Every service you need
AWS offers more managed services than any other cloud, from serverless to managed databases to ML. You stop stitching together vendors and build on one proven platform.
AWS infrastructure, cloud-native applications, and DevOps pipelines built by senior engineers who've shipped for Setu, ESPN, and Pine Labs.
Trusted by engineering teams at
AWS offers more managed services than any other cloud, from serverless to managed databases to ML. You stop stitching together vendors and build on one proven platform.
Multi-region, multi-AZ architecture lets you design for the availability your customers expect. We build infrastructure that survives failures instead of praying they never happen.
Every cloud engineer clears a founder-set bar we reject far more candidates than we accept. You get people who have run production AWS at scale, not certified beginners.
We match a pod to what your infrastructure actually needs, whether that is a cost-cutting audit or a full cloud migration. The team is sized to the work, not the other way around.
Every AWS pod ships with an experienced delivery lead accountable for reliability and spend. High-agency engineers take ownership of incidents instead of pointing fingers.
Applications designed for AWS from the ground up. ECS Fargate for containerized workloads, Lambda for event-driven processing, API Gateway for managed endpoints, and DynamoDB or Aurora for data. Not lift-and-shift to AWS. We build applications that use AWS services as building blocks, so you pay for what you use and scale without re-architecture.
Moving on-premise or legacy cloud workloads to AWS. We assess your current architecture, design the target state, and execute the migration with minimal downtime. Monolith-to-microservices refactoring, database migration (RDS, Aurora), and containerization of legacy applications. Parallel running during cutover so rollback is always an option.
Event-driven systems built on Lambda, Step Functions, EventBridge, SQS, and API Gateway. Functions that execute in milliseconds and cost nothing when idle. We design serverless architectures that handle bursty workloads without cold-start problems. Not everything should be serverless, and we will tell you when containers or EC2 are the better choice.
Every AWS resource defined in code, versioned in Git, and deployed through CI/CD. We use AWS CDK (TypeScript) for AWS-only environments and Terraform for multi-cloud or hybrid setups. No manual console clicks in production. Infrastructure changes go through the same code review and deployment pipeline as application code.
Automated build, test, and deployment pipelines using CodePipeline, CodeBuild, or GitHub Actions with AWS deployment targets. Blue-green deployments on ECS, canary releases on Lambda, and automated rollback on failure. Your team ships to production multiple times a day with confidence, not anxiety.
AWS bills analyzed, waste identified, and costs reduced. Right-sizing EC2 instances, converting to Savings Plans or Reserved Instances, eliminating unused resources, and architecting for cost efficiency. We have reduced AWS bills by 30-50% for clients running over-provisioned infrastructure. Cost optimization is an ongoing practice, not a one-time audit.
Every resource in CDK or Terraform. Every change through a pull request. Every deployment automated. If someone needs to click through the AWS console to make a production change, the infrastructure is not properly codified.
We design for cost efficiency from the start, not as an afterthought when the bill arrives. Service selection, instance sizing, and scaling policies all factor in cost alongside performance. Your monthly AWS bill should never be a surprise.
Least-privilege IAM, encryption everywhere, network isolation, and audit logging are part of the initial infrastructure template. Security is not a sprint we run before a compliance audit. It is how the infrastructure is built.
Multi-account organizations, service mesh, and Kubernetes are powerful tools. They are also expensive to operate. We match architectural complexity to your team's operational capacity. A simpler architecture your team can manage beats a sophisticated one that requires dedicated platform engineering.
We use AWS-native services where they provide clear advantages (Lambda, Aurora, CloudFront) but keep application code portable. Business logic stays in your code, not in AWS-specific constructs. If you ever move to another cloud, the migration path is clear.
We audit your current infrastructure (or requirements for greenfield), map workloads to AWS services, and design the target architecture. You get a technical proposal covering service selection, networking (VPC design), security (IAM policies, encryption), cost projections, and migration strategy. No implementation until the architecture is validated.
AWS VPC, subnets, security groups, IAM roles, and core services provisioned via CDK or Terraform. CI/CD pipeline configured. Monitoring and alerting set up with CloudWatch and alarms. The infrastructure foundation is production-grade from the start, not a prototype that needs hardening later.
For migrations: workloads moved service by service with parallel running and validation at each step. For new builds: application services deployed iteratively with working environments available from week one. Your team sees real progress in staging, not architecture diagrams.
AWS Well-Architected Review against all six pillars: operational excellence, security, reliability, performance efficiency, cost optimization, and sustainability. Security audit with IAM policy review, encryption verification, and network access validation. Load testing under production-like conditions.
Complete documentation covering architecture decisions, IaC repositories, deployment runbooks, and operational procedures. Your team manages the AWS environment independently. Optional support retainer for ongoing optimization and incident response, but no lock-in.
When your cloud roadmap is moving faster than your headcount, you get a senior AWS engineer who runs production infrastructure inside your team. They bring 5+ years operating real environments across compute (Lambda, ECS, EKS), data (RDS, DynamoDB, S3), and networking (VPC, CloudFront, Route 53), not a fresh certification.
When a migration or platform build is too big for one person and you need it owned, a cloud pod covers application, infrastructure, and DevOps as one team. They take architecture, deployment pipelines, monitoring, and cost management off your plate.
When you have a bounded goal like a migration, a modernization, or a cost blowout to fix, we scope it, price it, and deliver against clear milestones. You get a fixed outcome without an open-ended commitment.
Talk directly with engineers, not sales. We will assess fit and give honest next steps.
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AWS development costs depend on scope. A cloud migration for a small-to-medium workload (5-15 services) typically runs $30,000 to $80,000. A cloud-native application built on serverless and containers costs $50,000 to $150,000. Enterprise platform builds with multi-account architecture, advanced networking, and compliance requirements can run $150,000 to $400,000+. Procedure offers a free architecture consultation to scope your specific project. AWS infrastructure costs are separate and billed directly by AWS.