dt-app-dashboards
Works with Dynatrace dashboards through their JSON definitions. Covers tiles, layouts, DQL queries, variables, and visualizations.
Your agent can do more. Find the skill that makes it happen.
Find your next superpower If you are an agent, refer to our llms.txt for full access.Works with Dynatrace dashboards through their JSON definitions. Covers tiles, layouts, DQL queries, variables, and visualizations.
Works with Dynatrace notebook definitions. Covers notebook sections, DQL queries, and visualizations.
Covers DQL syntax, data models, field namespaces, time alignment, entity patterns, and metric discovery. Optimizes query text through early filtering, shorter time ranges, field selection, sampling, and cardinality control.
Covers the Dynatrace JavaScript function contract, runtime limits, Web APIs, and Node.js modules. Includes credential vault integration for fetch and the @dynatrace-sdk/* catalog.
Updates classic and Gen2 entity queries using direct dimension filters where possible and Smartscape as needed. Covers entity list queries, entity subqueries, names, attributes, selectors, and relationship patterns.
Analyzes AWS compute, databases, containers, networking, storage, and messaging resources. Supports inventory, topology, security compliance, capacity planning, and cost optimization.
Covers Azure compute, databases, storage, containers, networking, messaging, and Key Vault. Supports resource usage analysis, security posture audits, and organizational management across subscriptions and resource groups.
Examines Core Web Vitals, user sessions, page performance, mobile crashes, and frontend errors. Uses user events, sessions, and frontend metrics to connect frontend behavior with backend activity.
Covers GCP compute, Kubernetes, Cloud Run, messaging, networking, DNS, IAM, and Secret Manager. Supports infrastructure monitoring, usage analysis, security posture audits, and organizational hierarchy management.
Queries CPU, memory, disk, network, container, and process metrics for infrastructure health and discovery. Builds host metric time series for anomaly detection, forecasting, and seasonality analysis, and examines OneAgent deployment details.
Analyzes Kubernetes clusters, nodes, pods, and workloads for health, capacity, scheduling, and resource optimization. Investigates restarts, OOMKills, evictions, event history, and container security posture.
Searches, filters, parses, and correlates log data. Calculates error rates and entry counts, identifies frequent error messages, and analyzes patterns and trends over time.
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