Development · Build
We design service boundaries around business capabilities and data ownership, and we will say when a well-structured single application is the better answer. The decision rests on whether independent deployment, separate scaling or team autonomy is a real constraint today, not on fashion. Where the case holds, we define each service around the data it owns, choose synchronous or event-driven communication per interaction, and handle eventual consistency explicitly. Where it does not, we say so plainly, because a premature split costs more than it returns.
In short
Microservices development splits an application into independently deployable services — and is only worth doing where the boundaries are real. The distributed complexity it adds is a genuine cost that has to be repaid by independent deployment, scaling or team autonomy.
Start a conversationWhat we do
We define services around business capabilities and the data each one owns, so changes stay local. When a service owns its data outright, a change inside it does not ripple through the rest of the system. Boundaries drawn around capabilities rather than convenience are what make the split pay rather than merely distribute the mess.
We choose synchronous and event-driven communication per interaction, and handle eventual consistency explicitly. Request-response suits a lookup that needs an answer now; events suit propagation that can tolerate a short delay. Deciding this per interaction, and designing for the window where data is briefly out of step, avoids the subtle bugs that distributed systems otherwise hide.
We extract services incrementally behind stable interfaces, keeping the system releasable throughout. Nothing is taken offline for a big-bang rewrite; each service is carved out while the whole continues to work. That keeps the business running and lets the migration be paused or reversed if priorities change.
We add tracing, correlation and service-level indicators so a request can be followed across services. Once work is spread across services, a single request becomes hard to follow without this, and faults become guesswork. Correlated tracing lets you see the whole path a request took and where it actually slowed or failed.
What you receive
Documented output your teams keep and can act on without us in the room.
When this work helps
How an engagement runs
Understand the outcome, users, constraints, and the decisions that must be made before code direction is set. We spend this time with the people who own the result and the people who will build it, so scope reflects both.
Examine the current architecture, delivery practice, integration surface, and engineering risk. We establish where the genuine difficulty lies, rather than accepting the risk the team already happens to worry about most.
Define the technical approach, delivery plan, quality gates, and ownership model in writing. Committing it to writing means the reasoning behind each decision survives staff change and supplier handover.
Work with your teams through build and release, adjusting the plan as evidence emerges rather than defending the original estimate. We keep the quality gates and progress evidence in place so leadership can watch the build land.
Where we work
Fidova provides software development consulting from Delhi, India, and works with product and engineering teams internationally — across India, Asia-Pacific, the Middle East, Europe, the UK, and North America — remotely, with on-site time where the work needs it.
Engagements run in English, are scheduled around your time zone, and can be delivered remotely end to end, with on-site time planned where a phase genuinely benefits from being in the room.
Related services
Legacy system modernization moves an ageing but business-critical system to a supportable state without stopping the business that depends on it. The constraint is that the old system usually cannot be switched off while its replacement is built.
Software product engineering is sustained engineering ownership of a product: discovery, delivery, quality and the roadmap behind it. Unlike a project, it does not end at launch; it is an ongoing capability with a cadence and a standard to hold.
Database design and development covers the data model, indexing, performance, integrity and recovery arrangements behind an application. The data usually outlives the application that was built on it, which is why the model deserves care.
Questions
Straight answers to what buyers ask us before an engagement begins.
Enquiries
Your enquiry lands in the same inbox as every other on this site and is read by us. Tell us the requirement and we will reply with a practical next step.
Prefer email? contact@fidovaadvisory.com
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