Optimization

Executive Summary Performance baseline = safe defaults that work for most workloads, with clear tuning for specific scenarios. This guide covers: sysctl: Kernel parameters (network, filesystem, VM) with production-safe values ulimits: Resource limits (open files, processes, memory locks) CPU Governor: Frequency scaling & power management on servers NUMA: Awareness for multi-socket systems (big apps, databases) I/O Scheduler: NVMe/SSD vs. spinning disk tuning 1. sysctl Kernel Parameters Why sysctl Matters Problem: Default kernel parameters are conservative (fit laptops, embedded systems) Solution: Tune for your workload (databases, web servers, HPC) Trade-off: More throughput vs. latency / memory vs. stability …

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 Prometheus queries can become slow and resource-intensive as your metrics scale. This guide covers PromQL optimization techniques, recording rules, and performance best practices to keep your monitoring fast and efficient. PromQL Optimization Understanding Query Performance Factors affecting query performance: Number of time series matched Time range queried Query complexity Cardinality of labels Rate of data ingestion Check query stats: # Grafana: Enable query inspector # Shows: Query time, series count, samples processed 1. Limit Time Series Selection Bad (matches too many series): …

Introduction Building efficient and secure Docker images requires following best practices that reduce image size, improve build times, and minimize security vulnerabilities. This guide covers essential techniques for production-ready containers. Multi-Stage Builds The Problem: Bloated Images Before (single-stage build): FROM node:18 WORKDIR /app # Install dependencies COPY package*.json ./ RUN npm install # Includes devDependencies # Copy source COPY . . # Build RUN npm run build # Runtime includes build tools and dependencies CMD ["node", "dist/index.js"] Result: 1.2GB image with unnecessary build tools and dependencies. …