Case Studies

The kinds of problems we solve, and how we approach them.

Note: These are representative scenarios that show how we work. They are not descriptions of specific client engagements. Client case studies will be added here as they are published.

DevOps & AutomationExample scenario

Untangling pipelines across dozens of services

Challenge: Every service had its own hand-written pipeline, so improving delivery meant editing dozens of files.
Approach: A shared pipeline library plus GitOps, migrated service by service while teams kept shipping.
Typical outcome: Consistent releases, and one place to improve delivery for everyone.

Explore DevOps & Automation

Cloud NativeExample scenario

Making Kubernetes upgrades routine

Challenge: Clusters had fallen behind on versions, and every upgrade felt risky enough to postpone.
Approach: Deprecated API inventory, rehearsed upgrades in staging, and rolling node replacement with capacity headroom.
Typical outcome: Upgrades become scheduled maintenance instead of a recurring project.

Explore Cloud Native

Observability & SREExample scenario

From noisy alerts to SLO-based on-call

Challenge: On-call engineers were paged constantly for symptoms that did not affect users.
Approach: Service level objectives for critical paths, symptom-based alerts and runbooks attached to every page.
Typical outcome: Fewer, more meaningful pages and faster incident diagnosis.

Explore Observability & SRE

Agentic CI/CDExample scenario

An AI review assistant for infrastructure changes

Challenge: Reviewers were overloaded, and risky Terraform changes could slip through routine pull requests.
Approach: A scoped, read-only agent that comments on pull requests and flags risky changes for human attention.
Typical outcome: Reviewers spend their time on the changes that need judgment.

Explore Agentic CI/CD

Cloud Security & IAMExample scenario

Least-privilege clean-up across AWS accounts

Challenge: Broad permissions and long-lived CI credentials had accumulated across accounts.
Approach: Usage analysis first, then staged permission reductions and federated, short-lived pipeline credentials.
Typical outcome: A smaller blast radius without breaking delivery.

Explore Cloud Security & IAM

Platform EngineeringExample scenario

A paved road for a growing engineering organization

Challenge: New teams needed weeks and several tickets to get a service running in production.
Approach: Golden-path templates, self-service environments and documentation, launched with one pilot team.
Typical outcome: New services reach production through a repeatable, documented path.

Explore Platform Engineering

Have a problem like these?

Tell us what you are dealing with and we will suggest how we would approach it.