Learn Kubernetes Weekly issue 154 · 22 Oct 2025

Troubleshooting Packet Drops, Breaking EKS Autoscaler on AL2023, Multi-Cluster Resources, kube-proxy to eBPF, Diagnosing API Server Logs

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Articles

  1. Troubleshooting packet drops in a Kubernetes-based observability platform

    medium.com

    In this case study, you will learn how the SRE team at Kapital Bank meticulously analyzed network kernel issues on a Kubernetes-based Memcached platform, uncovering and resolving intermittent performance problems through kernel parameter tuning.

  2. We Broke Our EKS Cluster Autoscaler During Amazon AL2023 Migration (and Fixed It)— Here’s What We Learned

    dilshanw.medium.com

    This case study describes how the author’s EKS cluster autoscaler broke after migrating to Amazon’s AL2023 image and how they resolved it by switching to IRSA (IAM Roles for Service Accounts) and adjusting permissions.

  3. Managing Kubernetes Resources Across Multiple Clusters

    medium.com

    This case study shows how to implement a multi-cluster reconciler to manage Kubernetes resources across sharded clusters for fault tolerance.

    It covers sharding stateless workloads across 3 clusters to limit the impact of infrastructure failures.

  4. From kube-proxy to eBPF (Cilium)

    medium.com

    This article compares kube-proxy’s user-space model with Cilium’s eBPF-powered kernel routing, demonstrating how Cilium offers lower latency and better scalability.

  5. Kubernetes Logs Unavailable Behind a Proxy: Diagnosing API Server Communication Issues

    medium.com

    This article shows why kubectl logs might fail when your cluster sits behind an HTTP proxy and you forget to set NO_PROXY for internal addresses.

  6. Production-Grade Pain: Lessons From Scaling Kubernetes on EKS

    engineering.probo.in

    This article walks through real challenges the team faced while scaling EKS — from autoscaling, ingress, DNS tuning to graceful shutdowns — and shares how they tackled each layer.

Articles worth checking out:

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Tutorials

  1. Building DC-DR Kubernetes Clusters with Karmada for Reliability and Seamless Failover

    medium.com

    This tutorial shows how to set up geographically redundant Kubernetes clusters (DC + DR) using Karmada to achieve high availability, failover, and consistent deployment across clusters.

  2. Exposing Kubernetes Services Without Cloud LoadBalancers: A Practical Guide

    medium.com

    This tutorial explains how to expose Kubernetes services without relying on cloud LoadBalancer support, using MetalLB + NGINX Ingress to provide stable IPs and path-based routing on bare-metal/air-gapped clusters.

The Double-Edged Sword of AI-Assisted Kubernetes Operations

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
The Double-Edged Sword of AI-Assisted Kubernetes Operations

Kubernetes jobs

    • Software Engineer with Upgrade

    • Salary: CA$150K to CA$250K a year

    • Location: remote from Canada

    • Tech stack: Kubernetes, Go, Java

    • Platform Engineer with Camunda

    • Salary: £149.8K to £247K a year

    • Location: remote from the United States of America, Brazil, Canada

    • Tech stack: Kubernetes, AWS, Azure, GCP, Docker, Go, Shell, Python, Terraform, Cloudformation

    • Platform Engineer with Speechify

    • Salary: $140K to $200K a year

    • Location: based in the office in Corona, CA, USA

    • Tech stack: Kubernetes, AWS, Azure, GCP, Docker, Javascript

    • Site Reliability Engineer with Lambda

    • Salary: €146K to €310K a year

    • Location: remote from Germany, the Netherlands, the United Kingdom

    • Tech stack: Kubernetes, AWS, GCP, On-premise, Bare-metal, Data center, Helm, ArgoCD, Go, Python

    • Platform Engineer with Speechify

    • Salary: $140K to $200K a year

    • Location: based in the office in Torrance, CA, USA

    • Tech stack: Kubernetes, AWS, Azure, GCP, Docker, Javascript

Discover more Kubernetes jobs on Kube Careers →

Code & tools

  1. emberstack/kubernetes-reflector

    github.com/emberstack

    Reflector is a Kubernetes addon designed to monitor changes to resources (secrets and configmaps) and reflect changes to mirror resources in the same or other namespaces.

  2. xdatabase-proxy – Kubernetes-Aware DB Proxy Service

    github.com/hasirciogli

    This is a high-performance database proxy built in Go for Kubernetes environments, offering TLS termination, dynamic routing based on Kubernetes labels, and lightweight connection management.

  3. k10ls — native K8s API port-forwarder

    github.com/besrabasant

    This tool enables automation-friendly, label-aware port forwarding for pods and services using the Kubernetes API, without relying on kubectl port-forward.

  4. Volare: Kubernetes Volume Populator

    github.com/AdamShannag

    Volare provides a Kubernetes volume populator that fills PersistentVolumeClaims with data from external sources such as S3 or HTTP servers before pods start using them.

  5. kgateway

    github.com/kgateway-dev

    Kgateway is a Kubernetes-native ingress controller and API gateway built on Envoy and Gateway API.

    It handles north-south traffic routing, API management with auth/rate limiting, AI/LLM gateway functions, and hybrid app migration.

Other interesting projects:

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Until next time!

— Gulcan

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