KubeFM

KubeFM

Discover all the great things happening in the world of Kubernetes, learn (controversial) opinions from the experts and explore the successes (and failures) of running Kubernetes at scale.

  1. قبل ٥ أيام

    Building a Carbon and Price-Aware Kubernetes Scheduler, with Dave Masselink

    Data centers consume over 4% of global electricity and this number is projected to triple in the next few years due to AI workloads. Dave Masselink, founder of Compute Gardener, discusses how he built a Kubernetes scheduler that makes scheduling decisions based on real-time carbon intensity data from power grids. You will learn: How carbon-aware scheduling works - Using real-time grid data to shift workloads to periods when electricity generation has lower carbon intensity, without changing energy consumption Technical implementation details - Building custom Kubernetes schedulers using the scheduler plugin framework, including pre-filter and filter stages for carbon and time-of-use pricing optimization Energy measurement strategies - Approaches for tracking power consumption across CPUs, memory, and GPUs Sponsor This episode is brought to you by Testkube—the ultimate Continuous Testing Platform for Cloud Native applications. Scale fast, test continuously, and ship confidently. Check it out at testkube.io More info Find all the links and info for this episode here: https://ku.bz/zk2xM1lfW Interested in sponsoring an episode? Learn more.

    ٤١ من الدقائق

  2. ١٢ أغسطس

    How Policies Saved us a Thousand Headaches, with Alessandro Pomponio

    Alessandro Pomponio from IBM Research explains how his team transformed their chaotic bare-metal clusters into a well-governed, self-service platform for AI and scientific workloads. He walks through their journey from manual cluster interventions to a fully automated GitOps-first architecture using ArgoCD, Kyverno, and Kueue to handle everything from policy enforcement to GPU scheduling. You will learn: How to implement GitOps workflows that reduce administrative burden while maintaining governance and visibility across multi-tenant research environments Practical policy enforcement strategies using Kyverno to prevent GPU monopolization, block interactive pod usage, and automatically inject scheduling constraints Fair resource sharing techniques with Kueue to manage scarce GPU resources across different hardware types while supporting both specific and flexible allocation requests Organizational change management approaches for gaining stakeholder buy-in, upskilling admin teams, and communicating policy changes to research users Sponsor This episode is brought to you by Testkube—the ultimate Continuous Testing Platform for Cloud Native applications. Scale fast, test continuously, and ship confidently. Check it out at testkube.io More info Find all the links and info for this episode here: https://ku.bz/5sK7BFZ-8 Interested in sponsoring an episode? Learn more.

  3. ٢٤ يونيو

    Dear friend, you have built a Kubernetes, with Mac Chaffee

    Mac Chaffee, a platform engineer and security champion, examines why developers often underestimate the complexity of running modern applications and how overconfidence leads to expensive technical mistakes. You will learn: Why teams reject Kubernetes then rebuild it piece by piece - understanding the psychological factors, like overconfidence, that drive initial rejection of complex but proven tools How to identify the tipping point when DIY solutions become more complex than adopting established orchestration tools, especially around scaling and high availability challenges The right approach to abstracting Kubernetes complexity - why hiding the Kubernetes API often backfires and how to build effective guardrails instead of reinventing interfaces Why mentorship gaps lead to poor technical decisions - how the lack of proper apprenticeship programs in tech results in teams making expensive mistakes when building infrastructure Sponsor This episode is sponsored by LearnKube — get started on your Kubernetes journey through comprehensive online, in-person or remote training. More info Find all the links and info for this episode here: https://ku.bz/9nFPmG85f Interested in sponsoring an episode? Learn more.

  4. ١٧ يونيو

    Beyond Kubernetes: Serverless Execution Models for Variable Workloads, with Marc Campora

    Marc Campora, a systems consultant with experience in high-throughput platforms, shares his analysis of a real customer deployment with 500+ microservices. He breaks down the cost implications, technical constraints, and operational trade-offs between Kubernetes containers and AWS Lambda functions based on actual production data and migration assessments. You will learn: Cost analysis frameworks for comparing Lambda vs Kubernetes across different traffic patterns, including specific examples of 3x savings potential and the 80/20 rule for service utilization Migration complexity factors when moving existing microservices to Lambda, including cold start issues, runtime model changes, and why it's often a complete rewrite rather than a simple port Decision criteria for choosing between platforms based on traffic consistency, computational requirements, and operational overhead tolerance Sponsor This episode is sponsored by Learnk8s — get started on your Kubernetes journey through comprehensive online, in-person or remote training. More info Find all the links and info for this episode here: https://ku.bz/5gMTkzLhV Interested in sponsoring an episode? Learn more.

