aws-observability
v0.1.0Observability skills for the main agent: CloudWatch metrics, logs, alarms and notifications, Application Signals, X-Ray, multi-Region CloudTrail, and application-failure troubleshooting, with CloudWatch, Application Signals, CloudTrail, and Prometheus MCP servers.
By TalkOps AILicense: Apache-2.00 GitHub starsUpdated last week
Directory evidence
- Runtimes
- Codex, Claude Code, and Agent Plugins
- Parsed components
- 11 skill or MCP entries
- Source updated
- Oct 10, 2026
- Manifest status
- Canonical path parsed
The directory validates manifest shape and source location. It does not execute the plugin or provide a security endorsement. Review the indexing methodology →
Install aws-observability for Codex and Claude Code
codex plugin marketplace add talkops-ai/devops-plugins
codex plugin marketplace upgrade talkops-devops-plugins
codex plugin add aws-observability@talkops-devops-pluginsPaste and run these commands in a terminal with Codex. They add and refresh the talkops-devops-plugins catalog, then install this plugin.
Compatibility: the page URL and API slug “aws-observability” remain stable.
- Codex:
aws-observability@agent-plugin-marketplace→aws-observability@talkops-devops-plugins
The installer fetches third-party code from the source repository shown on this page. This directory validates manifest structure and source location, but does not perform a security audit; review the manifest, components, and source before installing.
Get the source manually
git clone https://github.com/talkops-ai/devops-pluginsClone the source repository, then follow its setup instructions to add the plugin to a compatible client. The plugin root is plugins/vertical-plugins/aws-observability/.
Plugin files
├── .codex-plugin/plugin.json├── .claude-plugin/plugin.json├── plugin.json├── skills/aws-observability/SKILL.md├── skills/querying-aws-cloudwatch/SKILL.md├── skills/setting-up-cloudtrail-multi-region/SKILL.md├── skills/setting-up-cloudwatch-alarm-notifications/SKILL.md├── skills/setting-up-cloudwatch-observability/SKILL.md├── skills/troubleshooting-application-failures/SKILL.md└── .mcp.json
Included Skills6
Builds, configures, debugs, and optimizes AWS observability - operator-symptom questions and detecting Omni vs classic CloudWatch. CloudWatch on an already-reporting service: Log Insights, metric/composite/anomaly alarms, custom metrics/EMF, dashboards, X-Ray/ADOT tracing, canaries, CloudTrail, Dynamic Instrumentation (live breakpoints/snapshots), the Application Signals service map, and fleet health views. CloudWatch Omni on an existing Space: SQL over logs and traces, PromQL over metrics, Omni dashboards, Omni alerts, context graph for root cause, programmatic/IaC access (API/SDK/CLI/CloudFormation), driving Omni from a coding agent or skills, and evaluating AI agent quality from traces - on-demand and online scoring of live traffic, readback, custom evaluators. For first-time setup - creating an Omni Space, granting access, ingestion, or ADOT instrumentation for Application Signals (ServiceEvents, CI/CD metadata) or Omni - use setting-up-cloudwatch-observability. Not for app logging or threat detection.
Runs SQL queries on CloudWatch Logs data exported as Apache Iceberg tables in S3 Tables. Covers VPC Flow Logs, WAF logs, CloudFront access logs, Route 53 resolver logs, Network Firewall logs, EKS audit logs, Verified Access logs, SES logs, VPC Lattice logs, Step Functions logs, NLB access logs, and 20+ other AWS vended data sources. Applies when analyzing network traffic, investigating security incidents, querying exported logs with SQL, enabling S3 Tables integration, configuring log export, correlating logs with other data, or running Athena queries on the aws-cloudwatch table bucket. Trigger phrases: query logs with SQL, analyze logs in Athena, SQL on VPC flow logs, investigate network traffic, run SQL on exported logs, enable S3 Tables for CloudWatch, correlate logs, historical log analysis, set up log querying.
Enables a multi-region AWS CloudTrail trail with S3 log storage, CloudWatch Logs integration, and CloudWatch Logs Insights queries for security monitoring and compliance auditing. Use when setting up centralized API activity logging across all AWS regions.
Sets up notification channels for CloudWatch alarms using SNS topics and subscriptions. Always use this skill when configuring alarm notifications — it creates encrypted SNS topics, configures topic policies for CloudWatch access, sets up email/SMS/webhook subscriptions, and links alarms to notification actions with proper security controls.
