Capability

DevOps and DevSecOps for reliable enterprise releases

RESTART helps to structure the development and operation process so that releases are predictable, environments are manageable, and security is built into the pipeline.

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Why is this necessary?

Complex enterprise systems cannot be developed manually and chaotically. We need repositories, environments, CI/CD, secret control, testing, monitoring, logging, rollback and clear release rules.

What we do

We design CI/CD, Docker/Kubernetes environments, dev/test/stage/prod environments, monitoring, logging, alerting, infrastructure as code, security gates, SAST/DAST/SCA, control of dependencies and secrets.

DevSecOps

Security is built into the SDLC: checking code, containers, dependencies, configurations, secrets and access policies before going into production.

Escort

We help support systems after launch: updates, monitoring, incidents, optimization, technical debt, operating regulations.

Result

Reduced risk of emergency releases, faster delivery of changes, infrastructure transparency and clear quality control.

First step

Audit of the current delivery process: repositories, assemblies, environments, secrets, tests, deployment, monitoring and incidents.

Result Artifacts

  • map of the current environment, systems, data and process owners;
  • description of the target architecture and integrations;
  • priorities, risks and a realistic roadmap;
  • team composition, roles, management format and acceptance criteria;
  • plan for industrial operation and development after launch.

Frequently asked questions

Where does the work begin?

From diagnostics of the current environment, goals, limitations, systems, data and customer team.

Is it possible to start without a big project?

Yes. For most areas, a quick survey, architectural session, or pilot is a reasonable first step.

What remains for the customer after the stage?

Architectural diagram, list of risks, roadmap, implementation requirements and clear composition of the next stage.

DevOps for AI infrastructure

AI infrastructure requires the same engineering discipline as production systems: environments, releases, containerization, monitoring, backup, secrets, logs, rollback, capacity planning and pipeline security. Therefore, AI Compute is closely related to the DevOps/DevSecOps practice RESTART.

Let's discuss your environment

Describe the task, current systems, constraints, and expected results. We will offer a practical first step: diagnostics, pilot, audit, roadmap or project team.

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