DevOps & Infrastructure

DevOps and cloud infrastructure

Paul Titov & Co designs and improves cloud infrastructure, deployment, observability, backups, and recovery for software teams operating real products. The objective is routine releases and diagnosable failures, not infrastructure complexity for its own sake.

Infrastructure shapes how quickly a product can change and how safely it can recover. The goal is not novelty; it is an operating environment the team understands, a release process it trusts, and enough visibility to diagnose a problem before guesswork begins.

We design and improve hosting architecture, CI/CD, containerisation, DNS and CDN configuration, observability, backups, access controls, and deployment workflows. Engagements range from preparing a new product for launch to moving an established system away from fragile servers and manual releases.

Infrastructure work stays connected to application engineering and QA. That means performance, security, failure modes, database behaviour, and rollback plans are considered at the system boundary rather than passed between separate vendors. We do not position ourselves as a standalone penetration-testing or Kubernetes consultancy.

CI/CD, hosting, and deployment automation

We work with Linux, Docker, Nginx, AWS, Cloudflare, GitHub Actions, GitLab CI, and the surrounding services required by the product. Delivery work can include repeatable environments, automated builds and tests, deployment workflows, secrets, database migrations, release approvals, health checks, rollback procedures, and separation between development, staging, and production.

Hosting architecture can include DNS, CDN, TLS, object storage, application servers, workers, queues, databases, caches, load balancing, scaling, and controlled access. The design reflects actual availability and operating requirements rather than adopting distributed infrastructure by default.

Observability, backups, security, and migration

Operational visibility combines logs, metrics, traces where useful, uptime checks, error reporting, resource monitoring, and alerts that point to actionable conditions. Backup work includes retention, encryption, off-site storage, and restoration testing; an untested backup is only an assumption.

Hardening can include security headers, least-privilege access, dependency auditing, patching, secret rotation, network boundaries, and OWASP-oriented application reviews. Infrastructure migrations are planned around data transfer, DNS, compatibility, cutover, rollback, and verification.

This capability supports all of our software engineering and product platform work. QA includes functional, regression, API, and browser testing with tools such as Postman, Playwright, PHPUnit, and Jest.

Infrastructure people can actually operate

We first map how a change reaches production and how the team discovers that something is wrong. That means reviewing environments, secrets, network boundaries, databases, background jobs, third-party dependencies, deploy permissions, rollback options, and the recovery expectations attached to each critical service. We improve the riskiest path first rather than replacing an entire platform for cosmetic consistency.

A practical engagement may leave the client with reproducible infrastructure, automated builds and deployments, isolated environments, protected credentials, actionable logs and alerts, tested backups, runbooks, cost visibility, and a migration plan that limits interruption. We rehearse failure and restoration where the business impact justifies it. The goal is not a sophisticated diagram; it is a system the team can release, diagnose, and recover under pressure.