Sets up CloudWatch observability for the first time - Omni (CloudWatch Application Observability) and classic CloudWatch. Omni: creating a Space or Domain; access grants (who has access, at what level) and access profiles bounding async alerts, integrations, or agents; instrumenting an app or AI agent with the plain ADOT SDK so traces reach Omni (Python/Node/Java/.NET on EC2/ECS/EKS/Lambda), incl. no-image-rebuild and .NET CoreCLR vars; ingesting Azure telemetry via the CloudWatch agent on an Azure VM or AKS; connecting Slack to a Space; whether GitHub or a custom MCP tool server (HTTP/stdio; API key, bearer, OAuth2) can be connected. CloudWatch: onboarding a service to Application Signals - ADOT auto-instrumentation, the amazon-cloudwatch-observability add-on, monitored service, reporting telemetry, ServiceEvents, CI/CD git/deployment metadata, Terraform/manifest edits. For using what is set up - queries, dashboards, alarms, Omni alerts, X-Ray, synthetics, Dynamic Instrumentation - use aws-observability.
Troubleshoots failing applications by discovering and analyzing CloudWatch log groups to identify error patterns, root causes, and actionable solutions. Use when an application is experiencing failures and log-based diagnosis is needed.
MCP servers5
- command
- uvx
- args
- awslabs.cloudwatch-applicationsignals-mcp-server@latest
- env.FASTMCP_LOG_LEVEL
- ERROR
- command
- uvx
- args
- mcp-proxy-for-aws-cli==1.7.0 https://aws-mcp.us-east-1.api.aws/mcp --skip-auth --metadata INSTALL_SOURCE=agent-toolkit-core
- command
- uvx
- args
- awslabs.cloudtrail-mcp-server@latest
- env.FASTMCP_LOG_LEVEL
- ERROR
- command
- uvx
- args
- awslabs.cloudwatch-mcp-server@latest
- env.FASTMCP_LOG_LEVEL
- ERROR
- command
- uvx
- args
- awslabs.prometheus-mcp-server@latest
- env.FASTMCP_LOG_LEVEL
- ERROR
Plugin manifests3
{
"name": "aws-observability",
"version": "0.1.0",
"description": "Observability skills for the main agent: CloudWatch metrics, logs, alarms and notifications, Application Signals, X-Ray, multi-Region CloudTrail, and application-failure troubleshooting, with CloudWatch, Application Signals, CloudTrail, and Prometheus MCP servers.",
"author": {
"name": "TalkOps AI"
},
"homepage": "https://github.com/talkops-ai/devops-plugins",
"repository": "https://github.com/talkops-ai/devops-plugins",
"license": "Apache-2.0",
"keywords": [
"aws",
"observability",
"cloudwatch",
"alarms",
"cloudtrail",
"x-ray",
"prometheus",
"troubleshooting"
],
"skills": "./skills/",
"mcpServers": "./mcp.json",
"interface": {
"displayName": "AWS Observability",
"shortDescription": "Observability skills for the main agent",
"longDescription": "Observability skills for the main agent: CloudWatch metrics, logs, alarms and notifications, Application Signals, X-Ray, multi-Region CloudTrail, and application-failure troubleshooting, with CloudWatch, Application Signals, CloudTrail, and Prometheus MCP servers.",
"developerName": "TalkOps AI",
"category": "Cloud",
"capabilities": [
"Read",
"Write"
],
"websiteURL": "https://github.com/talkops-ai/devops-plugins/tree/main/plugins/vertical-plugins/aws-observability",
"brandColor": "#FF9900"
}
}{
"name": "aws-observability",
"version": "0.1.0",
"description": "Observability skills for the main agent: CloudWatch metrics, logs, alarms and notifications, Application Signals, X-Ray, multi-Region CloudTrail, and application-failure troubleshooting, with CloudWatch, Application Signals, CloudTrail, and Prometheus MCP servers.",
"author": {
"name": "TalkOps AI"
},
"homepage": "https://github.com/talkops-ai/devops-plugins",
"repository": "https://github.com/talkops-ai/devops-plugins",
"license": "Apache-2.0",
"keywords": [
"aws",
"observability",
"cloudwatch",
"alarms",
"cloudtrail",
"x-ray",
"prometheus",
"troubleshooting"
]
}{
"$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json",
"name": "aws-observability",
"version": "0.1.0",
"description": "Observability skills for the main agent: CloudWatch metrics, logs, alarms and notifications, Application Signals, X-Ray, multi-Region CloudTrail, and application-failure troubleshooting, with CloudWatch, Application Signals, CloudTrail, and Prometheus MCP servers.",
"author": {
"name": "TalkOps AI"
},
"homepage": "https://github.com/talkops-ai/devops-plugins",
"repository": "https://github.com/talkops-ai/devops-plugins",
"license": "Apache-2.0",
"keywords": [
"aws",
"observability",
"cloudwatch",
"alarms",
"cloudtrail",
"x-ray",
"prometheus",
"troubleshooting"
]
}For maintainers
If you maintain this plugin, link to this source-backed listing from your README so users can review its manifest and indexed components.
[aws-observability on Agent Plugins Marketplace](https://pluginsmp.com/plugins/aws-observability)