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How FlowVerify is built — PDF signing, LTV, infrastructure, and the trade-offs we make.
Three isolation levels, three distinct failure modes. Most Postgres deployments run at Read Committed without knowing it. Here is what each level permits and what upgrading actually costs.
Most rate limiting failures aren't implementation errors. They come from picking an algorithm whose properties don't match the actual traffic shape. Here's a workload-first framework for making the right choice.
An Idempotency-Key header handles one of five layers where duplicates cause harm. Database writes, queue consumers, external API calls, and saga compensation each have failure modes the HTTP key doesn't cover.
WebSockets are the wrong default for most real-time features. HTTP/2 changed the SSE economics years ago, enterprise proxies regularly break WebSocket upgrades, and SSE handles reconnection natively.
Every tutorial shows you the happy path. Here is the part they skip: the exact schema, concurrent duplicate requests, crashed workers, and the eviction query that doesn't delete the wrong keys.
Pub/sub decouples services at the network layer while recoupling them at the schema and semantic layers. Three coupling modes explain why this happens and what prevents each one.
Async replication means your replica always lags behind your primary. Most teams add replicas without auditing for four bug classes this creates: phantom 404s, stale list data, apparent reverts, and workflow failures.
Partial indexes in Postgres speed up filtered reads and can also cut UPDATE throughput by 40%. Here is the full picture: the selectivity threshold, HOT updates, and covering partial indexes.
A unique constraint stops the check-before-insert race but leaves concurrent in-flight requests undefined. Here is the state machine pattern — with Postgres code — that handles all six failure modes.
The vendor docs tell you how to configure webhooks. They don’t tell you about the five failure modes that surface in production eSign integrations. Here is what actually breaks and how to fix it.
UIDAI downtime breaks Aadhaar eSign flows unless you have designed for it. Three fallback patterns: async queue, DSC drop-in, and consent capture, with what each means for audit trails and IT Act validity.
PAdES B-B stops validating when the signing cert expires. B-LT embeds the full cert chain and revocation data. B-LTA adds a renewable archive timestamp. Here is what each level actually survives in production.
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