  5. ١٠ يونيو

    Shared Nothing, Shared Everything: The Truth About Kubernetes Multi-Tenancy, with Molly Sheets

    Molly Sheets, Director of Engineering for Kubernetes at Zynga, discusses her team's approach to platform engineering. She explains why their initial one-cluster-per-team model became unsustainable and how they're transitioning to multi-tenant architectures. You will learn: Why slowing down deployments actually increases risk and how manual approval gates can make systems less resilient than faster, smaller deployments The operational reality of cluster proliferation - why managing hundreds of clusters becomes unsustainable and when multi-tenancy becomes necessary Practical multi-tenancy implementation strategies including resource quotas, priority classes, and namespace organization patterns that work in production Better metrics for multi-tenant environments - why control plane uptime doesn't matter and how to build meaningful SLOs for distributed platform health Sponsor This episode is sponsored by Learnk8s — get started on your Kubernetes journey through comprehensive online, in-person or remote training. More info Find all the links and info for this episode here: https://ku.bz/Rmpl8948_ Interested in sponsoring an episode? Learn more.

  6. ٣ يونيو

    My pipelines from GitLab Commit to ArgoCD got beaten by FTP, with David Pech

    A sophisticated GitLab CI/CD pipeline integrated with Argo CD was ultimately rejected in favour of simple FTP deployment, offering crucial insights into the real barriers facing cloud-native adoption in traditional organisations. David Pech, Staff Cloud Ops Engineer at Wrike and holder of all CNCF certifications, shares his experience supporting a PHP team after a company merger. He details how he built a complete cloud-native platform with Kubernetes, Helm charts, and GitOps workflows, only to see it fail against cultural and organizational resistance despite its technical superiority. You will learn: The hidden costs of sophisticated tooling - How GitOps pipelines with multiple moving parts can create trust issues when developers lose local control and must rely on remote processes they don't understand Cultural factors that trump technical benefits - Why customer expectations, existing Windows-based infrastructure, and team readiness matter more than the elegance of your Kubernetes solution Practical strategies for incremental adoption - The importance of starting small, building in-house operational expertise, and ensuring management advocacy at all levels before attempting cloud-native transformations Sponsor This episode is sponsored by Learnk8s — get started on your Kubernetes journey through comprehensive online, in-person or remote training. More info Find all the links and info for this episode here: https://ku.bz/_MWX5m6G_ Interested in sponsoring an episode? Learn more.

  7. ٢٧ مايو

    Performance testing Kubernetes workloads, with Stephan Schwarz

    If you're tasked with performance testing Kubernetes workloads without much guidance, this episode offers clear, experience-based strategies that go beyond theory. Stephan Schwarz, a DevOps engineer at iits-consulting, walks through his systematic approach to performance testing Kubernetes applications. He covers everything from defining what performance actually means, to the practical methodology of breaking individual pods to understand their limits, and navigating the complexities of Kubernetes-specific components that affect test results. You will learn: How to establish baseline performance metrics by systematically testing individual pods, disabling autoscaling features, and documenting each incremental change to understand real application limits Why shared Kubernetes components skew results and how ingress controllers, service meshes, and monitoring stacks create testing challenges that require careful consideration of the entire request chain Practical approaches to HPA configuration, including how to account for scaling latency, the time delays inherent in Kubernetes scaling operations, and planning for spare capacity based on your SLA requirements The role of observability tools like OpenTelemetry in production environments where load testing isn't feasible, and how distributed tracing helps isolate performance bottlenecks across interdependent services Sponsor This episode is sponsored by Learnk8s — get started on your Kubernetes journey through comprehensive online, in-person or remote training. More info Find all the links and info for this episode here: https://ku.bz/yY-FnmGfH Interested in sponsoring an episode? Learn more.

  8. ٢٠ مايو

    Managing 100s of Kubernetes Clusters using Cluster API, with Zain Malik

    Discover how to manage Kubernetes at scale with declarative infrastructure and automation principles. Zain Malik shares his experience managing multi-tenant Kubernetes clusters with up to 30,000 pods across clusters capped at 950 nodes. He explains how his team transitioned from Terraform to Cluster API for declarative cluster lifecycle management, contributing upstream to improve AKS support while implementing GitOps workflows. You will learn: How to address challenges in large-scale Kubernetes operations, including node pool management inconsistencies and lengthy provisioning times Why Cluster API provides a powerful foundation for multi-cloud cluster management, and how to extend it with custom operators for production-specific needs How implementing GitOps principles eliminates manual intervention in critical operations like cluster upgrades Strategies for handling production incidents and bugs when adopting emerging technologies like Cluster API Sponsor This episode is sponsored by Learnk8s — get started on your Kubernetes journey through comprehensive online, in-person or remote training. More info Find all the links and info for this episode here: https://ku.bz/5PLksqVlk Interested in sponsoring an episode? Learn more.

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حول

Discover all the great things happening in the world of Kubernetes, learn (controversial) opinions from the experts and explore the successes (and failures) of running Kubernetes at scale.

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