Challenges
Modern applications span microservices, third-party APIs, and global user bases. Yet incident response is often slowed by noisy alerts, manual triage, and fragmented tooling. Teams juggle signals from disparate, non-integrated monitoring and log management tools while coordinating across multiple communication and ticketing systems (e.g., Slack, Microsoft Teams, Jira). The result: delayed detection, longer MTTR, costly outages, and gaps in auditability and compliance.
The Solution
IDT’s Automated Incident Management System unifies detection, correlation, and response on AWS. Built entirely serverless, it ingests alerts from popular monitoring tools, suppresses noise, enriches context, and orchestrates Slack-first workflows that updates tickets and page on-call via digital operations management platform. No servers to manage. Elastic by design. Measurably lower MTTR.
Highlights
Multi-Source
Alert Ingestion
Connect Amazon CloudWatch, Amazon OpenSearch, Grafana, Prometheus, New Relic, LogicMonitor, Loggly, UptimeRobot, and more—normalize, dedupe, and route.
Batch & Job Monitoring
Detect long-running, failed, or stuck AWS Batch jobs; notify owners with context to prevent downstream impact.
Full Observability
Dashboards and alarms in CloudWatch; real-time/replayable logs; SIEM integration; clear KPIs for latency, CHR, and error rates.
Slack-Native Orchestration
Multi-channel workflows post rich alerts, spin up incident channels, and provide one-click runbooks and SDT (scheduled downtime) controls.
Continuous Synthetic Testing (DAT/CDAT)
Launch on-demand tests from Slack or run 24/7 canaries to validate user journeys and partner widgets—store logs and screenshots in S3.
Edge Security & Access
REST APIs via API Gateway with AWS WAF protection; secrets in AWS Secrets Manager; configuration in SSM Parameter Store.
Architecture –
AWS-Native & Serverless
Event-driven design on Lambda + EventBridge, with CloudWatch Synthetics for UX paths, DynamoDB for state/locking, S3 for artifacts, API Gateway + WAF
for secure endpoints, and CloudTrail for audit. Integrations to Slack, Jira, PagerDuty, New Relic, and others provide end-to-end orchestration without managing servers.
Benefits
FASTER DETECTION
& TRIAGE
Real signals surface quickly via monitoring tools (CloudWatch, Synthetics, EventBridge NewRelic, Loogly, Grafana, UptimeRobot, etc) rules; responders get artifacts, runbook links, and impact context in Slack.
LOWER MTTR WITH AUTOMATION
Auto-create tickets, acknowledge third-party alerts, open Slack war rooms, and trigger digital operations management platform escalation policies programmatically.
CONSISTENT, AUDITABLE WORKFLOWS
All actions and evidence are captured in S3 and CloudTrail for post-incident reviews and compliance reporting.
COST-EFFICIENT
& SERVERLESS
Pay-per-use economics across AWS services - with no instance management or idle capacity.
What’s Included
Core Monitoring Module
EventBridge routing, Lambda processors, S3 artifact storage, DynamoDB locking for safe concurrency.
Dynamic App Testing (DAT)
Trigger canaries from Slack; receive pass/fail summaries with “View Artifacts” deep links.
Continuous DAT (CDAT)
24/7 partner/demo link validation (60+ partners supported); auto-suppression during release windows (SDT).
Batch Job Monitoring
Detect failures, timeouts, and transitional stalls across data pipelines and workloads.
Incident Orchestration
Auto-create/reopen Jira tickets, open PagerDuty incidents, acknowledge New Relic alerts, and create dedicated Slack channels.
Security & Compliance
HTTPS/TLS everywhere, WAF policies, least-privilege IAM, centralized evidence for audits.
Outcomes & Success Metrics
-30–60% reduction in MTTR via automated triage and routed, enriched notifications.
-50–80% alert noise reduction using dedupe, SDT, and policy-based suppression.
-<5 minutes RTO for automated routing and channel creation on Sev-1 incidents.
-100% audit coverage of incident timelines and actions in S3/CloudTrail.
-Measurable cost savings from serverless operations and faster resolution.
Project Plan
& Timeline
Weeks 1–2
Discovery & Design — Requirements, integrations, runbooks, policies.
Weeks 2–4
Implementation — Ingestion, routing, Slack workflows, Jira/PagerDuty automation.
Weeks 4–5
Synthetics & Batch — DAT/CDAT setup, batch monitors, dashboards.
Week 6
Hardening & Handover — WAF tuning, docs, training, go-live.
Optional: Managed service for ongoing tuning, security reviews, and cost optimization.
