of production applications have bugs or errors1
yet
of businesses admit that it's their customers who are 'frequently' or 'occasionally' first to spot them1
Why? Existing monitoring solutions are slow and create too much data
The result: Only 6% of companies completely trust their monitoring strategy1
On average, organisations have:
6-10
IT operations systems of record, typically working in functional silos2.
This is clearly too many, so:
55%
of IT organisations already recognise a need for new monitoring solutions that take a more holistic view3
Oracle CEO Mark Hurd predicts that, by 2025:
80%
of production applications will run in the cloud
80%
of IT budgets will be spent on business innovation, and only
20%
will go towards system maintenance
And enterprise clouds
will be the most secure place for IT processing.
This will help your business simplify its operations and improve the performance of its applications.
75%
of heavy users of multiple cloud solutions have already implemented service-level monitoring and reporting across their full mix of public, private and hybrid cloud resources3.
Oracle Management Cloud (OMC) intelligently identifies performance issues across all your cloud resources using four types of machine learning algorithm:
Machine learning is essential for effective application performance monitoring.
Machine learning can simplify your hybrid cloud infrastructure, giving you the freedom to achieve more.
It can reach into your huge volumes of complex data and pull out the simple truths on application performance – enabling you to improve employee productivity and optimise the customer experience.