Scope, cost and AI readiness, before any migration starts.
Applications mapped
Risk scored
Phased plan
Price fixed
Microservices
Microservices design and AWS Lambda migration.
Design, development and refactoring built on loose coupling and the 12-Factor approach, with Golang starter kits and a tooled path from ECS to Lambda.
- Fixed-price assessment first
- Every change engineer-signed
- AceMQ 24/7 after go-live
Modernization assessment
Fixed priceProjected after migration
RuntimeWebLogic 12cTomcat 10
LanguageJava 8Java 21
FrameworkEJB 3Spring Boot 3
DatabaseOraclePostgreSQL
The short answer
Microservices split an application into small services with clear boundaries that deploy independently. We design, build and refactor them using loose coupling and the 12-Factor approach, and migrate existing services from Amazon ECS to AWS Lambda in stages, with Golang starter kits for new work.
On this page
AWS
Docker
Java
Python
Spring Boot- AWS
- Docker
- Java
- Python
- Spring Boot
Design
What makes a microservice maintainable
We specialize in e-commerce services: customers, carts, orders, returns, payments and accounting. Golang starter kits let you run Go code in Docker containers or as Lambda functions from day one.
- Loose coupling and clear boundaries around a business capability.
- Configuration kept out of code.
- Stateless processes.
- Independent deployment.
Lambda
Moving from ECS to AWS Lambda
Step 01 of 04
Plan
Plan around Lambda limits and your reasons for leaving ECS.
Step 02 of 04
Convert
Our tooling parses code and generates Lambda handlers, templates and API Gateway definitions.
Step 03 of 04
Redesign
Review for dependency injection, GOQU-based SQL and removal of tight coupling.
Step 04 of 04
Harden
Add tracing and move configuration to AWS Secrets Manager.
Limits
When Lambda is the wrong choice
Functions time out after 15 minutes, cold starts add latency after idle time and steady high-volume traffic can cost more than containers. Services that hold state in memory or keep long-lived connections need redesign first. A good plan decides which services move and which stay on ECS.
How every engagement runs
AI drafts. Engineers decide.
Three phases, the same on every stack. Each one ends with something you can hold us to.
AI-assisted, engineer-verified, one capability at a time.
- import javax.persistence.Entity;+ import jakarta.persistence.Entity;- @Stateless+ @Service
AI draftEngineer approved
AceMQ engineers support the new stack from day one.
On call: the team that ran the migration
- Test before you touch
- AI drafts, engineers decide
- Strangle, don’t big-bang
- Every step is reversible
- Measure before and after
- Open targets, no new lock-in
- Fixed scope before fixed price
- Plan the run before the cutover
Approach
Migrate one service at a time
Put API Gateway in front of existing services, move one microservice to Lambda, verify it and route traffic. The rest stay on ECS until their turn. Tracing added during migration shows whether each moved service performs as well as before.
Modernization
Microservices in a modernization program
Breaking up a monolith is a modernization decision, not a default. Some systems are better upgraded in place. We assess the application first and extract services only where boundaries are clear. See application modernization services and the method.
Runtimes
Runtimes and data stores
Lambda supports Go, Java, Node.js, Python and other runtimes, and the runtime affects cold-start time and cost. Compiled Go binaries start fast. Java services, including Spring Boot applications, usually need tuning to start quickly.
For data, serverless services often pair Lambda with DynamoDB for key-value access or Aurora Serverless v2 for relational work. Lambda scales automatically, but downstream databases and APIs still have to cope with the concurrency it creates.
Customers
Partners
Proof
Delivered by the AceMQ engineering team.
IBM MQ → RabbitMQ
Phased migration with legacy code refactoring
Legacy messaging replaced in phases while the applications calling it were refactored. No big-bang cutover.
American NationalDelivered by the AceMQ engineering team
1,000+ apps
Spring and Java applications upgraded in 24 hours
A deterministic Spring upgrade process, run through Broadcom’s commercial Spring support, in a single 24-hour window.
Global financial institutionDelivered by the AceMQ engineering team
IBM MQ out
Proprietary messaging displaced
IBM MQ displaced with an open-source messaging stack, supported by AceMQ.
Global technology enterpriseDelivered by the AceMQ engineering team
After go-live
Keep it running after cutover.
Four stages: plan, automated conversion, redesign for best practice and secure SQL, then tracing and centralized configuration.
Templates for running Go services in Docker containers or as Lambda functions.
Lambda can run container images, but the code must still follow its event-driven handler model.
Yes, and that is usually safest, one service at a time behind API Gateway.
Some consolidate services split too finely. The ideas of loose coupling and clear boundaries still hold.
Start here
Know the cost before anything moves.
A fixed-price assessment gives you the inventory, the risk score and a phased plan. Scope and cost are fixed before the migration starts.
- InventoryEvery application, its stack and what it depends on.
- Risk scoreWhere a change is likely to break, ranked.
- Phased planWhat moves first, which tools lead, and the fixed price.
Get in touch
Talk to a modernization engineer
Tell us what you run today. An engineer, not a sales script, replies within one business day.