Microservices
Microservices is the architecture pattern we use when teams need to scale independently, deploy faster, and isolate failures across product surfaces.
Microservices that match your team and product
We design microservices architectures that match team structure and product needs, not Conway's Law in reverse. Useful when monoliths slow teams down, when scaling needs differ across services, or when failure isolation matters.
Architecture, not framework
Microservices fit when teams scale faster than a monolith allows, when different parts of the product have different scaling needs, or when failure isolation matters. We help teams figure out when microservices are the right answer and when they are overkill.
Independent deploys, independent scaling
Different services scale at different rates. Payment processing might need ten times the capacity of user profiles. Microservices let us scale where it matters and keep costs low everywhere else.
Service boundaries that make sense
Most microservices failures come from bad service boundaries. We split by business capability, data ownership, and team boundaries, not by technical layers. Result: services that can evolve independently without coordinating every change.
Communication patterns that scale
Distributed systems need distributed observability. We design tracing, metrics, and structured logging from day one so that debugging a request that crosses five services is actually possible. Without this, microservices become a nightmare to operate.
Faster releases, smaller blast radius
Independent services mean independent deployments. Teams ship features without coordinating across the entire codebase. When something breaks, only the affected service goes down, not the entire product.
Observability built in, not bolted on
We instrument services with distributed tracing, structured logs, and proper metrics from day one. The kind of observability that makes 3 AM incidents survivable, not a guessing game across service boundaries.
Pragmatic, not dogmatic
We have built microservices architectures for fintech APIs, e-commerce platforms, and SaaS products. Connexease's micro-frontend setup cut their cloud cost by 72% by splitting a monolith into the right services. Real production work, not architectural diagrams.
Frequently Asked Questions
Common questions before working with us.
Should we move from a monolith to microservices?
Are microservices always better than a monolith?
How do you choose between synchronous and asynchronous communication?
