Here at Grafana Labs, when we’re building integrations for Grafana Cloud, we’re often thinking about how to help users get started on their observability journeys. We like to focus some of our attention on the different technologies you might come across along the way. That way, we can share our tips on the best ways to interact with them while you’re using Grafana products.
On Oct. 5, we hosted the first Grafana Virtual Meetup for an EMEA-based audience. Each Grafana meetup features “bite-sized” presentations from our user community and members of the Grafana Labs team. We want to provide opportunities (even virtually!) for members of our community to connect with one another and share what they’re working on or have learned.
At GrafanaCONline in June, we talked about the future of machine learning at Grafana Labs. Four months later, we are excited to introduce Grafana Machine Learning for Grafana Cloud, with our metrics forecasting capability. It’s available now to all customers on Pro or Advanced plans. If you’re not already using Grafana Cloud, you can sign up for a free 14-day trial of Grafana Cloud Pro here.
Production readiness review (PRR) is a process that originated at Google, described as the first step of site reliability engineering engagement in the company’s famous SRE book. The idea of thoroughly reviewing a product before handing over the pager is a really good one, but except for Google-scale companies, there aren’t that many organizations that can afford dedicated SRE teams.
Grafana 8.2 was released last week, and we’re excited to announce one of its new features: contact point testing. Now users of Grafana 8 alerting can test their contact points right from the contact points page. This feature makes it easier to configure Grafana 8 alerting and gives you the confidence in knowing that your contact points are working as expected before they fire. Here are the basics.
Grafana 8.2 is here! This release marks the start of our work focused on measurable improvements to Grafana’s accessibility — part of our continuing mission to democratize metrics for everyone. The initial changes to Grafana in 8.2 are focused on navigation, with more to come. We’ll be sharing more about our accessibility roadmap in an upcoming blog post.
When top companies have needed platforms for their demanding, globally distributed, cloud native application environments and streaming data pipelines, they’ve turned to Akka, the most popular implementation of the Actor Model for cloud native applications running on Kubernetes. The company behind Akka is Lightbend, a leader in the world of cloud native applications and architectures.
Not so long ago, development teams working for the U.S. Department of Defense could take anywhere from three to ten years to deliver software. “It was mostly teams using waterfall, no minimum viable product, no incremental delivery, and no feedback loop from end users,” Nicolas M. Chaillan, Chief Software Officer of the U.S. Air Force, said in a CNCF case study. “Particularly when it comes to AI, machine learning, and cybersecurity, everyone realized we have to move faster.”
Good news for Salesforce users: With the new Salesforce plugin for Grafana, available now with an Enterprise license, you can instantly visualize your SFDC data in Grafana dashboards. Plus, Grafana allows you to visualize the Salesforce data alongside all sorts of other data. One interesting use case is correlating sales data to system metrics and logs, which would be valuable if your company uses any software systems at all to help generate revenue.
One of the experiences I’ve truly enjoyed over my first year as a senior solutions engineer here at Grafana Labs has been learning from our community and customers about their own Grafana journeys. I’ve been impressed by some remarkable dashboards for home automation, personal health data visualizations, family Minecraft statistics, and energy usage projects.
