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
17 developers on StackShare have stated that they use SPM.
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.
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.