Managing microservices in Kubernetes at scale often leads to inconsistent deployments and maintenance overhead. This episode explores a practical solution that standardizes service deployments while maintaining team autonomy.Calin Florescu discusses how a unified Helm chart approach can help platform teams support multiple development teams efficiently while maintaining consistent standards across services.You will learn:Why inconsistent Helm chart configurations across teams create maintenance challenges and slow down deploymentsHow to implement a unified Helm chart that balances standardization with flexibility through override functionsHow to maintain quality through automated documentation and testing with tools like Helm Docs and Helm unittestSponsorThis episode is sponsored by Learnk8s — get started on your Kubernetes journey through comprehensive online, in-person or remote training.More infoFind all the links and info for this episode here: https://ku.bz/mcPtH5395Interested in sponsoring an episode? Learn more.

Learn how ByteDance manages computing resources at scale with custom Kubernetes scheduling solutions that handle millions of pods across thousands of nodes.Yue Yin, Software Engineer at ByteDance, discusses their open-source Gödel scheduler and Katalyst resource management system. She explains how these tools address the challenges of managing online and offline workloads in large-scale Kubernetes deployments.You will learn:How Gödel's distributed architecture with dispatcher, scheduler, and binder components enables the scheduling of 5,000 pods per secondWhy NUMA-aware scheduling and two-layer architecture are crucial for handling complex workloads at scaleHow Katalyst provides node-level resource insights to enable efficient workload co-location and improve CPU utilizationSponsorThis episode is sponsored by Learnk8s — get started on your Kubernetes journey through comprehensive online, in-person or remote training.More infoFind all the links and info for this episode here: https://ku.bz/lMpNng_33Interested in sponsoring an episode? Learn more.

Platform Engineer Artem Lajko breaks down observability into three distinct layers and explains how tools like Prometheus, Grafana, and Falco serve different purposes. He also shares practical insights on implementing the right level of monitoring based on team requirements and capabilities.You will learn:How to implement the three-layer model (external, internal, and OS-level) and why each layer serves different stakeholdersHow to choose and scale observability tools using a label-based approach (low, medium, high)How to manage observability costs by collecting only relevant metrics and logsSponsorThis episode is sponsored by Learnk8s — get started on your Kubernetes journey through comprehensive online, in-person or remote training.More infoFind all the links and info for this episode here: https://ku.bz/9sGxhmm8sInterested in sponsoring an episode? Learn more.

In this episode, William Morgan, CEO of Buoyant, explores the complex trade-offs between cost optimization and reliability in Kubernetes networking. The discussion focuses on Topology-aware routing and why its implementation might not be the silver bullet for managing cross-zone traffic costs.William shares practical insights from real-world implementations and explains why understanding these trade-offs is crucial for platform teams managing multi-zone Kubernetes clusters.You will learn:How Topology-aware routing attempts to reduce cross-zone traffic costs but can compromise reliability by limiting inter-zone communicationWhy Layer 7 load balancing offers better traffic management through protocol awareness compared to topology-aware routing's Layer 4 approachHow HAZL (High Availability Zonal Load Balancing) provides a more nuanced solution by balancing cost savings with reliability guarantees through intelligent traffic routingSponsorThis episode is sponsored by Learnk8s — get started on your Kubernetes journey through comprehensive online, in-person or remote training.More infoFind all the links and info for this episode here: https://ku.bz/CBwn51pl-Interested in sponsoring an episode? Learn more.

Are you running PostgreSQL on Kubernetes and need to choose the right operator? In this episode, David Pech, Staff Cloud Ops Engineer, shares his experience implementing database platforms on Kubernetes and guides teams through operator selection and platform requirements.You will learn:The core requirements for a PostgreSQL platform on Kubernetes, including autopilot capabilities, security practices, and observabilityHow to evaluate PostgreSQL operators based on their architecture — from single-instance deployments to cloud-native implementationsWhat teams should consider before building their own database-as-a-service and common pitfalls to avoidThe distinction between being production-ready (running single instances) versus platform-ready (operating at scale with proper tooling)SponsorThis episode is sponsored by Learnk8s — get started on your Kubernetes journey through comprehensive online, in-person or remote training.More infoFind all the links and info for this episode here: https://ku.bz/rGMF2ktdbInterested in sponsoring an episode? Learn more.

Stefan Roman shares his experience building Labs4Grabs, a platform that gives students root access to Kubernetes clusters. He discusses the journey from evaluating simple namespace-based isolation to implementing full VM-based isolation with KubeVirt.You will learn:Why namespace isolation isn't sufficient for untrusted users and the limitations of tools like vCluster when running privileged workloads.How to use KubeVirt to achieve complete workload isolation and the trade-offs.Practical approaches to implementing network security with NetworkPolicies and managing resource allocation across multiple student environments.Follow Stefan's journey from simple to complex isolation strategies, focusing on the technical decisions and trade-offs he encountered.SponsorThis episode is sponsored by Kusari — gain complete visibility into your software components and secure your supply chain through comprehensive tracking and analysis.More infoFind all the links and info for this episode here: https://ku.bz/Xz-TrmX2FInterested in sponsoring an episode? Learn more.

Michael Levan explains how specialized teams and smart abstractions can lead to better outcomes. Drawing from cognitive science and his experience in platform engineering, Michael presents practical strategies for building effective engineering organizations.You will learn:Why specialized teams (or "silos") can improve productivity and why the real enemy is ego, not specialization.How to use Internal Developer Platforms (IDPs) and abstractions to empower teams without requiring everyone to be a Kubernetes expert.How to balance specialization and collaboration using platform engineering practices and smart abstractionsPractical strategies for managing cognitive load in engineering teams and why not everyone needs to know YAML.SponsorThis episode is brought to you by Testkube — scale all of your tests with Kubernetes, integrate seamlessly with CI/CD and centralize test troubleshooting and reporting.More infoFind all the links and info for this episode here: https://ku.bz/qlZPfM-zrInterested in sponsoring an episode? Learn more.

Xe Iaso, a home lab expert, shares their adventure in creating a seamless "compute as a faucet" setup. They delve into selecting operating systems like Rocky and Talos Linux, emphasizing the rise of minimal, immutable options. Learn about their innovative three-tier storage strategy combining Longhorn, NFS, and S3 for managing diverse workloads. Xe also discusses securing the home lab with advanced techniques such as certificate-based authentication and WireGuard VPN, while emphasizing the importance of community support and sharing experiences.

Paul Butler, co-founder of Jamsocket and expert in cloud infrastructure, shares his valuable insights on Kubernetes. He highlights the essential reasons to use Kubernetes effectively, including managing multiple services and defining infrastructure as code. Butler cautions against the complexities of features like CRDs and StatefulSets, emphasizing a simpler approach with stable resources like Deployments and Services. He also discusses when to opt for alternatives like Google Cloud Run, offering listeners practical advice on navigating the Kubernetes landscape.

Gordon Myers, a seasoned software engineer with over 15 years of experience and a focus on InsurTech and Kubernetes, dives into the world of webhooks. He shares insights on the Kubernetes API lifecycle, explaining how webhooks can modify resources before they’re stored. Listeners will learn about Validating vs. Mutating webhooks, best practices for testing to prevent deployment issues, and real-world implementations involving HashiCorp Vault. Gordon also touches on his transition to cloud-native technologies and the importance of mentorship and community.