Hard infrastructure problems, taken off your team's plate.
For web studios, product teams and software development companies that need experienced infrastructure help without building another internal team.
For production incidents, broken deployments, performance bottlenecks and infrastructure work that is too difficult or time-consuming for your core team to keep carrying.
Engineering outcomes, not slide decks.
Automate delivery. Remove friction.
Declarative infra and safer rollouts.
Less noise. More signal. Lower senior dependency.
Measured latency and throughput wins.
Move to cloud without breaking production.
Cut cloud costs. Keep performance.
Deep MySQL & SQL Server performance troubleshooting—from query plans and locking to memory, I/O and production concurrency.
Fixing Root cause, not rituals.
Agents and workflows that ship.
Short, measurable stories. No epic novels.
How we collected infrastructure metrics, network probes and application traces from remote POS and warehouse systems into a central Kubernetes observability stack.
A production SQL Server periodically stopped responding even after CPU and memory had been increased. We traced THREADPOOL starvation through compile blocking and Extended Events to an unnecessary SET ANSI_WARNINGS OFF inside a stored procedure.
A practical way to turn MySQL slow_log into a ranked list of query families by frequency, total execution time, and worst-case latency.
A Kubernetes application became intermittently slow because internal API requests were leaving the cluster through a public DNS name. How we traced the latency to external network RTT and kept the traffic inside Kubernetes.
A RabbitMQ Streams incident where some writes succeeded while others failed with coordinator unavailable. How we identified the authoritative Raft state, recovered the cluster safely, and fixed the monitoring gap that allowed the split-brain condition to go unnoticed.
A practical setup for live browser-based camera streaming across multiple stores using a minimal stack: Nginx, FFmpeg, RTMP, HLS, and Supervisord.
A practical migration of a mid-load Laravel stack from multiple cloud VPS instances to a dedicated on-prem server, with lower latency, zero downtime, and full control over IO.
How we moved repetitive Docker environment work away from a web developer by combining DevOps knowledge, project-specific Codex skills and an n8n interface.
A load balancer kept returning 502 errors even though every backend was healthy. The root cause was an NGINX segfault during log rotation, and the long-term fix combined 5xx rate monitoring with automatic recovery from kernel-reported crashes.
Kubernetes, VMs or bare metal, cloud or on-prem, GitLab or GitHub - we don't require a platform rewrite before we can help.
Tell us what hurts. We’ll fix the root cause.