Over the last decade, log management has been largely dominated by the ELK Stack – a once-open source tool set that collects, processes, stores and analyzes log data. The ‘k’ in the ELK Stack represents Kibana, which is the component engineers use to query and visualize their log data stored in Elasticsearch. Sadly, in January 2021, Elastic decided to close source the ELK Stack, and as a result, OpenSearch was launched by AWS as an open source replacement.
Before attending Icinga Berlin in May this year, Daniel Bodky and Markus Opolka from our partner NETWAYS developed the very first Icinga Kubernetes Helm Charts and released it in an alpha version. If you have ever wanted to deploy an entire Icinga stack in your Kubernetes cluster, now is your chance. I also want to highlight Daniel’s talk again on how Icinga can run on Kubernetes and the challenges involved.
In this article, we will see how we can integrate an Azure data source with Graphite and Grafana. This will allow us to monitor metrics from the applications hosted in the Azure cloud on a Grafana dashboard. We will also see how to integrate Azure Active Directory with MetricFire’s Hosted Graphite and Grafana. You don’t need fully functional cloud services running with Azure to understand this article, but it assumes that you have basic familiarity with Azure Cloud.
The world of AI and machine learning has evolved at an accelerated pace these past few years, and the advent of ChatGPT, DALL-E, and Stable Diffusion has brought a lot of additional attention to the topic. Being aware of this, Grafana Labs prepared an integration for monitoring one of the most used machine learning model servers available: TensorFlow Serving. TensorFlow Serving is an open source, flexible serving system built to support the use of machine learning models at scale.
Grafana Cloud, our composable observability platform, is billed based on usage. A common question we get is: “How much will it cost to monitor N servers?” Well, the recently expanded Grafana Cloud Free tier includes up to 10,000 active series. To help you understand what that translates to in terms of time series requirements, here’s a rough guide to estimating what you’ll need.
Grafana is a powerful open-source visualization solution that provides valuable insights into the performance of infrastructure, applications, and servers. With customizable visualizations and support for diverse data sources and formats, Grafana allows IT teams to collect and visualize data from various sources.
Grafana creator Torkel Ödegaard will never forget the very first GrafanaCON in 2015, when he shared some big news with the audience gathered in New York City. “I’ll always remember standing on stage and announcing that we just reached 12,000 instances and being super proud because it was just a couple of months after we started tracking these numbers,” says Torkel, who also launched Grafana Labs with co-founders Raj Dutt and Anthony Woods in 2014.
