What is AWS DevOps Agent?
AWS DevOps Agent is an autonomous AI agent that takes on the role of an on-call engineer and accelerates incident response. It belongs to the class of AWS frontier agents: autonomous agents that work independently for hours or days. When a CloudWatch alarm triggers an investigation through a webhook, or a support ticket comes in, the agent correlates metrics, logs, traces, network flow data, deployment data and recent code changes to identify the cause of an incident.
The result is a root-cause analysis together with a mitigation plan, so on-call engineers wake up to an identified cause instead of an active incident. AWS DevOps Agent reduces mean time to resolution and cuts manual investigation work across AWS, Azure, hybrid and on-premises environments. The service has been generally available since March 31, 2026.
Core capabilities
- Autonomous root-cause analysis: The agent correlates telemetry, code and deployment data across the entire stack and delivers a reasoned root-cause analysis with a mitigation plan.
- Event-driven investigation: Triggered by CloudWatch alarms (via webhook) or support tickets, the agent starts the investigation on its own without human intervention.
- Broad tool integration: Connects to observability (CloudWatch, Datadog, Dynatrace, New Relic, Splunk, Grafana), code repos (GitHub, GitLab, Azure DevOps) and ticketing/ChatOps (ServiceNow, Slack, PagerDuty).
- Multicloud and hybrid support: The agent works across AWS, Azure and on-premises, and can validate proposed fixes through Kiro or Claude Code.
Typical use cases
Automated pre-investigation: When a production incident occurs, the agent investigates the alarm on its own and delivers a root-cause analysis before the on-call team gets involved.
Accelerated incident response: By correlating logs, metrics, traces and code changes, the agent shortens the time to resolution and lowers MTTR.
Reliability in complex environments: In multicloud and hybrid architectures, the agent analyzes across AWS, Azure and on-premises and relieves teams of recurring SRE tasks.
Benefits
- Faster root-cause identification through automated correlation across the entire stack
- Relief for on-call and SRE teams on routine investigations
- Usage-based billing per agent-second with no charge for idle time
Integration with innFactory
As an AWS Reseller, innFactory supports you with the adoption and operation of this service.
Typical Use Cases
Frequently Asked Questions
What is AWS DevOps Agent?
AWS DevOps Agent is an autonomous AI agent that acts as an on-call engineer. On a CloudWatch alarm or support ticket it investigates the incident on its own, correlating metrics, logs, traces, network flow data, deployment data and recent code changes. From this it produces a root-cause analysis with a mitigation plan. The service has been generally available since March 31, 2026.
When should I use AWS DevOps Agent?
The service fits when you want to reduce mean time to resolution (MTTR) and relieve on-call teams. Typical scenarios include automated pre-investigation of production incidents, faster incident response and reliability analysis across AWS, Azure, hybrid and on-premises environments.
How much does AWS DevOps Agent cost?
Billing is usage-based per agent-second with no upfront commitment. Idle time is not charged. Customers on paid AWS Support plans (Business or Enterprise) receive monthly credits that offset part of the charges. Current pricing is published in the official AWS documentation.
Which tools does AWS DevOps Agent integrate with?
The agent integrates with observability tools (CloudWatch, Datadog, Dynatrace, New Relic, Splunk, Grafana), code repositories (GitHub, GitLab, Azure DevOps) and ticketing and ChatOps systems (ServiceNow, Slack, PagerDuty). It supports multicloud and hybrid environments and can validate fixes through Kiro or Claude Code.