Artificial Intelligence, Block Chain, Data Science, Data Analytics, User Interface, Mobile Applications and Gaming Software Solutions
The purpose of this policy is to define the processes for effective management of events, incidents, and problems to ensure the reliability and stability of our workloads. By clearly distinguishing and managing these occurrences, we aim to minimize downtime, resolve incidents efficiently, and address underlying problems to prevent future disruptions.
This policy applies to all systems, applications, and services managed by AIML Integrated Data solutions Private Limited and covers:
Event Monitoring and Management
Incident Management
Problem Management
Automation and Escalation Procedures
Post-Incident Reviews and Continuous Improvement
Event: An observable occurrence in a system or application. Not all events require intervention, but they may indicate a change in state that needs monitoring.
Incident: An event that disrupts normal operations or negatively impacts service performance, requiring immediate attention.
Problem: The underlying cause of one or more incidents. Problems often require investigation and corrective action to prevent recurrence.
4.1 Objectives
Monitor and categorize events to determine their impact and required response.
Use automated tools to minimize manual intervention and prioritize significant events.
4.2 Process
Detection and Classification: Use monitoring tools to detect and log events. Classify events based on severity and impact.
Response Decision: Determine whether an event requires immediate action or can be monitored. Escalate events that degrade system performance or indicate potential incidents.
Documentation: Record all events and actions taken in Pick My Venue App.
5.1 Objectives
Restore normal service operation as quickly as possible while minimizing impact.
Ensure incidents are resolved in a structured and efficient manner.
5.2 Process
Identification and Categorization: Identify incidents from escalated events. Categorize incidents based on urgency and impact.
Response and Resolution: Use the Incident Response Playbook to follow a standard resolution procedure. Involve the Incident Responder for quick action.
Escalation: If an incident cannot be resolved, escalate to higher support tiers as outlined in the escalation matrix.
Communication: Notify stakeholders and affected parties about the status, impact, and resolution timelines.
6.1 Objectives
Identify and analyze the root causes of incidents.
Implement permanent solutions to prevent the recurrence of issues.
6.2 Process
Identification: Analyze recurring incidents to determine if a systemic issue exists.
Root Cause Analysis (RCA): Conduct RCA using documented processes. Generate a Root Cause Analysis Report and develop a corrective action plan.
Corrective Actions: Implement changes to resolve the underlying problem and update response procedures as needed.
Automate Responses: Use tools like AWS Lambda to automate responses to predictable events, such as scaling or patching.
Notification and Escalation: Employ Amazon SNS for alerting and escalation. Ensure that alerts reach the correct teams promptly.
Conduct Reviews: After resolving significant incidents, conduct a post-incident review to evaluate the response and identify improvement areas.
Document Findings: Use AWS Systems Manager Automation and AWS QuickSight to compile data and report on findings.
Continuous Improvement: Update runbooks, refine processes, and train teams based on lessons learned.
Incident Responder:
Responds to incidents following the Incident Response Playbook.
Escalates unresolved incidents.
Problem Manager:
Leads problem management and RCA.
Implements corrective actions and updates processes.
Operations Manager:
Oversees event, incident, and problem management.
Conducts post-incident reviews and drives continuous improvement.