DevOps and Infrastructure
Release with confidence as often as you like, on automated pipelines and infrastructure defined as code.
Overview
Speed and stability aren't a trade-off; they come from the same practices. We automate how your software is built, tested, secured and released, define your infrastructure as code so every environment is reproducible, and put real observability in place. Releases become routine, rollbacks are rehearsed and quick, and your engineers spend their time on features instead of firefighting.
How we work
From first conversation to measurable results
- 01
Assess your current delivery pipeline, infrastructure and pain points
- 02
Define infrastructure as code, so every environment can be rebuilt on demand
- 03
Build CI/CD pipelines with automated testing and security scanning
- 04
Containerize and orchestrate workloads where it genuinely adds value
- 05
Add monitoring, logging and alerting that show what is really happening
- 06
Document everything and coach your team to own it
The difference
Why Unitary Tech
- 01
Automation everywhere it pays for itself
- 02
Security built into the pipeline, not checked at the end
- 03
Cloud-agnostic: AWS, Azure, Google Cloud or hybrid
- 04
Pragmatic tooling sized to your team, never a platform for its own sake
- 05
We leave your team more capable than we found it
Engineering & Technology
Related services
Software Engineering
Custom software, engineered to last.
Web Design and Development
Websites that load fast and convert.
Startup MVP
From idea to launch, fast.
Insights
Ideas worth reading
AI agents at work: from demo to dependable
An agent that is right nine times out of ten is a remarkable demo and an unusable employee. Six design principles that close the gap.
Private AI is setting a new standard
Running models inside your own trust boundary has stopped being the cautious choice. Here is what changed, where the economics cross over, and where hosted models still win.
Unlocking AI in modern business
Access to AI is no longer the hard part. Value comes from redesigning the work itself: choosing the right workflows, proving them small and measuring what changes.
Frequently Asked Questions
Something else on your mind? Ask us directly.
Which cloud platforms do you work with?
AWS, Microsoft Azure and Google Cloud, as well as hybrid and on-premise setups. We recommend based on your needs, not vendor preference.
Do we need Kubernetes?
Maybe not. It's powerful, but it adds complexity. We recommend the simplest platform that meets your scale and reliability needs. Sometimes that's Kubernetes; often it isn't.
Can you improve our existing setup rather than replace it?
Yes. Most of our DevOps work improves what's already there, step by step, without stopping your teams from shipping.