AZURE DEVOPS LIFECYCLE
Architectedfault-tolerantdataingestionpipelineshandlingmillionsofrequestsperminutewithultra-lowlatency.
The deployment pipeline was experiencing catastrophic bottlenecks, with builds taking upwards of 4 hours. Manual intervention was required at multiple stages, leading to inconsistent environments and high failure rates.
By completely refactoring the infrastructure using Terraform and Azure DevOps, we eliminated manual steps and reduced the failure rate to near zero. Everything was codified, containerized, and automated.
Phase 1 focused on auditing the existing monolithic architecture and identifying the critical path bottlenecks.
Phase 2 introduced containerization strategies using Docker and Kubernetes, migrating legacy services to cloud-native microservices.
03 / Outcomes
- Build times reduced by 60%
- Near-zero deployment failure rate
- Fully codified, repeatable environments
- Automated rollback protocols
See it in action
Work in detail
INFRASTRUCTURE AS CODE
Translating manual configurations into declarative Terraform scripts, allowing us to spin up identical staging and production environments in minutes.
AUTOMATED DEPLOYMENTS
The CI/CD dashboard tracking real-time deployment metrics. We cut build times by 60% and introduced automated rollback protocols.
TELEMETRY & OBSERVABILITY
Final implementation of the live telemetry system monitoring cluster health and automated scaling triggers.
A closer look
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