A titan in the global logistics space was hampered by a rigid on-premise infrastructure distributed across multiple countries. Their development teams were struggling with slow release cycles, taking weeks to deploy minor updates, and their maintenance costs were ballooning. The lack of scalability meant that during peak shipping seasons, their tracking systems often buckled under the load. They required a complete digital transformation that would move their operations to the cloud, automate their deployment pipelines, and implement a self-healing infrastructure.
AWS (EKS, RDS, S3)TerraformDockerKubernetesGitHub ActionsAnsibleHelmPrometheus & Grafana
We executed a comprehensive 'Lift, Tinker, and Shift' migration to AWS. Our team utilized Terraform to codify their entire infrastructure, ensuring that duplicate environments could be spun up in any region within minutes. We containerized their core applications using Docker and implemented a Kubernetes (EKS) cluster for orchestration, which allowed for automated scaling and seamless service recovery. To solve the slow deployment issue, we built a robust CI/CD pipeline using GitHub Actions, reducing deployment times from days to mere minutes while increasing overall system reliability through automated testing at every stage.
Infrastructure as Code (IaC): 100% of the global network codified using Terraform and Ansible. Global Kubernetes Cluster: High-availability orchestration with automated scaling across three AWS regions. Continuous Delivery Blueprints: Automated pipelines that perform security scans and functional tests on every commit. Real-Time Observability: Full-stack monitoring using Datadog, providing instant insight into system health. Self-Healing Nodes: Automated detection and replacement of failing services without human intervention. Security-First Network: Implementation of a zero-trust architecture with granular VPC isolation and IAM controls. Phase 1: Infrastructure Audit & Cloud Readiness Assessment for all global legacy applications. Phase 2: Architecture Design focusing on multi-region availability and disaster recovery. Phase 3: Development of the IaC codebase and initial staging environment setup. Phase 4: Incremental Data Migration using AWS DMS to ensure zero data loss or downtime. Phase 5: Implementation of CI/CD pipelines and developer training on DevOps best practices. Phase 6: Full Production Cutover and secondary site verification for high-availability. The implementation successfully transformed the client's operations, setting a new benchmark for efficiency and reliability in their sector. By combining cutting-edge technology with a user-centric design approach, we delivered a platform that scales with their ambition.
Significant Cost Savings Notable reduction in hardware maintenance and server overhead costs.
High Uptime Achieved enterprise-grade reliability for global tracking systems.
Rapid Time-to-Market Feature deployment cycles were reduced dramatically.
Elastic Scalability The system now handles peak traffic without any manual intervention.
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