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Amazon EKS, Amazon EC2, AWS Lambda, Amazon RDS, Amazon CloudWatch, AWS CloudTrail, AWS IAM Identity Center
AI-powered DevOps Agent for automated incident investigation, root cause analysis, and remediation recommendations across multi-account AWS environments.
A leading enterprise operating workload on AWS wanted to improve operational efficiency, reduce incident resolution times, and enable proactive troubleshooting across its cloud infrastructure. The organization manages multiple AWS accounts hosting business-critical applications on Amazon EKS, Amazon EC2, AWS Lambda, and Amazon RDS. As the infrastructure expanded, the operations team faced challenges in rapidly identifying the root cause of incidents and maintaining consistent operational visibility.
Issue Mitigation Time Reduced
RCA Time Reduced
Incidents Reduced
The customer was managing workloads across multiple AWS accounts and faced challenges in quickly identifying root causes of infrastructure and application issues. Troubleshooting required manual analysis of Amazon CloudWatch logs, metrics, AWS CloudTrail events, and deployment activities, resulting in longer resolution times. The lack of centralized visibility, dependence on experienced engineers for investigation, alert fatigue, and absence of automated investigation mechanisms created operational bottlenecks as the cloud environment expanded.
• Provisioned and deployed the DevOps agent in the customer’s account with necessary permissions to interact with AWS resources and cross-account resources.
• Integrated DevOps agent with GitLab client’s source code.
• Integrated Slack notification for alerting.
• Integrated with ServiceNow to trigger automatically on incidents.
• Integrated with Grafana and Amazon CloudWatch for observability.
• Enabled AWS IAM Identity Center-based authentication for least privilege access.
• Enabled webhooks to automatically invoke agent in case of errors from Grafana.
Reduced issue mitigation time to 5 minutes from 15-30 minutes, RCA time to 5 minutes from 20-25 minutes, and decreased incidents by 10% within two months through automated investigation and proactive alerting.
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