Distributed Caching — Complete Guide
Distributed Caching — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of AWS Cloud Tutorial on Toolliyo Academy.
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AWS Cloud Tutorial · Lesson 76 of 100
Distributed Caching
Core services ✓ → Projects
Projects · 2 — Deploy · ~10 min · AWS — Cloud-Native & Microservices
What is this?
Distributed caching shares hot data across app instances using Redis or Memcached clusters, reducing database load and latency.
Why should you care?
AwsVerse product search caches facet counts in Redis cluster mode for horizontal cache scale.
See it live — copy this example
Run in AWS CloudShell / local AWS CLI v2, or follow the matching steps in the AWS Console (Free Tier).
aws elasticache create-replication-group \
--replication-group-id awsverse-redis-cluster \
--replication-group-description 'Session and catalog cache' \
--engine redis \
--cache-node-type cache.t3.micro \
--num-node-groups 2 --replicas-per-node-group 1 \
--automatic-failover-enabledWhat happened?
- Creates Redis cluster mode group with two shards and one replica each.
- Apps use cluster-aware client for slot routing.
Practice next
- Identify read-heavy queries to cache.
- Deploy ElastiCache replication group.
- Add cache-aside pattern with TTL in app code.
- Enable Redis AUTH and in-transit encryption.
- Benchmark hit ratio with CloudWatch Evictions metric.
Remember
Distributed cache scales reads. Redis cluster for large datasets. TTL and invalidation strategy required.
AwsVerse search cache
Category browse hammers PostgreSQL.
Outcome: Redis cache 95% hit rate drops DB CPU from 80% to 15%.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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