Spotlight

Using Claude Code to Pilot Kubernetes on Autodock

Mike Solomon

This article describes using Claude Code with Autodock to replace 50,000+ lines of Helm charts with a single human-readable AUTODOCK.md file for deploying Argo Workflows and AortaAIM.

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Tools and utilities

  • k8sql: Kubernetes SQL query

    k8sql is a tool written in Rust that queries Kubernetes clusters using SQL syntax, exposing resources as database tables and kubectl contexts as databases with a query planner that optimizes API calls by pushing filters server-side.

  • k8s-d2: Kubernetes visualization

    k8s-d2 generates D2 diagram files from Kubernetes cluster topology, visualizing namespaces, workloads, services, and their relationships with customizable grid layouts and filtering options.

  • pwru (packet, where are you?)

    pwru is an eBPF-based tool for tracing network packets in the Linux kernel with advanced filtering capabilities.

  • Chainloop: SDLC Evidence Store

    Chainloop is an evidence store and policy engine for Software Supply Chain attestations, SBOMs, VEX, SARIF, and QA reports, with contract-based workflows, Rego policy evaluation, and third-party integrations such as Dependency-Track and Guac.

  • Docker Time Machine: image evolution

    Docker Time Machine is a CLI tool written in Go that tracks Docker image evolution through git history by walking through commits, building images, and recording metrics like size, layer count, and build time.

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Migrating to Karpenter: Fun Stories
Migrating to Karpenter: Fun Stories

Running multiple Kubernetes clusters on AWS with the cluster autoscaler? Every four months, you face the same grind: upgrading Kubernetes versions, recreating auto scaling groups, and hoping instance type changes stick.

Adhi Sutandi, DevOps Engineer at Beekeeper by LumApps, shares how his team migrated from the cluster autoscaler to Karpenter across eight EKS clusters — and the hard lessons they learned along the way.

In this episode:

  • Why AWS auto scaling groups are immutable and how that creates upgrade bottlenecks at scale
  • How the latest AMI tag accidentally turned less critical clusters into chaos engineering environments, dropping SLOs before anyone realized Karpenter was the cause
  • Why pre-stop sleep hooks solved pod restartability problems that Quarkus's built-in graceful shutdown couldn't
  • The case for pod disruption budgets over Karpenter annotations when protecting critical workloads during node rotations
  • How Karpenter's implicit 10% disruption budget caught the team off guard — and the explicit configuration that fixed it

Learn from production

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Matching jobs

    • DevOps Engineer with 1000 KLA Corporation

    • Salary: $136.3K to $231.7K a year

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

    • Tech stack: Kubernetes, AWS, Azure, GCP, Helm, Docker, Python, Shell, Powershell, Terraform

    • DevOps Engineer with Bestgate Engineering

    • Salary: $150K to $220K a year

    • Location: remote from

    • Tech stack: Kubernetes, AWS, ArgoCD, Python, Shell, Terraform, Gitlab, AWS CloudWatch

    • Account Executive - Enterprise with Tigera

    • Salary: $200K to $220K a year

    • Location: based in the office (and remote from home) in Vancouver, CA

    • Tech stack: Kubernetes, Azure, AWS, GCP, OpenShift, Python, Shell, SQL, GraphQL, Javascript

    • Data Engineer with Altana

    • Salary: $175K to $205K a year

    • Location: based in the office (and remote from home) in Brooklyn, NY; Washington, DC, USA

    • Tech stack: Kubernetes, AWS, Azure, Docker, SQL, Python, GraphQL, PostgreSQL, Spark, OpenSearch

    • Data Engineer with T-Rex Solutions

    • Salary: $190K to $225K a year

    • Location: based in the office in Ft. Meade, MD, USA

    • Tech stack: Kubernetes, Docker, Java, Groovy, Shell, Python, Terraform, Ansible

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