Operations | Monitoring | ITSM | DevOps | Cloud

This release has the version 0.1.0 and is available via our package repositories. Be sure to check the documentation on how to install it. So what is Icinga Notifications actually? It is not possible to explain every single detail now. We will eventually publish separate articles on our blog, which will go into more detail about topics this post only mentions briefly.

Whether they’re for synthetic monitoring, large-language models, or some other use case, Grafana application plugins are a fantastic way to enhance your overall Grafana experience. Data for these custom experiences can come from a variety of sources, including nested data sources. However, they can also come from third-party APIs, which usually require authentication to access.

With the release of the Data Explorer, users can now dig into the data behind any tile and slice, dice and explore as needed. This is perfect for those ad-hoc ‘scratchpad’ style scenarios where you want to get some answers without creating yet another dashboard. A couple of weeks ago, we released an awesome new feature that we haven’t had a chance to showcase yet. It’s called The Data Explorer, and I think it’s pretty cool. Let’s dive in!

Kubernetes has just reached its 10th anniversary, signifying the maturity of the containers movement. Now it’s time to explore the next frontier in cloud-native evolution: WebAssembly, a.k.a. WASM or Wasm. Moving beyond containers and Kubernetes, WASM bears the promise to revolutionize the cloud landscape with unparalleled performance, portability, and security.

Today’s distributed IT infrastructure consists of many services, systems, and applications, each generating logs in different formats. These logs contain layers of important information used for data analytics, security monitoring, and application debugging. However, extracting valuable insights from raw logs is complex, requiring teams to first transform the logs into a well-known format for easier search and analysis.

Understanding costs is an essential part of service ownership. But in cloud-based applications, the cost of any given service often comes down to a wide range of dynamic factors. Individual services can incur fees from numerous dependencies, from data stores to observability solutions, and keeping track of these expenses can mean reckoning with the intricacies of many different billing models.

Software complexity grows exponentially, developer efficiency grows far slower. And debugging often takes up 20-50% of development time. More complex, connected systems means increased data flow at the edge, and in the cloud. That leads to increased exposure to vulnerabilities, cyber threats, malfunctions, and bugs with risks that are hard to assess.