Scalable Distributed Systems
Move beyond the complexity of monolithic constraints. Our microservices engineering services help you build modular, independent, and resilient applications that leverage the full power of sovereign cloud orchestration.
The Microservices Journey
Engineering for Resilience and Autonomy
Microservices are not just a design pattern; they are an organizational shift toward autonomy. In a monolithic environment, a single failure can bring down the entire system. With OmniGCloud's microservices approach, we isolate components into sovereign units of execution, ensuring that failure is localized and the system remains self-healing.
Our architectural methodology focuses on Domain-Driven Design (DDD). We map your business capabilities to bounded contexts, identifying the natural fault lines where a monolith should be split. This prevents the common trap of creating a "distributed monolith" where services remain tightly coupled via synchronous dependencies.
Domain Discovery
Identify bounded contexts and core business domains to inform service boundaries.
API Gateway & Mesh
Secure communication and observability with managed Envoy and Istio integrations.
Polyglot Persistence
Select the right database for the right service—from PosgreSQL to high-speed Redis.
Microservices Implementation Framework
1. Loose Coupling & High Cohesion
Services must be able to evolve and deploy independently. We enforce loose coupling through asynchronous messaging patterns using Kafka or NATS, preventing cascading failures and allowing individual teams to move at their own velocity without constant cross-team coordination.
2. Observability by Default
You cannot manage what you cannot see. Every microservice we build includes native distributed tracing (OpenTelemetry), structured logging, and Prometheus metrics. This allows your Ops team to visualize the entire request flow across dozens of services in real-time.
3. Automated CI/CD for Polyglot Teams
Whether your team uses Go, Java, or Rust, our platform engineering provides a standardized deployment path. We containerize every service and use GitOps to ensure that the actual state of your cluster always matches the desired state defined in your repository.
Microservices FAQ
When should we stick with a monolith instead of microservices?
Unless you have a team of 15+ engineers or significant scaling/deployment bottlenecks, a 'modular monolith' might be better. We provide an assessment to determine your 'Microservices Readiness Score' before recommending a migration.
How do you handle data consistency across services?
We leverage the Saga pattern and event sourcing to ensure eventual consistency. We avoid distributed transactions (2PC) as they introduce significant latency and coupling.
Do microservices increase cloud costs?
Initially, yes, due to overhead. However, they allow for 'Precision Scaling' where you only scale the specific service that is under load, often leading to 30-50% savings compared to scaling a massive monolith.
What service mesh do you recommend?
For most enterprises on Kubernetes, we recommend Istio or Linkerd. If you are on a sovereign cloud like RedHat OpenShift, we utilize the native OpenShift Service Mesh.