Operations | Monitoring | ITSM | DevOps | Cloud

AWS is undoubtedly one of the best Cloud service providers to run serious business out there. Reliable and cost-effective. No doubt here. But something utterly wrong with AWS is the experience on their web management console. It is so bad that thousands of developers come using Qovery every month with the only promise of - a better developer experience on top of AWS. Here are the 7 reasons why Qovery is an excellent choice for SaaS startups.

AI monitoring technologies have the potential to introduce significant cost savings for CSPs. Based on machine learning and fully autonomous, these monitoring solutions provide high ROI by dramatically reducing Time to Detection (TTR), Time to Resolution (TTR), the total number of alerts, and the number of false positives and negatives.

Finally, after 7 months of hard work - the Qovery team is proud to announce that the Qovery v2 beta is out and available for everyone. Take a look at our Community Call to get a complete overview of this new release. Here are the slides used during the Community Call.

Just launched: Push notifications via Pushover. Get outage and recovery alerts on all your devices, wherever you are... It's already weekend. Which means time away from the keyboard, and hopefully less screen-time from our always-around electronic devices. You don't want to go to dinner wondering if your online services are up and running, and also you might want to tone down the number of times you check your email. That's why we added the missing link to our alerting system.

Performance is not something you should compromise on, and it's important to have a healthy development process that improves as your application grows. If your PHP application is not super-fast, it will be much harder to scale and maintain. You need to identify errors in the early stage to fix them as soon as possible. And if you don’t know where your bottlenecks are, you can’t fix them.

As the complexity of software systems explodes, so does the amount of data that gets generated by instrumenting these systems. This poses a problem for our users — especially those who are in charge of observability teams and observability platforms at large enterprises. They have to strike the right balance between cost management and giving teams the freedom to instrument whatever they want. Often observability leaders are supporting dozens of teams that are using hundreds of dashboards.