Infrastructure Implementation
Service Mesh Implementation
Control service-to-service communication through traffic policy, mTLS, telemetry, and resilience without burdening application code.
As microservices grow, service communication becomes harder to observe and protect. A service mesh provides a control layer for traffic, identity, telemetry, and application-network policy.
When this service is needed
- Microservices have complex communication patterns.
- Teams need consistent mTLS and service identity.
- Retries, timeouts, circuit breaking, and canary releases are inconsistent.
- Service dependencies and latency causes remain unclear.
Scope
- Service-mesh requirement and suitability assessment.
- Control plane, data plane, gateway, and failure-impact design.
- mTLS, service identity, authorisation policy, and certificate lifecycle.
- Traffic routing, retries, timeouts, circuit breaking, mirroring, and canary.
- Metrics, distributed tracing, service graphs, and dashboards.
- Phased adoption, resource-overhead management, and rollback strategy.
Implementation approach
- Assessment: establish the baseline, objectives, dependencies, and risks.
- Design: define architecture, acceptance criteria, and rollback plans.
- Implementation: introduce change through controlled checkpoints.
- Validation: test function, security, performance, and recoverability.
- Handover: deliver documentation, runbooks, and knowledge transfer.
Deliverables
- Baseline findings and documented design decisions.
- Configuration or automation artefacts included in scope.
- Test evidence and a register of remaining risks.
- Operations, maintenance, and recovery documentation.
Intended outcomes
Microservice communication becomes measurable, observable, and governed by consistent security and resilience policies.