As your Kubernetes infrastructure — and your business — grows, so too does the headache of managing your stack. And since controlling costs is crucial for your organization’s well-being, you need visibility into your complex system to ensure you’re spending your money wisely. That’s why we’re excited to introduce Kubernetes cost monitoring as a new feature in Grafana Cloud.
We’re excited to introduce a dedicated Grafana Cloud integration for Apache CouchDB, a NoSQL document database that stores data in a JSON-based document format. Known for its scalability, availability, and easy replication of data across multiple servers, Apache CouchDB comes with a whole host of features designed to make it easy to run resilient distributed systems, with built-in bi-direcitonal replication allowing for simple replication across multiple servers and data centers.
Grafana is designed to visualize data in beautiful dashboards, no matter where the information lives. However, if you are considering the hosted Grafana Cloud observability stack for visualizing your data, you might run into a roadblock: network security. The problem is that some data sources, like MySQL databases or Elasticsearch clusters, are hosted within private networks.
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.
