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Storm.dev

Manage, monitor and stress test your web resources
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What is Storm.dev?

Monitor your web resource status, get notifications in real time, load test on your web app, Endpoint Health services and Dynamic DNS You just have to install the storm client on your servers and throw away the access key, you will no longer need the shell, do everything from our dashboard. You can extend the node agent at will by creating customized plugins, or use our constantly evolving archive. You can run any command on your node, receive data, view it in graphs and receive notifications in real time. You can create concatenate commands by creating WORKFLOW without writing a line of code.
Storm.dev is a tool in the Load and Performance Testing category of a tech stack.
Storm.dev is an open source tool with 11 GitHub stars and 1 GitHub forks. Here’s a link to Storm.dev's open source repository on GitHub

Who uses Storm.dev?

Developers

Storm.dev Integrations

Storm.dev's Features

  • Load Test web application
  • Host monitoring
  • Run Host Command
  • Concatenate commands workflow
  • Endpoint health check
  • Dynamic DNS
  • DNS checker

Storm.dev Alternatives & Comparisons

What are some alternatives to Storm.dev?
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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.
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