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Opserver

A monitoring system by the team at Stack Exchange, home of Stack Overflow
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What is Opserver?

It is a monitoring system by the team at Stack Exchange, home of Stack Overflow. It independently monitors several systems as well as supports pulling data for an “all servers” view with respect to CPU, Memory, Network, and hardware stats.
Opserver is a tool in the Monitoring Tools category of a tech stack.
Opserver is an open source tool with 4.1K GitHub stars and 812 GitHub forks. Here’s a link to Opserver's open source repository on GitHub

Who uses Opserver?

Companies

Developers

Opserver's Features

  • Can run under Windows, macOS, and Linux
  • Can monitor Servers/Switches, SQL Server Clusters & Single Instances, Redis, Elasticsearch, Exception Logs (from StackExchange.Exceptional), HAProxy, PagerDuty, CloudFlare DNS, and more as we go

Opserver Alternatives & Comparisons

What are some alternatives to Opserver?
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.
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.
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.
Nagios
Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.
Zabbix
Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.
See all alternatives
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