Technologies we use in production DevOps engagements

From application behaviour to a reproducible, signed and patched image standard your platform can rely on.

From the honest build-or-skip decision through architecture, migration and day-two operation of the platform.

Deployment YAML turned into versioned packages teams reuse without knowing every cluster detail.

Reviewed automation for Linux, Windows, bare metal, cloud instances and network devices — instead of manual SSH sessions.

Faster feedback, repeatable artifacts and a clear path from merge request to rollback.

Turning workflow sprawl into a delivery platform developers use without becoming CI specialists.

Reviewed changes, visible drift, controlled promotion and a tested route back to health.

GitOps that behaves like Kubernetes — small controllers, declarative resources and reconciliation inside every cluster.

A maintainable delivery system for AWS, Azure, GCP and Kubernetes — without tying production to one engineer's laptop.

One operating model across accounts, regions and tenants — with deployments that stay reviewable and recoverable.

Monitoring built around user impact, SLOs and fast diagnosis — with storage and cardinality under control.

One logging pipeline with predictable ingestion, useful context and controlled retention.