Microservices for Applications That Have Outgrown Their Monolith

DORA found that elite teams deploy 973x more frequently, and microservices enable this by letting teams deploy, scale, and update services independently. We design microservice architectures that decompose your monolith along domain boundaries with clear API contracts, independent databases, and automated service discovery.

973x

more frequent deployments by elite teams, enabled by microservice architectures that allow independent service deployment without coordinating releases

DORA State of DevOps

Microservices Architecture

Microservice architecture design with domain-driven decomposition, API contracts, independent databases, service discovery, and container orchestration.

What's Included

Everything you get with our Microservices Architecture

Domain-Driven Decomposition

Service boundary design based on business domains with clear ownership, API contracts between services, and data isolation strategies for each service

Service Implementation and Communication

Service implementations with REST or gRPC inter-service communication, message queues for async operations, and circuit breakers for fault tolerance

Container Orchestration and Deployment

Docker containers, Kubernetes or ECS orchestration, service discovery, health checks, and independent CI/CD pipelines per service

Our Microservices Architecture Process

1

Domain Analysis and Decomposition

We analyze your business domains, identify service boundaries, define API contracts between services, and plan data ownership. We use event storming to ensure boundaries align with business capabilities.

2

Service Implementation

We build each service with its own codebase, database, and CI/CD pipeline. Inter-service communication is implemented with REST or gRPC for synchronous calls and message queues for async operations.

3

Infrastructure and Orchestration

We containerize services with Docker, configure orchestration with Kubernetes or ECS, set up service discovery, health checks, and centralized logging across all services.

4

Migration and Cutover

For monolith-to-microservices migrations, we extract services incrementally using the strangler fig pattern: new features are built as services while existing features are extracted one at a time.

Key Benefits

Independent deployment and scaling

Deploy the payment service without touching the user service. Scale the search service independently when traffic spikes. Each service has its own CI/CD pipeline, its own deployment schedule, and its own scaling policy.

Team autonomy with clear boundaries

Each team owns a service with clear API contracts. Teams make technology choices, deployment decisions, and architecture changes within their service without coordinating with every other team.

Fault isolation

A bug in the notification service does not crash the checkout service. Circuit breakers detect failing services and route around them. The application continues functioning in a degraded mode rather than failing completely.

Research & Evidence

Backed by industry research and proven results

State of DevOps Report

Elite teams deploy 973x more frequently, and microservices enable independent deployment of individual services without coordinating cross-team releases

DORA (2022)

The Developer Coefficient

42% of developer time goes to technical debt, and monolithic codebases accumulate debt faster because every change risks breaking unrelated features

Stripe (2018)

Frequently Asked Questions

When should we move to microservices?

When you have multiple teams that need to deploy independently, when a single bottleneck service needs different scaling than the rest, or when your monolith deployment is so risky that releases happen infrequently. If you have a small team and a single product, a well-structured monolith is simpler and faster.

How do you handle data consistency across services?

Each service owns its data. For operations that span services, we use the saga pattern: a sequence of local transactions with compensating actions if any step fails. For data that services need to share, we use event-driven synchronization rather than shared databases.

Is Kubernetes required?

No. For small numbers of services, AWS ECS or even simple container deployment is simpler and cheaper than Kubernetes. Kubernetes becomes valuable at 10+ services where its orchestration, service discovery, and scaling capabilities justify the operational complexity. We recommend based on your service count and team capacity.

How long does a microservices migration take?

Extracting the first service from a monolith takes 4 to 8 weeks. Each subsequent service typically takes 2 to 4 weeks as patterns are established. A complete migration of a medium monolith into 5 to 8 services takes 3 to 6 months with incremental delivery.

Decompose Your Monolith Into Services That Scale Independently

Tell us about your monolith's pain points. We will design the service boundaries and migration plan that solves them.