In the old days of pushing tin and cardboard -- i.e., servers and packaged software -- it was comparatively easy to land a deal, hand the account from sales executive to post-sales engineering/support, then move on to the next opportunity. Today, in the cloud-enabled world, there is no more tin (unless you are a cloud or platform provider) and no more software DVDs in boxes. Software-as-a-service (SaaS) offerings require different customer engagement.
Come and learn the latest best-practices on artificial intelligence, cloud management, and the rise of the data-driven IT organization. Global public cloud spending worldwide has now topped $200 billion, according to Forrester Research. Organizations are moving to the cloud at a breakneck pace, looking for agility, flexibility, reliability and cost control.
May 2019 saw the announcement of our latest SaaS platform update - The OpsRamp Summer 2019 release which delivers several new AIOps innovations like OpsQ Observed mode, Topology context capabilities, out-of-the-box Kubernetes dashboards and an array of other features. We also launched our latest AIOps report - The State Of AIOps which gives deeper insights on how AIOps is being used by enterprises in IT today.
The OpsRamp Summer 2019 release delivers comprehensive features for modern infrastructure management with intelligent hybrid monitoring and contextual event correlation. The new release delivers AIOps innovations such as OpsQ Observed Mode and auto-alert suppression management along with enhanced network topology maps and new cloud native monitoring capabilities.
By 2021, IDC’s Worldwide CIO Agenda 2019 Predictions expects that 70% of CIOs will invest in machine learning and data science techniques for greater agility and innovation in IT operations management. In an AI-enabled future, enterprises will increasingly rely on advanced analytics to address a variety of IT operations use cases, including problem recognition, impact analysis, anomaly detection, root cause analysis, and incident resolution.
A recent survey from Capgemini revealed that while enterprise-scale automation is still in its infancy, IT automation projects are moving along (below). IT is starting to view automation less tactically, and more strategically.
This blog covers the industry press for OpsRamp’s State of AIOps Report. We’ll be reviewing the findings from this report in our upcoming webinar, The State of AIOps For Incident Management and Beyond on Wednesday, May 15th.
With the adoption of agile microservices, enterprise IT teams have rapidly transitioned from managing pets (physical and virtual servers) to cattle (public cloud services) to now chickens (containerized infrastructure). Container platforms like Docker and container orchestration engines like Kubernetes are helping IT operators drive greater agility, portability, and flexibility for scaling, managing, and optimizing microservices architectures.
As OpsRamp continues the steady drumbeat of how AIOps can transform IT operations management, the industry continues to validate our positioning with recognition, press, and more. Three recent analyst reports highlighted OpsRamp’s modern digital and IT operations management platform for dynamic performance insights and maximum visibility. The company’s inclusion in these reports validates the growing need for a unified digital operations command center.
The OpsRamp State of AIOps report confirms AIOps adoption, use cases and more. Artificial intelligence for IT operations, or AIOps, is still in its infancy. It’s only been a few years since Gartner coined the term, and yet, 30% of IT teams in large enterprises will roll out AIOps initiatives by 2023. Of course, like any new enterprise technology, the jury on measurable AIOps outcomes is still out.
