DevOps Services

A common mistake is to start by buying tools. The right starting point is a value stream map: we chart the steps a code change goes through from idea to production and the waiting time at each step. In our experience the bottleneck is usually not the build but the manual testing and approval steps. We build the first pipeline for the single application that changes most — a pilot rather than a big bang: within 4-6 weeks that application's deployment becomes 'one click, reversible' and the team sees a concrete gain. We then turn it into a template and roll it out to the other applications. The level that DORA research reports for the top-performing group — multiple deployments per day on demand and a change failure rate of about 5% — is an achievable target along this gradual path.

Leaving security to the end means catching defects at the most expensive point. The chain we build has four checkpoints: secret scanning at commit time (catches an accidentally pushed password or token before it is even merged), code analysis with SAST and dependency scanning at build (with SBOM generation, preparing you for Log4Shell-like supply chain risks), container scanning at image creation, and a policy check before deployment (e.g. 'a container running as root cannot go to production'). A finding above the critical threshold turns the pipeline red — security is a condition for passing, not a report. With Vault-based secret management, passwords are removed from code entirely.