Microservices Architecture Guide: Decisions, Boundaries, Migration, And Reliability
A decision-first microservices guide covering architecture fit, service boundaries, migration waves, data ownership, observability, reliability, and rollback.
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Software Architecture
Guidance for technical decision-making, integration design, deployment planning, and scalable software systems.
Showing 1–9 of 9 posts
Mobile App Architecture Guide For AI-Native, Offline, And Scalable Apps
Choose mobile app architecture by mapping client layers, offline sync, backend APIs, AI placement, security, analytics, release gates, and cloud scaling decisions.
Agent-To-Agent Architecture: When A2A Makes Sense For Business Software
Use this agent-to-agent architecture guide to decide when A2A, MCP, single agents, or workflow orchestration fit real business software.
Web Application Database Selection Guide For Product Teams
Choose a web application database by comparing workload, transactions, data model, cache, search, analytics, scaling, backup, and migration risk.
SaaS Integration Architecture Guide: APIs, Billing, CRM, And Workflow Automation
Plan SaaS integration architecture across APIs, webhooks, billing, CRM, support, analytics, source-of-truth rules, retries, replay, testing, and build-vs-buy decisions.
Mobile App Technology Stack Guide: Native, Cross-Platform, Backend, And AI Integrations
Choose a mobile app technology stack by product risk, platform needs, backend/API ownership, AI data boundaries, security, QA evidence, and release operations.
Custom Software Scalability Checklist: Architecture, Data, Integrations, And Team Readiness
Use this custom software scalability checklist to review architecture, databases, APIs, integrations, load testing, observability, security, and team readiness before growth exposes bottlenecks.
Modern Custom Software Tech Stack Guide: AI, Cloud, Data, And Security Decisions
Choose a modern custom software tech stack with workflow-first scoring, data and cloud tradeoffs, AI readiness, security controls, release gates, and cost risk.
Edge AI Vs Cloud Computer Vision: How To Choose The Right Deployment Model
Compare edge AI, cloud computer vision, and hybrid deployment models across latency, privacy, bandwidth, cost, MLOps, failover, ROI, and rollout risk.