Skill UI

This SDK provides a comprehensive Java client for interacting with Azure Monitor. It allows developers to execute powerful Kusto Query Language (KQL) queries against Log Analytics workspaces to retrieve detailed operational logs, and to query time-series metrics from various Azure resources. It supports both synchronous and asynchronous operations, making it ideal for building monitoring, auditing, and analytics features in Java applications.

A comprehensive Python SDK for interacting with Azure Monitor services. It enables developers to execute complex Kusto Query Language (KQL) queries against Log Analytics workspaces and retrieve various resource metrics (CPU usage, network traffic, etc.). Ideal for building robust monitoring dashboards, automated alerting systems, and custom data analysis pipelines in cloud environments.

Implement GitOps continuous delivery for Kubernetes with ArgoCD. Covers installation, Application manifests, Helm and Kustomize sources, AppProjects, ApplicationSets, and safe sync, prune and rollback policies.

This Java SDK enables developers to execute Kusto queries against Log Analytics workspaces and retrieve metrics from Azure resources. It supports both synchronous and asynchronous client operations for logs and metrics, including configuration for sovereign clouds like Azure China. Ideal for monitoring and observability solutions in Java applications.

Python SDK for querying Azure Monitor logs and Log Analytics workspaces, with authentication, batch queries, DataFrames, and metrics examples.

Kustomize enables declarative customization of Kubernetes manifests without complex templating. It supports managing configurations across environments, applying patches, and generating variants from base resources. Ideal for DevOps teams managing production and development clusters efficiently.