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โšก Calmops

Enterprise Architecture Hub

Enterprise architecture guides for system design, distributed systems, observability, SRE, service mesh, and platform engineeringโ€”practical decision guides and patterns for 2026.

Enterprise Architecture Hub

Pragmatic architecture guidance for engineers and technical leaders. Find decision guides, design patterns, and implementation references for building reliable, observable, and scalable systems in production.


๐Ÿš€ Getting started

Quick entry points when you need a practical next step:


๐Ÿ“š Main categories

๐Ÿ—๏ธ Core Architecture Patterns (30+ articles)

High-value patterns and when to apply them.

๐Ÿ”€ Integration & Messaging

Patterns for async communication and data consistency.

๐Ÿ”’ Security & Resilience

Design choices that harden systems and reduce blast radius.

โš™๏ธ Observability, Reliability & SRE

How to measure, alert, and operate systems.

โ˜๏ธ Platform & Infrastructure

Platform engineering, deployment, and cost concerns.

๐Ÿง  Emerging & AI-Native Architectures

Modern approaches for AI and edge workloads.


๐ŸŽฏ Learning paths

Path 1: System Architect (3โ€“6 months)

  1. Distributed Systems Fundamentals
  2. Scalability & Data Partitioning (sharding, replication)
  3. Observability & SRE basics (SLOs, tracing)
  4. Platform Engineering (internal developer platforms)
    Outcome: Produce architecture docs and design low-risk rollout plans.

Path 2: Platform Engineer โ†’ Platform Owner (2โ€“4 months)

  1. Kubernetes at Scale & Operators
  2. GitOps & CI/CD for platform automation
  3. Developer Experience: self-service platforms
  4. FinOps and cost governance
    Outcome: Build a reproducible self-service platform used by teams.

Path 3: Reliability & Incident Response (2โ€“3 months)

  1. Design SLOs and error budgets
  2. Distributed tracing and alerting practices
  3. Chaos engineering and resilience testing
  4. Postmortems and remediation workflows
    Outcome: Run incident playbooks that reliably reduce MTTR.

๐Ÿ“Š Key statistics (snapshot)

  • Core architecture articles: 30+
  • Observability & SRE guides: 10+
  • Platform engineering and Kubernetes patterns: 8+
  • AI/ML ops & RAG-related architecture coverage: 5+
  • Audience: architects, platform engineers, SREs, senior backend engineers

๐Ÿ”— Quick reference

Architecture decision matrix (simplified)

Concern Monolith Microservices Serverless
Time-to-market Fast Slower Fast for simple use
Operational complexity Low High Medium
Scalability Vertical/Horiz via scaling app Independent scaling Autoscaling, cold starts
Cost profile Predictable Higher infra cost Pay per use (variable)

When to use what storage pattern

Use case Recommended pattern
Strong consistency transactional workloads Relational DB with ACID
High write throughput, large scale Wide-column or partitioned design
Analytics / OLAP Columnar DB (ClickHouse / DuckDB)
Semantic search / RAG Vector DB + retrieval layer

๐Ÿ“š Browse all core articles

Click to expand the complete core architecture list
  • System Design Interview Guide (system-design-interview-guide)
  • Distributed Systems Fundamentals (distributed-systems-fundamentals)
  • Load Balancing Strategies (load-balancing-strategies)
  • Circuit Breaker Pattern (circuit-breaker-pattern)
  • Microservices vs Monolith: Architecture Comparison (microservices-vs-monolith-architecture)
  • Event-Driven Architecture Patterns (event-driven-architecture-patterns)
  • Scalable Database Architecture: Sharding, Replication (scalable-database-architecture-sharding)
  • Service Mesh Deep Dive: Istio, Linkerd, Observability (service-mesh-istio-linkerd)
  • High Availability & Disaster Recovery: Multi-Region Strategies (high-availability-disaster-recovery)
  • Event Sourcing vs CQRS: When to Use Each Pattern (event-sourcing-vs-cqrs)
  • API Gateway Patterns & Design (api-gateway-patterns-design)
  • Observability vs Monitoring: Complete Guide 2025 (observability-vs-monitoring-complete-guide-2025)
  • SLOs & Error Budgets: Reliability Metrics That Matter (slo-error-budgets)
  • Kubernetes Operator Patterns (kubernetes-operator-patterns-automating-complex-applications)
  • eBPF Observability Architecture (ebpf-observability-architecture-next-generation-monitoring)
  • FinOps Architecture: Cloud Cost Optimization (finops-architecture-cloud-cost-optimization)
  • RAG Architecture: Retrieval-Augmented Generation (rag-architecture-retrieval-augmented-generation)
  • LLMOps Architecture: Managing LLMs in Production (llmops-architecture-managing-llm-production-2026)
  • Message Queue Architecture Patterns (message-queue-architecture-patterns-kafka-rabbitmq-pulsar)
  • Progressive Delivery: Canary, Argo Rollouts, Flagger (progressive-delivery-canary-argo-rollouts-flagger)

๐ŸŽ“ Who this hub is for

  • System architects designing long-lived services
  • Platform engineers building developer-facing platforms
  • SRE teams defining SLOs, runbooks, and incident processes
  • Senior backend engineers evaluating architecture trade-offs
  • Technical leads planning migration and rollout strategies

๐Ÿ“– External resources