Back in May, we announced the Kubernetes integration to help users easily monitor and alert on core Kubernetes cluster metrics using the Grafana Agent, our lightweight observability data collector optimized for sending metric, log, and trace data to Grafana Cloud. The integration allows Grafana Cloud users to monitor and alert on Kubernetes cluster metrics. Since the original release, we’ve added new features and enhancements to help our users go even further.
Grafana 8.3 is here! This is an exciting release for Grafana Labs. This release includes the new Candlestick panel, a new visualization suggestions engine, support for AWS Metrics Insights and, for our Grafana Enterprise users, recorded queries. Get 8.3 You can get started with Grafana in minutes with Grafana Cloud. Here’s a closer look at the important new features in 8.3.
We heard that you love telling complex data stories by building beautiful dashboards on Splunk Dashboard Studio. Now get these dashboards into the hands of even more users anywhere at any time with Dashboard Studio on Splunk Mobile and Splunk TV.
If a picture is worth a thousand words, then a well-done data visualization is worth a million. The quality of a dashboard can make or break an application. In this tutorial, you will learn how to make high-quality data visualizations easily by using the Nivo charting library with ReactJS. You will also learn how to query data stored in InfluxDB to make your charts dynamic and versatile.
Performance testing is an essential component of building fast and reliable web services. Until recently, this testing typically happened later in the development process and was often performed by a separate team or even a third party. But speed is the competitive advantage for companies, and prioritizing testing during the development process can speed time to market for new applications.
There can be as many as 64 important business metrics for your company to track (according to nTask). That can sound daunting. But if your organization doesn’t have the capacity to track all of them, it should at least track the most important ones according to its business model, stage and focus areas. For example, key product metrics not only provide information to product managers, but also other relevant stakeholders across the organization.
When you’re a sports betting technology company and you realize your in-house, on-prem Graphite solution for monitoring metrics is no longer a sure-thing, what do you do? That was the dilemma at Kambi, a quickly growing business – with a passion for using open source technology – that has about 500 different micro services in production and around 200,000 incoming metrics messages per second.
