Björn “Beorn” Rabenstein, who recently joined Grafana Labs, is a longtime contributor to Prometheus. He recently gave talks at DevTalks Cluj and DevOpsCon Berlin about what’s been happening with the project since 2018, when it became the second project hosted by the Cloud Native Computing Foundation to graduate.
Lazy loading of dashboard panels has been a popular feature request from the Grafana community for many years, and it was finally added in v6.2. In previous versions, the moment you opened a dashboard Grafana will issue queries for every panel, even those you have to scroll to see. This can create high peaks in load to your data source backends. Meanwhile, you may never actually scroll down to look at all of those panels, so executing queries for those panels would have been pointless.
A post-geographical culture means more than putting a face to the name. Here, the Grafana Labs team is also putting a photo to the workspace. Check out the setups that have been where some of the latest Grafana releases and products have been developed. What you’ll learn is that not only is the Grafana Labs team adept at creating dashboards, supporting hosted services, and hosting conferences.
We can sift through oceans of data. Alert on predetermined parameters. Deliver multiple commits a day. But as organizations leverage these layered, complex monitoring systems, “we also have to start practicing observability to enrich the actions that we take to solve problems as they occur and drive continual improvement,” said VictorOps Product Marketing Manager Melanie Postma. VictorOps is one tool that can help accomplish that.
With AWS Lambda, you have basic observability built into the platform with CloudWatch. CloudWatch offers support for both metrics and logging. CloudWatch Metrics gives you basic metrics, visualization and alerting while CloudWatch Logs captures everything that is written to stdout and stderr. In this post, we will take a deep dive into CloudWatch Metrics to see how you can use it to monitor your Lambda functions and its limitations.
There is a lot of talk about graphing all the things, but have you ever considered graphing all the people – in particular their on calls – as well? “Not letting people burnout on call is something that is being talked about in the industry,” said Jordan J. Hamel, Design Engineer at the biotech company Amgen.
The Grafana community comes up with some pretty cool stuff, and we’re hoping to spotlight some of it from time to time. Today, we’re starting with the BigQuery datasource plugin developed by the team at DoiT International. DoiT is a reseller of Google Cloud and AWS that helps companies either move from on premise to cloud or move from one cloud provider to another.
There are transparent companies – and then there’s GitLab. “GitLab is a ridiculously transparent company,” said Ben Kochie, a Staff Backend Engineer for Monitoring at GitLab. “When GitLab has a database outage, we live stream the recovery on YouTube.” GitLab has the same bare all approach to its metrics. “All of our Prometheus metrics are available on a public Grafana dashboard,” Kochie told the crowd gathered at GrafanaCon.
Often there’s a focus on how a service is running from the perspective of the organization. But what does service health monitoring look like from the perspective of a user? There are many metrics that indicate the overall health of a container, vm, or application, but independently they do not indicate if the system is functioning correctly. Often these metrics (CPU, disk, memory) are too narrow, and they can be poor indicators. High CPU may be desirable or bursts of memory usage may be normal.
