7 articles in this category
Every pipeline starts with a graph. Nodes are tasks, edges are dependencies. But when do you hardcode the graph at compile time, and when do you let i...
You roll out a new micro-batch pipeline. Throughput looks fine on dashboard number one. Then number two—latency p90 goes red. You dig. The logs say no...
So you've got a branching pipeline — maybe a CI system that runs tests in parallel, or a data processing graph — and it's slowing down. You see two ki...
You're staring at a whiteboard, boxes and arrows everywhere. Two stages could run in parallel—they touch different data, different services. But you d...
You've heard the pitch: pipeline parallelism will make your data workflow fly. Stages run in lockstep, throughput goes up, and your batch jobs finish ...
Latency is the one metric that, when it goes bad, everyone notices. Feature checklists? Nobody sees those. But a pipeline that takes three seconds ins...
Your pipeline runs. It's not broken, but it's not fast enough. Someone suggests fan-out; someone else says keep it sequential. Both camps have scars. ...