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Backend & Infrastructure
Backend and infrastructure for complex systems
We design APIs, data, integrations and production operations for systems that must handle growth, failures and business change.
Starting context
- New APIs and backend services
- Legacy architecture modernization
First working scope
- Architecture review and risk map
- Service, API and data boundaries
Production control
- API and integrations
- data architecture
The boundary adapts to your existing team, data and infrastructure.
When this becomes a business problem.
As a product grows, problems surface in connected data, fragile integrations, slow releases and missing observability. Scaling starts with the real bottleneck instead of adding technologies by default.
When this direction is worth considering.
- Products with growing load
- Teams modernizing a legacy backend
- Systems with many integrations
- Companies with cloud/on-premise requirements
Scenarios that can become the first release.
Legacy architecture modernization
Payments, integrations and messaging
Billing, subscriptions and payment flows
Data platforms and reporting
High load and reliability
Cloud, private cloud and on-premise
What you receive at launch.
The exact boundary is agreed after reviewing your current process, data and constraints.
- Architecture review and risk map
- Service, API and data boundaries
- Reliable integrations and failure handling
- CI/CD, observability and recovery plan
- Documentation and migration plan
How we reduce delivery risk.
Measure the problem
Review load, failures and change velocity.
Choose the boundary
Avoid rewrites without a proven reason.
Migrate in stages
Preserve working paths and reversibility.
Verify operations
Test observability and recovery.
Engineering control
Technology validates the architecture
Go, Python, PostgreSQL, Redis, messaging, containers and cloud are used where they address a specific system constraint.
API and integrations
data architecture
messaging
observability
cloud/on-premise infrastructure
Questions before the first conversation.
Does the legacy system need a complete rewrite?
Not necessarily. We first identify bottlenecks and boundaries that can be safely separated or replaced.
Do you work with high-load systems?
Yes, with decisions based on measured load, request profiles and availability requirements.
Can you work in our infrastructure?
Yes. Access, security and the responsibility model are agreed before changes begin.
Has the system become slow, fragile or expensive to change?
Describe the symptoms, load and current infrastructure. We will start with a technical review, not a rewrite promise.