ClickHouse is an open source, column-oriented database management system designed for OLAP (analytical) workloads. ClickHouse supports various data formats and SQL queries, and is popular for clickstream analysis as well as log processing use cases. We are pleased to announce that ClickHouse now has a dedicated observability integration in Grafana Cloud, which makes it easy to troubleshoot issues, track potential latency, and prevent data loss.

Miquel is a Project Manager at Seidor Opentrends, focused on smart cities, data, and IoT projects. Seidor Opentrends, which is headquartered in Barcelona and has offices around the world, provides end-to-end, high quality IT transformation services and serves as a consultant on open source and software architecture for municipalities throughout Spain. At Seidor OpenTrends, we build and maintain Sentilo, an open source sensor and actuator platform for smart cities.

Patrick DeVivo is a software engineer and founder of MergeStat, an open source project that makes it possible to query the contents, history, and metadata of source code with SQL. The security posture of software supply chains has been a significant topic lately. Recent high-profile breaches have shown the importance of managing risks from third party code. Take, for example, the Log4Shell vulnerability (tracked as CVE-2021-44228 — Grafana Labs was not affected).

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?

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.

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.

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.