See how Oracle is helping customers transform their management and security practices.
Test drive Oracle Management Cloud Log Analytics for Oracle Database in 60 minutes.
Ovum names Oracle a leader.
It's time for a new modern approach, and organizations know it.
We predict that 60% of IT organizations will move systems management to the cloud by 2020. It's a bold prediction, and for most organizations, the cloud journey has just begun. Thank you for taking a minute to understand why Oracle believes change is coming in this area so rapidly.
Current approaches to systems management don't work, and organizations know it. Surveys show that less than 10% of customers trust their monitoring strategy which is particularly disheartening given monitoring tools have had over 30 years to deliver working solutions. Furthermore, over 50% recognize that they need new solutions designed for the scale and complexity of the era of digital business, hybrid cloud, DevOps and big data.
Cloud-based management solutions can ingest and process massive amounts of structured and unstructured data without requiring any effort by customers.
A typical company has over one hundred-and-twenty monitoring tools gathering time-series metric and configuration data, and they also generate several terabytes of logs every single day. That means 120 independent data silos of uncorrelated structured data, and tons of relevant (but also un-correlated) unstructured data. Consider this - the time IT professionals spend on trying to make sense of all this data is time taken away from trying to prevent a problem or fixing an issue! The point of systems management is to manage other applications, the systems management regime itself shouldn't be a massive, custom application.
A modern solution furthermore requires a machine-learning based approach that is not so dependent on human effort. Traditional "single pane of glass" monitoring tools gather a good deal of data, but expect humans to do the heavy lifting in terms of figuring out patterns in systems behavior and relationships between various events. Machine learning algorithms using anomaly detection to identify unusual behavior, clustering to identify patterns in data that should be flagged, multivariate correlation to understand relationships between and among data sets and prediction algorithms reduce the human dependency and help to look forward rather than just backwards. A SaaS or cloud-based approach to machine learning delivers instant value, has already been tuned and comes pre-optimized for analyzing vast amounts of data.
Cloud-based management solutions can make well-tuned, intelligent and optimized machine learning available instantly to customers with essentially no effort on their part.
Given that most organizations are already unsatisfied with their current management approaches and given that a SaaS-based approach offers a low-effort way to overcome the major issues with existing approaches, it's no wonder that at Oracle, we expect 60% of IT organizations will move systems management to the cloud by 2020.
Explore the resources on this page to learn what benefits modernizing your systems management with Oracle Cloud Platform could bring to you.
Oracle Management Cloud is a suite of management services that eliminates the human effort associated with traditional solutions for monitoring, managing, and securing applications and infrastructure, and is delivered as a service in Oracle Cloud.
With Oracle Management Cloud, you can eliminate disparate silos across end-user and infrastructure data, troubleshoot problems quickly, and run IT like a business.
By leveraging Oracle Management Cloud, enterprises reduce mean time to repair, break down barriers between development and operations teams, and ensure a good user experience for critical business applications.
Oracle Management Cloud comes prebuilt with powerful machine learning algorithms to give customers smarter insights with zero effort on their part. Here are four examples of self-learning capabilities: Anomaly detection algorithms identify normal and abnormal behavior, providing early warning of problems. Clustering algorithms use pattern recognition to reduce noise and get to the right information quickly. Forecasting algorithms use historical data to provide what-if analysis and identify trends that require attention. Correlation algorithms discover dependencies, topologies, and relationships among the IT estate, no matter how often and quickly it changes.
Infosys, a multinational IT provider, uses Oracle Management Cloud to manage and secure their clients' hybrid cloud while ensuring IT compliance and governance standards are met.
Betacom uses Oracle Management Cloud to provide in-depth analysis on the health and security of their end-user client applications. Using Oracle Management Cloud, Betacom can troubleshoot issues faster and cut application downtime by as much as 50 percent.
Andrey Tambovsky, technologies director at FORS, talks about experiencing a fast and easy connect of the on-premises environment with the unified Oracle Management Cloud solution.