AWS Development Services
Cloud-Native Apps, Infrastructure & DevOps
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
Procedure is an AWS development company that architects production-grade cloud infrastructure, serverless systems, and CI/CD pipelines for companies that need to scale without compromising reliability. Since 2016, Procedure has delivered AWS solutions across compute, storage, and ML services for clients including Last9, Setu, and Treebo, managing infrastructure serving millions of requests daily. Engineers hold AWS certifications and build with Node.js, Python, and Kubernetes on AWS.
AWS Development Track Record
Why AWS for Your Business
The cloud platform with more services, more regions, and more uptime.
Broadest Service Catalog
AWS offers 200+ fully managed services covering compute, AI/ML, databases, IoT, and analytics. Your team builds on managed infrastructure instead of operating it, which cuts operational overhead by 40-60%.
Global Reach
33 regions and 105 availability zones mean your application runs close to your users everywhere. For products serving the US, India, and EU simultaneously, AWS reduces latency without architectural complexity.
Cost Optimization Tools
Reserved instances, spot pricing, and Savings Plans let engineering teams cut compute costs by 30-70%. AWS's cost explorer and right-sizing recommendations make optimization measurable.
Security and Compliance
SOC 2, HIPAA, PCI DSS, FedRAMP: AWS holds more compliance certifications than any cloud provider. For regulated industries, that's months of audit preparation you skip.
Cloud-native Ecosystem
Lambda for serverless, ECS and EKS for Kubernetes, SageMaker for ML. Teams build with Node.js and Python on AWS services that scale automatically.
AWS Development Services
Cloud-native applications, serverless, and production infrastructure.
Cloud-Native AWS Application Development
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.
AWS Migration and Modernization
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.
AWS Serverless (Lambda, Step Functions, EventBridge)
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.
Infrastructure as Code (CDK and Terraform)
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.
AWS DevOps & CI/CD Pipelines
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 Cost Optimization & FinOps
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.
Industries We Build AWS Systems For
Domain knowledge that accelerates delivery and reduces risk.
Financial Services & Fintech
PCI-DSS compliant payment infrastructure, real-time fraud detection with Lambda, and disaster recovery architectures. AWS GovCloud and dedicated tenancy for regulatory requirements.
SaaS & Technology
Auto-scaling multi-tenant platforms on ECS/EKS, serverless APIs with API Gateway, and CI/CD pipelines with CodePipeline. Cost-optimized architectures that scale with your customer base.
Healthcare & Life Sciences
HIPAA-eligible services for patient data, medical imaging storage on S3, and HealthLake for FHIR-compliant data lakes. BAA-covered architectures for protected health information.
Education & EdTech
Scalable LMS backends on Fargate, content delivery via CloudFront, and real-time features with AppSync. Elastic infrastructure that handles enrollment spikes without over-provisioning.
Media & Entertainment
Video transcoding with MediaConvert, CDN delivery via CloudFront, and serverless content processing pipelines. S3 Intelligent-Tiering for cost-effective media asset management.
Manufacturing & IoT
AWS IoT Core for device management, Kinesis for telemetry ingestion, and SageMaker for predictive maintenance models. Edge computing with Greengrass for factory floor deployments.
Is AWS Right for Your Infrastructure?
The largest cloud. Not always the simplest choice.
You need breadth of services (200+ and counting)
No other cloud matches AWS for service catalog depth. From Lambda to SageMaker to IoT Core, there's a managed service for almost every workload. Less custom infrastructure to build and maintain.
Multi-region, global-scale deployments
33 regions, 105 availability zones. CloudFront edge locations in 50+ countries. When your users span continents, AWS's global footprint is unmatched.
Startup-to-enterprise growth trajectory
Start on a t3.micro, scale to thousands of instances. AWS credits programs for startups, enterprise support tiers for Fortune 500s. The platform grows with you without re-platforming.
Regulated industries requiring specific compliance
FedRAMP, HIPAA, SOC 2, PCI DSS, ISO 27001. AWS has more compliance certifications than any cloud provider. GovCloud regions for federal workloads.
