IT Service Inteligence
Problems: how did it start?
With the help of ITSI, companies are able to predict service degradation and get ahead of investigation by empowering teams to move quickly before impact happens. They can analyze large amounts of structured and unstructured data in real time at scale and pull AIOps driven insights to detect problems, simplify investigations, triage issues, and accelerate resolutions.
But most of them have limitations regarding to these issues:
- Not optimized for dynamic services;
- Difficult to adapt to new data sources;
- Rigid rules and filters to normalize event streams;
- Costly and complex in implement, customize, manage and scale;
- Silos of monitoring tools and event managers.
Diagnostics in real time
With the help of a Splunk ITSI incident alerts are real time and can be even predicted 30 minutes before problems even begin and you actually have the power to prevent outages and deliver a truly seamless operations for businesses. System uses the machine learning-powered service analyzer tree to pull the right data and quickly determine the service, application, or infrastructure origin of an incident and its root cause. The built-in AIOps (Artificial Intelligence for IT Operations) solution can help you maintain uptime, reduce manual incident-management tasks and increase revenue. With data centric approach platform rapidly enhances integrated solutions based on customer success.
Security is our priority
There are number of benefits that greatly enhances the work process of the security systems, such are:
- End-to-end service visibility – data unification across it and monitoring silos for omnidirectional service insights;
- Reduced time to problem resolution – Deep understanding of service operations, notable events and in-context drill down for faster resolution;
- Proactive management of IT health – Identifying emerging operational issues and preventing service degradations in real time;
- Flexible and customizable with multiple views – Greater flexibility and manageability with a simple scalable solution.
