Enhancing Rails Application Performance: 18 Essential Tools and Techniques
Too Long; Didn't ReadTo ensure optimal performance of Ruby on Rails applications, developers can use various tools and techniques. These include:
Bullet: A gem that detects and helps fix N+1 query issues, improving database performance.
N+1 Control: Used in tests to ensure the number of DB queries behaves as expected, particularly regarding N+1 queries.
APM Systems (e.g., NewRelic, AppSignal): These tools assist in monitoring and diagnosing N+1 query problems and other performance issues.
PgHero: A database optimization dashboard for PostgreSQL, offering real-time insights into query execution times, locks, and more.
Rails PG Extras: Provides insights into PostgreSQL databases, including locks, index utilization, and cache hit ratios.
Strong Migrations: Helps organize migrations, ensuring they don't impact application performance.
Database Validations: Offers faster database-level validations compared to ActiveRecord methods.
Database Consistency: Helps maintain consistency between database schema and application models.
RuboCop Performance: A gem that not only enforces code style but also improves code performance.
Fasterer: Provides automated code performance improvements based on Ruby idioms.
bundler-leak: Analyzes Gemfile for memory leaks, useful in CI/CD pipelines.
Panko: A fast data serialization library inspired by ActiveModelSerializers.
Alba & OJ: An alternative to Panko for fast and versatile data serialization.
GraphQL Performance Tools: Tools for optimizing GraphQL APIs.
Profiling (Rack Mini Profiler, Stackprof, MemoryProfiler): Tools for identifying performance bottlenecks and areas for improvement.
Dive: A utility for exploring Docker images to optimize size and efficiency.
Dalli: A Memcached driver for Rails caching.
Test Prof: Profilers, recipes, and RuboCop rules to speed up test suites.