Microsoft 365 services help companies worldwide improve business and revenue by providing best in class digital workspace experience. The NiCE Active 365 Management Pack complements this by advanced M365 monitoring such as full Teams Call analysis integrated into Microsoft SCOM. Advanced monitoring and analytics help you reveal unwanted micro-events influencing the health and performance of the system and its users.
After some drawbacks we are very happy today to finally release Icinga for Windows v1.10.0! The past weeks we have spent a lot of time to polish this release, test many different aspects and optimize the user experience in general. Please make sure to read the upgrading docs carefully, before upgrading to v1.10.0. Otherwise, your installation might not work as expected, or Icinga for Windows might not load anymore.
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.
We are happy to announce that file provisioning for Grafana Alerting has arrived in Grafana 9.1. This feature enables you to configure your whole alerting stack using files on disk, as you may already do with data sources or dashboards. The Terraform Grafana provider has also been updated to allow the provisioning of Grafana Alerting resources.
With the Grafana 8.5 release, we introduced the concept of service accounts. Now with the Grafana 9.1 release, we’re making service accounts generally available. This is a project that came out of technical necessity, but it has given us the opportunity to reflect on API tokens and machine-to-machine interaction across Grafana Labs.
In Enterprise Search 8.4, hybrid ranking for vector similarity is now available from the main querying endpoint, commonly known as the _search Elasticsearch endpoint. Introduced as a standalone query endpoint in 8.0, vector querying functionality (specifically, kNN vector similarity) greatly simplifies and accelerates the process of crafting and issuing queries that leverage the native vector querying capabilities of Elasticsearch along with the tried-and-tested traditional scoring algorithms.
Streaming time series data from brokers and services that are on-premises or in the cloud to a cloud-based database is a resource-intensive process requiring third-party software and heavy customizations. Today we’re announcing InfluxDB Native Collectors to make it easy for developers to collect, process, and analyze data by subscribing directly to supported message brokers.
In the monitoring industry there’s a complicated and frustrating conversation that persisted over the years: how do you deal with the enormous volume of data generated by instrumentation? On one side of the aisle, you will find a cohort of vendors and developers telling you that you have to sample data, followed immediately by another group telling you that sampling will ruin the accuracy of incident analysis. They’re both right.
