Tagged
Bloom filters shave 90% of negative lookups; HyperLogLog estimates cardinality without storing every user ID. Redis modules on ElastiCache for abuse detection and feed deduplication.
Palaniappan PWhy Aurora PostgreSQL loves B-tree indexes on OLTP but DynamoDB feels like an LSM, and how cost-based optimization surprises you when statistics go stale on RDS.
Palaniappan PCAP explains why your global DynamoDB table shows stale inventory and why Aurora Global reads lag 80 ms behind the writer. This guide maps partition tolerance, consistency, and availability trade-offs to concrete AWS controls.
Palaniappan PYou rarely implement Raft on EC2, because you buy it in Aurora, DynamoDB, and EKS etcd. This guide explains quorum math so you can trust managed services and avoid rolling your own coordinator.
Palaniappan PDefault Docker seccomp is not enough for regulated workloads. EKS Pod Security Standards, seccomp profiles, and Fargate platform version constraints.
Manoj V.Two goroutines updating adjacent counters can saturate the memory bus on a c7g.4xlarge. This guide covers memory barriers, cache lines, and false sharing, and why placement groups do not fix application-level contention.
Palaniappan PWhole-item last-write-wins is how Global Tables lose cart merges. When to use counters, OR-Sets, and conflict-free merges vs when to keep a single Aurora writer.
Palaniappan PToo many "too many connections" pages are fixed by raising max_connections, which trades one outage for OOM on the writer. This guide traces deadlocks, pool sizing, RDS Proxy, and prepared statement caching on Aurora.
Palaniappan PCache-aside without an invalidation story ships stale pricing to 2% of users, and those are the hardest users to debug. This guide layers CloudFront, ElastiCache, and DAX with TTL, event-driven purge, and when write-through beats cache-aside.
Palaniappan PRedlock debates matter because ElastiCache is not a consensus system. Consistent hashing for sharding workers and ALB target stickiness, with DynamoDB conditional writes as the simpler alternative.
Palaniappan PExactly-once is a myth end to end, but idempotent consumers plus event stores get you close. CQRS read models on DynamoDB streams, Kinesis, and EventBridge replay semantics.
Palaniappan PProtobuf on the wire saves bytes, and GraphQL saves round trips until resolvers N+1 your Aurora cluster. ALB gRPC, AppSync, and consumer-driven contracts with Pact.
Palaniappan P
