A definitive guide on adding cluster label to all Kubernetes metrics.

Kubernetes has transformed how developers build, test, and deploy applications, providing a consistent platform for managing containerized workloads. Setting up efficient Kubernetes clusters is crucial for streamlining the development process, reducing time-to-market, and ensuring that applications run reliably from development to production.

For years, AI in operations was plagued by noise—overwhelming alerts, false positives, and a lack of actionable insights. The tools available promised much, but often delivered little, leading to a loss of trust. However, with the groundbreaking work by platforms like OpenAI and the emergence of trustworthy AI tools like Copilot, the potential of AI in operations has never been nearer and clearer.

I run a small Kubernetes cluster at home, which I originally set up as somewhere to experiment. Because it started as a playground, I never bothered to set up monitoring. However, as time passed, I’ve ended up dropping more production-esque workloads onto it, so I decided I should probably put some observability in place. Not having visibility into the cluster was actually a little odd, considering that even my fish tank can page me.

Komodor, the company that automates Kubernetes management, today announced Klaudia, the first Generative AI (GenAI) agent for troubleshooting and remediating operational issues, as well as optimizing Kubernetes environments. Integrated within the Komodor Kubernetes Management Platform, Klaudia simplifies and accelerates root-cause analysis, empowering both platform and application teams with precise diagnostics to resolve issues with unprecedented speed and precision.

And with that, we have concluded another incredible Navigate event As Navigate Europe 2024 comes to an end, we couldn't be more grateful for everyone involved, from our sponsors, attendees, and most importantly, the Civo team. It was a packed event with over 40 talks and workshops on a range of topics, such as artificial intelligence (AI), emerging technology, LLMs, and security in the cloud native space.

Migrating applications from a Platform as a Service (PaaS) to a cloud platform is often a complex, time-consuming, and expensive process. Companies using PaaS platforms like Heroku, Render, Fly.io, Railway, Vercel, Netlify, and many others frequently delay this migration despite needing enhanced security, compliance, technical capabilities, and greater control over their infrastructure.

Monitoring Kubernetes performance allows you to manage your applications smoothly. In this article, we will examine Kubernetes metrics every team should monitor and how to send K8s metrics to MetricFire for insights and visualization in Hosted Grafana.

As your startup grows, infrastructure and deployment get more complex, raising a key question: “Do we need a DevOps engineer?” While automation tools can handle many tasks early on, there comes a point when manual intervention becomes necessary to scale efficiently and securely. This guide will help you assess when it’s time to hire your first DevOps engineer, the key responsibilities they bring, and alternatives that can delay the need for a full-time hire.

Automation is the foundation of any successful DevOps strategy, especially for startups and fast-growing companies. Manual processes simply don’t scale as the business grows, leading to delays, errors, and frustration. For organizations striving to optimize efficiency, speed up development, and maintain high-quality standards, DevOps automation is a must.