To ensure the best possible end-user experience, engineering teams must be able to seamlessly transition from performance testing to problem resolution, breaking down any silos that exist between the two. That’s why, earlier this year, Grafana Labs launched Grafana Cloud k6, a unified platform that natively integrates the Grafana k6 performance testing experience directly into Grafana Cloud.
Snowflake is a cloud-based data warehousing platform that allows organizations to store, manage, and analyze large amounts of data. It offers a scalable, secure, and highly available solution that separates storage and computing resources. We already offer the Snowflake datasource plugin, which allows you to query and visualize data from your Snowflake Data Cloud on your Grafana dashboards.
Since Kubernetes Monitoring launched in Grafana Cloud last year, we have introduced highly customizable dashboards and powerful analytics features. We’ve also focused on how to make monitoring and managing resource utilization within your fleet easier and more efficient. But what’s an easy way to add resources to your cluster while using Kubernetes Monitoring?
GitLab is a popular open source DevSecOps platform for software development. The Enterprise Edition is a web-based Git repository manager that allows teams to collaborate on code and automate workflows for building, testing, and deploying applications. We already offer the Gitlab datasource plugin, which allows you to query and visualize data from your GitLab instance on your Grafana dashboards.
As the largest liquidity network in crypto, Paradigm facilitates more than $11 billion in monthly volumes, representing nearly 40% global cryptocurrency option flows. Their free-to-use platform provides a single point of access to multi-asset, multi-instrument liquidity on demand, and Software Architect Jameel Al-Aziz leads the team of developers who build and maintain the platform.
Because of where you’re reading this post, I’m going to assume you already know that Grafana is a great tool for visualizing and presenting metrics, and persisting them on dashboards. Ever since the Grafana Loki query builder for LogQL was introduced in 2022, it’s been easy to display and visualize logs, too.
Organizations are dealing with an explosion of metric data as they shift to cloud native architectures and adopt tools like Prometheus and Kubernetes. This in turn can lead to surges in spending on observability metrics. So while teams want a way to scale out metrics adoption to improve their observability — and thus, improve system performance and reliability — they also need to be mindful of skyrocketing costs that could scuttle those efforts before showing meaningful results.
Linux is a popular open source operating system used by developers, businesses, and individuals around the world. Linux is known for its flexibility, security, and reliability, making it an excellent choice for servers, desktops, and embedded devices.
The Canvas panel, which will be Generally Available in Grafana 10, combines the power of Grafana with the flexibility of custom elements. Canvas visualizations are extensible, form-built panels you can use to explicitly place elements within static and dynamic layouts. This empowers you to design custom visualizations and overlay data in ways that aren’t possible with standard Grafana panels, all within Grafana’s UI.
Oracle Database is an enterprise multi-model database system capable of handling large amounts of data across multiple database servers with support for a wide variety of workloads. It’s a widely used and proven database software, so we are incredibly pleased to announce that it now has a dedicated cloud integration in Grafana Cloud. With the Oracle Database (OracleDB) integration, you can monitor your database’s performance with ease.
