AIOPs – FAILURE PREDICTION & AUTOMATION

Predicts job failures and minimizes the impact of batch job failures by automating corrective action in response to such failures. Automation of ticke

OVERVIEW

  • Technology used: Splunk ML Toolkit and Splunk IT Service Intelligence, Salt Stack, Control-M, NOI, ICD, Tomcat.

  • Prediction of job failures and automation of corrective actions in response to batch job failures.

  • Automation of alerts and historical tickets; correlation and identification of resolution to improve resolution time.

  • Reduction of alert noise level using AIOPs-based approach to automate the creation of maintenance windows in event management tools.

KEY FEATURES

Predicts job failures and minimizes the impact of batch job failures by automating corrective action

  • Automation of ticket creation in service management tool from event management for alerts generated by critical devices/ servers; correlate with historical ticket information and update new ticket with past ticket resolution

  • Reduce alert noise level by creating maintenance windows in event management to suppress alerts during the Change window

BENEFITS

  • Reduction in manual efforts by operation personals to identify and fix issues

  • Insights into failure causes which help in understanding repeated issues and trends

  • Centralized view of real-time/ historical IT operations and service management data trends and patterns

  • Improved resolution and issue detection times

  • Reduction in alert noise level

  • Reduced impact on business service and improved availability

Our Success Stories

TRUSTED BY BUSINESS & TECHNOLOGY LEADERS

Trianz knew exactly what to do in terms of streamlining our incident and service request management process. The way Trianz provided for better, more efficient API-based interaction was exceptional.

VP of Operations

A Large Payment Processing Network Operator

It was outstanding – Trianz setting up a managed services center to support our IT infrastructure on AWS, thereby proactively and reactively addressing and resolving issues.

Senior Director, Business Automation

Retail Major

Partnering with Trianz has proved to be a one-of-its-kind experience. Especially because of it not compromising on its mandate of following industry best practices.

Director – Technology

A Leading School District In US

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