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Dashboards

Virtual Meetup: Building a COVID-19 Dashboard for Non-Programmers + Inside the COVID-19 data

This session comprises of two talks by community members, catering to audience of varying tech skills. Talk 1: Building a COVID-19 Dashboard for Non-Programmers We will use Kibana to build a Covid-19 dashboard using the "Upload CSV" feature. The dashboard will feature tables, bar charts, line graphs and pie charts. We will use existing publicly available data and show easy it is to build and share dashboards

How ML6 used Grafana to deliver a 200% ROI for Accolade Wines

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.”

Getting Started with Grafana Dashboards using Coralogix

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.

Visualizing observability with Kibana: Event rates and rate of change in TSVB

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.

Logz.io Infrastructure Monitoring: Building Grafana Visualizations

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.

How histograms changed the game for monitoring time series with Prometheus

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.