According to the Center for Climate and Energy Solutions, renewable energy is the fastest-growing energy source globally where 24 percent of the energy generated in 2015 came from renewable sources such as biomass, geothermal, solar, hydro, wind, and biofuels. This is expected to increase to 31 percent by 2040 and will heavily depend on a number of factors, including the development of technologies to make this energy source cost-effective. A number of smaller companies and newer entrants to the overall renewable energy sector are doing just that—building scalable software solutions with the use of open source tools to help optimize day-to-day operations and reduce costs.
This paper will describe the challenges that Renewable Energy Operators are faced with and how they can use open source technologies to collect data to drive insights which leads to better plant production, better operator performance and higher work satisfaction.
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.