The situation
Order-processing changes repeatedly force an entire product release.
Microservices Transformation
Microservices transformation separates selected application capabilities into independently changeable services. It also creates new contracts, failure modes and operating responsibilities that must be designed deliberately.
- Find useful service boundaries
- Design the transition
- Prove independent operation
Is this right for you?
When this is the right work.
Release coordination or uneven scaling is limiting a monolithic application, and you need to understand which boundaries are worth separating.
The first conversation establishes the environment, the constraint and who will accept the result. We agree a bounded starting point before expanding the engagement.
Scope
What DotConn delivers.
- 01
Find useful service boundaries
Map business capabilities, data ownership and the changes that currently require coordinated releases.
- 02
Design the transition
Define API or event contracts, compatibility, data movement and incremental routing between old and new components.
- 03
Prove independent operation
Test contracts, failure handling, observability and deployment before declaring a service independent.
Deliverables
What you receive.
Acceptance criteria identify the checks, records and handover needed for the agreed scope.
- Service-boundary and dependency map
- Incremental extraction plan and interface contracts
- Contract tests, telemetry and rollback approach
In practice
A practical example.
Our approach
We evaluate extracting that capability while documenting its data and upstream dependencies, rather than decomposing the whole application at once.
The useful result
Acceptance checks cover compatibility, traceability and the ability to reverse the transition.
Responsibility
Agree the responsibility.
DotConn
Assesses and delivers the technical work in the agreed scope, with reviewable changes and handover. Continuing operation requires a separately defined managed-service scope.
Your team
Provides authorized access, business priorities and accountable decision-makers; approves policy choices and accepts the agreed result.
Set this boundary early
More services do not automatically improve a system. A modular monolith can be the better answer when independent operation would add unjustified complexity.
FAQ
Questions worth resolving.
Technical reading
Can we transform incrementally?
Yes, where application seams and data constraints allow it. The engagement should define an extraction sequence and compatibility period instead of assuming a single rewrite.
Pricing, timing and how to prepare are covered in working with DotConn.
Connected work
Services that work alongside this.
AWS & Google Cloud Migration
Cloud migration moves applications, data and dependencies into a target cloud environment. The important decision is what to move, what to change and what the operating team will need afterwards.
ExploreKubernetes Consulting & Implementation
Kubernetes orchestrates containerized workloads using a declared desired state. Choosing Kubernetes is also a decision about deployment, identity, networking, storage and the team that will operate the platform.
ExploreMonitoring & Observability
Observability uses signals such as metrics, logs and traces to help explain system behavior. Monitoring turns selected conditions into checks and actionable alerts.
ExploreAWS Migration
An AWS migration transfers selected workloads into an AWS environment with the account, networking, identity and operating foundations they need.
Explore