Since mid-2020, several global factors including a drought in Taiwan and the COVID-19 pandemic have resulted in a semiconductor chip shortage, which worsened further as demand for electronics shot up during the pandemic. As offices and schools moved to homes and digital services became essential, in 2020 alone, 297 million PCs were sold, up 11% over the previous year.
Purchase order management is not done easily, it becomes more complicated when they are done manually. Manual purchase request processes lead to more complications and error chances are more & accuracy compromises. They consume lots of administrative challenging work, time, cash. Projects get deferred and disarray increments, and nobody truly realizes what is happening.
Metrics and runtime characteristics for application server monitoring are critical for the applications running on each server. Monitoring also helps to prevent or manage possible problems promptly. Apache Tomcat is one of the most widely used servers for Java applications. JMX beans or a monitoring tool like MoSKito or JavaMelody can be used in Tomcat performance monitoring.
The popularity of Prometheus speaks for itself. The project doesn’t post official numbers, but there are at least 500,000 companies using this project today as one of the most mature CNCF projects – one that has over 40k Github stars as of the writing of this blog. And since Prometheus is highly interoperable, compatibility is key. This comes into play not only with the exporters, but also with long-term storage options and alerting systems.
At Sematext, we are dedicated to making troubleshooting easier for ops teams. We knew we were doing something right when we started to receive awards and positive reviews from our customers around the globe, ranging from startups to enterprise clients across a wide range of industries. In this post, we’re listing just a few of the recognitions Sematext Cloud has received from the community via review platforms such as G2, Capterra, GetApp or SoftwareAdvice.
In the freshly released Grafana 8.4, we’ve enabled the full-range log volume histogram for the Grafana Loki data source by default. Previously, the histogram would only show the values over whatever time range the first 1,000 returned lines fell within. Now those using Explore to query Grafana Loki will see a histogram that reflects the distribution of log lines over their selected time range.
We are excited to announce that Google Cloud Managed Service for Prometheus is now generally available! Now you can get all the benefits of open source-compatible monitoring with the ease of use of Google-scale managed services.
