DevOps & Platform Engineering
Make releases reliable.
For startups and midsize engineering teams: improve CI/CD, Terraform infrastructure and observability around your existing stack. We work with your engineers to make deployments repeatable and production easier to operate.
Tell us what slows releases down and which tools you use. We’ll reply by email with questions and next steps.
Cloud & DevOps Audit from $1,000 USD — fixed quote agreed upfront, excluding applicable taxes.
What we deliver
CI/CD automation
GitHub Actions and GitLab pipelines with GitOps deployment — 50% faster deployments and 60% faster development cycles delivered for clients.
Kubernetes & containers
Production EKS/AKS/GKE platforms with autoscaling, GPU nodes for AI workloads, and developer self-service golden paths.
Infrastructure as Code
Terraform modules and landing-zone automation — reproducible environments, reviewable changes, no snowflake servers.
Observability & SRE
Monitoring, alerting, tracing and SLOs — including Kafka pipelines and OpenSearch analytics powering 100% uptime records.
AI-augmented operations
Our own agents triage CI failures, watch cost anomalies and draft incident summaries — the same tooling we build for clients.
Tell us what slows releases down and which tools you use. We’ll reply by email with questions and next steps.
Discuss your release processTechnologies we work with
Proven in production
100% Uptime and $132K Saved: Cloud-Native Re-Platform for Factory Automation
100%
Uptime sustained 6+ months
Read the Moment Track story →
From 48-Hour Lab Waits to 15-Second Answers: Computer Vision for Water Testing
15 sec
Analysis time, down from 48 hours
Read the PoolWater Pro story →
DevOps & Platform Engineering — FAQs
What results can we expect from a DevOps engagement?
Across recent engagements: 50% faster deployments, 60% faster development cycles, 40% lower operating costs and 100% uptime sustained for 6+ months. We agree measurable targets in the scope before we start.
Can you work with our existing team rather than replace it?
That is our default. We build the platform with your engineers, document golden paths and transfer ownership — the goal is that your team runs it confidently after we leave.
Do we need Kubernetes?
Not always. For many workloads, managed services or simpler container hosting is cheaper and easier to run. We recommend Kubernetes when scale, portability or platform requirements justify it — and we will tell you when it does not.
How does AI change DevOps work?
AI agents now handle much of the toil: CI failure triage, log analysis, cost anomaly detection and first-draft incident reports. We build these agents into the platforms we deliver — with humans approving anything that touches production.
Ready to talk DevOps & Platform Engineering?
Tell us what slows releases down and which tools you use. We’ll reply by email with questions and next steps.