Operations | Monitoring | ITSM | DevOps | Cloud

At LogicMonitor, we deal primarily with large quantities of time series data. Our backend infrastructure processes billions of metrics, events, and configurations daily. In previous blogs, we discussed our transition from monolith to microservice. We also explained why we chose Quarkus as our microservices framework for our Java-based microservices. In this blog we will cover.

As we enter into our 4th year, we've decided to get up close and personal with our team to share with you their passion, drivers, lessons learned and significant moments of the past year. We're a young company dedicated to adding value in all corners that we reach, so we hope you find the upcoming series useful! Hey Marek, so can you tell us how long you’ve been at Dashbird and where you were before? M: I’ve been at Dashbird for two years now.

Yes, everyone is talking about the cloud, but are they actually ‘doing it’? The short answer is yes, and in stunning numbers. According to a recent O’Reilly survey, 90+% of organizations expect to increase their usage of cloud-based infrastructure. Over the next 12 months, 67% expect to shift half or more of their applications to the cloud, and 45% are planning to move three-quarters or more of their apps.

This release broadens our commitment to open standards, interoperability, and extensibility with a new generic Prometheus collector that works seamlessly with any application that makes its metrics available in the Prometheus/OpenMetrics exposition format, including support for Windows 10 via windows_exporter. Netdata will autodetect over 600 Prometheus endpoints and instantly generate charts with all the exposed metrics, meaningfully visualized.