If your organization is deeply invested in the Microsoft ecosystem (Active Directory, .NET, SQL Server), Azure provides tighter integration with less friction. For ML-heavy workloads where TPUs and Vertex AI are priorities, GCP offers purpose-built infrastructure. The best cloud is the one your team can operate effectively. We help teams choose and migrate between all three.
We’ve architected AWS environments from startup MVPs to enterprise platforms serving millions.
AWS vs Azure vs GCP: When You Need What
We deploy on all three. Here's how we decide.
AWS
Best for
Broadest service catalog, startup-to-enterprise scaling, global deployments, regulated industries
Why
200+ services covering every workload. Largest global infrastructure (33 regions). Most compliance certifications. The default choice when you need breadth, maturity, and the deepest talent pool of cloud engineers.
We use it when
You need a specific managed service that only AWS offers, your team already has AWS expertise, you're deploying globally and need the most regions, or compliance requires FedRAMP/GovCloud.
Azure
Best for
Microsoft ecosystem shops (.NET, Active Directory, SQL Server), enterprise hybrid cloud, AI services (OpenAI partnership)
Why
Native Active Directory integration, first-class .NET support, and the strongest hybrid cloud story with Azure Arc. Microsoft's OpenAI partnership means Azure gets GPT models first. Enterprise agreements bundle discounts with existing Microsoft licensing.
We use it when
Your organization runs on Microsoft (AD, Office 365, .NET), you need hybrid cloud connecting on-premise to cloud, or you want priority access to OpenAI models through Azure OpenAI Service.
Google Cloud (GCP)
Best for
ML/AI workloads (TPUs, Vertex AI), data analytics (BigQuery), Kubernetes-native teams, cost-optimized compute
Why
Google built Kubernetes and runs it best on GKE. BigQuery is the fastest serverless data warehouse. TPU pods provide ML training performance that AWS and Azure can't match. Sustained-use discounts apply automatically.
We use it when
ML training is a core workload and you need TPU infrastructure, BigQuery is your analytics backbone, you want the best managed Kubernetes experience, or your team values Google's developer-friendly tooling.
Multi-cloud is common but rarely for redundancy. Most organizations pick a primary cloud based on team expertise and workload, with selective use of another cloud's strengths (GCP for BigQuery, AWS for Lambda, Azure for AD integration). We help teams avoid unnecessary complexity while leveraging each cloud's genuine advantages.
Our Approach to AWS Development
Cloud done right means infrastructure you can understand, operate, and afford.
Infrastructure as Code, Always
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.
Cost-Aware AWS Architecture
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.
Security as Default, Not Add-On
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.
Right-Sized Complexity
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.
Vendor-Aware, Not Vendor-Locked
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.
How We Deliver AWS Projects
Working software every sprint, not just progress updates.
Cloud Assessment and Architecture (1-2 weeks)
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.
Infrastructure Foundation (1-3 weeks)
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.
AWS Application Migration & Development (4-16 weeks)
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.
Security, Performance, and Cost Review (1-2 weeks)
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.
Handoff & AWS Operations Transfer
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.
Our AWS Stack
Every tool earns its place. Here’s what we ship with and why.
