Scalability Patterns: From Vertical Scaling to CQRS
Master scalability patterns including horizontal scaling, stateless services, read replicas, CQRS, database partitioning, and async processing. See how Instagram handles 2B+ users.
24 posts · page 1 of 1
Master scalability patterns including horizontal scaling, stateless services, read replicas, CQRS, database partitioning, and async processing. See how Instagram handles 2B+ users.
Master CI/CD artifact management with dependency caching, build artifact storage, retention policies, and cross-job artifact sharing patterns.
Master GraphQL caching with client-side normalized caches, persisted queries, CDN caching, and server-side response caching.
Understand the major caching strategies for backend systems. Compare write-through, write-back, write-around, and cache-aside with real-world trade-offs.
Compare Redis and Memcached for caching. Understand data structures, persistence, clustering, and use cases to choose the right caching solution.
Build efficient CI/CD pipelines for monorepos using Turborepo and Nx with smart caching, affected-only builds, and parallel execution.
Master HTTP caching for REST APIs. Learn ETags, Cache-Control headers, conditional requests, and CDN integration patterns with practical examples.
Master Python's functools module with practical examples of partial, lru_cache, reduce, singledispatch, cached_property, and wraps.
Understand the three core caching patterns with practical examples. Covers consistency tradeoffs, invalidation strategies, cache stampede prevention, and when to use each pattern.
Speed up Django with Redis caching — per-view cache, template fragment cache, low-level cache API, and cache invalidation strategies.
Master Incremental Static Regeneration and on-demand revalidation in Next.js to serve fresh content without rebuilding your entire site.
Master Docker layer caching: instruction ordering, cache mounts, BuildKit inline cache, and CI registry caching for faster builds.
A practical guide to Next.js caching: the data cache, full route cache, router cache, revalidation strategies, cache tags, and how to control caching behavior at every level.
Learn how AWS CloudFront accelerates content delivery, what cache behaviors look like, and how to wire it up to an S3 origin with sensible defaults.
Speed up CI builds with dependency caches, layer caches, remote build caches, and content-addressed storage. Learn what to cache and what to skip.
Compare per-view, template fragment, low-level, and per-site caching in Django and learn when each pays off.
How Apollo Client's normalized cache works, why entity IDs matter, and the patterns for cache updates, refetches, and consistent UI after mutations.
How prompt caching works in modern LLM APIs, when it saves significant cost and latency, and how to design prompts so the cache actually hits in production.
Walk through the four caching layers in Next.js App Router and learn how to choose static, ISR, dynamic, or per-request fetch caching.
How consistent hashing actually works in production: virtual nodes, rebalancing, hot keys, and why naive modulo hashing fails at scale.
How service workers actually run: lifecycle, fetch interception, caching strategies, updates, and the operational habits that keep them from breaking your site.
Compare cache-aside, read-through, write-through, write-behind, and refresh-ahead. Learn when each strategy fits, what consistency you give up, and how to choose for interviews.
Practical Redis caching patterns: cache-aside, write-through, TTL choices, stampede protection, and invalidation strategies that survive production.
Design a distributed in-memory cache like Redis or Memcached. Covers consistent hashing, replication, eviction, persistence, and surviving node failures cleanly.