Case Studies

Production work, and what it changed.

  1. 01

    Re-architecting mission-critical ETL for event-driven scale

    Separating orchestration from compute to cut processing time, reduce infrastructure cost, and scale enterprise data workloads.

    • Healthcare
    • 8 min read
  2. 02

    Operationalizing an enterprise Kubernetes platform

    Establishing deployment, service-mesh, and observability standards for production microservices on Kubernetes.

    • Enterprise Platform
    • 7 min read
  3. 03

    Building an isolated sandbox for autonomous remediation

    Giving an AI agent a disposable AWS environment to safely remediate and validate hundreds of database tables.

    • SaaS · AI
    • 10 min read
  4. 04

    Building the cloud foundation for enterprise healthcare data

    Standardizing infrastructure, governance, and delivery workflows for a growing enterprise data platform.

    • Healthcare
    • 7 min read
  5. 05

    Hardening contractor WorkSpaces against data exfiltration

    Building a policy-enforced virtual desktop environment for contractors working with sensitive systems.

    • SaaS · Security
    • 10 min read
  6. 06

    Simplifying an over-built Kubernetes platform onto Cloud Run

    Removing the platform layers a small service estate did not need, right-sizing what remained, and cutting the modelled run-rate by about 40%.

    • EdTech
    • 9 min read
  7. 07

    Rebuilding CI runners so they can’t overspend

    Tracing a $270-a-day NAT leak to self-hosted CI runners, stopping it within hours, and rebuilding them with hard spending limits.

    • SaaS · FinOps
    • 9 min read