OpsRamp offers different options to manage user identity, including built-in user management, SAML, and OAuth2 based authentication, and third-party authentication services. The OpsRamp Okta integration enables secure user authentication and seamless access without having to remember multiple passwords or re-enter login details.
The third quarter of 2019 has seen OpsRamp receive market recognition from three independent analyst firms, Digital Enterprise Journal, 451 Research, and Gartner. Leading media publications, DevOps Online News and ITOps Times, have also highlighted OpsRamp’s capabilities for DevOps and IT Operations Analytics.
The following first appeared in Cloud Tech News. In early June 2019, Google Cloud suffered a cascading set of faults that rendered multiple service regions unavailable for a number of hours. This by itself isn’t totally unprecedented; what made it significant was the way it propagated through the very software that was designed to contain it. Moreover, engineers’ initial attempts to correct the issue were thwarted by the failure of that same software architecture.
Digital Enterprise Journal (DEJ) just released their latest market study, The Roadmap to Becoming a Top Performing Organization in Managing IT Operations. DEJ surveyed 900+ organizations to uncover the best practices and capabilities of the top 20% of IT operations teams. The thirty-three-page report uncovers how top performing IT organizations (TPOs) are reaping operational and business benefits in the form of...
The August 2019 release introduced several platform updates for enhanced service-centricity with improved topology maps, machine learning transparency for intelligent event management, real-time visibility for public cloud monitoring, and deeper integrations.
Analyst firm Gartner recently predicted that “75% of all databases will be deployed or migrated to a cloud platform by 2022, with only 5% ever considered for repatriation to on-premises.” Enterprise architects are deploying analytics, artificial intelligence, and machine learning workloads on cloud database platforms for greater scalability and lower operational overhead.
