Engineering & Platforms
Microservices Architecture
Design and implementation of microservices where independent deployment and scaling are genuinely needed, including service boundaries, event-driven communication, data ownership and the platform required to operate them.
Capability overview
What microservices architecture involves
Microservices let teams develop, deploy and scale parts of a system independently, which matters for large products with many teams. They also introduce distributed system problems: network failures, eventual consistency, debugging across services and significant platform overhead. Adopting them without clear need often creates a distributed monolith that is harder to change than the original.
We start by asking whether a modular monolith would meet the goals. When microservices are justified, boundaries follow business domains using domain-driven design, each service owns its data, communication favours asynchronous events for loose coupling, and teams receive the platform support they need: pipelines, observability, service discovery and resilience patterns.

What is included
Architecture elements
Domain decomposition
Bounded contexts identified through event storming workshops, defining services around business capabilities.
Communication patterns
Synchronous APIs used sparingly, with event streaming through Kafka or cloud messaging for most inter-service updates.
Data ownership
Database per service, with patterns such as outbox, sagas and read models to manage consistency.
Resilience
Timeouts, retries with backoff, circuit breakers and bulkheads that stop failures spreading between services.
Operational platform
Container orchestration, distributed tracing, centralised logging and automated deployment for each service.
How we work
How we deliver microservices architecture
Fitness assessment
Team structure, scaling needs and change patterns reviewed to confirm microservices are appropriate.
Event storming
Business experts and engineers map domain events to discover natural service boundaries.
Target architecture
Services, contracts, data ownership and platform components documented.
Incremental extraction
Services extracted from an existing monolith one at a time using the strangler pattern.
Operational maturity
Observability, on-call ownership and service level objectives established per service.
Related capabilities
Related capabilities in Software & Product Engineering
Database Design & Development
Relational and NoSQL database design, query optimisation, stored procedures, migrations and data modelling for applications, so data stays correct, fast to query and ready for reporting as volumes grow.
Systems Integration
Connecting custom-built software to the external systems it depends on, such as payment and GST systems, identity and KYC services, IoT devices, logistics providers and partner platforms, with reliable error handling.
Application Modernization
Engineering work that upgrades existing applications without starting over, such as moving from .NET Framework to modern .NET, AngularJS to React, old Java or PHP versions to supported releases, and monoliths to modular designs.
Legacy Application Migration
Moving applications and their data from old platforms, servers or hosting environments to new ones, such as on-premises to cloud, old databases to current versions or retired platforms to supported equivalents, with minimal downtime.
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Where this applies
Healthcare & Life Sciences
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Manufacturing & Industrial
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Banking, Financial Services & Insurance
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E-Commerce
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Questions & answers
Questions about Microservices Architecture
Cannot find what you need? Our team responds to technical and commercial questions within one business day.
Ask a questionRarely at the beginning. A well-structured monolith lets small teams move faster. Clear module boundaries make it possible to extract services later when growth justifies it.
A system split into services that still must be deployed together because they share databases or depend on synchronous calls in fixed sequences. It has the costs of microservices without the benefits.
Through patterns such as sagas, which coordinate a series of local transactions with compensating actions if a step fails, accepting eventual consistency instead of distributed locks.
Assessments and architecture design are fixed price. Implementation or extraction of services is delivered in phases or by a dedicated team.
Next step
Discuss microservices architecture with Acmez
Share what you need to change, build, integrate or support. We will map the practical next step.