From Laptop to Cloud: Developing Cloud Native Applications with Containerized Databases
summary
Claims that running production-grade databases inside Kubernetes is practical by shifting storage features left into CSI drivers and operators, demonstrated end-to-end: a Flask app plus a MongoDB operator is seeded with ~800 Marvel records by a Kubernetes Job, updated live with Skaffold for local iterative builds, built in-cluster with Tekton + Kaniko, delivered via Flux and validated with Kubernetes operators/KubeVirt/Kverno-style policies; pipelines run, git manifests update, and the app deploys successfully while citing Gartner’s 75% cloud DB migration trend.
AI-written summary · about
chapters (5)
related talks
36mHow To Build Kube-Native CI/CD Pipelines for Containerized Databases
26mChallenges of Managing Stateful Applications in Kubernetes
28mCloud Native Tech: The Building Blocks of Modern DB Software
33mKube-Native CI/CD Pipelines for Containerized DBs
07mLightning Talk: My Database Runs on Kubernetes. What's Next? Data Platforms!
08mLightning Talk: Should You Run Your Database on Kubernetes
45mDatabases on Kubernetes: Why you should care
47mFrom a Database in Container to DBaaS on Kubernetes