performance

Indexes dramatically improve query performance. I add indexes via Meta.indexes or db_index=True on frequently-filtered fields. Compound indexes help queries filtering on multiple fields. For text search, I use GinIndex on PostgreSQL. I index foreign k

Large JSON payloads consume bandwidth and increase latency, especially for mobile clients on slow connections. Rack::Deflater middleware automatically compresses responses using gzip when clients send Accept-Encoding: gzip headers. This typically redu

Prepared statements are useful when the same query runs in hot loops, but they come with lifecycle responsibilities. I prepare once (usually at startup), store the *sql.Stmt, and always close it on shutdown. The important detail is still using QueryRo

Redis provides a fast, in-memory cache for expensive computations that don't change frequently. I use Rails.cache with the Redis store to cache things like trending posts calculations, aggregated statistics, or external API responses. The fetch method

Spring Cache abstraction simplifies caching with annotations. @Cacheable caches method results—subsequent calls with same arguments return cached values. @CachePut always executes methods and updates cache. @CacheEvict removes entries or clears entire

Updating last_seen_at on every request creates hot rows and write amplification. Instead, track last seen in Redis and periodically flush to DB, or only write when the value meaningfully changes.

BufReader and BufWriter wrap readers/writers with an in-memory buffer, reducing system calls. For example, reading a file line-by-line with BufReader::new(file).lines() is much faster than unbuffered reads. I use them for parsing large files, log proc

Database indexes dramatically speed up queries. I add indexes to frequently-filtered fields via db_index=True or Meta.indexes. Compound indexes help queries filtering on multiple fields together. For text search on PostgreSQL, I use GinIndex with Sear

Caching dramatically improves performance by storing expensive computations or database queries. Laravel supports multiple cache drivers—Redis, Memcached, file, database. I use Cache::remember() to fetch or compute and cache values with expiration. Ca

Connection pooling reuses database connections across requests. Creating connections is expensive—pooling amortizes overhead. I use PgBouncer for PostgreSQL, ProxySQL for MySQL. Session pooling maintains session state. Transaction pooling is more effi

Memoization is useful, but it should be scoped. Memoize within the instance/request, never globally. This is a simple way to avoid repeated expensive DB reads inside a view render.

ETags are a low-effort way to cut bandwidth and CPU when clients poll for resources that rarely change. The server computes an ETag for the representation (often a version, content hash, or updated_at value) and compares it to If-None-Match. If they m