12 articles in this category
If you run data pipelines for a living, you know the drill: someone upstairs wants more throughput, yesterday, and they've got a slide deck full of be...
You set a throughput target: 10K events per second. Your team wires up buffers, tunes thread pools, and runs the first load test. Memory shoots up. GC...
You run a throughput benchmark. Numbers look great. Then production hits a spike and everything falls apart. Sound familiar? The disconnect often come...
If you've ever stared at a pipeline config file wondering whether to flip the async flag, you're not alone. The debate between synchronous and asynchr...
I once watched a team proudly present a benchmark: 150,000 SETs/sec on Redis 6, zero evictions. The CTO nodded. Then production hit. Evictions started...
Every pipeline throughput benchmark I’ve seen starts the same way: a clean network, zero jitter, fixed latency, no packet loss. It’s a lie. A convenie...
You have run the yield benchmarks. Green across the board. 10,000 requests per second sustained. Graphs look like a surgeon's heartbeat. Then the pipe...
Benchmarking a pipeline without a backpressure trial is like testing a car's top speed with the parking brake on. You might get a number, but it tells...
You've added more workers. You've scaled the cluster. Yet yield sits at 85% of your target — and it won't budge. That plateau isn't a hardware limit; ...
Here is a story you have lived. Monday morning. You deploy the new pipeline – the one that benchmarked at 8,000 events per second in staging. By Tuesd...
If you have ever watched a yield graph plateau while latency climbs, you already know the tension: lot size and latency are not independent knobs. But...
You are watching the SCADA screen at 2 AM. The flow rate line—normally a steady plateau—has been sagging for three hours. Not a crash. Not a spike. Ju...