AWS Launches AI-Powered Observability Service, Amazon CloudWatch Omni
TECHWORLD ·
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AWS announced the launch of its AI-powered observability service, Amazon CloudWatch Omni.
The service displays logs, metrics, traces, and alarms in an integrated view at the application level and is built on OpenTelemetry.
Amazon DevOps Agent is used for investigations, and users can access it through an organization-specific URL and SSO based on IAM Identity Center.
AWS announced on the 2nd that it has launched its AI-powered observability service, Amazon CloudWatch Omni. Amazon CloudWatch Omni is a service designed to let users manage the operational status of applications and AI agents in a single environment.
The service is distinguished by its ability to display telemetry data such as logs, metrics, traces, and alarms in an integrated view at the application level. It also supports multiple teams sharing the same data and investigation context, with a focus on reducing the process of tracing root causes by moving between different tools and screens when outages occur.
The service is built on OpenTelemetry. Data already being sent to CloudWatch can be used without additional reconfiguration, and telemetry generated by other workloads can be integrated through an OTLP endpoint.
Access is designed for user access methods and collaboration-specific configuration. Users can access it through an organization-specific URL, and it supports SSO based on IAM Identity Center. As a result, developers, SREs, and database engineers without access to the AWS Management Console can still investigate issues in the same environment.
During operations, if users define key criteria such as availability targets, latency, and error rates as configuration items, the monitoring setup is automatically adjusted to match operational processes and application changes. CloudWatch Omni discovers services and dependencies and builds application topology. It then adjusts the monitoring configuration as system and application changes occur.
It also updates alarms and monitoring status when new services are added or structures change. As a result, the operational burden of maintaining dashboards and managing thresholds is reduced.
The tool used for outage investigations is the Amazon DevOps Agent. The agent analyzes the same telemetry data as engineers, detects correlated events, and tracks dependencies between services. It also suggests possible root causes and next investigation steps. When problems occur, it automatically opens an investigation session, which includes the deployment timing, changes in error rates, and context for external API latency. Correlated signals can be reviewed together on a single screen.
Even when the person in charge of the investigation is handed off, the existing analysis can be reviewed in the same session, and progress can also be tracked continuously. This allows the investigation flow to continue. The history of the incident response process is also preserved.
The preserved history is used for post-incident review. It also reduces the burden of having to reorganize separate documents for response workflows such as root cause tracing, handoffs between staff, and rollback.
CloudWatch Omni is characterized by an application-centric observability model rather than one centered on individual infrastructure resources. Based on telemetry data and AWS Config resource information, CloudWatch Omni provides automated service discovery and relationship mapping. This allows users to view the overall state of an application in terms of its connected structure.
A team space is a way of directly referencing observability data already in CloudWatch. The team space references existing CloudWatch logs, existing CloudWatch metrics, existing CloudWatch traces, and existing CloudWatch alarms. This eliminates the need for separate data migration, and the team space can be used to check the SLO of the application in charge as well as continuously monitor the application's status.
The company said Amazon CloudWatch Omni is now available. It also said that the usage path for existing CloudWatch customers is the CloudWatch console.
Source: TECHWORLD · Kim Seung-gi
Original: https://www.epnc.co.kr/news/articleView.html?idxno=407745
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Source: TECHWORLD
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