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Ganglia
Ganglia

11
15
+ 1
0
Graphite
Graphite

284
221
+ 1
38
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Ganglia vs Graphite: What are the differences?

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; Graphite: A highly scalable real-time graphing system. Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand.

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

Graphite is an open source tool with 4.59K GitHub stars and 1.2K GitHub forks. Here's a link to Graphite'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 Graphite?

Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand
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Why do developers choose Ganglia?
Why do developers choose Graphite?
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        Jobs that mention Ganglia and Graphite as a desired skillset
        What companies use Ganglia?
        What companies use Graphite?

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        What tools integrate with Ganglia?
        What tools integrate with Graphite?

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        What are some alternatives to Ganglia and Graphite?
        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 Graphite
        StackShare Editors
        StackShare Editors
        Icinga
        Icinga
        Graphite
        Graphite
        Logstash
        Logstash
        Elasticsearch
        Elasticsearch
        Grafana
        Grafana
        Kibana
        Kibana

        One size definitely doesn鈥檛 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鈥橰eilly 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鈥檚 use cases.

        At the time, Slack used a few well-known monitoring tools since it鈥檚 Technical Operations team wasn鈥檛 large enough to build an in-house solution for all of these. Nor did the team think it鈥檚 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鈥檚 needs.

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

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        Conor Myhrvold
        Conor Myhrvold
        Tech Brand Mgr, Office of CTO at Uber | 9 upvotes 548.1K views
        atUber TechnologiesUber Technologies
        Nagios
        Nagios
        Grafana
        Grafana
        Graphite
        Graphite
        Prometheus
        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鈥檚 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鈥檚 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)

        See more
        Amazon CloudWatch
        Amazon CloudWatch
        PagerDuty
        PagerDuty
        Grafana
        Grafana
        Graphite
        Graphite
        StatsD
        StatsD
        Sentry
        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鈥檙e looking to migrate all of these to our internal monitoring system soon).

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        Interest over time
        Reviews of Ganglia and Graphite
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        How developers use Ganglia and Graphite
        Avatar of Onezino Gabriel
        Onezino Gabriel uses GraphiteGraphite

        Utilizando computa莽茫o em nuvens e o modelo de pagar pelo uso com _graphite _n贸s conseguimos analisar todos os logs de informa莽茫o gerada pelo sistema.

        Avatar of Tongliang Liu
        Tongliang Liu uses GraphiteGraphite

        Great metrics visualization tool together with StatsD.

        Avatar of wowlist
        wowlist uses GangliaGanglia

        Aggregated system monitoring.

        How much does Ganglia cost?
        How much does Graphite cost?
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