Metrics as a Service is a concept that combines centralization resource efficiency and maximum value extraction from data, but also and most importantly, it lowers the barrier to start using time series data to drive more accurate planning and decision making. In traditional approaches to monitoring metrics collection, much effort and overhead is placed into setting up and running the monitoring solution, with limited value extracted from the data collected. With a service model approach, we invert the pyramid, facilitating teams to adopt data processing frameworks to extract more and valuable information quickly and at minimal incremental cost.
InfluxDB was purpose-built to provide a time-series platform that operates with high performance at scale, allowing for centralized ingestion, analysis, visualization, alert and storage of all monitoring data and respective metadata collected across the organization. InfluxDB is ecosystem and cloud friendly keeping your data asset “fluid” for maximum value extraction. And most importantly, it keeps pace with the speed and analytical needs of modern environments enabling more accurate predictive modeling, intelligent alerting and priceless real-time actions.
Track and graph your Aerospike node statistics as well as statistics for all of the configured namespaces.
Knowing how well your webserver is handling your traffic helps you build great experiences for your users. Collect server statistics to maintain exceptional performance.
Collect and graph performance metrics from the MON and OSD nodes in a Ceph storage cluster.
Use the Dovecot stats protocol to collect and graph metrics on configured domains.
Easily monitor and track key web server performance metrics from any running HAProxy instance.
Gather metrics about the running Kubernetes pods and containers for a single host.
Collect and act on a set of Mesos statistics and metrics that enable you to monitor resource usage and detect abnormal situations early.
Gather and graph metrics from this simple and lightweight messaging protocol ideal for IoT devices.
Gather phusion passenger stats to securely operate web apps, microservices & APIs with outstanding reliability, performance and control.
The Prometheus plugin gathers metrics from any webpage exposing metrics with Prometheus format.
Monitor the status of the puppet server – the success or failure of actual puppet runs on the end nodes themselves.