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System Architecture Consulting

We design cloud-native, hybrid, and on-premise architectures aligned with TOGAF and Azure/AWS best practices. Our focus is scalability, high availability, and zero-trust security models.

Build, Secure and Scalable Systems The Right Way

We design cloud and on-prem architectures using microservices, containerization, event-driven messaging, DevSecOps, and enterprise frameworks (TOGAF). Our team maps your business capabilities to a future-proof technical blueprint across AWS and Azure.

What You Get

  • Target Architecture & Roadmap: Current-state assessment, future-state diagrams, and a migration plan with 3/6/12-month milestones.
  • Reference Implementations: Golden service template (Docker + CI/CD), API gateway policy set, observability stack, and infrastructure-as-code.
  • NFRs & Guardrails: Security, availability, performance, data, compliance, cost controls, and SLOs defined and testable.
  • Runbooks & Playbooks: Release, rollback, incident, DR, and on-call procedures.
Microservice Architecture (Best Practices)
  • Domain-first design: DDD bounded contexts, clear API contracts, data ownership per service.
  • Inter-service comms: REST/GraphQL (timeouts) for request/response; Kafka/RabbitMQ/SNS+SQS/Azure Service Bus for events.
  • Consistency & transactions: Saga (orchestration/choreography), Outbox pattern, idempotency, retries with backoff+jitter, DLQs.
  • Resilience: Circuit breaker, bulkhead isolation, rate limiting, backpressure, load shedding (e.g., Resilience4j).
  • Versioning: SemVer, additive changes, contract testing (Pact).
  • Polyglot persistence: OLTP (PostgreSQL/MySQL/SQL Server/Aurora), NoSQL (DynamoDB/Cosmos), cache (Redis), search (OpenSearch), analytics (Redshift/Synapse).
Containerization & Orchestration
  • Docker images: Multi-stage builds, minimal/distroless bases, non-root, SBOMs (Syft), image signing (Cosign).
  • Kubernetes: EKS/AKS (or ECS/Fargate). HPA/KEDA, PodDisruptionBudgets, anti-affinity.
  • Service mesh: mTLS, traffic policies, canary (Istio/Linkerd or AWS App Mesh).
  • Config & secrets: 12-factor configs; AWS Secrets Manager / Azure Key Vault / Vault.
  • Deployments: Blue/green or progressive (Argo Rollouts/Flagger), health checks, graceful shutdown.
Messaging & Eventing
  • Choose the right bus: Kafka/Event Hubs for streaming; RabbitMQ/Service Bus for work queues; SNS+SQS/EventBridge for fan-out/integration events.
  • Delivery semantics: At-least-once + idempotency; key-based partitioning; DLQs + reprocessing.
  • Event design: Immutable facts, schema governance (Avro/JSON Schema), versioned topics, consumer groups.
JAIN SLEE (Telecom-Grade Event Processing)

For telco/real-time signaling (USSD, SIP, SS7/INAP/CAP) we complement microservices with JAIN SLEE (JSLEE) for deterministic low-latency event processing using SBBs.

