Modern hybrid, multi-cloud, and cloud native environments have created increased management complexity for enterprise IT teams. Dynamic and distributed applications, infrastructure and business-critical services are constantly generating more data in the form of metrics, events, and alerts.
Enterprise IT teams are dealing with the daily challenges of alert floods, point tool sprawl, and overwhelming hybrid complexity. The recent OpsRamp State of AIOps report indicated that IT professionals are using AIOps tools for productivity gains from intelligent alerting (69%), faster root cause analysis (61%), and better infrastructure performance through anomaly detection (55%).
OpsRamp delivers real-time observability that IT teams need to understand the performance and availability of business services. Given that modern digital services rely on dynamic and distributed infrastructure, it is critical to pinpoint performance issues that prevent an enterprise from delivering compelling user experiences. So how do you track the end-customer experience as well?
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.
