Blog category
For a mid-market 3PL (~2.1M shipments/yr, OTIF 82%), layering AWS Supply Chain on ERP ingest plus Location Services fleet tracking moved ETA accuracy from 71% to 87% in 90 days without replacing Manhattan WMS.
Palaniappan POn a composite ingest workload (~8k ordered TPS, 1 KB payloads), staying on SQS FIFO without high-throughput mode capped effective throughput near 300 TPS/API and modeled queue backlog cost near $95/mo before ops time. Enabling high-throughput FIFO or switching to Kinesis on-demand raised the ceiling without changing the consumer code.
Palaniappan POn a composite B2B order API (~2.4k RPS peak, 24 ECS tasks on Aurora), running the scaling ladder in order (RDS Proxy, read-replica routing, ElastiCache, then SQS offload) moved modeled p99 from 1,840 ms to 72 ms before any microservice split.
Palaniappan PA composite fintech API (~8ms p99 to metro users) spent ~$22k/mo on hybrid infrastructure around an Outposts rack before moving read-heavy paths to a Chicago Local Zone and keeping Outposts only for card-PIN HSM proximity. p99 held at 9ms and hybrid infra dropped ~38%. This post covers placement and connectivity, not EC2-vs-Lambda unit economics.
Palaniappan POn a composite mid-market OTT platform (~180k concurrent live peak, ~12 TB/month VOD catalog), routing Saturday-night live through MediaConvert batch queues added ~$4,200/mo in idle transcode capacity before switching live to IVS and keeping MediaConvert for catalog only. CloudFront egress still dominates steady-state, so model it before you buy encoders.
Palaniappan PAWS Blocks (public preview, June 2026): 18+ open-source TypeScript building blocks that run locally without an AWS account and deploy with zero code changes.
Palaniappan PBloom 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 PTwo 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.
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