Ganglia vs Grafana: What are the differences?
Developers describe Ganglia as "Scalable distributed monitoring system". Ganglia is a scalable distributed monitoring system for high-performance computing systems such as clusters and Grids. It is based on a hierarchical design targeted at federations of clusters. On the other hand, Grafana is detailed as "Open source Graphite & InfluxDB Dashboard and Graph Editor". 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.
Ganglia and Grafana belong to "Monitoring Tools" category of the tech stack.
Grafana is an open source tool with 29.7K GitHub stars and 5.63K GitHub forks. Here's a link to Grafana's open source repository on GitHub.
What is Ganglia?
What is Grafana?
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Why do developers choose Ganglia?
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What are the cons of using Ganglia?
What are the cons of using Grafana?
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analyze heap dump and many logging or traces
We use Grafana to view live stats relating to our servers such as memory and CPU usage. We also use Grafana to monitor our gaming servers for data such as latency and player counts. This allows us to generate effective analytics and see when problems arise.
Everyone likes graphs, right?! This isn't a tool we actively use right now, but paired with Prometheus we want to use it to have visual monitors on things like API cluster health, status, queue stats, DB/redis query and cache stats etc.
Grafana is used in combination with Prometheus to display the gathered stats and to monitor our physical servers aswell as their virtual applications. We also use Grafana to get notifications about irregularities.
Grafana takes the data from InfluxDB and presents it in a nice flexible format. Bonus points for built-in alerts and playlists (cycles through different dashboards automatically)
- Graph report with many panels and Dashboard.
- Easy to deploy, and view performance of system.
- Intergrating with many datasource: Prometheus, CloudWatch