#aws-devops-agent

[ follow ]
#observability #incident-response #root-cause-analysis #agentic-ai #multi-agent-architecture #evaluations
DevOps
fromAmazon Web Services
1 week ago

From AI agent prototype to product: Lessons from building AWS DevOps Agent | Amazon Web Services

AWS DevOps Agent employs a lead-and-sub-agent architecture to provide accurate, performant incident response and root-cause analysis for native AWS applications.
Artificial intelligence
fromNew Relic
1 month ago

Resolve and prevent operational incidents with AWS DevOps Agent and New Relic

Agentic AI integration between New Relic MCP Server and AWS DevOps Agent automates telemetry correlation, root cause analysis, anomaly prediction, and remediation to reduce MTTR.
Software development
fromInfoQ
1 month ago

AWS Debuts "DevOps Agent" to Automate Incident Response and Improve System Reliability

AWS DevOps Agent is an autonomous, always-on on-call engineer that integrates with observability, deployment, and ticketing tools to automate incident response and improve reliability.
Software development
fromAmazon Web Services
1 month ago

Resolve and prevent operational incidents with AWS DevOps Agent and New Relic | Amazon Web Services

Agentic AI using New Relic MCP and AWS DevOps Agent automates telemetry correlation, root-cause analysis, and remediation to accelerate incident resolution and reduce MTTR.
fromAmazon Web Services
1 month ago

Accelerate autonomous incident resolutions using the Datadog MCP server and AWS DevOps agent (in preview) | Amazon Web Services

On-call engineers spend hours manually investigating incidents across multiple observability tools, logs, and monitoring systems. This process delays incident resolution and impacts business operations, especially when teams need to correlate data across different monitoring platforms. AWS DevOps Agent (in preview) is a frontier agent that resolves and proactively prevents incidents, continuously improving reliability and performance of applications in AWS, multicloud, and hybrid environments.
DevOps
[ Load more ]