A cache with room for 3 things. Your app asks for 4 things in a loop: A, B, C, D, A, B, C, D, and so on. You'd expect a few hits at least. It gets zero. 12 requests, 12 misses. The cache works…
Redis announced on November 4, 2026 that its Iris real-time context engine now offers six composable capabilities for AI agents, with four generally available and two in beta. The expansion adds request routing, reusable procedures, observability and resilient messaging to a product…
Every cell comes from an official project page or a vendor page dated October or November 2026. Where a number is a vendor claim rather than a measured result, the cell says so. Two rows deserve a second look. The 87% figure…
Redis is the undisputed king of distributed caching. But if your application backend is querying Redis over the network on every single incoming request, you are leaving massive performance on the table. Even inside the same cloud availability zone (AWS…
MiniMax M3.1 Flash - Day 0! Try it now ➔ Access frontier models via an API Your model, peak performance Fully managed, pay by usage Modular stack in your VPC Flexible plans for every team Turn text into natural speech Generate images from text…
When you send a long prompt to an LLM API, the service has to store the key-value (KV) cache for your session somewhere. For short conversations, GPU HBM handles it fine. But as context windows stretch to hundreds of thousands…
📚 Series Roadmap — Production AI & SaaS Systems Engineering Almost every codebase starts with this: Cache::remember checks the key, and on a miss runs the closure and stores the result. Between the miss and the write there is a window equal…
A long prompt costs more than compute time. It costs memory, and that memory is the KV cache. According to DeepSeek’s V4.1 announcement, its new architecture needs roughly one quarter of the previous generation’s HBM for the cache and one eighth…
How to move LLM calls out of request handlers and into a BullMQ queue: idempotent jobs, Retry-After aware backoff with jitter, worker rate limits, schema-validated model output and a dead-letter queue. Tested TypeScript code. Put LLM calls behind a BullMQ…
I measured PostgreSQL 18 LISTEN/NOTIFY against Redis 8 Pub/Sub for delivery latency, fan-out and the cost to the writing transaction, then checked rollbacks, payload limits and disconnects, with a tested Node.js SSE pattern. This is one machine with client…
KV stores, CDNs, edge runtimes, and latency-first data patterns.
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