OpenStack in production — Day-2 operations, stability and governance of mission-critical private cloud platforms.
Deployment is where the operational journey begins.
I have worked on OpenStack platforms since 2016 and, for more than five years, on their operation in production: deployment and administration, incident management, monitoring and log management, upgrades, and the organisation that has to exist around a platform once a business depends on it. As a consultant, I have carried out these missions for banks and public administrations in France.
My interest is less in getting OpenStack to work than in keeping it under control afterwards — visibility, stability, recoverability, and the decisions that preserve them.
| What it is | Read it for | |
|---|---|---|
| OpenStack, the Day After Tomorrow | Free book (PDF, 116 pages, 20 chapters, CC BY-NC-ND 4.0) | The reasoning: why control over a platform erodes, how to assess it, how to keep it while the platform, its workloads and its people change |
| Short Guide | The book's ideas in 18 illustrated pages | A first read, or a shared reference for managers, sponsors and platform leads |
| OpenStack Production Guide | Troubleshooting by symptom, command and error message; the One Command, One Investigation series (20 episodes); six anonymised incident RCAs; change and rollback methodology | The practice, during an incident |
| Next | Open source tooling that turns these operating principles into day-to-day practice (in preparation) | — |
The book explains why; the Production Guide gives the checks, commands and cases for when it is already happening; the Short Guide is the way in.
- OpenStack in production — deployment and administration with Kolla-Ansible; Day-2 operations, incident and problem management, recovery, upgrades and lifecycle
- Observability — Prometheus, Grafana, Elasticsearch, Fluentd; log management and correlation for production platforms
- Platform foundations — Linux (CentOS, RHEL), QEMU / Libvirt / KVM, RabbitMQ, MariaDB / Galera, MySQL and PostgreSQL, Ansible
- Earlier work — Cloud Foundry / BOSH on OpenStack, Kubernetes on IBM Cloud, Elasticsearch cluster engineering
- Languages — Python, Shell
- Master's degree in computer science (data analysis and optimisation), University of Caen Normandy, 2016
- Bachelor's degree in computer science (software development), University of Caen Normandy, 2014
- Arabic, English, French
- Professional enquiries: LinkedIn
- Questions, corrections and suggestions about the book or the guides: open an issue in the corresponding repository