How to circumvent a device ban in a mobile app?
Had a language exchange app, ended up getting banned. Now I just want an account to use the app normally.
Had a language exchange app, ended up getting banned. Now I just want an account to use the app normally.
We are evaluating OLAP databases for a new real-time analytics feature in our app. ClickHouse keeps coming up, but every review I read mentions a brutal learning curve and significant operational complexity if you want to run it in production.
I am worried that we will spend months just learning how to properly configure sort keys, materialized views, and cluster topologies before we even ship a single API endpoint to our frontend. For those running it in production: is the raw performance actually worth the engineering overhead, or are there better tools for building user-facing analytics quickly?
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?
hello All. Recently I bought a Zongheng (zhuhai) 3D priter and I have been having lots of fun. I am trying to print an RTX 5090 so I can play games more the fps but it keeps saying I don't have enough filament. Is there an easy python or HTML hack to give it infinite filament? I only know python and html but I can learn other things too. Happy matrix-ing!
We have been using Aiven for our managed Kafka and ClickHouse pipelines, and while the initial setup was easy, the cost at scale is absolutely bleeding our budget. Sustained high ingest and hourly ETLs are racking up a massive 'convenience tax'.
On top of the pricing, when our real-time pipeline inevitably hits a snag or lag spikes, debugging within their managed environment feels like a black box. We are at the mercy of their support tooling. Are there alternatives that offer a better developer experience for real-time analytics without the exorbitant pricing model as you scale to terabytes?
What’s something you discovered in cybersecurity or tech that completely blew your mind the first time you learned about it? Could be a hacking technique, a real story, or just a weird fact that made you go “what the hell”.
Our org rolled out GetDX a few quarters ago to measure 'developer experience'. At first, it seemed okay, but now the survey fatigue is real. We are constantly being asked to fill out qualitative surveys, and honestly, people are just clicking through them to get back to work, which makes the data completely unreliable.
Also, since Atlassian acquired them, I am really worried about vendor lock-in and future pricing changes. The telemetry data they pull also seems to struggle with our more complex, heterogeneous enterprise systems. Are there alternatives that do not rely so heavily on constant developer surveys to figure out what is blocking us?
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?