Project Overview
We executed a complete cloud migration for a logistics company, moving their on-premise infrastructure to AWS with automated CI/CD pipelines, container orchestration, and zero-downtime deployment capabilities.
The client's infrastructure consisted of bare-metal servers in a local data center, with manual deployments that required scheduled downtime windows. Scaling for peak seasons (Ramadan, year-end) was impossible without purchasing additional hardware. Our migration strategy followed a lift-and-modernize approach: we containerized all applications using Docker, orchestrated them with Kubernetes (EKS), and built automated CI/CD pipelines using GitHub Actions. The infrastructure was codified using Terraform, enabling reproducible environments. We implemented blue-green deployment strategy to achieve zero downtime during releases, auto-scaling policies for peak traffic, and comprehensive monitoring with Grafana and Prometheus.
Challenges
Migrating stateful applications and large databases with minimal downtime while maintaining data consistency.
Transitioning from monthly manual deployments to automated CI/CD without disrupting ongoing operations.
Designing auto-scaling policies that handle extreme traffic variability (5x spikes during peak seasons).
Solutions
Containerized all applications with Docker, orchestrated with AWS EKS (Kubernetes), and implemented Helm charts for reproducible deployments.
Built automated CI/CD pipelines with GitHub Actions, including unit tests, security scans, staging deployment, and production blue-green releases.
Codified all infrastructure with Terraform, enabling environment replication, disaster recovery, and consistent configuration across dev/staging/production.
Operational Excellence
Deployment frequency increased from monthly to daily. Infrastructure costs decreased by 70% through auto-scaling and reserved instances. The system handled a 5x traffic spike during peak season with zero manual intervention.
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