Operations | Monitoring | ITSM | DevOps | Cloud

We have been busy at work under the hood of the Netdata agent to introduce new capabilities that let you extend the "training window" used by Netdata's native anomaly detection capabilities. This blog post will discuss one of these improvements to help you reduce "false positives" by essentially extending the training window by using the new (beautifully named) number of models per dimension configuration parameter.

Understanding your systems’ status is essential for ensuring the reliability and stability of your applications and services. Without full awareness of what’s going on within your infrastructure, it can be difficult to manage solvable issues and to achieve reachable goals. Besides, it wouldn’t make much sense to run an app or service such as an e-store while ignoring what’s actually happening with it. How can you make any decisions that way?

MLOps (short for machine learning operations) is slowly evolving into an independent approach to the machine learning lifecycle that includes all steps – from data gathering to governance and monitoring. It will become a standard as artificial intelligence is moving towards becoming part of everyday business, rather than an innovative activity.

Hi there! If you're in the tech world, you've probably heard about the trend of companies moving from Heroku to AWS. At Qovery, we've seen an increasing demand from companies looking to make this move. And for good reasons! Here are the top 4 reasons why companies are choosing AWS over Heroku.

According to Wired, around 67% of web servers worldwide use Linux OS, and the main reason behind using Linux OS is as follows: Linux comes with better security, but still, it is susceptible to malware attacks because newly discovered vulnerabilities, you require Linux patching for your organization to witness exceptional security. The importance of Linux patching is tremendous for any organization.