Cloud Infrastructure Startup

Automated Incident Response & Remediation

MTTR reduction

35%

alerts auto-resolved

80%

implementation

6 weeks

The Challenge

A cloud-native startup was experiencing alert fatigue with 200+ alerts per day. Mean time to resolution (MTTR) averaged 45 minutes, and engineers were spending nights and weekends responding to incidents that could be automated.

Our Solution

We built an intelligent incident response system that integrated monitoring alerts with runbook automation and ChatOps. The system analyzes alert patterns, executes automated remediation for common issues, and provides engineers with one-click resolution options for more complex incidents. All actions are logged and auditable.

Implementation

Implementation was completed in 6 weeks: Week 1-2: Alert analysis and runbook documentation Week 3-4: Build automation framework and ChatOps integration Week 5: Implement auto-remediation for top 10 incidents Week 6: Training, documentation, and gradual rollout The solution used PagerDuty for alerting, Slack for ChatOps, and AWS Lambda for runbook execution.

The Results

The impact was immediate. MTTR dropped by 35% in the first month. 80% of common alerts were resolved automatically without human intervention. On-call engineer satisfaction improved dramatically with fewer false alarms and clear remediation steps. The platform handles 160+ automated remediations per week.

Key Outcomes:

MTTR reduced by 35% (45 min → 29 min average)

80% of common alerts auto-remediated

On-call load reduced by 60%

160+ automated remediations per week

Technologies Used

PagerDuty

Slack

AWS Lambda

Python

Terraform

Datadog

Want similar results for your organization?

Let's discuss how we can help you automate and scale your operations.