Grafana
Grafana is an open-source analytics and monitoring solution developed by Grafana Labs.
Grafana, first released in 2014 by Torkel Ödegaard, allows you to query, visualize, alert and understand your data through multiple data sources such as Graphite, Prometheus, Influx DB, ElasticSearch, MySQL, PostgreSQL...
The open-source nature of the solution allows you to write custom plugins to connect with any data source of our choice. Grafana provides insight into complex infrastructure and a massive amount of data with the help of customizable dashboards offering various view types such as line graphs, pie charts, histograms, heat maps...
Grafana, divided into a front end and back end, respectively written in TypeScript and Go, offers different installation options:
-On-premises, compatible with most operating systems and even with container orchestration tools like Kubernetes.
-Grafana Cloud: A cloud-native, highly available, performant fully managed open SaaS (Software-as-a-Service) metrics platform.
-Grafana Enterprise: A self-managed option for organizations that have special requirements around data localization and privacy.
- Learn more
- Official website
Related articles
Essential questions about Time Series
Categories: Big Data | Tags: Druid, HBase, Hive, ORC, Data Science, Elasticsearch, Grafana, IOT
Today, the bulk of Big Data is temporal. We see it in the media and among our customers: smart meters, banking transactions, smart factories, connected vehicles … IoT and Big Data go hand in hand. We…
By David WORMS
Mar 18, 2018
YARN and GPU Distribution for Machine Learning
Categories: Data Science, DataWorks Summit 2018 | Tags: GPU, YARN, Machine Learning, Neural Network, Storage
This article goes over the fundamental principles of Machine Learning and what tools are currently used to run machine learning algorithms. We will then see how a resource manager such as YARN can be…
By Grégor JOUET
May 30, 2018
Monitoring a production Hadoop cluster with Kubernetes
Categories: DevOps & SRE | Tags: Thrift, Shinken, Hadoop, Knox, Cluster, Docker, Elasticsearch, Grafana, Kubernetes, Node, Node.js, Prometheus, Python
Monitoring a production grade Hadoop cluster is a real challenge and needs to be constantly evolving. The software we use today is based on Nagios. Very efficient when it comes to the simplest…
Dec 21, 2018
