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A selection of our work across cloud infrastructure, DevOps, software engineering, CI/CD automation, middleware systems, and scalable platform modernization.
Modernizing infrastructure, automating deployments, improving scalability, and reducing operational overhead through cloud-native architecture and DevOps practices.
A rapidly growing digital business faced operational bottlenecks caused by manual deployments, unstable environments, and increasing infrastructure costs. Engineering teams spent significant time maintaining systems instead of delivering product improvements.
The objective was to modernize the infrastructure, automate deployments, improve reliability, and reduce operational workload through scalable cloud-native architecture.
The infrastructure was redesigned and migrated into a scalable AWS cloud architecture with fully automated deployment pipelines and Kubernetes orchestration.
Deployment time reduced from several hours to approximately 20 minutes.
Infrastructure costs reduced through optimized cloud resource management.
Operational engineering workload reduced from ~40% to under 10%.
Designing a scalable middleware architecture to modernize communication between legacy XML-based systems and modern client applications.
The project focused on implementing a middleware layer of RESTful APIs to bridge modern applications with a tightly coupled legacy ordering platform relying on XML communication.
The objective was to modernize integrations while preserving compatibility with the existing system architecture.
A middleware API layer was developed using .NET Core with asynchronous event-driven communication and automated deployment pipelines.
Improved interoperability and communication between legacy and modern systems.
Enabled the platform to handle significantly higher transaction volumes.
Improved resilience, message durability, deployment consistency, and maintainability.
We help businesses design scalable cloud infrastructure, automate deployments, modernize legacy systems, and improve reliability across engineering operations.
