Architecture & system design
Define functional and operational requirements, service boundaries, data models and architecture suited to scale and complexity.
From architecture and code to deployment and operation.
We begin system design with business workflows, user needs and operational constraints. We define the architecture, data model, service boundaries and API contracts, then develop the software incrementally. Modular or microservice architectures are selected to fit the problem and the team’s operational capacity.
Development and deployment are part of the same discipline. Testing, security, observability, configuration management and rollback are considered from the start. Software can run on-premise, in the cloud or across hybrid infrastructure, with API Gateway, SSO and integrations into existing organizational systems.
Define functional and operational requirements, service boundaries, data models and architecture suited to scale and complexity.
Implement backend services, APIs and internal tools with testing, documentation and long-term maintainability.
Package with Docker and use Kubernetes when orchestration and deployment requirements justify it.
Build CI/CD pipelines for tests, builds, checks and controlled releases across development, staging and production.
Manage API traffic, centralized authentication and role- or policy-based authorization.
Connect cloud and on-premise services securely and integrate CRM and operational systems.
Build internal tools and approval workflows with low-code platforms, adding custom integrations where needed.
Establish logs, metrics, traces, alerts and runbooks for troubleshooting and incident response.
Connect network operations, customer data and intelligent support.
Make customer information useful at every point of contact.
Build dependable data and administrative workflows around sensitive information.
Connect people, systems and approvals across your organization.
Bring operational, service and customer data into a coherent system.
A controlled path from requirements to a monitored production system, on-premise, in the cloud or across hybrid infrastructure.
Agree requirements, capacity, security constraints and acceptance criteria; design the architecture and environments.
Keep source in version control and integrate automated tests, review and dependency checks into development.
Produce versioned packages or images and manage configuration, secrets and access separately from source code.
Validate integration, performance and acceptance scenarios; plan data migrations and rollback before release.
Deploy through CI/CD with required approvals, health checks and a release strategy suited to the service.
Monitor logs, metrics and alerts, then hand over documentation, runbooks and operating knowledge to your team.
An agreed architecture, a validated implementation, documented integrations and an operational handover. Scope, acceptance criteria and security requirements are defined together at the start.