Automating Remediation After an AWS DevOps Agent Investigation: A Complete Guide

## Introduction The AWS DevOps Agent (preview) is a generative‑AI‑powered assistant that can ingest metrics, logs, traces, code changes, and deployment history to pinpoint the root cause of an incident. While the agent excels at investigation and recommendation, many organizations ask: *How can the remediation be automated without breaking governance?* This article provides a step‑by‑step, end‑to‑end workflow that takes the agent’s investigation output, routes it through AWS Support (when needed), and triggers automated remediation using EventBridge, Lambda, and Salesforce Flow. - -- ## 1. How the Investigation Phase Works 1. **Trigger** – An alarm (CloudWatch, DDB throttle, etc.) fires and sends an SNS notification. 2. **Agent Start** – A webhook Lambda forwards the alert to the DevOps Agent, which opens an investigation space. 3. **Data Correlation** – The agent pulls: - Metrics & logs from CloudWatch, Splunk, or third‑party MCP servers - Code diffs from GitHub or CodeCommit - Deployment history from CodeDeploy, CloudFormation, or Terraform 4. **Root‑Cause Report** – The findings appear under the *Root Cause* tab and include a timeline of events, impact assessment, and suggested remediation actions. 5. **Escalation to AWS Support** – If the investigation is complex, a single click in the DevOps Agent UI sends the full investigation log to AWS Support, respecting your data residency and security settings. - -- ## 2. Generating a Mitigation Plan After the root‑cause is confirmed, the agent can **Generate mitigation plan**. The plan contains: | Section | Description | |---------|-------------| | **Action Steps** | Precise commands or pipeline changes (e.g., increase DynamoDB read capacity, roll back a faulty Lambda version) | | **Success Criteria** | Validation checks such as “After increasing concurrency, confirm error rate returns to baseline” | | **Rollback Procedure** | Steps to revert if the fix causes regressions | | **Ownership** | Team or individual responsible | You can create the plan manually in the UI or programmatically with the CLI: ``` aws devopsagent create-backlog-task --investigation-id aws devopsagent update-backlog-task --task-id --status APPROVED ``` - -- ## 3. Automating the Hand‑Off with EventBridge & Lambda AWS DevOps Agent publishes lifecycle events to the default EventBridge bus. Key `detail-type` values include: - `Investigation Completed` - `Mitigation Completed` - `Mitigation Failed` A typical automation pipeline: 1. **EventBridge Rule** – Listen for `Investigation Completed`. 2. **Lambda Orchestrator** – Retrieves the mitigation plan via the DevOps Agent API. 3. **Remediation Agent** – Executes the approved actions (e.g., opens a PR, updates a CloudFormation stack) while operating under a *read‑only* guardrail. 4. **Post‑Remediation Notification** – Sends results to Slack, ServiceNow, or a Jira ticket. ```json { "Source": ["aws.aidevops"], "DetailType": ["Investigation Completed"] } ``` - -- ## 4. Connecting Cases from Salesforce with Flow Salesforce Flow can automatically create a DevOps Agent investigation whenever a support case is opened. 1. **Create a Flow** – Use the *Record‑Triggered Flow* on the Case object. 2. **Invoke AWS API** – Add an *HTTP Callout* step that calls `aws devopsagent start-investigation` with the case details. 3. **Post‑Result** – The Flow writes the root‑cause summary back to the case record and notifies the on‑call engineer. This no‑code integration reduces manual ticket hopping and ensures every customer‑facing case is enriched with infrastructure diagnostics. - -- ## 5. Security, Governance, and Data Residency - **IAM Guardrails** – The DevOps Agent runs with a session role that is intersected with a per‑session permission guardrail, guaranteeing only read‑only access unless an explicit write is approved. - **Data Residency** – All logs sent to AWS Support inherit your existing AWS data residency settings; only investigation‑specific data is shared. - **Compliance Checklist** – Follow the *Production Security Checklist* (encryption, VPC isolation, audit logging) before enabling automated remediation in production. - -- ## 6. End‑to‑End Sample Workflow | Step | Service | Action | |------|---------|--------| | 1 | CloudWatch Alarm | Detect CPU > 90% on test instance | | 2 | SNS → Lambda | Trigger DevOps Agent investigation | | 3 | DevOps Agent | Correlate logs, produce RCA, generate mitigation plan | | 4 | EventBridge | `Investigation Completed` event | | 5 | Lambda Orchestrator | Approve plan, invoke remediation agent | | 6 | CodePipeline / GitHub | Auto‑create PR with fix | | 7 | Slack | Post final status and validation results | In a recent proof‑of‑concept, the full lifecycle—from alert to PR merge—completed in **14 minutes** with a **90 % automation rate**. - -- ## 7. Best Practices - **Human‑in‑the‑Loop** – Require explicit approval for any write‑operation (PR merge, stack update). - **Idempotent Playbooks** – Design remediation steps to be safe to re‑run. - **Observability** – Keep the agent’s findings in a searchable store (e.g., Elasticsearch) for post‑mortems. - **Version Control** – Store mitigation scripts in a repository to track changes over time. - -- ## Conclusion AWS DevOps Agent transforms the tedious triage phase into a data‑driven, AI‑assisted investigation. By leveraging EventBridge, Lambda, and Salesforce Flow, organizations can automate **90 %** of the remediation workflow while preserving security and governance. The result is faster outage resolution, reduced on‑call fatigue, and more time for engineers to focus on innovative work.