KubeFM

Understanding what's actually happening inside a complex Kubernetes system is one of the biggest challenges architects face.

Oleksii Kolodiazhnyi, Senior Architect at Mirantis, shares his structured approach to Kubernetes workload assessment. He breaks down how to move from high-level business understanding to detailed technical analysis, using visualization tools and systematic documentation.

You will learn:

• A top-down assessment methodology that starts with business cases and use cases before diving into technical details

• Practical visualization techniques using tools like KubeView, K9s, and Helm dashboard to quickly understand resource interactions

• Systematic resource discovery approaches for different scenarios, from well-documented Helm-based deployments to legacy applications with hard-coded configurations buried in containers

• Documentation strategies for creating consumable artifacts that serve different audiences, from business stakeholders to new team members joining the project

Sponsor

This episode is sponsored by StormForge by CloudBolt — automatically rightsize your Kubernetes workloads with ML-powered optimization

More info

• Find all the links and info for this episode here: https://ku.bz/zDThxGQsP

• Interested in sponsoring an episode? Learn more.

Andrew Jeffree from SafetyCulture walks through their complete migration of 250+ microservices from a fragile Helm-based setup to GitOps with ArgoCD, all without any downtime. He explains how they replaced YAML configurations with a domain-specific language built in CUE, creating a better developer experience while adding stronger validation and reducing operational pain points.

You will learn:

• Zero-downtime migration techniques using temporary deployments with prune-last sync options to ensure healthy services before removing legacy ones

• How CUE lang improves on YAML by providing schema validation, early error detection, and a cleaner interface for developers

• Human-centric platform engineering approaches that prioritize developer experience and reduce on-call burden through empathy-driven design decisions

Sponsor

This episode is brought to you by Testkube—where teams run millions of performance tests in real Kubernetes infrastructure. From air-gapped environments to massive scale deployments, orchestrate every testing tool in one platform. Check it out at testkube.io

More info

• Find all the links and info for this episode here: https://ku.bz/Xvyp1_Qcv

• Interested in sponsoring an episode? Learn more.

Mai Nishitani, Director of Enterprise Architecture at NTT Data and AWS Community Builder, demonstrates how Model Context Protocol (MCP) enables Claude to directly interact with Kubernetes clusters through natural language commands.

You will learn:

• How MCP servers work and why they're significant for standardizing AI integration with DevOps tools, moving beyond custom integrations to a universal protocol

• The practical capabilities and critical limitations of AI in Kubernetes operations

• Why fundamental troubleshooting skills matter more than ever as AI abstractions can fail in unexpected ways, especially during crisis scenarios and complex system failures

• How DevOps roles are evolving from manual administration toward strategic architecture and orchestration

Sponsor

This episode is brought to you by Testkube—where teams run millions of performance tests in real Kubernetes infrastructure. From air-gapped environments to massive scale deployments, orchestrate every testing tool in one platform. Check it out at testkube.io

More info

• Find all the links and info for this episode here: https://ku.bz/3hWvQjXxp

• Interested in sponsoring an episode? Learn more.

In this closing episode, Bryan Ross (Field CTO at GitLab), Jane Yan (Principal Program Manager at Microsoft), Sean O’Meara (CTO at Mirantis) and William Rizzo (Strategy Lead, CTO Office at Mirantis) discuss how GitOps evolves in practice.

• How enterprises are embedding Flux into developer platforms and managed cloud services.

• Why bridging CI/CD and infrastructure remains a core challenge—and how GitOps addresses it.

• What leading platform teams (GitLab, Microsoft, Mirantis) see as the next frontier for GitOps.

Sponsor

Join the Flux maintainers and community at FluxCon, November 11th in Atlanta—register here

More info

• Find all the links and info for this episode here: https://ku.bz/tVqKwNYQH

• Interested in sponsoring an episode? Learn more.

Niels Claeys shares how his team at Dataminded built Conveyor, a data platform processing up to 1.5 million core hours monthly. He explains the specific optimizations they discovered through production experience, from scheduler changes that immediately reduce costs by 10-15% to achieving 97% spot instance usage without reliability issues.

You will learn:

• Why the default Kubernetes scheduler wastes money on batch workloads and how switching from "least allocated" to "most allocated" scheduling enables faster scale-down and better resource utilization

• How to achieve 97% spot instance adoption through strategic instance type diversification, region selection, and Spark-specific techniques

• Node pool design principles that balance Kubernetes overhead with workload efficiency

• Platform-specific gotchas like AWS cross-AZ data transfer costs that can spike bills unexpectedly

Sponsor

This episode is brought to you by Testkube—where teams run millions of performance tests in real Kubernetes infrastructure. From air-gapped environments to massive scale deployments, orchestrate every testing tool in one platform. Check it out at testkube.io

More info

• Find all the links and info for this episode here: https://ku.bz/hGRfkzDJW

• Interested in sponsoring an episode? Learn more.

