Move legacy workloads to modern, cloud-native architectures. Microservices, serverless, containers — done right. Incremental, zero-downtime, and built to last.
Every capability — engineered, automated, and built for production from day one.
Break monolithic applications into independently deployable, scalable microservices — with the right boundaries, communication patterns, and data ownership strategy to avoid distributed system anti-patterns.
Eliminate infrastructure management entirely for suitable workloads — Lambda, Step Functions, EventBridge, and SQS as the backbone of event-driven, infinitely scalable application architectures.
Containerize legacy applications and migrate them to ECS or EKS — with automated pipelines, optimized images, and production-grade orchestration that your team can operate with confidence.
Move from legacy relational databases to purpose-built AWS data stores — Aurora, DynamoDB, ElastiCache, and OpenSearch — with zero-downtime migration strategies and CDC-based replication.
Replace tightly coupled integrations and legacy ESBs with modern API-first architectures — REST and GraphQL APIs on API Gateway, event streaming with Kinesis and MSK, and managed workflow automation.
A phased approach that fits your workflow — no disruption, no guesswork.
We assess your legacy application portfolio — architecture complexity, dependencies, data flows, and team skill gaps — and classify every service by modernization approach: Rehost, Replatform, Refactor, Re-architect, or Replace.
We design the target cloud-native architecture for each prioritized workload — microservice boundaries, data stores, event flows, and API contracts — with a phased migration roadmap.
We execute workload modernization in prioritized waves — containerizing, refactoring, or re-architecting each service and validating it in staging before cutting over production.
Post-migration we tune performance, rightsize compute, implement caching layers, and add observability — iterating until each modernized service meets its SLO targets.
Drill into each domain — tools, techniques, and expected outcomes.
Decomposing a monolith into microservices is as much an organizational problem as a technical one. We use DDD and team topology principles to draw the right boundaries — then implement incrementally using the Strangler Fig pattern to minimize risk.
Serverless isn't just Lambda — it's an architectural style. We design event-driven systems using the right AWS primitives: Lambda for compute, Step Functions for orchestration, EventBridge for routing, and SQS / Kinesis for buffering.
Container migrations go wrong when images are over-sized, security is ignored, and pipelines are bolted on after the fact. We containerize correctly from the start — minimal images, security-scanned, GitOps-deployed.
Legacy databases are the most common modernization bottleneck. We plan and execute zero-downtime migrations from on-premises or EC2-hosted databases to fully managed AWS data services.
Legacy ESBs and point-to-point integrations become modernization bottlenecks. We replace them with event-driven, API-first architectures that scale independently and integrate cleanly.
Real business results from engagements we've led — not estimates.
We don't just consult — we commit. Here's what that means for you.
We use Domain-Driven Design to find the right microservice boundaries — not arbitrary splits that create distributed monolith anti-patterns and operational complexity without any benefit.
We don't force serverless everywhere. We evaluate each workload and apply Lambda, Step Functions, and EventBridge where they genuinely reduce cost and operational burden.
Every database and application migration we execute uses proven zero-downtime patterns — CDC replication, blue-green cutover, and smoke-test validation — with automated rollback if anything goes wrong.
We containerize correctly from the start: minimal images, security-scanned, signed, and deployed via GitOps pipelines — not ported VM deployments running in Docker.
We define business metrics for each modernization effort — cost per transaction, deployment frequency, incident rate — and track them through every migration phase.
We use the Strangler Fig and Branch-by-Abstraction patterns to modernize incrementally — so production is never at risk and teams can learn the new architecture gradually.
Best-of-breed, proven at scale. We work with the tools your team already trusts.
COMPUTE & SERVERLESSNo sales decks. No fluff. Just a direct conversation about your legacy application challenges and a complimentary portfolio assessment to get started.