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Open source Graphite & InfluxDB Dashboard and Graph Editor
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What is Grafana?

Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.
Grafana is a tool in the Monitoring Tools category of a tech stack.
Grafana is an open source tool with 30.6K GitHub stars and 5.9K GitHub forks. Here’s a link to Grafana's open source repository on GitHub

Who uses Grafana?

Companies
760 companies reportedly use Grafana in their tech stacks, including Uber, DigitalOcean, and 9GAG.

Developers
1826 developers on StackShare have stated that they use Grafana.

Grafana Integrations

InfluxDB, Graphite, OpsGenie, Hosted Graphite, and OpenTSDB are some of the popular tools that integrate with Grafana. Here's a list of all 15 tools that integrate with Grafana.

Why developers like Grafana?

Here’s a list of reasons why companies and developers use Grafana
Grafana Reviews

Here are some stack decisions, common use cases and reviews by companies and developers who chose Grafana in their tech stack.

Conor Myhrvold
Conor Myhrvold
Tech Brand Mgr, Office of CTO at Uber · | 9 upvotes · 218K views
atUber TechnologiesUber Technologies
Nagios
Grafana
Graphite
Prometheus

Why we spent several years building an open source, large-scale metrics alerting system, M3, built for Prometheus:

By late 2014, all services, infrastructure, and servers at Uber emitted metrics to a Graphite stack that stored them using the Whisper file format in a sharded Carbon cluster. We used Grafana for dashboarding and Nagios for alerting, issuing Graphite threshold checks via source-controlled scripts. While this worked for a while, expanding the Carbon cluster required a manual resharding process and, due to lack of replication, any single node’s disk failure caused permanent loss of its associated metrics. In short, this solution was not able to meet our needs as the company continued to grow.

To ensure the scalability of Uber’s metrics backend, we decided to build out a system that provided fault tolerant metrics ingestion, storage, and querying as a managed platform...

https://eng.uber.com/m3/

(GitHub : https://github.com/m3db/m3)

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Gopalakrishna Palem
Gopalakrishna Palem
Kibana
Grafana

For our Predictive Analytics platform, we have used both Grafana and Kibana

Kibana has predictions and ML algorithms support, so if you need them, you may be better off with Kibana . The multi-variate analysis features it provide are very unique (not available in Grafana).

For everything else, definitely Grafana . Especially the number of supported data sources, and plugins clearly makes Grafana a winner (in just visualization and reporting sense). Creating your own plugin is also very easy. The top pros of Grafana (which it does better than Kibana ) are:

  • Creating and organizing visualization panels
  • Templating the panels on dashboards for repetetive tasks
  • Realtime monitoring, filtering of charts based on conditions and variables
  • Export / Import in JSON format (that allows you to version and save your dashboard as part of git)
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Elasticsearch
Grafana
Kibana

I use both Kibana and Grafana on my workplace: Kibana for logging and Grafana for monitoring. Since you already work with Elasticsearch, I think Kibana is the safest choice in terms of ease of use and variety of messages it can manage, while Grafana has still (in my opinion) a strong link to metrics

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Amazon CloudWatch
PagerDuty
Grafana
Graphite
StatsD
Sentry

A huge part of our continuous deployment practices is to have granular alerting and monitoring across the platform. To do this, we run Sentry on-premise, inside our VPCs, for our event alerting, and we run an awesome observability and monitoring system consisting of StatsD, Graphite and Grafana. We have dashboards using this system to monitor our core subsystems so that we can know the health of any given subsystem at any moment. This system ties into our PagerDuty rotation, as well as alerts from some of our Amazon CloudWatch alarms (we’re looking to migrate all of these to our internal monitoring system soon).

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StackShare Editors
StackShare Editors
Icinga
Graphite
Logstash
Elasticsearch
Grafana
Kibana

One size definitely doesn’t fit all when it comes to open source monitoring solutions, and executing generally understood best practices in the context of unique distributed systems presents all sorts of problems. Megan Anctil, a senior engineer on the Technical Operations team at Slack gave a talk at an O’Reilly Velocity Conference sharing pain points and lessons learned at wrangling known technologies such as Icinga, Graphite, Grafana, and the Elastic Stack to best fit the company’s use cases.

At the time, Slack used a few well-known monitoring tools since it’s Technical Operations team wasn’t large enough to build an in-house solution for all of these. Nor did the team think it’s sustainable to throw money at the problem, given the volume of information processed and the not-insignificant price and rigidity of many vendor solutions. With thousands of servers across multiple regions and millions of metrics and documents being processed and indexed per second, the team had to figure out how to scale these technologies to fit Slack’s needs.

On the backend, they experimented with multiple clusters in both Graphite and ELK, distributed Icinga nodes, and more. At the same time, they’ve tried to build usability into Grafana that reflects the team’s mental models of the system and have found ways to make alerts from Icinga more insightful and actionable.

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Bram Verdonck
Bram Verdonck
Founder at CloudvCard · | 5 upvotes · 5.1K views
atCloudvCardCloudvCard
CloudFlare
Amazon CloudWatch
Grafana

After looking for a way to monitor or at least get a better overview of our infrastructure, we found out that Grafana (which I previously only used in ELK stacks) has a plugin available to fully integrate with Amazon CloudWatch . Which makes it way better for our use-case than the offer of the different competitors (most of them are even paid). There is also a CloudFlare plugin available, the platform we use to serve our DNS requests. Although we are a big fan of https://smashing.github.io/ (previously dashing), for now we are starting with Grafana .

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Grafana's Features

  • Create, edit, save & search dashboards
  • Change column spans and row heights
  • Drag and drop panels to rearrange
  • Use InfluxDB or Elasticsearch as dashboard storage
  • Import & export dashboard (json file)
  • Import dashboard from Graphite
  • Templating

Grafana Alternatives & Comparisons

What are some alternatives to Grafana?
Kibana
Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.
Prometheus
Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.
Graphite
Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand
Splunk
Splunk Inc. provides the leading platform for Operational Intelligence. Customers use Splunk to search, monitor, analyze and visualize machine data.
NetData
Netdata is distributed, real-time, performance and health monitoring for systems and applications. It is a highly optimized monitoring agent you install on all your systems and containers.
See all alternatives

Grafana's Stats

Grafana's Followers
1692 developers follow Grafana to keep up with related blogs and decisions.
Paresh Kadam
Gianni Massi
Zohar Lorberbaum
Vamsi T
Andre Castro
Jesus Sanche
Eric Binek
Leandro Hyppolito
Antonio Javier Sánchez
ceres_tech