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Automated Incident Management Systemon AWS
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.
Solution
The Multi-Tenant AWS BI SaaS Platform - centered around Amazon QuickSight and Amazon Q - delivers real-time, interactive dashboards and predictive insights without the complexity of traditional BI tools.
Whether you're empowering internal teams or delivering embedded analytics to your customers, this scalable, serverless solution ensures secure, governed access for thousands of users. Eliminate the burden of high infrastructure and licensing costs. Empower your teams with self-service analytics, intuitive natural language querying, and accelerated insights - while significantly reducing costs.
Transform how your organization leverages data with a fully managed, AI-powered Business Intelligence platform built natively on AWS.
Unlock Smarter Decisions at Scale with AWS BI SaaS Powered by Amazon QuickSight & Amazon Q
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.
Solution
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.
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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.
Connect Amazon CloudWatch, Amazon OpenSearch, Grafana, Prometheus, New Relic, LogicMonitor, Loggly, UptimeRobot, and more—normalize, dedupe, and route.
Reduce origin load and data transfer costs with targeted TTLs, cache keys, and centralized shielding.
Dashboards and alarms in CloudWatch; real-time/replayable logs; SIEM integration; clear KPIs for latency, CHR, and error rates.
Multi-channel workflows post rich alerts, spin up incident channels, and provide one-click runbooks and SDT (scheduled downtime) controls.
Launch on-demand tests from Slack or run 24/7 canaries to validate user journeys and partner widgets—store logs and screenshots in S3.
REST APIs via API Gateway with AWS WAF protection; secrets in AWS Secrets Manager; configuration in SSM Parameter Store.
Automated Incident Management System
on AWS
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.
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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.
.jpg)
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.
.jpg)
CONSISTENT, AUDITABLE WORKFLOWS
All actions and evidence are captured in S3 and CloudTrail for post-incident reviews and compliance reporting.
.jpg)
LOWER MTTR
WITH AUTOMATION
Auto-create tickets, acknowledge third-party alerts, open Slack war rooms, and trigger digital operations management platform escalation policies programmatically.
.jpg)
COST-EFFICIENT
& SERVERLESS
Pay-per-use economics across AWS services - with no instance management or idle capacity.
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.
Connect Amazon CloudWatch, Amazon OpenSearch, Grafana, Prometheus, New Relic, LogicMonitor, Loggly, UptimeRobot, and more—normalize, dedupe, and route.
Detect long-running, failed, or stuck AWS Batch jobs; notify owners with context to prevent downstream impact.
Dashboards and alarms in CloudWatch; real-time/replayable logs; SIEM integration; clear KPIs for latency, CHR, and error rates.
Multi-channel workflows post rich alerts, spin up incident channels, and provide one-click runbooks and SDT (scheduled downtime) controls.
Launch on-demand tests from Slack or run 24/7 canaries to validate user journeys and partner widgets—store logs and screenshots in S3.
REST APIs via API Gateway with AWS WAF protection; secrets in AWS Secrets Manager; configuration in SSM Parameter Store.
What’s Included
Core Monitoring Module
EventBridge routing, Lambda processors, S3 artifact storage, DynamoDB locking for safe concurrency.
Trigger canaries from Slack; receive pass/fail summaries with “View Artifacts” deep links.
Dynamic App Testing (DAT)
24/7 partner/demo link validation (60+ partners supported); auto-suppression during release windows (SDT).
Continuous DAT (CDAT)
HTTPS/TLS everywhere, WAF policies, least-privilege IAM, centralized evidence for audits.
Security & Compliance
Auto-create/reopen Jira tickets, open PagerDuty incidents, acknowledge New Relic alerts, and create dedicated Slack channels.
Incident Orchestration
Detect failures, timeouts, and transitional stalls across data pipelines and workloads.
Batch Job Monitoring
HTTPS/TLS everywhere, WAF policies, least-privilege IAM, centralized evidence for audits.
Security & Compliance
Auto-create/reopen Jira tickets, open PagerDuty incidents, acknowledge New Relic alerts, and create dedicated Slack channels.
Incident Orchestration
Detect failures, timeouts, and transitional stalls across data pipelines and workloads.
Batch Job Monitoring
24/7 partner/demo link validation (60+ partners supported); auto-suppression during release windows (SDT).
Continuous DAT (CDAT)
Trigger canaries from Slack; receive pass/fail summaries with “View Artifacts” deep links.
Dynamic App Testing (DAT)
EventBridge routing, Lambda processors, S3 artifact storage, DynamoDB locking for safe concurrency.
Core Monitoring Module
What’s Included
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.
Discovery & Design — Requirements, integrations, runbooks, policies.
Implementation — Ingestion, routing, Slack workflows, Jira/PagerDuty automation.
Synthetics & Batch — DAT/CDAT setup, batch monitors, dashboards.
Hardening & Handover — WAF tuning, docs, training, go-live.
Optional: Managed service for ongoing tuning, security reviews, and cost optimization.
