We are currently evaluating our data stack and looking into alternatives mongodb. The operational overhead and scaling costs of our current setup are becoming a bottleneck. Has anyone found a solid alternative that doesn't require a dedicated infra team? What are your experiences?
I love ClickHouse's query speed, but self-hosting it is turning into a nightmare for our small data team. Managing ZooKeeper (or ClickHouse Keeper), handling replicas, dealing with upgrades, and optimizing complex distributed tables is a full-time job.
We are spending more time fighting the database architecture than actually delivering business value. The append-only design also makes handling updates and deletes incredibly painful for our evolving data models. We need the analytical speed of ClickHouse but without the massive operational overhead and steep learning curve. What are the best alternatives for teams that want to move fast?
I keep seeing ads for Weave, an 'AI-powered engineering intelligence' platform that claims to measure 'normalized units of work' and separate human vs AI contributions.
This sounds like an absolute nightmare for engineering culture. Normalizing work into a single metric is exactly how you get developers to optimize for the metric instead of building good software. It feels like the ultimate surveillance tool disguised as 'AI insights'. Does anyone actually use this? Does it do anything other than erode trust between management and ICs by tracking every single move?
I’m putting together a training document and looking for real-world examples of bad or unclear acceptance criteria from product tickets.
If you’ve come across particularly problematic ACs, could you share them along with a bit of context on why they were ineffective or caused issues?