Containers, orchestration, cloud infrastructure, and the practices that keep production reliable.
A complete walkthrough running a real multi-node Kubernetes cluster on your laptop with kind, including loading a locally-built image without pushing to a registry.
Why Terraform's state file is the actual source of truth behind every plan and apply, and how drift, locking, and idempotency all follow from that design.
How vulnerability scanners actually inspect container image layers, how to read a scan report, and the practices that reduce real supply-chain risk.
How pod-to-pod networking, Services, and kube-proxy's packet rewriting fit together to make Kubernetes' flat network model actually work.
The two-phase filter-and-score process the Kubernetes scheduler uses to decide which node a pod lands on, and how to influence it.
How multi-stage builds, distroless base images, and layer discipline combine to produce smaller, more secure container images without sacrificing developer ergonomics.
At PyCon on March 15, 2013, dotCloud co-founder Solomon Hykes introduced Docker to the world, ahead of the company's later pivot to focus on it entirely.
On October 29, 2013, dotCloud announced it was scaling back its original PaaS business and renaming the company entirely around its container tooling.
On July 21, 2015, Kubernetes hit its 1.0 milestone the same day Google donated it as seed technology to the newly formed Cloud Native Computing Foundation.
How the three pillars of observability complement each other, and why having all three matters more than maximizing any single one.