Time-Series Databases: Handling Time-Ordered Data
How to handle time-ordered data with InfluxDB and TimescaleDB — covering downsampling, retention policies, high-cardinality tags, and IoT analytics at scale.
Posts in technical
Two-Phase Commit Protocol Explained
Learn the two-phase commit protocol for distributed transactions: prepare and commit phases, coordinator role, failure handling, and trade-offs.
CAP Theorem: Consistency vs Availability Trade-offs
Learn the fundamental trade-off between Consistency, Availability, and Partition tolerance in distributed systems with practical examples.
Cache Eviction Policies: LRU, LFU, FIFO, and Beyond
A comprehensive guide to cache eviction policies — LRU, LFU, FIFO, Random — with implementation trade-offs, decision frameworks, and real-world case studies.
Cache Patterns: Thundering Herd, Stampede Prevention, and Cache Warming
A comprehensive guide to advanced cache patterns — thundering herd, cache stampede prevention with distributed locking and probabilistic early expiration, and cache warming strategies.
CDN Deep Dive: Content Delivery Networks Explained
A comprehensive guide to CDNs — how they work, PoP architecture, anycast routing, cache invalidation strategies, SSL/TLS termination, and real-world performance trade-offs.
Distributed Caching: Scaling Cache Across Multiple Nodes
A comprehensive guide to distributed caching — consistent hashing, cache sharding, replica consistency, cache clustering, and handling the unique challenges of multi-node cache environments.
Redis vs Memcached: Choosing an In-Memory Data Store
A comprehensive comparison of Redis and Memcached — data structures, persistence, clustering, Lua scripting, pub/sub, and guidance on when to choose each.
Caching Strategies: A Practical Guide
Learn the main caching patterns — cache-aside, write-through, write-behind, and refresh-ahead — plus how to pick TTLs, invalidate stale data, and distribute caches across nodes.