Cloud & DevOps
Azure cloud infrastructure, Docker, Kubernetes, CI/CD pipelines, and DevOps practices by Brahim Boumlik, Technical Lead at Fygurs.
- ·20 MIN READ
Automating Cloud Infrastructure: From Manual Setup to Code-Driven Deployment
If you can't recreate your infrastructure from scratch in under 30 minutes, you have a single point of failure. Ansible lets you describe exactly what a server should look like and apply it repeatedly, identically, across every environment.
- ·20 MIN READ
Scaling Applications in the Cloud: Kubernetes and GitOps in Practice
Kubernetes enforces a discipline — every change is declarative, every deployment is auditable, and rollbacks are a single command. Here's how we run K3s clusters with ArgoCD for continuous delivery without manual intervention.
- ·20 MIN READ
Shipping Faster with Automated Pipelines: CI/CD with GitHub Actions
Every manual deployment is a deployment that will eventually be forgotten or done wrong. This is the GitHub Actions setup we use to build, test, and ship to Azure on every merge — with caching strategies that make pipelines actually fast.
- ·15 MIN READ
Enforcing Code Standards Across a Multi-Language Team
Code quality in a team isn't about personal preference — it's about reducing review friction and preventing entire classes of bugs. This is the linting and formatting setup we use across TypeScript and Python in a shared monorepo, enforced automatically in CI.
- ·28 MIN READ
From Code to Container: A Production Docker Guide
Containers are only as good as the build strategy behind them. This covers the multi-stage setup we use to keep production images lean, the Compose orchestration for local development, and the configuration mistakes that bloat images and slow pipelines.
- ·22 MIN READ
How We Deployed and Scaled on Azure: A Production Playbook
Moving to Azure Container Apps changed how fast we could ship. This is the exact setup we run at Fygurs — container registry, environment-based scaling, and automated deployments triggered by a GitHub push — with the lessons from doing it wrong first.