  • Integration: SLEE handles network/resource adapters; business logic/reporting in microservices; bridge via Kafka or gRPC.
  • Practices: Resource Adapters for SIP/SS7, activity context separation, active-active clustering, and central observability.
API & Edge Strategy
  • Gateways: Kong/NGINX, AWS API Gateway/ALB, Azure API Management; JWT/OIDC (Keycloak/Cognito/Entra), quotas, WAF, caching, request validation.
  • API styles: REST, GraphQL, gRPC (for low-latency S2S).
  • Zero trust: mTLS between services, SPIFFE/SPIRE or mesh identities; least privilege per service.
Security & Compliance (DevSecOps)
  • Shift-left: SAST/DAST (CodeQL/ZAP), dependency scans (Dependabot), container scans (Trivy/Grype).
  • Policy as code: OPA/Gatekeeper or Kyverno; image signing; namespace quotas; Pod Security standards.
  • Keys & encryption: KMS/Key Vault; TLS everywhere; encrypt at rest/in transit.
  • Compliance: PCI DSS for payment flows; audit logging, immutable storage, tokenization, data minimization.
Observability & Operations
  • Telemetry: OpenTelemetry SDKs; Prometheus/Grafana, ELK/OpenSearch, CloudWatch/X-Ray or Azure Monitor/App Insights.
  • SLOs & alerts: SLI/SLO for latency/error/saturation; actionable alerts with runbooks and on-call rotations.
  • Load & chaos: K6/Gatling; chaos experiments (Litmus/Chaos Mesh).
CI/CD & Infrastructure as Code
  • Pipelines: GitHub Actions/GitLab CI, AWS CodePipeline or Azure DevOps; trunk-based with short-lived branches.
  • IaC: Terraform/Pulumi modules; per-env workspaces; reviewable plans; drift detection.
  • Environments: Dev→QA→UAT→Prod; promote artifacts, not rebuilds; environment parity.
TOGAF-Aligned Engagement
  • Architecture Vision: Business goals, stakeholder map, high-level target state.
  • Business/Data/App/Tech Architecture: Capability maps, service boundaries, data flows, runtime topology.
  • Opportunities & Solutions: Build/buy, carve-outs, migration waves.
  • Migration Planning: Backlog, dependencies, cost model, risks.
  • Implementation Governance: ADRs, checklists, gates.
  • Change Management: Continuous compliance and tech-debt burn-down.
Reference Tech Stacks (AWS & Azure)

AWS Reference

  • Compute/Containers: EKS or ECS/Fargate; Lambda for glue.
  • Edge: Route 53, CloudFront, ALB/NLB, API Gateway, WAF.
  • Data: Aurora/RDS, DynamoDB, ElastiCache (Redis), OpenSearch, S3 (+ Lake Formation), Redshift.
  • Messaging: MSK (Kafka), SNS/SQS, EventBridge, Kinesis.
  • Security: IAM, KMS, Secrets Manager, Cognito, GuardDuty.
  • Observability: CloudWatch/X-Ray, OTel, Prometheus/Grafana (AMP/AMG).
  • CI/CD & IaC: CodeBuild/CodePipeline or GitHub Actions; Terraform.

Azure Reference

  • Compute/Containers: AKS, Container Apps, Functions.
  • Edge: Front Door, App Gateway (WAF), Traffic Manager, API Management.
  • Data: SQL Database/MI, Cosmos DB, Azure Cache for Redis, Cognitive Search, Data Lake + Synapse.
  • Messaging: Service Bus, Event Hubs, Event Grid.
  • Security: Entra ID, Key Vault, Defender for Cloud, Managed Identities.
  • Observability: Azure Monitor, Log Analytics, App Insights, OTel.
  • CI/CD & IaC: Azure DevOps/GitHub Actions; Bicep/Terraform.
Non-Functional Requirements (NFRs)
  • Availability: Multi-AZ/Zone, graceful degradation, RTO/RPO, backups + restore tests.
  • Performance: P95/P99 budgets, capacity plans, autoscaling triggers.
  • Cost: FinOps dashboards, right-sizing, reserved/savings plans, per-service allocation.
  • Data: Lineage, retention, privacy controls, masking/tokenization, residency.
Sample Delivery Plan (4–8 Weeks)
  1. Week 1 — Discovery & Vision: Stakeholder workshops, goals, constraints, NFRs.
  2. Weeks 2–3 — Target Architecture: Service map, data flows, security model, platform choices.
  3. Weeks 4–5 — Reference Builds: Golden Docker image, CI/CD, API gateway, observability stack.
  4. Week 6 — NFR Validation: Load tests, chaos drills, security scans, cost model.
  5. Weeks 7–8 — Handover: Roadmap, ADRs, runbooks, training, implementation backlog.

De-Risk and Scale Your Systems with Confidence

Our experts design secure, scalable, and future-ready system architectures using microservices, containerization, cloud-native patterns, and enterprise frameworks like TOGAF. Whether on AWS, Azure, or hybrid environments, we help you build a platform that grows with your business.

Request a Strategy Session