dapr-observability-setup
Configure OpenTelemetry tracing, metrics, and structured logging for DAPR applications. Integrates with Azure Monitor, Jaeger, Prometheus, and other observability backends.
浏览 Sahib-Sawhney-WH 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。
已收录技能
7收录技能的仓库 Stars 合计
21仓库 Forks
7平均每个技能的仓库 Stars
3同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。
Configure OpenTelemetry tracing, metrics, and structured logging for DAPR applications. Integrates with Azure Monitor, Jaeger, Prometheus, and other observability backends.
Automatically validate DAPR HTTP middleware configuration files. Checks for correct middleware types, proper secret references, pipeline ordering, and security best practices. Use when configuring OAuth2, Beare...
Automatically validate DAPR configuration files (dapr.yaml, component YAML files) when they are created or modified. Checks for schema compliance, missing required fields, invalid values, and common misconfigur...
Generate Python boilerplate code for DAPR microservices, workflows, and actors. Creates properly structured services with DAPR SDK integration, health endpoints, logging, and best practices. Use when creating n...
Configure Azure services as DAPR components with best practices. Supports Azure Cosmos DB, Service Bus, Key Vault, Blob Storage, Event Grid, and Container Apps. Automatically generates component YAML with manag...
Proactively detect and diagnose DAPR runtime issues based on error patterns, log analysis, and common misconfigurations. Provides immediate solutions for service invocation failures, state management issues, pu...
Scans DAPR projects for security issues including plain-text secrets, missing ACLs, insecure configurations, and security best practice violations. Automatically triggers on component file modifications.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。