IDT’s Automated Incident Management System on AWS is a fully serverless, Slack-first platform that detects, correlates, and orchestrates incidents end-to-end—unifying alerts from CloudWatch, OpenSearch, Grafana/Prometheus, New Relic, LogicMonitor, Loggly, UptimeRobot, and more. It automates triage, ticketing (Jira), and on-call (PagerDuty) to cut noise and reduce MTTR while leveraging native AWS scale, security, and pay-per-use economics. Keywords: incident management, serverless, MTTR, Slack workflows, CloudWatch Synthetics.
Overview
IDT’s Automated Incident Management System on AWS centralizes detection, correlation, and response across your monitoring stack and collaboration tools. Built on Lambda and EventBridge with CloudWatch Synthetics, it normalizes and deduplicates alerts, enriches them with artifacts/runbooks, and orchestrates Slack multi-channel workflows that auto-open/refresh Jira tickets and page on-call via PagerDuty. Typical outcomes include 30–60% MTTR reduction, 50–80% alert noise reduction, <5-minute Sev-1 routing/channel spin-up, and 100% audit coverage via S3/CloudTrail. Relates to AWS Services: AWS Lambda, Amazon EventBridge, Amazon CloudWatch (incl. CloudWatch Synthetics), Amazon OpenSearch Service, Amazon DynamoDB, Amazon S3, AWS Systems Manager Parameter Store, AWS Secrets Manager, Amazon API Gateway, AWS WAF, AWS CloudTrail, and AWS Batch. Integrates with Slack, Jira, PagerDuty, Grafana/Prometheus, New Relic, LogicMonitor, Loggly, and UptimeRobot. Keywords: automated incident management, MTTR, Slack, Jira, PagerDuty, CloudWatch, EventBridge, Synthetics.
Highlights
- Serverless incident management on AWS (incident management, serverless): event-driven ingestion, dedupe, and enrichment with Lambda + EventBridge + S3 artifacts to cut noise and speed up response.
- Slack-native orchestration (Slack workflows, MTTR): spin up incident channels, push runbooks, auto-create Jira tickets, and trigger PagerDuty escalations—meeting teams where they work.
- Continuous verification (CloudWatch Synthetics): DAT/CDAT canaries validate key user journeys and partner widgets 24/7; batch/job monitors catch stuck or failed workloads before downstream impact.
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