In this episode, Philippe Ensarguet, VP of Software Engineering at Orange, and Arnab Chatterjee, Global Head of Container & AI Platforms at Nomura, share how large enterprises are adopting Flux to drive reliable, compliant, and scalable platforms.

• How Orange uses Flux to manage bare-metal Kubernetes through its SYLVR project.

• Why FSIs rely on GitOps to balance agility with governance.

• How Flux helps enterprises achieve resilience, compliance, and repeatability at scale.

Sponsor

Join the Flux maintainers and community at FluxCon, November 11th in Atlanta—register here

More info

• Find all the links and info for this episode here: https://ku.bz/tWcHlJm7M

• Interested in sponsoring an episode? Learn more.

Vitalii Horbachov explains how Agoda built macOS VZ Kubelet, a custom solution that registers macOS hosts as Kubernetes nodes and spins up macOS VMs using Apple's native virtualization framework. He details their journey from managing 200 Mac minis with bash scripts to a Kubernetes-native approach that handles 20,000 iOS tests at scale.

You will learn:

• How to build hybrid runtime pods that combine macOS VMs with Docker sidecar containers for complex CI/CD workflows

• Custom OCI image format implementation for managing 55-60GB macOS VM images with layered copy-on-write disks and digest validation

• Networking and security challenges including Apple entitlements, direct NIC access, and implementing kubectl exec over SSH

• Real-world adoption considerations including MDM-based host lifecycle management and the build vs. buy decision for Apple infrastructure at scale

Sponsor

This episode is brought to you by Testkube—where teams run millions of performance tests in real Kubernetes infrastructure. From air-gapped environments to massive scale deployments, orchestrate every testing tool in one platform. Check it out at testkube.io

More info

• Find all the links and info for this episode here: https://ku.bz/q_JS76SvM

• Interested in sponsoring an episode? Learn more.

In this episode, Michael Bridgen (the engineer who wrote Flux's first lines) and Stefan Prodan (the maintainer who led the V2 rewrite) share how Flux grew from a fragile hack-day script into a production-grade GitOps toolkit.

• How early Flux addressed the risks of manual, unsafe Kubernetes upgrades

• Why the complete V2 rewrite was critical for stability, scalability, and adoption

• What the maintainers learned about building a sustainable, community-driven open-source project

Sponsor

Join the Flux maintainers and community at FluxCon, November 11th in Atlanta—register here

More info

• Find all the links and info for this episode here: https://ku.bz/bgkgn227-

• Interested in sponsoring an episode? Learn more.

Ben Poland walks through Faire's complete CI transformation, from a single Jenkins instance struggling with thousands of lines of Groovy to a distributed Buildkite system running across multiple Kubernetes clusters.

He details the technical challenges of running CI workloads at scale, including API rate limiting, etcd pressure points, and the trade-offs of splitting monolithic pipelines into service-scoped ones.

You will learn:

• How to architect CI systems that match team ownership and eliminate shared failure points across services

• Kubernetes scaling patterns for CI workloads, including multi-cluster strategies, predictive node provisioning, and handling API throttling

• Performance optimization techniques like Git mirroring, node-level caching, and spot instance management for variable CI demands

• Migration strategies and lessons learned from moving away from monolithic CI, including proof-of-concept approaches and avoiding the sunk cost fallacy

Sponsor

This episode is brought to you by Testkube—where teams run millions of performance tests in real Kubernetes infrastructure. From air-gapped environments to massive scale deployments, orchestrate every testing tool in one platform. Check it out at testkube.io

More info

• Find all the links and info for this episode here: https://ku.bz/klBmzMY5-

• Interested in sponsoring an episode? Learn more.

Danyl Novhorodov, a veteran .NET engineer and architect at Eneco, presents his controversial thesis that 90% of teams don't actually need Kubernetes. He walks through practical decision-making frameworks, explores powerful alternatives like BEAM runtimes and Actor models, and explains why starting with modular monoliths often beats premature microservices adoption.

You will learn:

• The COST decision framework - How to evaluate infrastructure choices based on Complexity, Ownership, Skills, and Time rather than industry hype

• Platform engineering vs. managed services - How to honestly assess whether your team can compete with AWS, Azure, and Google's managed container platforms

• Evolutionary architecture approach - Why modular monoliths with clear boundaries often provide better foundations than distributed systems from day one

Sponsor

This episode is brought to you by Testkube—where teams run millions of performance tests in real Kubernetes infrastructure. From air-gapped environments to massive scale deployments, orchestrate every testing tool in one platform. Check it out at testkube.io

More info

• Find all the links and info for this episode here: https://ku.bz/BYhFw8RwW

• Interested in sponsoring an episode? Learn more.