What is HostedMetrics?
Hosted and fully managed versions of the popular open-source monitoring tools Grafana, Prometheus, and InfluxDB, packaged as turnkey solutions for application, infrastructure, and IoT monitoring.
HostedMetrics is a tool in the Monitoring Tools category of a tech stack.
GitHub, nginx, Docker, Slack, and Kubernetes are some of the popular tools that integrate with HostedMetrics. Here's a list of all 15 tools that integrate with HostedMetrics.
Why developers like HostedMetrics?
Here’s a list of reasons why companies and developers use HostedMetrics
Be the first to leave a pro
- Instant Start
- Collect and make use of metrics without the hassle of running, scaling, and maintaining a metrics platform
- Reduces costs by offering sensibly pre-configured, productive, hosted and managed tools to collect and visualize the metrics that you need to understand your systems, processes, and code
- Exceptional Support
HostedMetrics Alternatives & Comparisons
What are some alternatives to HostedMetrics?
See all alternatives
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 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 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 is a host/service/network monitoring program written in C and released under the GNU General Public License.
Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand