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SPM

Monitoring, Alerting, and Anomaly Detection
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What is SPM?

Cloud and On Premises Performance Monitoring, Alerting, and Anomaly Detection with Log Correlation, Events, and Custom Metrics.
SPM is a tool in the Performance Monitoring category of a tech stack.

Who uses SPM?

Companies

Developers

SPM Integrations

Node.js, MongoDB, Kubernetes, Elasticsearch, and ExpressJS are some of the popular tools that integrate with SPM. Here's a list of all 10 tools that integrate with SPM.

SPM's Features

  • Cloud and On Premises
  • Out of the box dashboards for numerous integrations
  • Alerting and anomal detection
  • Custom metrics
  • Custom events
  • Correlation with logs
  • User roles
  • Nagios, PagerDuty, and WebHooks support
  • Chart embedding and short-linking

SPM Alternatives & Comparisons

What are some alternatives to SPM?
Open PostgreSQL Monitoring
Open PostgreSQL Monitoring is a free software designed to help you manage your PostgreSQL servers.
CocoaPods
It supports almost every way you would want to get source code, git, svn, bzr, http and hg. You can use your own private code repository to manage your own dependencies. It only requires a git repo, no server necessary.
New Relic
The world’s best software and DevOps teams rely on New Relic to move faster, make better decisions and create best-in-class digital experiences. If you run software, you need to run New Relic. More than 50% of the Fortune 100 do too.
Datadog
Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!
Azure Application Insights
It is an extensible Application Performance Management service for developers and DevOps professionals. Use it to monitor your live applications. It will automatically detect performance anomalies, and includes powerful analytics tools.
See all alternatives

SPM's Followers
2 developers follow SPM to keep up with related blogs and decisions.