SaaS Platform

SaaS Infrastructure: Repeatable Deployments Without Downtime

DevOps & Cloud

Challenge

Deployments were manual, ran late in the evening, and only one engineer knew the full sequence. Rolling back meant improvising under pressure.

The environments had been configured by hand over the years, so staging and production had drifted apart in ways nobody fully understood. A release that passed on staging could still fail in production, and each deployment meant a long evening of manual steps while the rest of the team waited to hear whether it had worked.

As the company grew, the process became a real business risk. Releases were getting less frequent because nobody wanted to go through them, and the knowledge needed to ship sat with a single person.

Solution

We described the environments as code, moved builds and deployments into an automated pipeline with staged rollouts, and added monitoring and alerting around the release path.

Documented the existing setup, then rebuilt the environments as infrastructure as code so staging and production match.
Containerised the services with Docker, so what is built and tested is exactly what gets deployed.
Set up a CI/CD pipeline that builds, tests and deploys every release, with staged rollouts and a straightforward rollback.
Added monitoring and alerting on the signals that show whether a release is healthy.
Ran the first releases together with the team and wrote short runbooks, so shipping no longer depends on one person.

Results

Deployments run during the working day from the pipeline, any engineer can trigger or roll back a release, and problems surface before users report them.

Releases are routine rather than an event, so the team ships smaller changes more often.
Environments are reproducible, and differences between staging and production no longer cause surprises.
Knowledge of the release process is shared across the team and written down.