The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.
In this article, we will explain how you can monitor all your cloud service status pages in Datadog with the help of IsDown.
As a developer, how much time do you actually spend writing code? According to this survey by The New Stack, developers spend less than one-third (32%) of their time writing new or improving existing code. And this is because they get stuck in multiple tasks that aren’t really part of their main responsibilities.
If seeing is believing, then the new UI for the InfluxDB query experience is sure to convert you. We are working on a new query/script editor and want you to try it out. Feel free to share your feedback with us so we can make it even better! Here are just some of the highlights of the new editor.
We recently announced a new open source project called Grafana Phlare. This highly available continuous profiling data source is built into Grafana core, allowing you to seamlessly monitor your profiling data. With continuous profiling, you can see which parts of your applications are consuming the most resources. You can then use that data to make any necessary tweaks to reduce consumption, which translates to lower costs.
The only constant in the technology industry is CHANGE. We all know that while change may be a constant and has the potential to bring enormous benefits to an organization, change can also be incredibly disruptive. Technology trends such as Cloud, BYOD (Bring Your Own Device), virtual applications and desktops, and mobility have resulted in increased data volume, variety, velocity and complexity, and have turned IT operations management into an overwhelming challenge.
Metrics, metrics everywhere... a gauge here, a counter there... milliseconds, percentages... a list of variables running into pages... what is fast, what is slow...? how on earth is one to know...? Today we have all manner of variables around us, of differing gravity, that each have their own individual purpose in the measurement of web performance. Some of these are atomic or independent metrics, whereas others are aggregated or dependent.