Software engineering
Microservices transformation
Microservices solve organizational scaling problems. They add operating cost. We help you decide whether the trade is worth it and, if so, how to split safely.
What organizations bring us
The usual failure is a distributed monolith: services that must be deployed together, share a database and fail together. It has all the cost of microservices and none of the benefit.
We start with the reasons: deployment contention, scaling hot spots, team independence. Then we find boundaries using the domain, move one service at a time and give each its own data. If a modular monolith meets the need, we say so.
What the platform covers
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Boundary discovery
Domain modeling workshops and code analysis to find seams.
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Data ownership
Each service owns its data. Plan for reporting, consistency and migration.
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Service contracts
APIs and events with versioning and consumer-driven tests.
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Event streaming
Kafka or managed equivalents for asynchronous communication.
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Resilience patterns
Timeouts, retries, circuit breakers, idempotency and bulkheads.
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Platform and observability
Kubernetes, CI/CD per service, tracing, metrics and logs.
Common use cases
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Checkout or billing needs to scale separately
Extract it with its own data store and queue.
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Teams block each other on releases
Split along team boundaries with clear contracts.
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Part of the code changes daily, the rest yearly
Move the active part out and leave the stable core alone.
A cautious path
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Clarify the goal
Which problem does splitting solve?
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Modularize first
Create clean module boundaries inside the monolith.
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Extract one service
Choose a low-risk, well-bounded capability.
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Build the platform alongside
Pipelines, service templates and observability.
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Repeat or stop
Continue only while each extraction pays back.
What you receive
- Domain map and boundary proposal
- Target architecture and platform plan
- Service templates
- Contract test suites
- Observability baseline
- Migration plan per service
Questions people ask
Do we need Kubernetes?
Not necessarily. Managed container or serverless platforms can run services with less operating effort. We compare options with your team’s skills.
How many services is right?
Fewer than you think. Start with a handful along clear boundaries.
Related
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Application modernization
Bring aging applications onto supportable platforms in steps, keeping the business running while behavior is preserved and verified.
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DevOps and platform engineering
CI/CD pipelines, infrastructure as code, Kubernetes, GitOps, observability and internal platforms that help engineering teams ship safely.
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Enterprise architecture
Target-state architecture, application and integration landscapes, data architecture and the principles that keep many teams building compatible things.
Have a technology challenge? Let’s work out the approach.
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