Deployment

Executive Summary Neo4j is a native graph database that stores data as nodes (entities) connected by relationships (edges). Unlike relational databases that normalize data into tables, Neo4j excels at traversing relationships. Quick decision: Use Neo4j for: Knowledge graphs, authorization/identity, recommendations, fraud detection, network topology, impact analysis Don’t use for: Heavy OLAP analytics, simple key-value workloads, document storage Production deployment: Kubernetes + Helm (managed) or Docker Compose + Causal Cluster (self-managed) …

Introduction Slow CI/CD pipelines waste developer time and delay releases. This guide covers proven techniques to optimize pipeline performance including build caching, parallel job execution, and efficient deployment strategies across popular CI/CD platforms. Build Caching Why Caching Matters Without caching: Build 1: npm install (5 min) → tests (2 min) = 7 min Build 2: npm install (5 min) → tests (2 min) = 7 min Build 3: npm install (5 min) → tests (2 min) = 7 min Total: 21 minutes With caching: …

Introduction GitOps is a paradigm that uses Git as the single source of truth for declarative infrastructure and applications. ArgoCD and Flux are the leading tools for implementing GitOps on Kubernetes. This guide covers deployment patterns, rollback strategies, and choosing between the two. GitOps Principles Core Concepts 1. Declarative - Everything defined in Git 2. Versioned - Git history = deployment history 3. Automated - Tools sync Git to cluster 4. Auditable - All changes tracked in Git …