Artificial Intelligence of it Operations (AIOPS):
Move towards an agile, intelligent, software-defined, and automated infrastructure. This provides secure self-service platforms and valuable products in a resilient, flexible, and efficient manner for the new digital business context.
Why?
Collect and analyze data continuously to identify and correct problems before they impact. This improves operational efficiency by minimizing delays and saving time and resources
When?
The rapid growth in data volumes and the pace of change driven by digital transformation makes human processing impossible, transitioning from reactive to proactive response
How?
- Participants: Machine Learning Engineer, Infrastructure Engineer, Security Specialist
Method:
- 1. Start by combining big data and machine learning to automate IT operation processes, including event correlation, anomaly detection, and causality determination.
- 2. Improve productivity by performing administration and monitoring tasks automatically, allowing you to focus on critical and higher value activities.
- 3. Detecting threats in real-time by identifying and blocking them before they cause real damage helps to maintain the confidentiality, integrity, and availability of company information.
Expected Outocome:
AIOPS capabilities for prevention, prediction, and self-healing that allow the reduction of incidents, unnecessary issues, and improving recovery times. Additionally, providing the necessary observability to customers, DevSecOps teams with delegated operation, and integrated information