
Containerize, refactor and automate: microservices on Kubernetes (EKS / AKS), CI/CD pipelines and DevSecOps engineered to ship changes faster, safer and cheaper — without a risky big-bang rewrite.
Our Application Modernization & DevOps service combines application re-engineering with modern delivery practice. We assess each application's architecture, dependencies and business value, then choose the right modernization path — containerize-and-move, replatform, or incremental refactor to microservices using the Strangler Fig pattern to avoid big-bang risk. Workloads are packaged with Docker and Helm and run on managed Kubernetes (Amazon EKS or Azure AKS), or on serverless where it fits. In parallel we engineer the delivery pipeline: CI/CD with pipeline-as-code, GitOps for deployment, and DevSecOps controls that shift security left. We instrument everything with observability and SRE practices and track improvement with DORA metrics.
See what Application Modernization & DevOps delivers and how it fits your environment.
Talk to an App Modernization ExpertNo, and we actively advise against big-bang rewrites. We modernize incrementally, often containerizing first and then decomposing high-value components using the Strangler Fig pattern, so value is delivered in stages and risk stays contained.
Migration moves workloads as-is; modernization changes how they are built and delivered — containers, microservices and automated pipelines — so you gain speed, scalability and lower run cost, not just a new hosting location.
Security and quality gates are built into the pipeline, and we use progressive delivery (canary and blue-green) with automated rollback. We track change failure rate and MTTR via DORA metrics so reliability is measured, not hoped for.
Both. We run managed Kubernetes on Amazon EKS and Azure AKS and build pipelines with common tooling (GitHub Actions, Azure DevOps, GitLab CI), choosing the stack that best fits your environment and team.
Either. We deliver defined modernization projects and can also stand up and run an ongoing platform-engineering and DevOps capability, transitioning day-to-day operation to your team or continuing under a managed model.
We baseline DORA metrics and run cost before we start and report the improvement — faster deployments, shorter lead times, fewer failures and lower infrastructure spend.
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