We’re excited to announce that OpsRamp is now officially Nutanix Ready Certified as an AHV Integrated Technology Alliance Partner in the Nutanix Elevate Program. Our certified solution lets customers confidently discover, monitor, and automate not only their Nutanix hyperconverged infrastructure (HCI) but also their broader hybrid IT environment.
Organizations have doubled down on remote working, digital transformation, and cloud adoption to cope with the sudden onset of a global pandemic. An S&P Global survey in March 2020 found that 41% of enterprises were already “experiencing increased strain on internal IT resources” due to the coronavirus outbreak.
The popular perception of software as a service (SaaS) and cloud computing is beautifully simple: sign-up, login and start doing your work. Of course, this isn’t quite accurate; it all depends on the application, business needs and goals. Enterprise SaaS entails business requirements gathering, customizations, integrations, and training.
Mirco Hering is principal director of APAC DevOps and Agile with Accenture. He supports major public and private sector companies in Australia and overseas in their search for efficient IT delivery. Mirco blogs about IT delivery at NotAFactoryAnymore.com and is author of “DevOps For The Modern Enterprise: Winning Practices to Transform Legacy IT Organizations.”
As organizations embrace a combination of hybrid, multi-cloud, and cloud-native infrastructure to optimize business services, technology teams are struggling to control the chaos of their complex IT environments. IT operators need to piece together availability and performance data across different applications and infrastructure components to truly understand the true health of their enterprise services.
OpsRamp’s recent survey found that 91% of IT operations teams were looking to increase spending with managed service providers (MSPs). The major reasons for working with MSPs to monitor and manage hybrid infrastructure were technical expertise (63%), security know-how (52%), and cost optimization (50%).
Alert management is no longer a manageable task, given the growth in applications, cloud environments and point monitoring tools. Too much time is spent filtering and making sense of alert data and determining where to route incidents. All of these steps slow down critical issue identification and resolution. In this article, I want to discuss a more sensible, modern way to deal with IT alerts, through machine learning intelligence and automation.
