Cloud & Platform Engineering

Solution walkthrough

DevOps and developer platforms

Build repeatable delivery with infrastructure as code, deployment pipelines, container platforms and the tools engineering teams need to release and operate software.

Example workflow: Engineering and platform teams.

Discuss this use case

The operating problem

Engineering teams use different deployment scripts and environment conventions, making releases dependent on a few individuals. The goal is a supported delivery path that gives developers repeatability while keeping infrastructure and security owners involved in the right decisions.

From input to action

How it works.

  1. 01

    Map the release path

    Trace a change from source to production and identify delays, handoffs and repeated work. Select a representative service and define the acceptance criteria for its delivery pipeline.

  2. 02

    Automate the supported path

    Build versioned infrastructure and deployment pipelines with testing, secrets handling and the necessary approval steps. Keep the release artifact and configuration traceable.

  3. 03

    Support adoption

    Document the workflow, ownership and recovery path. Use feedback from the first teams to improve templates and make subsequent service onboarding more predictable.

What we deliver

  • Reference delivery pipeline
  • Infrastructure and environment templates
  • Release, approval and rollback controls
  • Developer documentation and platform ownership

What to measure

Agree a baseline and acceptance targets around the operating outcome.

  • Lead time from change to deployment
  • Deployment frequency and failure rate
  • Onboarding effort and time to recover a failed release

Explore the work

Related ApexFlo projects and products.

Completed delivery

Approximately 500 workloads in six months

Approximately 500 VMware workloads moved to Amazon EC2 through replication, target-side validation and controlled cutover.

Read the project