Operations | Monitoring | ITSM | DevOps | Cloud

It’s monitoring time. We all collect metrics from our system and applications to monitor their health, availability and performance. Our metrics are essentially time-series data collected from various endpoints. Then, it is stored in time series specialized databases, and then visualized in the metrics graphs we all know and love.

Following on from the recent launch of our Anomaly Advisor feature, and in keeping with our approach to machine learning, here is a detailed Python notebook outlining exactly how the machine learning powering the Anomaly Advisor actually works under the hood. Or if you’d rather watch a video walkthrough of the notebook then check out below. Try it for yourself, get started by signing in to Netdata and connecting a node.

These days technology is essential for businesses as their clients only want the best technology. Moreover, competition is high and having the best technology is significant for running daily operations successfully. Therefore, when an organization is equipped with a lot of assets in order to keep them maintained. In the market, there are several technologies available for effective asset management such as Barcode, QR Code, RFID, GPS, BLE, NFC, IoT, etc.

Machine learning has infiltrated the world of security tooling over the last five years. That’s part of a broader shift in the overall software market, where seemingly every product is claiming to have some level of machine learning. You almost have to if you want your product to be considered a modern software solution. This is particularly true in the security industry, where snake oil salesmen are very pervasive and vendors typically aren’t asked to vigorously defend their claims.

Let’s admit it: end-to-end testing is a technical challenge. How do you make features testable? What testing framework should you use? When should you run your test suite? There are so many things to learn and consider. At Checkly, we want to ease end-to-end monitoring so that you can focus on shipping excellent software instead of figuring out how you monitor and test it. But before getting into our latest feature addition, let me answer the above questions.