums of opinionsUnprofitable (except NVIDIA, Broadcom)Near monopoly of GPUs by NVIDIAEvery couple months, the landscape seems to shift (OpenAI partners, Leading models, Questionable Enterprise ROI - lots of “we gave everyone GenAI, but we don't know how to measure it”Companies are laying off workers, or avoiding hiring because of promises of AIUnknown “killer” use-cases beyond chatbots, therapy, developer-assistants, writing, document handlingToday's mantra is “Rub some AI Agents on it”FEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

In this episode, we're joined once again by Christopher Nuland, technical marketing manager at Red Hat, whose globe-trotting schedule rivals the complexity of a Kubernetes deployment. Christopher sits down with hosts Bailey and Frank La Vigne to explore the frontier of artificial intelligence—from simulating reality and continuous learning models to debates around whether we really need humanoid robots to achieve superintelligence, or if a convincingly detailed simulation (think Grand Theft Auto, but for AI) might get us there first.Christopher takes us on a whirlwind tour of Google DeepMind's pioneering alpha projects, the latest buzz around simulating experiences for AI, and the metaphysical rabbit hole of iRobot and simulation theory. We dive into why the next big advancement in AI might not come from making models bigger, but from making them better at simulating the world around them. Along the way, we tackle timely topics in AI governance, security, and the ethics of continuous learning, with plenty of detours through pop culture, finance, and grassroots tech conferences.If you're curious about where the bleeding edge of AI meets science fiction, and how simulation could redefine the race for superintelligence, this episode is for you. Buckle up—because reality might just be the next thing AI learns to hack.Time Stamps00:00 Upcoming European and US Conferences05:38 AI Optimization Plateau08:43 Simulation's Role in Spatial Awareness10:00 Evolutionary Efficiency of Human Brains16:30 "Robotics Laws and Contradictions"17:32 AI, Paperclips, and Robot Ethics22:18 Troubleshooting Insight Experience25:16 Challenges in Training Deep Learning Models27:15 Challenges in Continuous Model Training32:04 AI Gateway for Specialized Requests36:54 Open Source and Rapid Innovation38:10 Industry-Specific AI Breakthroughs43:28 Misrepresented R&D Success Rates44:51 POC Challenges: Meaningful Versus Superficial47:59 "Crypto's Bumpy Crash"52:59 AI: Beyond Models to Simulation

Shannon Kularathna is a technical writer working on the GKE docs. He contributes regularly to the upstream Kubernetes documentation. Do you have something cool to share? Some questions? Let us know: - web: kubernetespodcast.com - mail: kubernetespodcast@google.com - twitter: @kubernetespod - bluesky: @kubernetespodcast.com News of the week Reddit Post KubeCon NA KubeCon NA Colo events Jeager v2 Kubernetes 1.34 on GKE Links from the interview Shannon Kularathna Kubernetes SIG Docs Kubernetes Documentation Working in Public by Nadia Eghbal Kubernetes Code of Conduct SIG Contributor Experience Kubernetes Blog Join the Kubernetes Slack Kubernetes New Contributor Orientation Events SIG Docs Meetings Kubernetes/website GitHub Repository Good First Issues for kubernetes/website Help Wanted Issues for kubernetes/website

Stephan Donze (@sdonze CEO @AODocs), discusses the enterprise unstructured data crisis, where 80% of business data remains untapped due to legacy system limitations and the challenges of AI-powered document management at scale. We explore how AI agents can transform document workflows while maintaining trust and compliance, the architectural principles needed for cloud-native document management, and why traditional search fails in the age of generative AI.SHOW: 961SHOW TRANSCRIPT: The Cloudcast #961 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"SPONSORS:[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search “Interconnected by Equinix”.[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcastSHOW NOTES:AODocs websiteTopic 1 - Welcome to the show, Stephan. Give everyone a quick introduction.Topic 2 - We hear all the time about unstructured data and the continual growth in the Enterprise. I've heard numbers of upwards of 80% of all corporate data is unstructured. I've worked at several companies and supported a significant number of customers over the years, and I can count on one hand how many say they have “control” of their data. How did this come to be, and is the problem as big as I think?Topic 3 - The second part of this, and this might be an even bigger problem, is how much of the data is used? Too many needles in the haystack, if you will. How does Agentic AI address this challenge, and where do traditional document management systems fail?Topic 4 - We've talked about data quality in the past on the show, and I'm wondering if this also becomes an issue. Let's say you have a bunch of draft documents leading up to the final version. Is it possible that improper version control and/or we're back to a data quality problem of finding the “final version” needle in the haystack? How does AI prevent this and also not hallucinate an answer that may not be true?Topic 5 - Some have called AI's ability to absorb and report on data just fancy search. What are your thoughts on this? Where and how does traditional search differ from Agentic AI management?Topic 6 - I also see this as being so much more than indexing and reporting on documents. There is also the concept of automation and workflows that agentic AI can improve upon. What use cases are your customers implementing?Topic 7 - Where do you think the industry will go in the next 2-3 years?FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

Send us a textThe enterprise software landscape is undergoing rapid transformation as vendors double down on AI, automation, and data intelligence. ActiveCampaign's acquisition of Hilos strengthens its conversational marketing stack by expanding WhatsApp capabilities, while HG Insights is redefining data intelligence to refine go-to-market execution. HubSpot's planned acquisition of Dashworks signals a deeper integration of AI knowledge management, and Sitecore's launch of the Martech industry's first AI Innovation Lab underscores the growing urgency for marketers to accelerate their AI journeys. StackAdapt continues to advance transparency in connected TV and cross-screen analytics, whereas Accenture and Pipefy are joining forces on over 450 AI agents to scale process automation. Camunda's introduction of agentic orchestration brings a new layer of autonomy to enterprise workflows, and Nintex's generative AI updates further enhance intelligent automation. Meanwhile, Circana's Liquid Supply Chain solution and CloudBolt's acquisition of StormForge to optimize Kubernetes environments highlight a broader trend—AI and automation are now converging across marketing, operations, and infrastructure to drive unified, data-driven execution.In today's episode, we invited a panel of industry analysts for a live discussion on LinkedIn to analyze current enterprise software stories. We covered many grounds including the direction and roadmaps of each enterprise software vendors. Finally, we analyzed future trends and how they might shape the enterprise software industry.Background Soundtrack: Away From You – Mauro SommFor more information on growth strategies for SMBs using ERP and digital transformation, visit our community at wbs. rocks or elevatiq.com. To ensure that you never miss an episode of the WBS podcast, subscribe on your favorite podcasting platform.