Your team split the monolith into twelve services and now everything is harder. What used to be a function call is now a network request that can fail. Debugging a user complaint means tracing requests across five services. Data that used to live in one database is scattered across six, and keeping it consistent feels impossible. You moved to microservices for agility, but your team is spending more time fighting infrastructure than shipping features.
I have guided teams through monolith decomposition, designed service boundaries that actually reduce coupling, and implemented distributed data patterns that maintain consistency without distributed transactions. The problems you are facing are not unique — they are the predictable consequences of service boundaries drawn in the wrong place. I can help you identify where the boundaries should be, fix the communication patterns that are causing pain, and get your team back to building product instead of debugging infrastructure.
Common Pain Points
You know the monolith needs to be broken up, but where do you cut? Extracting the wrong service first creates more coupling, not less. Without a clear domain understanding, you end up with a distributed monolith — all the complexity of microservices with none of the benefits.
Your services cannot be deployed independently. Changing one service requires coordinated changes in three others. Shared databases, synchronous call chains, and leaked domain concepts mean you built distributed code, not independent services.
An order was created but payment was not recorded. A user's profile was updated in one service but the old data shows in another. Without a proper distributed data strategy, partial failures leave your system in inconsistent states that are painful to detect and fix.
Every request fans out into dozens of inter-service calls. Latency adds up, timeout settings are wrong, and one slow service cascades failures across the entire system. Your p99 latency is dominated by network hops, not business logic.
Unit tests pass but integration tests are flaky. Setting up a local environment with all dependencies running is nearly impossible. Contract testing is not in place, so API changes break consumers in production instead of in CI.
Deploying one feature requires releasing four services in the right order. Rollback affects the wrong version of a downstream service. Your release process has become a coordination nightmare that slows down delivery instead of enabling it.
How We Help
We work through your domain together to identify natural service boundaries using bounded context analysis. The goal is services that are independently deployable and own their data — not just smaller pieces of the same coupled system.
Synchronous REST calls are not always the answer. I help you choose between sync and async patterns, design event-driven flows where they make sense, and implement circuit breakers and bulkheads to prevent cascade failures.
Distributed transactions are rarely the right answer. I help you implement saga patterns, event sourcing, and eventual consistency strategies that maintain data integrity without two-phase commits.
Moving from a monolith to microservices is a multi-phase journey, not a big-bang rewrite. I help you plan the extraction sequence, set up strangler fig patterns, and execute the migration incrementally with minimal risk.
Real Scenarios
Your monolith has grown unwieldy and you need a migration plan that does not stop feature development. We identify the first services to extract, set up the strangler pattern, and plan the data migration strategy.
Your synchronous call chains are causing cascade failures and tight coupling. We design an event-driven architecture that decouples services while maintaining the data consistency your business requires.
Your business operations span multiple services and you need them to be consistent. We design and implement saga patterns — orchestrated or choreographed — with proper compensating actions for failure scenarios.
As your service count grows, managing traffic policies, mTLS, retries, and observability at the application level becomes unsustainable. We evaluate and set up a service mesh that handles cross-cutting concerns at the infrastructure layer.
Who This Is For
You have a monolith that needs to be decomposed and you want to avoid the common pitfalls — wrong service boundaries, distributed monolith, and data consistency nightmares.
You already have microservices but they are not giving you the independence you expected. Deployments are coordinated, data is shared, and every change ripples across services.
You are starting fresh and want to get the service decomposition, communication patterns, and data ownership right from the beginning instead of fixing it later.
Your microservices worked at small scale but are breaking under growth. You need to rethink communication patterns, add resilience, and improve observability across services.
Pricing
Single consultation sessions, multi-session packs, and engagement packages available. See all pricing options on our Work Assistance page.
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