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Practical guides on Kubernetes, databases, cloud infrastructure, and reliability engineering. Real problems, real solutions.

Traffic spikes without pending pods: how to make Kubernetes scale itself

A calm cluster during a traffic spike is a design choice, not luck. The pattern is simple: pods scale on demand, and the cluster adds the nodes they need within minutes. This guide gives you a two-minute check and the four steps we use. It is based on a real engagement with a real-time data platform whose traffic jumps by millions of requests in minutes.

Your Kubernetes cluster can run for 40% less. Here is how to find the savings.

Many Kubernetes clusters use about a fifth of the capacity they pay for. The good news is that most of that gap can be closed without changing application code or lowering availability. This guide gives you a two-minute check and the four steps we use. It is based on a real engagement where the monthly bill fell from $18,000 to about $10,800.

From DevOps to AI infrastructure: extend, don't restart

Teams that want to run AI in production often assume they need a new kind of engineer. In most cases they need their existing platform team to extend what it already does. This guide maps the skills you have to the work AI adds, and gives a checklist for taking a retrieval-augmented (RAG) assistant or an agent into production. It is the practical side of our AI Infrastructure service.

Your MySQL backup takes 12 hours. Here is how to fix it.

Full backups of a 2 TB MySQL database that take more than 12 hours, fail regularly and have never been restored are a common finding. The backup exists, but nobody knows if it works. This guide gives you a two-minute check and the four steps we use to fix it. It is based on a real engagement.