Incident Response System for Service Interruption Resolution
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Solution Overview
Problem
Entities face challenges in detecting and resolving service interruptions quickly, which can lead to costly revenue loss and negative impacts on customer trust due to prolonged downtime.
Innovation Solution
An incident response system is configured to detect incidents associated with service interruptions, providing information and tools to users to troubleshoot and mitigate the issue, including identifying resources and generating runbooks with manual and automated tasks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If software is placed into service quickly to innovate, then development life cycle is shortened, but service interruption frequency increases
Solution Approach 1:
The system performs preliminary actions by pre-configuring incident response playbooks, identifying relevant resources, and establishing detection rules before incidents occur. When a service interruption is detected, the system immediately executes pre-planned response procedures, reducing the time to resolve incidents while maintaining service stability through proactive preparation.
Solution Approach 2:
The system implements continuous feedback loops by monitoring service metrics, detecting incidents in real-time, executing response actions, and learning from incident outcomes. This feedback mechanism enables the system to improve its detection accuracy and response effectiveness over time, balancing rapid deployment with reliable service operation.
2Device complexity
If traditional incident detection methods are used, then system complexity is low, but detection time and resolution time increase
Solution Approach 1:
The system employs a multi-functional incident response platform that combines incident detection, resource identification, playbook execution, and automated remediation capabilities in a single unified system. This universal approach consolidates multiple functions into one system, maintaining manageable complexity while dramatically reducing incident detection and resolution times through integrated operations.
Solution Approach 2:
The system enables self-service incident resolution by automatically detecting incidents, identifying appropriate response playbooks, executing remediation actions, and notifying relevant stakeholders without requiring constant human intervention. This self-service capability reduces resolution time while keeping the system architecture relatively simple through automated workflows.
3Extent of automation
If manual incident response processes are used, then automation level is low, but resolution efficiency decreases
Solution Approach 1:
The system performs preliminary automation by pre-configuring incident response playbooks with specific remediation actions, identifying relevant resources and stakeholders in advance, and establishing detection rules before incidents occur. When incidents are detected, these pre-automated procedures execute immediately, significantly improving resolution efficiency while maintaining appropriate automation levels.
Solution Approach 2:
The system introduces an intermediary automated response layer between incident detection and manual intervention. This intermediary automatically executes predefined playbooks, coordinates resource allocation, and manages communication workflows, thereby improving resolution efficiency while allowing human operators to focus on complex decision-making rather than routine remediation tasks.
Data Source
AI summary
Technologies are disclosed for shortening and/or minimizing service interruptions. An incident service executing within a service provider network is used to detect an incident that has caused a service interruption and performs operations to assist in resolving the service interruption. The incident service may identify resources (e.g., computing resources, individuals, . . . ) to triage and remediate the service interruption. For instance, the incident service may provide information to one or more users of a customer experiencing a service interruption to assist in guiding the user(s) to address one or more problems to assist in resolving the service interruption. The information may include information such as providing one or more recommendations to configure one or more services, such as one or more actions to perform (e.g., a step-by-step runbook).