Red Hat Emerging Technologies
Official@redhat-et
Offers diagnostic observability and incident resolution capabilities for OpenShift, ArgoCD, and Prometheus-monitored enterprise environments.
Agent Skills by Red Hat Emerging Technologies
Showing 11 vetted skills indexed across 2 GitHub repositories.
redhat-etroot-cause-analysis
Correlate Ansible Automation Platform job logs with Splunk OpenShift pod logs.
redhat-etincident-investigator
Orchestrate logs-fetcher, root-cause-analysis, and context-fetcher to investigate incidents.
redhat-ettemplate-skill
Scaffold AIOps skills with a standard SKILL.md structure and YAML frontmatter.
redhat-etlog-fetcher
Fetch remote Ansible ETL transform logs via SSH by job number or time window.
redhat-etcontext-fetcher
Search GitHub, Confluence, and Slack for incident-related configuration, documentation, and messages.
redhat-etrca-annotator
Guide users through labeling root-cause-analysis outputs with evidence traceability.
redhat-etcheck-metrics
Query Prometheus metrics with PromQL to diagnose resource usage and platform performance.
redhat-etplatform-health
Diagnose ArgoCD, pod, service, certificate, and Istio health on the Kagenti platform.
redhat-etcheck-logs
Query and analyze Kagenti platform logs with Grafana Loki to detect errors.
redhat-etcheck-alerts
Identify and analyze firing Grafana alerts on the Kagenti platform.
redhat-etinvestigate-incident
Investigate platform incidents by gathering evidence and generating root cause documentation.
Frequently Asked Questions About Red Hat Emerging Technologies
FAQPage SchemaWhat specific tasks can engineers perform with these diagnostic capabilities?▼
Engineers can perform automated log retrieval via SSH, query Prometheus metrics using PromQL, and analyze Grafana alerts. These capabilities enable rapid evidence gathering, root cause identification, and the generation of structured documentation for platform incidents occurring within OpenShift and Kagenti environments.
Which technical personas benefit most from these diagnostic skills?▼
Site Reliability Engineers, platform operators, and incident responders benefit most from these skills. These personas utilize the provided logic to bridge the gap between infrastructure telemetry, such as pod logs and service metrics, and organizational knowledge bases like Confluence and Slack during high-pressure troubleshooting.
What are the prerequisites for deploying these diagnostic skills?▼
Deployment requires an existing OpenShift or Kagenti platform environment with configured access to Prometheus, Grafana Loki, and ArgoCD. Additionally, users must ensure SSH connectivity for log retrieval and provide authenticated access to integrated documentation sources like GitHub and Confluence to enable full context-fetching capabilities.