| Layer | Tools | Why |
|---|---|---|
| Compute | EC2, ECS, Lambda, Fargate | EC2 for full control, ECS/Fargate for containers without cluster management, Lambda for event-driven workloads |
| Storage | S3, EBS, EFS | S3 for object storage, EBS for block storage on EC2, EFS for shared file systems across containers |
| Database | RDS, Aurora, DynamoDB, ElastiCache | RDS for managed Postgres/MySQL, Aurora for high throughput, DynamoDB for key-value at scale, ElastiCache for Redis |
| Networking | VPC, ALB, CloudFront, Route 53 | VPC for network isolation, ALB for load balancing, CloudFront for global CDN, Route 53 for DNS |
| Security | IAM, KMS, WAF, GuardDuty | Least-privilege IAM policies, KMS for encryption, WAF for web protection, GuardDuty for threat detection |
| Containers | ECS, EKS, ECR | ECS for simpler orchestration, EKS when you need full Kubernetes, ECR for private container registries |
| Serverless | Lambda, API Gateway, Step Functions, EventBridge | Lambda for compute, API Gateway for endpoints, Step Functions for workflows, EventBridge for event routing |
| Monitoring | CloudWatch, X-Ray, CloudTrail | CloudWatch for metrics and alarms, X-Ray for distributed tracing, CloudTrail for audit logs |
| IaC | Terraform, CDK, CloudFormation | Terraform for multi-cloud, CDK for TypeScript-native IaC, CloudFormation for AWS-only stacks |
| CI/CD | CodePipeline, GitHub Actions | CodePipeline for AWS-native workflows, GitHub Actions for cross-platform builds and deployments |
| AI/ML | SageMaker, Bedrock, Comprehend | SageMaker for custom model training, Bedrock for managed foundation models, Comprehend for NLP |
We default to the simplest AWS service that solves the problem. Fargate over EKS unless you need Kubernetes. Lambda over containers for event-driven workloads. The goal is less infrastructure to manage, not more services on the bill.
Testimonials
Trusted by Engineering Leaders
“What started with one engineer nearly three years ago has grown into a team of five, each fully owning their deliverables. They've taken on critical core roles across teams. We're extremely pleased with the commitment and engagement they bring.”
“We've worked with Procedure across our portfolio, and the experience has been exceptional. They consistently deliver on every promise and adapt quickly to shifting project needs. We wholeheartedly recommend them for anyone seeking a reliable development partner.”
“Procedure has been our partner from inception through rapid growth. Their engineers are exceptionally talented and have proven essential to building out our engineering capacity. The leadership have been thought partners on key engineering decisions. Couldn't recommend them more highly!”
“What started with one engineer nearly three years ago has grown into a team of five, each fully owning their deliverables. They've taken on critical core roles across teams. We're extremely pleased with the commitment and engagement they bring.”
Discuss Your AWS Project
Whether it’s a new deployment, cloud migration, or cost optimization, we’re happy to talk through your situation.
Schedule a CallNo sales pitch. Just an honest conversation.
What you get
- AWS-certified engineers with 4+ years of production cloud infrastructure
- Full-stack AWS: compute, networking, databases, serverless, and security
- Terraform and CDK for infrastructure-as-code, not ClickOps
- Same timezone overlap (India-based team, flexible to US working hours)
- No recruiting overhead - engineers are vetted, onboarded, and managed
Hire AWS Engineers
Senior cloud engineers who build production AWS infrastructure from week one.
Dedicated Engineer
Engineers with 5+ years building production systems on AWS. Deep experience across compute (Lambda, ECS, EKS), data (RDS, DynamoDB, S3), and networking (VPC, CloudFront, Route 53). Not developers who passed a certification exam. Engineers who have operated production AWS environments.
Ongoing cloud engineering or DevOps work, 3-month minimum engagement
Cloud Pod (2-4 Engineers + Lead)
A team covering application development, infrastructure, and DevOps. Full ownership of AWS architecture, deployment pipelines, monitoring, and cost management. Mixed team of cloud architects and backend engineers.
Full cloud migrations or platform builds, 6-month minimum engagement
Project-Based Delivery
Fixed-scope engagement for specific AWS projects: migrations, cost optimization audits, or infrastructure modernization. Clear deliverables, timeline, and transparent pricing.
Defined scope like a migration or cost audit, scope-dependent
Starting at $3,500/month per developer for full-time dedicated engagement.
Talk to Us About Your TeamReady to Discuss Your
AWS Development Services Project?
Tell us about your cloud infrastructure needs. Whether it's a new deployment, migration to AWS, or cost optimization, we'll discuss architecture and give honest next steps.
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AWS Development FAQ
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.