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Software Engineering

CI/CD pipelines, containerization, microservices design, API architecture, and DevOps best practices.

25 guides
01

How to Avoid Microservices Anti-Patterns: Architecture Decision Guide

Identify and fix the 8 most common microservices mistakes. Covers distributed monoliths, service granularity, data ownership, and when NOT to use microservices.

02

How to Implement API-First Architecture: Design, Versioning, and Testing

Build APIs that last. Covers OpenAPI spec design, versioning strategies, authentication patterns, rate limiting, and contract testing for enterprise APIs.

03

How to Manage Technical Debt: Assessment, Prioritization, and Paydown

Quantify and systematically reduce technical debt. Covers debt taxonomy, cost modeling, prioritization frameworks, and sprint allocation strategies.

04

Microservices vs Monolith: Architecture Decision Guide

Make the right architecture choice. Covers when to use monolith, microservices, or modular monolith with decision criteria, trade-offs, migration strategies, and team size considerations.

05

How to Implement Observability: Traces, Metrics, and Logs at Scale

Build a production observability stack. Covers OpenTelemetry instrumentation, Prometheus metrics, distributed tracing, log aggregation, and alerting strategies.

06

CI/CD Pipeline Design: GitHub Actions, GitLab, & Azure DevOps

Design production CI/CD pipelines. Covers pipeline architecture, testing stages, deployment strategies, secrets management, and platform-specific patterns for GitHub Actions, GitLab CI, and Azure DevOps.

07

How to Choose Your Tech Stack: A Decision Framework for Startups

Pick the right tech stack for your startup based on team size, product type, and scaling needs. Covers frontend, backend, database, and infrastructure choices.

08

Technical Debt Quantification & Prioritization

Measure and prioritize technical debt systematically. Covers debt categorization, quantification methods, RICE scoring for prioritization, and strategies for paying down debt without stopping feature work.

09

How to Optimize Web Performance: Core Web Vitals and Beyond

Achieve sub-2-second load times and pass Core Web Vitals. Covers image optimization, lazy loading, code splitting, CDN strategy, and Lighthouse auditing.

10

How to Build vs Buy Software: A Decision Framework

Make rational build-vs-buy decisions. Covers total cost of ownership modeling, competitive advantage analysis, vendor evaluation, and hybrid strategies.

11

System Design Interview Patterns for Senior Engineers

Essential system design patterns for senior+ engineering roles. Covers load balancing, caching, database scaling, message queues, consensus, rate limiting, and how to structure your design process.

12

Low-Code vs Pro-Code: When to Use Each

Make the right development approach decision. Covers use cases, limitations, governance, and hybrid patterns for Power Platform, OutSystems, and traditional development.

13

Observability Stack: Logs, Metrics, Traces Unified

Design a complete observability stack. Covers the three pillars (logs, metrics, traces), tool selection (Grafana, Datadog, OpenTelemetry), SLOs, alerting, and dashboard design for production systems.

14

How to Implement Event-Driven Architecture

Design and build event-driven systems. Covers event sourcing, CQRS, message brokers, saga patterns, idempotency, and common pitfalls.

15

API Versioning & Lifecycle Management

Manage API evolution without breaking consumers. Covers versioning strategies, deprecation policies, backward compatibility, API changelogs, and consumer migration paths.

16

Developer Productivity Engineering

Measure and improve developer productivity. Covers DORA metrics, SPACE framework, developer experience (DX), build system optimization, and reducing cognitive load.

17

Code Review Best Practices

Run effective code reviews. Covers review process design, what to look for, automated checks, review speed, giving constructive feedback, and scaling reviews across teams.

18

Documentation-as-Code

Treat documentation like code. Covers docs-as-code tooling, ADRs, API documentation, runbooks, and keeping documentation current alongside your codebase.

19

Testing Strategy for Distributed Systems

Test distributed microservice architectures. Covers contract testing, integration testing, chaos testing, test environments, test data management, and testing in production safely.

20

GraphQL API Design & Best Practices

Design production GraphQL APIs. Covers schema design, resolver patterns, N+1 problem, pagination, authentication, rate limiting, and GraphQL vs REST decision framework.

21

API Rate Limiting & Throttling

Protect APIs with rate limiting. Covers token bucket, sliding window, distributed rate limiting with Redis, client-specific limits, and graceful degradation under load.

22

Semantic Versioning & Release Management

Manage software releases. Covers semver, changelog automation, release branching strategies, monorepo versioning, and coordinating releases across distributed teams.

23

Monorepo vs Polyrepo Architecture

Choose the right repository strategy. Covers monorepo tooling (Nx, Turborepo, Bazel), polyrepo coordination, code ownership, dependency management, and CI/CD for each approach.

24

WebSocket & Real-Time Architecture

Build real-time applications. Covers WebSocket architecture, SSE, long polling, real-time database patterns, connection scaling, and choosing the right real-time protocol.

25

Microservices Communication Patterns

Design inter-service communication. Covers synchronous vs asynchronous, API gateways, service discovery, message queues, event buses, and handling distributed failures.