Did you know that Grafana pairs well with a fine wine? That’s what machine learning company ML6 discovered when they worked with their client Accolade Wines, an award-winning Australian vintner whose goal was to decrease the waste produced in its global operations. “Accolade Wines is really focused on being as efficient as possible,” says Rebecca Brooke, ML6’s team leader in the U.K. “They’re always looking at minimizing their environmental impact.”

One of the most common dashboards for metric visualization and alerting is, of course, Grafana. In addition to logs, we use metrics to ensure the stability and operational observability of our product. This document will describe some basic Grafana operations you can perform with the Coralogix-Grafana integration. We will use a generic Coralogix Grafana dashboard that has statistics and information based on logs. It was built to be portable across accounts.

When working with observability data, a good portion of it comes in as time series data — things like CPU or memory utilization, network transfer, even application trace data. And the Elastic Stack offers powerful tools within Kibana for time series analysis, including TSVB (formerly Time Series Visual Builder). In this blog post, I’m going to attempt to demystify rates in TSVB by walking through three different types: positive rates, rate of change, and event rates.

Yesterday, my colleague Mike Elsmore wrote a blog about sending metrics to Logz.io Infrastructure monitoring – now let’s analyze them by building Grafana visualizations! Once you’ve started to send metric data to Logz.io, how do you visualize and interpret that data so that it’s useful for you? In Logz.io Infrastructure Monitoring, we use Grafana to provide dashboards and bring meaningful information to light.

Histograms are one of my favorite topics in the Prometheus universe. Last November, I delivered a talk at PromCon EU 2019 that was titled Prometheus Histograms – Past, Present, and Future. Only the part about the past had to be cut due to time constraints. But I made a promise to resurrect my talk about the history of histograms and I kept my word. In February, I premiered the Secret History of Prometheus Histograms at FOSDEM 2020.

Hello again! We are Eldin and Christine – or, as our lovely editor has dubbed us, Regis and Kelly – jumping back in for another post. This week, to highlight the big tent and community theme, we are going to write about how our Datadog plugin allows you to “see it all in one place.” Datadog is a popular monitoring and analytics platform that allows you to easily install an agent so you can get started with collecting metrics right away.

In the midst of a complex and challenging global environment, I’m proud and excited to announce General Availability for Logz.io Infrastructure Monitoring, our new metrics monitoring and analytics solution based on Grafana. Additionally, we’re supporting Early Availability for our new Distributed Tracing offering powered by Jaeger. The release represents a huge next step in our mission to provide the best open source for observability as a fully managed, cost-effective cloud service.