Writing about custom Kubernetes operators, low level interfaces, and private LLM infrastructure setups.
Field notes on Kubernetes networking: what really happened to ingress-nginx, what Gateway API and ingress2gateway do and don’t solve, and what’s genuinely still missing before you cut over.
Exposing the parallel-by-default execution of Bend as highly scalable, multi-cloud serverless endpoints.
A new programming language that makes parallel computing on CPUs and GPUs feel like writing Python, without the complexity of C++ or CUDA.
Running databases on Kubernetes has a reputation for being painful. I built CloudDB to change that: a Kubernetes native, self hosted DBaaS control plane with a React dashboard and a Go API that wraps the Zalando Postgres Operator. Here is what I built, why, and where it is heading.
Most machine learning projects never make it to production. Not because the models are bad, but because managing stateful training pipelines and dynamic model drift in production requires platform engineering, not just data science. Here is how I approach MLOps, MLflow, and Kubeflow without the textbook fluff.
Running sandboxed programs inside the Linux kernel to trace system calls and inspect packet flow without patching source code or loading unstable kernel modules.