Microservices
Decompose monoliths into independently deployable services that scale, fail gracefully, and evolve without coordinating every release.
Microservices
Decompose monoliths into independently deployable services that scale, fail gracefully, and evolve without coordinating every release.
Microservices
Decompose monoliths into independently deployable services that scale, fail gracefully, and evolve without coordinating every release.
Microservices
Monoliths do not fail all at once. They slow down all at once.
A monolithic application starts as a pragmatic choice. Over time, it becomes a coordination problem. Every change requires understanding the whole system. Every deployment is a risk. Every team waits for every other team. Microservices decompose that complexity into bounded, independently deployable units. Each service owns its domain, its data, and its deployment lifecycle.
Benefits of Microservices
Independent scalability
Scale the services that need it, not the entire application. Resource allocation follows actual demand.
Deployment independence
Teams deploy their services on their own schedule. No release coordination, no deployment freezes.
Technology flexibility
Each service chooses the right language and runtime for its job. No organisation-wide technology lock-in.
Fault isolation
A failing service does not take down the application. Circuit breakers and fallbacks contain the blast radius.
Team autonomy
Small teams own small services end to end. Faster decisions, clearer ownership, less coordination overhead.
Incremental modernisation
Extract services from a monolith one at a time using the strangler fig pattern. No big-bang rewrite required.
Where our experts help
Microservices offer many advantages, but also challenges.
Here is our answer to each of them.
Service orchestration
Distributed services need coordination. We design service meshes, API gateways, and event buses that manage communication without tight coupling.
We take care of it.
Data consistency
Each service owns its data. We implement saga patterns and event sourcing to maintain consistency across service boundaries without distributed transactions.
But we have solved this countless times before.
Observability
Distributed systems are harder to debug. We instrument every service with distributed tracing, structured logging, and health endpoints from day one.
This is where our experience pays off.
Security
More services mean more attack surface. We implement zero-trust networking, mutual TLS, and fine-grained IAM policies across the service mesh.
We know exactly how to do this.
Monitoring and Maintenance
Effective monitoring, maintenance, and debugging logs are essential for your microservices to run as expected. We set up CloudWatch, Prometheus, and Grafana for full observability.
And we are happy to help.
Key concepts of microservices architecture
Microservices are more than a deployment decision. They require an interplay of proven architectural patterns that Tallence applies in every engagement.
Domain-Driven Design (DDD)
Microservices are cut along business boundaries, not technical ones. Domain-Driven Design provides the tool: Bounded Contexts define where one service ends and the next begins. This prevents tight coupling and keeps services maintainable long-term.
API Gateway
An API Gateway is the single entry point for external clients. It handles authentication, rate limiting, routing, and protocol translation, so individual services do not need to implement these cross-cutting concerns themselves.
Service Mesh
A service mesh like AWS App Mesh or Istio manages communication between services: mutual TLS, retry logic, circuit breakers, and observability are provided at the infrastructure level without changing application code.
Event Sourcing & CQRS
Event Sourcing stores the state of an application as a sequence of events rather than a current snapshot. CQRS separates read and write models. Together they enable consistent data across service boundaries without distributed transactions.
Saga Pattern
When a business transaction spans multiple services, the Saga pattern coordinates the steps and defines compensating actions for failure cases. Data consistency is maintained without needing a central transaction coordinator.
Strangler Fig Pattern
The incremental path out of the monolith: new functionality is built as a separate microservice. The monolith shrinks over time as the new system grows. No risky big-bang rewrite, no operational downtime.
FAQ
Frequently Asked Questions
Everything you need to know about microservices architecture and our services.
Still have questions? We are happy to advise you. →How do we know if microservices are right for us?
Microservices make sense when your monolith is causing deployment bottlenecks, when different parts of the system have different scaling requirements, or when multiple teams are working on the same codebase and slowing each other down. They add operational complexity, so the benefits need to outweigh the costs.
What is the strangler fig pattern?
The strangler fig pattern extracts functionality from a monolith incrementally. New features are built as separate services. Existing functionality is migrated service by service. The monolith shrinks over time without a risky big-bang rewrite.
How do microservices communicate with each other?
Synchronous communication uses REST or gRPC for request-response interactions. Asynchronous communication uses message queues or event streams for decoupled, resilient data flows. We design the communication pattern based on the consistency and latency requirements of each interaction.
What is a service mesh and do we need one?
A service mesh manages service-to-service communication, including load balancing, circuit breaking, mutual TLS, and observability. AWS App Mesh and Istio are common options. For smaller deployments, API Gateway and ALB often provide sufficient control without the operational overhead of a full mesh.
Contact
Is your monolith slowing your teams down?
We assess your architecture and design a decomposition strategy that reduces risk at every step.
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