On April 4, DigitalOcean introduced the supply of a monitoring service that provides builders enhanced perception into the operational well being of their DigitalOcean Droplets. Capabilities of the monitoring service embrace the power to observe the CPU of every Droplet along with disk utilization, community site visitors and prime processes. The brand new, free monitoring service signifies that DigitalOcean clients now have entry to real-time information in regards to the well being of their deployments via the platform’s automated capabilities to ship performance-related information concerning their Droplets. Out there by way of an intuitive visible interface that empowers clients to create alerts and notifications, DigitalOcean’s monitoring service permits builders to create alerts based mostly on higher and decrease bounds for metrics of curiosity as illustrated beneath:
The person pleasant monitoring interface permits sources with out scripting abilities to outline and set parameters for monitoring every Droplet, thereby democratizing the power of groups to observe the operational well being of Droplets. Furthermore, the monitoring service absolves clients of the necessity to write customized code to observe the well being of their deployments by relying, as a substitute, on an intuitive platform that accelerates the power of consumers to establish and troubleshoot efficiency points. The discharge of DigitalOcean’s monitoring service follows-up on the corporate’s launch of load balancing performance in February and marks yet one more vital step in DigitalOcean’s transformation from an IaaS platform geared primarily towards builders and startups, to at least one that may accommodate the wants of bigger functions, workloads and organizations. Provided that 2017 already options the discharge of load balancing and monitoring for its IaaS platform, current and potential clients can stay up for additional enhancements from DigitalOcean that strengthen its skill to cater to a extra numerous set of consumers and software workloads via enhanced analytic and operational performance.
