Domain & service architecture
Domain-driven design, bounded contexts, service contracts, data ownership, context maps, dependency analysis, modular-monolith assessment, strangler patterns, and evolutionary decomposition.
Microservices solutions & support
Decompose deliberately.
Operate reliably.
Domain-driven architecture, API and event integration, Kubernetes and serverless platforms, Zero Trust service communication, OpenTelemetry, DevSecOps, SRE, modernization, and L2/L3 production support.
Architecture through operations
Modern services designed around business boundaries and production reality.
Innovative BI helps teams decide where microservices create value and where a modular monolith is the safer choice. We map business capabilities, bounded contexts, data ownership, transactional boundaries, latency, availability, security, deployment independence, and team topology before selecting a decomposition pattern.
Delivery spans strangler-pattern modernization, service extraction, API-first and event-driven design, container and serverless platforms, automated delivery, service networking, observability, resilience engineering, operational transition, and sustained support across AWS, Azure, and hybrid environments.
Microservices capability stack
Every service is engineered as a secure, observable product.
Architecture decisions are tied to measurable service objectives, failure modes, recovery behavior, ownership, deployment controls, supply-chain evidence, and total operating cost.
API, MCP & integration engineering
REST, gRPC, OpenAPI, Model Context Protocol gateways where justified, versioning, OAuth 2.0/OIDC, JWT validation, quotas, idempotency, contract testing, and developer portals.
Event-driven systems
Kafka, Amazon MSK, EventBridge, SNS/SQS, Azure Service Bus, event schemas, outbox and saga patterns, ordering, replay, deduplication, dead-letter handling, and eventual consistency.
Containers & serverless
Amazon EKS, ECS, Fargate and Lambda; Azure AKS, Container Apps and Functions; OpenShift; OCI images, Helm, autoscaling, probes, disruption controls, workload identity, and progressive delivery.
Secure-by-design services
Service identity, mutual TLS, least privilege, ABAC/RBAC, network policy, secrets rotation, encryption, API threat controls, signed artifacts, provenance, SBOMs, and vulnerability response.
Reliability & observability
OpenTelemetry traces, metrics and logs; correlation IDs, service maps, SLI/SLOs, error budgets, capacity, circuit breakers, timeouts, retries with jitter, bulkheads, chaos testing, and runbooks.
Platform patterns
Cloud-native implementation without platform lock-in by default.
The final pattern follows workload needs, security boundaries, existing investments, skills, portability requirements, and the operational model the customer can sustain.
AWS
AWS service architecture
- EKS, ECS, Fargate, Lambda, API Gateway, EventBridge, SNS/SQS, Amazon MSK, and Step Functions
- VPC Lattice for governed service connectivity, discovery, authorization, and monitoring across VPCs and accounts
- IAM roles for workloads, private networking, KMS encryption, Secrets Manager, WAF, and policy controls
- CloudWatch, X-Ray and OpenTelemetry instrumentation with service-level dashboards and alerting
- Terraform, GitOps, CI/CD, progressive delivery, recovery automation, and cost optimization
AZR
Azure service architecture
- AKS, Azure Functions, Container Apps where appropriate, API Management, Service Bus, Event Grid, and Event Hubs
- Istio-based service mesh for traffic policy, workload identity, mutual TLS, resiliency, and telemetry where justified
- Microsoft Entra Workload ID, managed identities, private endpoints, Key Vault, WAF, and Azure Policy
- Azure Monitor, Application Insights, managed Prometheus, Grafana, and OpenTelemetry correlation
- Bicep or Terraform, GitOps, deployment rings, autoscaling, continuity, and FinOps controls
Modernization & support lifecycle
Change the architecture without losing control of the service.
Innovative BI connects discovery, modernization, platform engineering, production readiness, and L2/L3 operations through one traceable backlog and service model.
Review lifecycle support- 01Assess
Map domains, dependencies, data stores, interfaces, failure modes, traffic, deployment coupling, security, cost, and operational pain.
- 02Modernize
Prioritize seams, extract services incrementally, establish contracts, automate tests, and preserve rollback and coexistence paths.
- 03Productionize
Apply policy, telemetry, SLOs, resilience patterns, release controls, performance tests, runbooks, and readiness reviews.
- 04Operate
Monitor, triage, restore, patch, scale, optimize, perform problem analysis, and improve reliability through L2/L3 engineering.
Start a focused conversation
Build or stabilize a microservices platform that teams can operate with confidence.
Share the application estate, cloud, interfaces, service objectives, security boundary, modernization priorities, and current operational constraints.