Context
A production application was deployed across 30 frontend servers in small batches. Each rollout required external access to be blocked, the application to be stopped, updated, restarted, tested, and reopened.
Featured case
From manual batch releases to blue/green deployment automation
A deeper anonymous example of release automation, reduced service exposure, and a more repeatable deployment model under production pressure.
Challenge
This created an end-to-end release window of around 2 hours and approximately 30 minutes of partial service disruption. The process depended on multiple manual interventions, increasing operational effort, inconsistency, and release risk.
Approach
After analysing and mapping the full release workflow, I identified the manual dependencies and bottlenecks that were extending both deployment time and service exposure. I then redesigned the process around blue/green deployment and implemented Ansible playbooks and PowerShell automation to standardize deployment, smoke tests, and functional validation.
Outcome
The result was a reduction in release and validation time from around 2 hours to roughly 20 minutes, while partial downtime dropped from approximately 30 minutes to about 2 minutes. The new process made releases more repeatable, safer, and easier to execute under operational pressure.
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