We review the current application, traffic patterns, integrations, security requirements, and cost drivers, and identify where serverless can create value and where another AWS service may be more appropriate.
We design an event-driven architecture using AWS Lambda, Amazon API Gateway, Amazon EventBridge, queues, databases, and supporting AWS services, defining data flows, failure paths, security controls, and measurable performance targets.
We build the functions, APIs, infrastructure as code, automated tests, and CI/CD pipelines, and configure permissions, secrets, logging, tracing, retries, queues, and failure handling before launch.
We test latency, concurrency, error handling, scaling behavior, and cost under realistic workloads, then tune memory, execution time, provisioned capacity, logging, and connected AWS services based on the results.
Work with senior AWS engineers without waiting through a lengthy hiring cycle.
Retain control of your code, data, infrastructure, and application outputs.
Infrastructure as code, CI/CD, least-privilege access, monitoring, and failure handling are designed into the application.
We recommend AWS Lambda where it fits and other AWS services where they offer a better technical or commercial outcome.
Move from proof of concept to production and ongoing managed services without changing delivery partners.
Serverless work often connects to broader delivery and modernization services:
The highest AWS partner tier, held since December 2024.
Generative AI, Migration and Modernization, Managed Service Provider, DevOps, Small and Medium Business, and Healthcare.
Backed by 200+ AWS certifications across the team.
Through our partnership with AWS, eligible companies may receive partial or full funding for an approved proof of concept, depending on projected AWS consumption and project scope. Eligibility is assessed during the discovery call.
We recommend containers or a hybrid AWS architecture when long-running or intensive workloads need them, rather than forcing serverless.
VP Engineering, QuickCart
Masterworks was locked into an expensive SaaS ML platform that pushed hosting fees sky-high, slowed model iteration, and risked vendor lock-in.
Avahi rebuilt the end-to-end pipeline on AWS, using Lambda functions to trigger Matillion ETL jobs, SageMaker training, and S3 updates, migrating 200 propensity models in just eight weeks.
Hosting and licensing spend reduced 75 percent
200 ML models migrated before contract renewal came due
Faster training and inference, improving campaign speed
Internal team enabled with detailed run-books for easy self-service
AWS Lambda is a serverless compute service that runs code without requiring your team to provision or manage servers. It handles infrastructure tasks such as capacity provisioning, scaling, server maintenance, and patching.
Serverless application development uses managed AWS services to run code, process events, expose APIs, and store data without requiring your team to maintain the underlying servers. AWS Lambda provides compute, while services such as Amazon API Gateway, EventBridge, DynamoDB, Amazon SQS, and AWS Step Functions support APIs and event-driven workflows.
Event-driven architecture connects services through events rather than tightly coupling every component. One service can publish an event when something happens, while other services process or route that event.
AWS Lambda provides managed runtimes for Node.js, Python, Java, .NET, and Ruby. Other languages, including Go and Rust, can be used through OS-only or custom runtimes. Functions can also be packaged as compatible container images.
Cold-start impact depends on factors such as the runtime, deployment package, initialization logic, and traffic pattern. We measure actual latency and can use Provisioned Concurrency or other optimization strategies for latency-sensitive functions.
AWS Lambda charges are generally based on the number of requests and compute duration, with memory allocation affecting the compute cost. The complete architecture may also incur costs from Provisioned Concurrency, Amazon API Gateway, logging, storage, data transfer, databases, and other connected AWS services.
