Automated Incident Management using Infrastructure-as-Code - code, datasets, and analysis notebooks

Read full text Summarise with VIRAT
Authors: Niyazi Gunduz, Florian Hofer, Eduardo Guerra, Nabil El Ioini, Claus Pahl
Cited by: 0

Summary

No summary yet. VIRAT can read this paper and write a plain-language summary of its aim, methods, key findings and limitations.

Summarise with VIRAT Free to try with your Science Catalogs account.

Abstract

Contains all code, datasets, and analysis notebooks for the work "Automated Incident Management using Infrastructure-as-Code", whose abstract is described below: Enterprises that manage their cloud systems through Infrastructure-as-Code (IaC) often push dozens of changes every day. Human operators create a bottleneck in managing incidents in these rapidly changing systems: incident post-mortems reveal detection latencies of tens of minutes and manual recoveries that stretch into hours. An autonomous controller is presented that provides reliable incident self-healing in a Development and Operations (DevOps) environment. This self-healing controller architecture instantiates a common autonomic computing pattern. It provides end-to-end, rule-driven self-healing for an IaC pipeline without the need for specialized hardware or proprietary IT operation platforms. It contributes to handling infrastructure incidents in a reliable and automated fashion.

Fields of Study & Subjects

Software System Performance and Reliability Cloud Computing and Resource Management Distributed systems and fault tolerance

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
16 March 2026
Language
EN