Spotinst, the leading cloud workload management platform provider, has developed a platform that allows businesses to take advantage of the low cost of spot instances without the risk. The platform allows users to reduce their cloud compute costs by up to 90%.
Today, the Tel Aviv-based firm has announced the launch of a new service: Spotinst Spectrum. Spectrum is a cross-platform monitoring and analytics service that gives users real-time visibility into the performance, uptime and health of their applications, regardless of where those applications are located. Metrics from on-premise servers can be fed into the Spectrum platform as well as data from any cloud provider.
By gathering data from multiple components across several platforms, users are able to easily analyze application performance and troubleshoot problems from a single console. The platform makes it easy to see the relationships between different components of applications regardless of where those components are located.
Users are able to feed in standard metrics such as memory, disk, network, or CPU data, along with application-specific metrics such as application latency, number of connections, or any other variable or metric. All data can be displayed on a customizable dashboard, placing all essential data at users’ fingertips. Data can be fed into Spectrum via SDKs or simple RESTful APIs.
The platform provides a cost effective way of monitoring the performance and health of all applications. Spotinst notes that the service integrates with Elastigroup allowing metrics to be leveraged for scaling policies, allowing applications to be scaled on any parameter. The platform also integrates with other analytics services such as Grafana, allowing all data uploaded to Spectrum to be easily viewed.
The Spectrum service allows businesses to carefully monitor mission critical applications in real-time, while alerts can also be set to send notifications when a particular metric reaches a specific trigger value. Actions can also be automated based on any metric value.