Sentry recently launched Performance Issues, a feature to help developers discover and fix common performance problems in their projects. We tested this project internally and with alpha users, so when we finally turned it on for all Sentry users, we were delighted (and dismayed) to hear from Carlton Gibson, current Django fellow and great human, that Sentry had.
Don’t forget, it’s the hardware that makes the cloud The main issues we see with clients and cloud implementations are that it can be very difficult for them to get a clear idea of what it is they are buying and how well it will perform. While the consumption and billing models are clear, it can still be hard to know how much you will pay each month. But what is hard is predicting exactly what the level of performance you will get. Some of this is inevitable.
As the rapid digital transformation has put a lot of pressure on IT organizations to be more proactive and agile, DevOps principles and practices have been an invaluable resource. However, to remain at the top of the game, organizations need an even stronger solution. So, what’s the answer? AIOPs (artificial intelligence for IT operations), of course!