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A 100–150 employee manufacturer in Germany was managing a vendor network spanning multiple countries through a combination of email, spreadsheets, and manual ERP entries — slow, error-prone, and…
View Case Study →Release pipelines, environments, infrastructure — and the security inside them
Releases should be events you plan, not crises you manage.
We build and run the path your code takes from a commit to a live system: the pipeline, the environments it passes through, the infrastructure it lands on, and the checks that stop a bad change before a customer sees it. Security is part of that path from the first stage, not a test bolted on before launch.
Manual releases do not scale with the team — and they hide the risk.
Ad-hoc deployments work until they don't. A missed step, an untested environment difference, a release that only one person on the team knows how to run, a server that was fixed by hand one evening and never documented. Each of these is a liability, not a process. And the same gaps are where security incidents come from: a secret in a repository, a database reachable from the wrong network, a dependency nobody chose deliberately that now carries a critical advisory.
We replace that with one path to production that every change walks the same way, whoever is on shift — with the security checks inside the path, so the penetration test at the end confirms what the pipeline has already enforced.
What we deliver.
Right-sized for a mid-sized team: enough automation to be repeatable and auditable, not a platform you will spend a year maintaining.
- CI/CD pipelines from commit to production on Azure DevOps or GitHub Actions — build, test, package, deploy, with the run history as your release record
- Gated environments: development, QA, test and live as separate, identical environments, so every change walks the same path and nothing reaches production untested
- Infrastructure as code for private cloud, on-premises and hyperscaler targets, so nobody has to remember what was clicked
- Security built into the pipeline: dependency and container scanning that fails the build, secrets kept out of repositories and injected at deploy time, least-privilege service accounts, deny-by-default network rules
- Docker containerisation and disposable test infrastructure, for example a fresh SQL Server container per pipeline run instead of a shared test database
- Mobile release distribution: parallel test, pilot and production builds delivered to field devices through Firebase App Distribution and the stores
- Monitoring, alerting and logs that can answer who did what, when — and rehearsed restores, so a backup is a recovery plan rather than a file
- Cost-aware operation: environments that scale down when idle and a bill you can read
Why exbisoft.
Built by the team that ships the code.
Our DevOps work is done by the engineers who also build the applications running through these pipelines — not a disconnected infrastructure team. A construction company's Subcontractor Portal runs on private German cloud through a dev–QA–test–live pipeline we built alongside the application itself, with its iOS and Android builds distributed to field devices from the same pipeline.
Security as a property, not a phase.
Scanning, secrets handling, least privilege and network rules live inside the delivery path, where they run on every change. The pre-launch penetration test still happens; it just confirms rather than discovers.
Repeatable by design.
Automation that removes tribal knowledge from the release process, so it does not depend on one person being available — and that leaves a record: which commit, which environment, which approval, at what time.
Right-sized tooling.
We configure what your team actually needs for the systems you actually run: a private rack in Germany, an on-premises server, or Azure. The discipline is the same; the platform is your choice.
Proven under real load.
For a licence-renewal platform with partners embedding it in websites, apps, POS systems and ATMs, we own the CI/CD pipelines, environment management and production monitoring as an embedded team — the kind of always-on service where a bad release is public within minutes.
Releases still depend on one person, or on luck?
Tell us how you deploy today, where your secrets live and how a change reaches production. We will tell you honestly where the risk is — and what one path to production would look like for your team.
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