Agentic Unconference 2026 - September 19, Chennai
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Our AWS development services build and modernize enterprise apps on Amazon Web Services: serverless APIs, Redshift data platforms and generative AI on Amazon Bedrock. Senior engineers own architecture and delivery, so your estate scales with demand without an AWS bill nobody can explain.
AWS development services cover the design, build, migration and operation of software on Amazon Web Services. That means cloud-native apps, serverless APIs on AWS Lambda, data pipelines on Kinesis and Redshift, and generative AI on Amazon Bedrock. It also covers the infrastructure as code, CI/CD and security controls that keep those workloads stable.
✓ Your traffic is spiky or hard to forecast. Lambda, Fargate and DynamoDB on-demand scale with requests and shrink back when the spike passes. You pay for the load you get, not the peak you feared.
✓ You're leaving Oracle, SQL Server or an aging data center. AWS has proven tools for the move: DMS, Schema Conversion, Application Migration Service, and AWS Transform for .NET and mainframe code. Landing on Aurora PostgreSQL also takes database licensing off the bill.
✓ You sell into regulated industries. AWS signs a HIPAA Business Associate Addendum, runs GovCloud for FedRAMP High work, and hands out audit reports through AWS Artifact. That shortens security reviews, because your buyers' auditors already know the platform.
✓ You want generative AI without moving your data. Amazon Bedrock runs models from Anthropic, Meta, Mistral and Amazon, with private access over PrivateLink. AWS states that your prompts and outputs are not used to train the base models.
> Your estate runs on Microsoft. If identity lives in Entra ID and your apps run on .NET Framework and Windows Server, Azure is usually the simpler home. Azure Hybrid Benefit can also cut licensing cost under an existing Microsoft agreement. Our dedicated Azure developers can scope that path.
> Your app is small, steady and simple. An internal tool with flat traffic doesn't need VPC design, IAM policy reviews and a multi-account landing zone. A managed platform such as Heroku or Vercel, or an off-the-shelf SaaS product, will cost less to run and hand over.
> Your load is heavy, flat and around the clock. Large steady compute or egress-heavy work, such as video delivery, can cost less on dedicated hardware in a colocation facility. Run a three-year cost model for both before you commit to either.
AWS application development for web, mobile and SaaS products, cloud-native from sprint one. We pick compute per workload, define infrastructure in AWS CDK, and wire in IAM, logging and cost tags early. Amplify Gen 2 covers front ends that need to move fast.
The best AWS development service for legacy modernization starts with a dependency map, not a lift-and-shift quote. Oracle and SQL Server move to Aurora through DMS, and monoliths split along a strangler-fig path. It is the same method behind our application modernization services.
AWS Lambda development for event-driven work that spikes, with Step Functions and EventBridge carrying the flow. Long-running services go to containers on EKS instead. We plan for retries, duplicate events and cold starts up front, because that's where serverless projects usually break.
Our data engineering and analytics teams build pipelines that land, clean and serve data where the business can query it. Kinesis or MSK handle streams, EMR and Glue run heavy transforms, and Redshift Serverless serves analytics. You can replay any pipeline.
Our DevOps and quality engineering team builds pipelines in GitHub Actions or CodePipeline and writes infrastructure in Terraform. Tests run automatically at the API and UI layers. After launch we run the estate: patching, cost reviews and alerts routed to a named owner.
AWS AI software development inside the applications you already run. We build retrieval with Bedrock Knowledge Bases, add Guardrails for PII and policy, and score answers against a test set before release. Production agents run on Bedrock AgentCore through our agentic AI integration work.
100%
removal of expensive Oracle licensing and on-premise hardware costs
Moved a 50TB on-premise Oracle estate to Amazon Aurora and RDS using AWS SCT and DMS, with HIPAA-compliant encryption, audit logging and zero downtime at cutover.
50%
reduction in query time, from minutes to milliseconds
Unified ERP and PoS data on AWS, with an Amazon S3 data lake, Redshift for analytics, EMR for semi-structured data and Athena for serverless queries.
99%
reliability in historical data reprocessing and backfilling
Replaced manual file handling on isolated EC2 instances with event-driven AWS Airflow pipelines, so Zoho IoT data flows in on its own and a data lake feeds desalination forecasts.
Get a 20-minute technical read from a senior engineer. No pitch deck, no sales team.
Use AWS Lambda for event-driven, bursty work and containers on ECS or EKS for long-running, steady services. Lambda bills per request and scales to zero, but it caps a single invocation at 15 minutes and adds cold-start latency. Containers cost more when idle and less under steady load. They also suit apps with heavy dependencies or tight latency targets. Most enterprise estates end up using both, split by workload.
Moving one simple app to AWS usually takes weeks, while rebuilding a monolith often takes several months. Three things drive the schedule: data volume, the number of integrations, and how much business logic sits in stored procedures. A multi-terabyte Oracle estate full of PL/SQL is a different project from a stateless web app. Phased cutovers, with AWS DMS replicating data in the background, keep the business running during the move.
A predictable AWS bill comes from tagging, budgets and architecture choices made before launch, not from a cleanup project later. Tag every resource for cost allocation, set AWS Budgets alerts for drift, and cover steady compute with Savings Plans or Graviton instances. Data transfer and NAT Gateway charges cause many bill surprises, so network paths need designing with them in mind. A monthly Cost Explorer review then catches idle resources before they compound.
Yes, AWS supports HIPAA and SOC 2 workloads, but your app's compliance is still your job under the shared responsibility model. AWS offers HIPAA-eligible services under a Business Associate Addendum and publishes its own SOC 2 reports. Your side is setup and proof: AWS KMS encryption, least-privilege IAM, CloudTrail audit logs and GuardDuty alerts. Entrans holds ISO 27001:2022 and SOC 2 Type II certifications. We have also moved EHR systems holding patient data to AWS under HIPAA controls.
Some lock-in is the price of managed services, so the goal is to choose it on purpose rather than by accident. Containers, PostgreSQL on Aurora, Terraform and OpenTelemetry keep most of an application portable. DynamoDB, Step Functions and Lambda-native designs move faster but cost more to leave. A good AWS development services company should show you that trade-off for each component before it's built, not after.
Tell us the shape of the problem. A senior engineer reads it and replies. You won't get a templated capability deck.
