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Ganglia
Ganglia

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Prometheus
Prometheus

998
714
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183
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Ganglia vs Prometheus: What are the differences?

What is Ganglia? 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.

What is Prometheus? An open-source service monitoring system and time series database, developed by SoundCloud. 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.

Ganglia and Prometheus can be primarily classified as "Monitoring" tools.

Prometheus is an open source tool with 25K GitHub stars and 3.55K GitHub forks. Here's a link to Prometheus's open source repository on GitHub.

- No public GitHub repository available -

What is Ganglia?

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.

What is 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.
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Why do developers choose Ganglia?
Why do developers choose Prometheus?
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      What tools integrate with Ganglia?
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      What are some alternatives to Ganglia and Prometheus?
      collectd
      collectd gathers statistics about the system it is running on and stores this information. Those statistics can then be used to find current performance bottlenecks (i.e. performance analysis) and predict future system load (i.e. capacity planning). Or if you just want pretty graphs of your private server and are fed up with some homegrown solution you're at the right place, too.
      Zabbix
      Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.
      Nagios
      Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.
      Munin
      Munin is a networked resource monitoring tool that can help analyze resource trends and "what just happened to kill our performance?" problems. It is designed to be very plug and play. A default installation provides a lot of graphs with almost no work.
      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.
      See all alternatives
      Decisions about Ganglia and Prometheus
      Joseph Irving
      Joseph Irving
      DevOps Engineer at uSwitch · | 4 upvotes · 31.4K views
      atuSwitchuSwitch
      Thanos
      Thanos
      Prometheus
      Prometheus
      Kubernetes
      Kubernetes

      We recently implemented Thanos alongside Prometheus into our Kubernetes clusters, we had previously used a variety of different metrics systems and we wanted to make life simpler for everyone by just picking one.

      Prometheus seemed like an obvious choice due to its powerful querying language, native Kubernetes support and great community. However we found it somewhat lacking when it came to being highly available, something that would be very important if we wanted this to be the single source of all our metrics.

      Thanos came along and solved a lot of these problems. It allowed us to run multiple Prometheis without duplicating metrics, query multiple Prometheus clusters at once, and easily back up data and then query it. Now we have a single place to go if you want to view metrics across all our clusters, with many layers of redundancy to make sure this monitoring solution is as reliable and resilient as we could reasonably make it.

      If you're interested in a bit more detail feel free to check out the blog I wrote on the subject that's linked.

      See more
      Conor Myhrvold
      Conor Myhrvold
      Tech Brand Mgr, Office of CTO at Uber · | 10 upvotes · 659.8K views
      atUber TechnologiesUber Technologies
      Prometheus
      Prometheus
      Graphite
      Graphite
      Grafana
      Grafana
      Nagios
      Nagios

      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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      Raja Subramaniam Mahali
      Raja Subramaniam Mahali
      Prometheus
      Prometheus
      Kubernetes
      Kubernetes
      Sysdig
      Sysdig

      We have Prometheus as a monitoring engine as a part of our stack which contains Kubernetes cluster, container images and other open source tools. Also, I am aware that Sysdig can be integrated with Prometheus but I really wanted to know whether Sysdig or sysdig+prometheus will make better monitoring solution.

      See more
      Interest over time
      Reviews of Ganglia and Prometheus
      No reviews found
      How developers use Ganglia and Prometheus
      Avatar of Scrayos UG (haftungsbeschränkt)
      Scrayos UG (haftungsbeschränkt) uses PrometheusPrometheus

      We primarily use Prometheus to gather metrics and statistics to display them in Grafana. Aside from that we poll Prometheus for our orchestration-solution "JCOverseer" to determine, which host is least occupied at the moment.

      Avatar of Tom Staijen
      Tom Staijen uses PrometheusPrometheus

      Gather metrics from systems and applications. Evaluate alerting rules. Alerts are pushed to OpsGenie and Slack.

      Avatar of HyVive
      HyVive uses PrometheusPrometheus

      We primarily use Prometheus to gather metrics and statistics to display them in Grafana.

      Avatar of Bùi Thanh
      Bùi Thanh uses PrometheusPrometheus
      • Simple operation and easy to deploy.
      Avatar of wowlist
      wowlist uses GangliaGanglia

      Aggregated system monitoring.

      Avatar of Roy Olsen
      Roy Olsen uses PrometheusPrometheus

      Predictive monitoring.

      How much does Ganglia cost?
      How much does Prometheus cost?
      Pricing unavailable
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