Microservices Architectures
Independent Service Boundaries|Owned Data and Contracts|.NET Systems That Evolve
Sphere 10 designs .NET services that can be changed and operated independently where the business benefits justify that separation. We define service responsibilities, data ownership and integration contracts together, so deployment independence does not become a collection of tightly coupled network calls and shared database assumptions.
Find Boundaries That Can Stand on Their Own
We examine business capabilities, change frequency, scaling needs and team ownership. A service boundary should contain a coherent responsibility and an authority to change its data. We trace important journeys across the proposed boundaries, identifying where immediate consistency is required and where a visible pending state is acceptable.
For an existing application, we can extract a defined capability incrementally behind an interface. The migration specifies how old and new paths coexist, how records move and how a release can be recovered. This keeps the transition tied to a working business operation with measurable acceptance criteria.
Make Every Service Complete at Its Boundary
C# and ASP.NET Core provide service hosts and HTTP interfaces; background workers handle asynchronous operations where appropriate. Sphere10 Framework supplies application composition, logging and data-access mechanisms within each process. IDAC and DACScope establish local database transaction ownership, while cross-service completion is implemented through explicit workflow and compensation rules.
Our published Sphere10 architecture model separates presentation, processing, data and communications responsibilities. We apply those responsibilities inside each service and define its external contract separately. Shared libraries contain reusable mechanisms; versioned APIs and messages carry the business interaction between independently released components.
Prove Independent Change and Partial Failure
Acceptance includes deploying a service version without rebuilding unrelated services, exercising contract compatibility and taking a dependency offline. We test duplicated requests and operations that fail after a remote step has completed. Performance checks include network latency and downstream capacity, so one apparently healthy endpoint cannot conceal an overloaded dependency.
Handover covers contracts, deployment order, data migrations and failure recovery. Your team receives source and an operating model that identifies who owns each service and how shared incidents are investigated. Further extraction or consolidation follows measured needs, with the delivered boundaries serving as a maintained architectural baseline.
Platforms & Tooling
.NET C# ASP.NET Core Sphere10 Framework RabbitMQ Docker SQL Server OpenTelemetry
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