Spotlight

Sharded multi-cluster cert-manager with multicluster-runtime

Zach Smith

This tutorial shows how to build a hub-style multi-cluster cert-manager control plane where a central hub cluster manages certificate issuance and distribution across multiple spoke clusters using cert-manager and trust-manager.

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Tools and utilities

  • kubectl plugin for OpenAI GPT

    Kubectl OpenAI plugin is a kubectl plugin to generate and apply Kubernetes manifests using OpenAI GPT.

  • Pumba

    Pumba lets you kill, pause, and stress containers while injecting network delays, packet loss, and corruption.

  • Cloudnativepg: PostgreSQL operator for Kubernetes

    CloudNativePG is the Kubernetes operator that covers the entire lifecycle of a highly available PostgreSQL database cluster with a primary/standby architecture, using native streaming replication.

  • S4 – Super Simple Storage Service

    S4 is a lightweight single-container S3-compatible storage service built on Ceph RGW, with a React web UI, Helm chart for Kubernetes/OpenShift, and built-in HuggingFace model import support.

  • Cyphernetes

    Cyphernetes lets you query the Kubernetes API as if it were a graph database and discover relationships between resources.

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The Hidden Cost of Slow Autoscaling
The Hidden Cost of Slow Autoscaling

Forced platform migrations are usually treated as something to survive. At Scout24, a mandatory OS migration became an opportunity to rethink Kubernetes autoscaling, node provisioning, and infrastructure efficiency.

John Ford explains how Scout24 moved its EKS-based Infinity platform from a polling autoscaler and over-provisioned capacity to Karpenter and Bottlerocket. The result was faster node startup, a safer migration path, and about a 30% infrastructure reduction without major downtime.

In this interview:

  • Why two-minute node provisioning forced a 25% capacity buffer
  • How Karpenter made the Bottlerocket migration safer
  • What broke around EC2 metadata, AWS SDKs, and cgroups
  • How the new foundation enables Spot, ARM, and GPU workloads

Learn from production

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Matching jobs

    • Software Engineer with LVT

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    • Tech stack: Kubernetes, AWS, Azure, GCP, ArgoCD, Docker, Go, GraphQL, PHP, Rust

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    • Salary: $85K to $95K a year

    • Location: based in the office in El Segundo, CA, USA

    • Tech stack: Kubernetes, AWS, GCP, Docker, Python, SQL, Redis, PostgreSQL, MySQL, Flink

    • DevSecOps Engineer with Pedestal Health

    • Salary: $12.6K to $415.14K a year

    • Location: based in the office (and remote from home) in Research Triangle Park, NC, USA

    • Tech stack: Kubernetes, AWS, Docker, Python, SQL, PostgreSQL, Cloudformation, Terraform, Ansible, Chef

    • Machine Learning Engineer with Faraday Future

    • Salary: $45K to $363K a year

    • Location: based in the office in El Segundo, CA, USA

    • Tech stack: Kubernetes, AWS, GCP, Docker, Java, Python

    • Machine Learning Engineer with OpenLoop Health

    • Salary: $45K to $405.35K a year

    • Location: based in the office (and remote from home) in Bay Area, CA, USA

    • Tech stack: Kubernetes, GCP, Docker, Go, Python, Typescript

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    • The conference starts on the 2 July 2026.

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    The Call For Paper is open until 8 June 2026 at GMT-4. More info →
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    • In-person conference organized by DC State of the Stack.

    • The conference starts on the 17 September 2026.

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    • In-person conference organized by Devopsdays.

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