Qiao Han is a Software Engineer at BasisAI and co-author of Boxkite. He is interested in everything related to observability and has contributed to popular open source projects like libcurl and aiohttp. This post is written together with his coworker Linh Nguyen, who is a Tech Lead at BasisAI.
Back in March, we announced that Grafana Labs was partnering with Elastic to build an official Elasticsearch plugin for Grafana. As our CEO Raj Dutt wrote at the time, our “big tent” philosophy “means that we want to support data sources that our users are passionate about. Elasticsearch is one of the most popular data platforms that can be visualized in Grafana.”
At Grafana Labs, we are proud to be one of the largest code contributors to Cloud Native Computing Foundation projects. We are currently the leading company contributor to Prometheus, and also make substantial contributions to Cortex, Thanos, Jaeger, and OpenTelemetry. Our own open source projects — Grafana, Grafana Loki, and Grafana Tempo — have also become fundamental parts of the cloud native ecosystem.
GitHub, GitLab, Jira, and ServiceNow are some of the most popular software development tools out there, and Grafana has powerful integrations with each of them. Join us for a live webinar on July 29 at 9:30 PT / 12:30 ET / 16:30 UTC for a demo of these data source plugins and best practices for creating a single pane of glass for viewing your software operations metrics. You can register here.
We are happy to announce that the Kafka integration is available for Grafana Cloud, our composable observability platform bringing together metrics, logs, and traces with Grafana. Apache Kafka is an open source distributed event streaming platform that provides high-performance data pipelines, streaming analytics, data integration, and mission-critical applications.
“SLO is a favorite word of SREs,” Grafana Labs Principal Software Engineer Björn “Beorn” Rabenstein said during his talk at KubeCon + CloudNativeCon NA 2019. “Of course, it’s also great for design decisions, to set the right goals, and to set alerting in the right way. It’s everything that is good.” So what happens when things go bad?
As we look to the future of Grafana Labs and our products, we are keen to expand the ways in which we can help engineering teams build, maintain, and operate great software. We believe we can only achieve this by paying careful attention to the developer experience and the challenges faced in the real world of engineering.
Pernod Ricard is the toast of the wine and spirits industry, with a comprehensive portfolio that includes brands such as Jameson, Absolut Vodka, and Havana Club. While the $53 billion company has thrived on traditional distribution channels such as restaurants, clubs, stores, and duty-free shops, Pernod Ricard has recently focused on growing its direct-to-consumer (D2C) e-commerce business.
We recently had a hackathon at Grafana Labs. Anyone who wanted could get several work days without normal responsibilities to do whatever they found meaningful in the wider Grafana community and/or Grafana Labs commercial offerings. This allowed me to invest some time into Kraken, a project designed for reading out different sensors, and to update it for modern hardware and libraries.
Grafana presents some of the most versatile tools for visualizing and understanding the real-time performance and reliability of systems, regardless of where your data lives. But one question our customers frequently ask is, “Can I use Grafana to understand the health and performance of my business?” More often than not, our answer is yes.
