What's new from Grafana Labs

You can choose to configure manually, or use a more streamlined configuration process with CloudFormation or Terraform. To send CloudWatch metrics to Grafana Cloud, you:

• Connect to your AWS account.
• Configure the connection between Grafana Cloud and your AWS account.
• Continue configuration with either CloudFormation or Terraform.
• Choose what service to monitor, what metrics to gather, the scrape interval, and what statistics to gather.
• Add any custom namespaces you want to monitor.

You can also edit or delete scrape jobs.

AWS Observability provides preconfigured dashboards embedded within the app.

You can easily access dashboards to monitor AWS costs and cloud services. For example, the following shows the billing dashboard.

Grafana AWS Observability offers an out-of-the-box, embedded experience for you to efficiently explore and analyze your Amazon EC2 data.

The list of EC2 instances is available from the Overview tab.

You can now create subtables out of your data using the new Group to nested tables transformation. To use this feature, enable the groupToNestedTableTransformation feature toggle.

We’ve made a number of small improvements to the data visualization experience in Grafana.

Geomap geojson layer now supports styling

You can now visualize geojson styles such as polygons, point color/size, and line strings. To learn more, refer to the documentation.

We’ve made a number of small improvements to the way tooltips work in Grafana. To try out the new tooltips, enable the newVizTooltips  feature toggle.

Copy on click support

PagerDuty enterprise data source plugin for Grafana allows you to query incidents data or visualize incidents using annotations.

Plugin is currently in a preview phase.

Structured metadata is a feature in Loki and Cloud Logs that allows customers to store metadata that is too high cardinality for log lines, without needing to embed that information in log lines themselves.

You can respond to and troubleshoot alerts that are firing about your Kubernetes infrastructure and the applications running within it, without leaving the context of Grafana Kubernetes Monitoring. You can start your troubleshooting either through the home page or the Alerts page.

The integration for ClickHouse is available for use with Kubernetes Monitoring.

Release v2.0.0

Explore cost information at any level within your Kubernetes infrastructure. In lists of Clusters, Nodes, namespaces, and workloads, you can switch from a usage view to a cost view to see the cost of each item in the list.

New for the Databricks datasource plugin is the schema aware SQL query builder to help you build faster queries. For general documentation on querying data sources in Grafana, see Query and transform data.

With Kubernetes Monitoring, you can effectively identify, prioritize, and handle efficiency-related issues. Efficiency data is available globally, and your troubleshooting path enables you to create an efficiency feedback loop.

The SLO App generates dashboards to help user pinpoint where they are burning their error budget, in which clusters, for example, by supporting multidimensional SLOs (SLOs that preserve one or more dimensions / label-values). The dashboards that help identify in which dimension the SLI is underperforming were previously only available for ratio-type SLOs or SLO expressions that were fairly simple.

Using Static IPs with k6 allows you to know which IP addresses will be used by the cloud instances generating load during your test runs. This allows you to whitelist these IP addresses only. Knowing the IP addresses that are used can make it easier to identify logs and traffic created specifically by the k6 load tests.