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ease
features
design
support

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Description

The AWS DevOps Agent is a solution provided by Amazon Web Services (AWS) that functions as a self-sufficient, continuously operating operations engineer, tasked with identifying and preventing issues within your infrastructure, applications, and deployment processes. This tool autonomously analyzes your application assets and their interconnections, encompassing infrastructure, code repositories, deployment workflows, monitoring tools, and telemetry data, to synthesize information from logs, metrics, traces, deployment activities, and recent code modifications. In the event of an alert, unexpected error surge, or a help request, the DevOps Agent promptly initiates an automated analysis; it conducts incident triage around the clock, performs root-cause examinations, and offers detailed remediation strategies that can seamlessly integrate into team workflows (for instance, through Slack, ServiceNow, or PagerDuty) or directly generate support tickets with AWS. Moreover, this proactive approach ensures that potential issues are addressed before they escalate, enhancing the overall reliability of your systems.

Description

Autoheal diligently monitors alerts, formulates potential root causes, and suggests corrective measures while operating under human oversight. Additionally, it fully automates the postmortem analysis phase. Central to this process is the Production Context Graph (PCG), which serves as a dynamic and ever-evolving representation that interlinks your infrastructure, application logic, production tools, and accumulated knowledge in real-time. The PCG is created through independent exploration of your observability, cloud, and code framework, and is continually enhanced by a Reinforcement Learning mechanism as you engage with Autoheal. Built upon the PCG is a Multi-Agent Platform consisting of specialized agents that work in tandem with human operators to address production challenges effectively and safely. For AI agents aimed at production engineering to thrive in actual enterprise settings, it is essential to tackle three significant challenges. Firstly, the Context Gap: is the AI capable of navigating the disparate contexts within my organization? Secondly, the Trust Gap: can I have confidence in the AI's strict compliance with my organization's security protocols? Lastly, addressing these gaps is vital to ensuring seamless integration and reliability in complex operational environments.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

No images available

Integrations

Amazon CloudWatch
Amazon EKS
Amazon Web Services (AWS)
Datadog
Dynatrace
GitHub
GitLab
Kiro
Kubernetes
Model Context Protocol (MCP)
New Relic
PagerDuty
ServiceNow
Slack
Splunk Cloud Platform

Integrations

Amazon CloudWatch
Amazon EKS
Amazon Web Services (AWS)
Datadog
Dynatrace
GitHub
GitLab
Kiro
Kubernetes
Model Context Protocol (MCP)
New Relic
PagerDuty
ServiceNow
Slack
Splunk Cloud Platform

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/devops-agent/

Vendor Details

Company Name

Autoheal

Founded

2025

Country

United States

Website

autoheal.ai/

Product Features

DevOps

Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports

Product Features

DevOps

Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports

Alternatives

Alternatives

AutoHive Square Reviews

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