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Ironbook AI · Aug 2025 – Present

CI/CD and production scaling on Kubernetes

Drove CI/CD pipeline development and production scaling on Kubernetes with Docker and AWS ECR.

Deployment & DevOps

01Context

Ironbook AI's services, from AI agents to data pipelines, ship to Kubernetes. I drive how code gets there.

02Challenge

Shipping AI and data services quickly and safely means every change has to follow the same path from commit to production, and scale once it's there.

03Approach

  1. 01

    Containerise

    Packaged services as Docker images and stored them in AWS ECR.

  2. 02

    Automate delivery

    Developed CI/CD pipelines so builds and releases happen the same way every time.

  3. 03

    Scale in production

    Ran and scaled the services on Kubernetes in production.

04Architecture

  1. 1Code

    • Git commit

  2. 2Pipeline

    • CI/CD build

  3. 3Registry

    • Docker image
    • AWS ECR

  4. 4Runtime

    • Kubernetes
    • Production scaling

Simplified view of how the pieces connect.

05Stack

KubernetesDockerAWS ECRCI/CD

06Outcomes

  • One automated path from commit to production
  • Production workloads scaled on Kubernetes

Details are generalised to respect employer and client confidentiality. Numbers shown are the ones I can share.

Building something similar?

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