OpsMx ISD enables enterprises to fully automate the software delivery process, thereby eliminating need for any human intervention. ISD consists of two types of modules:
Scalable, extensible and battle tested by 1000’s of enterprises with release workflow orchestration, multi-cloud deployments, and automated roll-backs.
OpsMx Autopilot is an AI/ML-powered Continuous Verification platform that verifies software updates across different deployment stages using CI/CD pipelines, ensuring their safety and reliability in live/production environment. It automates new release verification, reducing time-consuming and error-prone manual verification processes. Autopilot uses AI and ML technologies to assess the risk of a new release, find the […]
February 19, 2021
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo. Introduction Prometheus is a popular open-source APM (application performance monitoring) tool that collects data from each of the Spinnaker Monitoring Daemons, which actively polls corresponding Spinnaker microservice instances that run in the Kubernetes containers, pods, and the underlying cluster infrastructure. Enterprises […]
December 22, 2020
This month we have made OpsMx Enterprise for Spinnaker (OES) 3.3 version generally available to all our customers. OES 3.3 offers advanced features to help Release Managers, DevOps Engineers, and Site Reliability Engineers efficiently and securely operate Spinnaker. Following are the features released as part of OES 3.3 release: Visibility: 360-degree visibility for informed decision […]
December 14, 2020
To Improve Security and Reduce Risk Combine our Data intelligence layer, Autopilot with Prometheus. Get Free Trial What is APM ? APM tools are used to monitor and track the overall health, performance, and behavior of the deployed app and the environment where it runs. For applications and microservices running in Kubernetes, Prometheus is a […]
December 4, 2020
Background: Spinnaker-monitoring daemon collects metrics exposed and reported via a built-in endpoint in each spinnaker microservice instance. Refer to all the spinnaker microservices below. Integration with a third-party event monitoring and alerting system like Prometheus allows it to record these real-time metrics in a time series database using polling (HTTP pull model). You can then use it […]
October 6, 2020
