Agent skill
azure-hdinsight
Expert knowledge for Azure HDInsight development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when working with HDInsight Spark/Hive/Kafka/HBase clusters, Ambari, VNet networking, or Azure SQL/Cosmos DB integration, and other Azure HDInsight related development tasks. Not for Azure Synapse Analytics (use azure-synapse-analytics), Azure Databricks (use azure-databricks), Azure Stream Analytics (use azure-stream-analytics).
Install this agent skill to your Project
npx add-skill https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-hdinsight
Metadata
Additional technical details for this skill
- generator
- docs2skills/1.0.0
- generated at
- 2026-04-05
SKILL.md
Azure HDInsight Skill
This skill provides expert guidance for Azure HDInsight. Covers troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. It combines local quick-reference content with remote documentation fetching capabilities.
How to Use This Skill
IMPORTANT for Agent: Use the Category Index below to locate relevant sections. For categories with line ranges (e.g.,
L35-L120), useread_filewith the specified lines. For categories with file links (e.g.,[security.md](security.md)), useread_fileon the linked reference file
IMPORTANT for Agent: If
metadata.generated_atis more than 3 months old, suggest the user pull the latest version from the repository. Ifmcp_microsoftdocstools are not available, suggest the user install it: Installation Guide
This skill requires network access to fetch documentation content:
- Preferred: Use
mcp_microsoftdocs:microsoft_docs_fetchwith query stringfrom=learn-agent-skill. Returns Markdown. - Fallback: Use
fetch_webpagewith query stringfrom=learn-agent-skill&accept=text/markdown. Returns Markdown.
Category Index
| Category | Lines | Description |
|---|---|---|
| Troubleshooting | L37-L132 | Diagnosing and fixing HDInsight cluster issues: creation/auth, networking, storage, Ambari/HDFS/Hive/HBase/Kafka/Spark/YARN problems, performance, disk/CPU, and known error codes/workarounds. |
| Best Practices | L133-L174 | Best practices for designing, securing, monitoring, scaling, and tuning HDInsight clusters and workloads (Hadoop, Spark, Hive, HBase, Kafka), including storage, migration, and performance optimization. |
| Decision Making | L175-L199 | Planning and migration guidance for HDInsight: sizing and performance, choosing storage/VMs/tools, upgrading versions/components, and moving Hadoop, HBase, Kafka, and configs to newer clusters. |
| Architecture & Design Patterns | L200-L214 | HDInsight cluster architecture, security/VNet design, HA/DR and business continuity patterns, migration from on-prem Hadoop, shared storage, streaming (Spark/YARN), and Oozie-based pipelines. |
| Limits & Quotas | L215-L222 | Guidance on HDInsight capacity limits: log size/retention, supported cluster node sizes, external metastore constraints, and requesting/managing CPU core quota increases. |
| Security | L223-L266 | Securing HDInsight clusters: identity and access (Entra, LDAP, Ranger, RBAC), network isolation (NSG, Private Link), TLS/encryption, Kafka/Hive/Spark security, and security best practices. |
| Configuration | L267-L323 | Configuring and tuning HDInsight clusters: networking/VPN, Ambari/Hive/Spark/HBase settings, autoscale, monitoring/logging, SSH/Jupyter/VS Code access, and script-based customizations. |
| Integrations & Coding Patterns | L324-L391 | Patterns and code samples for integrating HDInsight (Hive, Spark, Kafka, HBase, MapReduce, Sqoop) with tools, SDKs, REST/CLI, and external services like SQL, Cosmos DB, Power BI, IoT, and Synapse |
| Deployment | L392-L405 | Creating, configuring, migrating, and automating HDInsight clusters (Hadoop, HBase, Kafka) using portal, CLI, PowerShell, ARM/REST, Data Factory, Marketplace, AMA, and runbooks |
Troubleshooting
Best Practices
Decision Making
Architecture & Design Patterns
Limits & Quotas
| Topic | URL |
|---|---|
| Plan HDInsight log sizes and retention policies | https://learn.microsoft.com/en-us/azure/hdinsight/hdinsight-log-management |
| Use supported node configurations for HDInsight clusters | https://learn.microsoft.com/en-us/azure/hdinsight/hdinsight-supported-node-configuration |
| Use external metastores and understand HDInsight default metastore limits | https://learn.microsoft.com/en-us/azure/hdinsight/hdinsight-use-external-metadata-stores |
| Request and manage HDInsight CPU core quota increases | https://learn.microsoft.com/en-us/azure/hdinsight/quota-increase-request |
Security
Configuration
Integrations & Coding Patterns
Deployment
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
azure-blueprints
Expert knowledge for Azure Blueprints development including troubleshooting, architecture & design patterns, security, configuration, and integrations & coding patterns. Use when defining Azure Blueprints, mapping built-in compliance sets, automating via CLI/PowerShell/REST, or fixing assignment errors, and other Azure Blueprints related development tasks. Not for Azure Policy (use azure-policy), Azure Resource Manager (use azure-resource-manager), Azure Managed Applications (use azure-managed-applications), Azure Deployment Environments (use azure-deployment-environments).
azure-advisor
Expert knowledge for Azure Advisor development including best practices, decision making, limits & quotas, security, configuration, and integrations & coding patterns. Use when configuring Advisor alerts, workbooks, RBAC access, bulk fixes, or Resource Graph/Kusto queries, and other Azure Advisor related development tasks. Not for Azure Cost Management (use azure-cost-management), Azure Monitor (use azure-monitor), Azure Policy (use azure-policy), Azure Service Health (use azure-service-health).
azure-cognitive-search
Expert knowledge for Azure AI Search development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when designing indexes/skillsets, vector/semantic search, indexers, RAG knowledge bases, or secure data access, and other Azure AI Search related development tasks. Not for Azure Cosmos DB (use azure-cosmos-db), Azure Data Explorer (use azure-data-explorer), Azure SQL Database (use azure-sql-database), Azure Synapse Analytics (use azure-synapse-analytics).
azure-migrate
Expert knowledge for Azure Migrate development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using AppCAT/CAST, Site Recovery REST APIs, Azure Migrate appliance, Arc-based discovery, or Resource Mover, and other Azure Migrate related development tasks. Not for Azure Database Migration service (use azure-database-migration), Azure Site Recovery (use azure-site-recovery), Azure Virtual Machines (use azure-virtual-machines), SQL Server on Azure Virtual Machines (use azure-sql-virtual-machines).
azure-maps
Expert knowledge for Azure Maps development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns. Use when using Azure Maps web SDK, search/geocoding, routing/traffic, weather APIs, or migrating from Bing/Google Maps, and other Azure Maps related development tasks.
azure-iot-operations
Expert knowledge for Azure IoT Operations development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring MQTT broker, data flows/graphs, OPC UA/ONVIF connectors, WASM transforms, or Prometheus/Grafana, and other Azure IoT Operations related development tasks. Not for Azure IoT (use azure-iot), Azure IoT Hub (use azure-iot-hub), Azure IoT Edge (use azure-iot-edge), Azure Defender For Iot (use azure-defender-for-iot).
Didn't find tool you were looking for?