Spotlight

SIGTERM Doesn’t Mean “Stop”

Amanzoot

This case study shows how to stop restarts and deployments from causing outages by separating liveness and readiness probes and handling SIGTERM with a proper drain period.

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Tools and utilities

  • HolmesGPT - open source AI agent for incident investigation

    HolmesGPT is a CNCF sandbox AI agent that investigates production incidents and finds root causes, reading from Prometheus, Grafana, Datadog and Kubernetes, and it can also run in the background 24/7.

  • Spin Operator: WASM on K8s

    Spin Operator enables Wasm-based Spin apps to run on Kubernetes using custom CRDs and a controller built with Kubebuilder.

  • K9s - terminal UI to manage Kubernetes clusters

    K9s is a terminal UI for Kubernetes that keeps watching your cluster and lets you navigate, inspect and manage resources without typing long kubectl commands.

  • etcd-k8s-extract

    etcd-k8s-extract reads an etcd data directory or db file from a cluster and outputs all stored Kubernetes resources as YAML files, organized by kind and namespace.

  • SKA OCI Daemon

    SKA OCI Daemon primes OCI registries and compute nodes with container artifacts to reduce image pull times through efficient caching and multiple authentication methods.

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Events starting soon

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Who Owns Your Kubernetes Platform?
Who Owns Your Kubernetes Platform?

An application release can flood a shared Kubernetes cluster with logs, even though another team owns the logging infrastructure. Who has enough context to find the cause—and who owns the fix?

Molly Sheets joins Daniele Polencic and Bart Farrell to examine how tenancy decisions affect coordination, maintenance, and staffing costs. She connects ownership to business goals and explains why faster AI-assisted changes still need controlled releases.

In this episode:

  • The cost of one central team supporting multiple tenancy models
  • Why AI Ops needs context from application and platform teams
  • Network boundaries for AI-generated workloads
  • Maintenance as quality, with canary and cell-based releases

Learn from production

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Matching jobs

    • Client Engagement Manager with Mirantis

    • Salary: $0 to $517.18K a year

    • Location: remote within UTC-7 and UTC-5

    • Tech stack: Kubernetes

    • Data Engineer with BlueCat

    • Salary: $130K to $150K a year

    • Location: based in the office in Toronto, CA

    • Tech stack: Kubernetes, AWS, Python, Redis, RabbitMQ, Kafka

    • Data Engineer with Tamara

    • Salary: $93.6K to $336.6K a year

    • Location: remote from

    • Tech stack: Kubernetes, GCP, Python, SQL, Kafka, Airflow, Spark, Terraform, Grafana, Prometheus

    • DevOps Engineer with Amyris, Inc.

    • Salary: $157K to $208K a year

    • Location: remote from

    • Tech stack: Kubernetes, GCP, Docker, Python, Shell, SQL, PostgreSQL, SQL Server, Airflow, Terraform

    • DevOps Engineer with CITECH

    • Salary: US$148.5K to US$352.37K a year

    • Location: based in the office in Aix-en-Provence, FR

    • Tech stack: Kubernetes, Python, Shell, Openstack, Terraform, Gitlab, Ansible, Grafana, Prometheus

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