azure-stream-analytics
Expert knowledge for Azure Stream Analytics development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building jobs with Event Hubs/Kafka, Cosmos DB/SQL outputs, ML/Functions integration, autoscale, or SU tuning, and other Azure Stream Analytics related development tasks. Not for Azure Data Factory (use azure-data-factory), Azure Event Hubs (use azure-event-hubs), Azure Synapse Analytics (use azure-synapse-analytics), Azure Databricks (use azure-databricks).
Best use case
azure-stream-analytics is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Expert knowledge for Azure Stream Analytics development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building jobs with Event Hubs/Kafka, Cosmos DB/SQL outputs, ML/Functions integration, autoscale, or SU tuning, and other Azure Stream Analytics related development tasks. Not for Azure Data Factory (use azure-data-factory), Azure Event Hubs (use azure-event-hubs), Azure Synapse Analytics (use azure-synapse-analytics), Azure Databricks (use azure-databricks).
Teams using azure-stream-analytics should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/azure-stream-analytics/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How azure-stream-analytics Compares
| Feature / Agent | azure-stream-analytics | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Expert knowledge for Azure Stream Analytics development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building jobs with Event Hubs/Kafka, Cosmos DB/SQL outputs, ML/Functions integration, autoscale, or SU tuning, and other Azure Stream Analytics related development tasks. Not for Azure Data Factory (use azure-data-factory), Azure Event Hubs (use azure-event-hubs), Azure Synapse Analytics (use azure-synapse-analytics), Azure Databricks (use azure-databricks).
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
SKILL.md Source
# Azure Stream Analytics Skill This skill provides expert guidance for Azure Stream Analytics. 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`), use `read_file` with the specified lines. For categories with file links (e.g., `[security.md](security.md)`), use `read_file` on the linked reference file > **IMPORTANT for Agent**: If `metadata.generated_at` is more than 3 months old, suggest the user pull the latest version from the repository. If `mcp_microsoftdocs` tools are not available, suggest the user install it: [Installation Guide](https://github.com/MicrosoftDocs/mcp/blob/main/README.md) This skill requires **network access** to fetch documentation content: - **Preferred**: Use `mcp_microsoftdocs:microsoft_docs_fetch` with query string `from=learn-agent-skill`. Returns Markdown. - **Fallback**: Use `fetch_webpage` with query string `from=learn-agent-skill&accept=text/markdown`. Returns Markdown. ## Category Index | Category | Lines | Description | |----------|-------|-------------| | Troubleshooting | L37-L56 | Diagnosing and fixing Stream Analytics job issues: error codes (config/data/external/internal), input/output connection failures, query/UDF bugs, and using diagrams, metrics, and resource logs to debug. | | Best Practices | L57-L75 | Best practices for designing, scaling, and optimizing Stream Analytics jobs: query patterns, performance tuning, reliability, geospatial, time/late events, ML, Cosmos DB, SQL, and alerting. | | Decision Making | L76-L82 | Guidance on choosing Stream Analytics developer tools, migrating projects from Visual Studio to VS Code, and comparing Azure real-time/stream processing services for your scenario. | | Architecture & Design Patterns | L83-L87 | Architectural patterns and best practices for designing resilient, geo-redundant Azure Stream Analytics solutions, including reference topologies and high-availability job designs. | | Limits & Quotas | L88-L93 | Configuring and tuning Stream Analytics streaming units and clusters, including how to resize, scale performance, and understand capacity limits and resource quotas. | | Security | L94-L113 | Securing Stream Analytics jobs: managed identities for inputs/outputs, private endpoints/VNet integration, data protection, credential rotation, and Azure Policy compliance controls. | | Configuration | L114-L148 | Configuring Stream Analytics jobs: inputs/outputs (SQL, Cosmos DB, Event Hubs, Kafka, Power BI, Delta Lake, etc.), partitioning, autoscale, compatibility, monitoring, alerts, and error policies. | | Integrations & Coding Patterns | L149-L168 | Patterns for integrating Stream Analytics with Kafka, Azure ML, Functions, Schema Registry, and for writing UDFs/aggregates, parsing formats, and doing ML/anomaly detection. | | Deployment | L169-L184 | Deploying, starting/stopping, scaling, and moving Stream Analytics jobs and clusters, plus CI/CD automation via ARM/Bicep, GitHub Actions, Azure DevOps, npm/NuGet, and IoT Edge/Stack Hub. | ### Troubleshooting | Topic | URL | |-------|-----| | Resolve Stream Analytics configuration error codes | https://learn.microsoft.com/en-us/azure/stream-analytics/configuration-error-codes | | Resolve Stream Analytics data error codes | https://learn.microsoft.com/en-us/azure/stream-analytics/data-error-codes | | Understand Stream Analytics resource log data errors | https://learn.microsoft.com/en-us/azure/stream-analytics/data-errors | | Debug Stream Analytics queries locally with Visual Studio job diagram | https://learn.microsoft.com/en-us/azure/stream-analytics/debug-locally-using-job-diagram | | Debug Stream Analytics queries locally with VS Code job diagram | https://learn.microsoft.com/en-us/azure/stream-analytics/debug-locally-using-job-diagram-vs-code | | Debug user-defined functions in Azure Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/debug-user-defined-functions | | Resolve Stream Analytics external availability error codes | https://learn.microsoft.com/en-us/azure/stream-analytics/external-availability-error-codes | | Resolve Stream Analytics external error codes | https://learn.microsoft.com/en-us/azure/stream-analytics/external-error-codes | | Resolve Stream Analytics internal error codes | https://learn.microsoft.com/en-us/azure/stream-analytics/internal-error-codes | | Use Stream Analytics job diagram and metrics to troubleshoot jobs | https://learn.microsoft.com/en-us/azure/stream-analytics/job-diagram-with-metrics | | Troubleshoot Stream Analytics jobs using resource logs | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-job-diagnostic-logs | | Debug Stream Analytics jobs with logical job diagram | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-job-logical-diagram-with-metrics | | Use physical job diagram metrics to debug Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-job-physical-diagram-with-metrics | | Troubleshoot Stream Analytics input connection issues | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-troubleshoot-input | | Troubleshoot Stream Analytics output connection issues | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-troubleshoot-output | | Troubleshoot Azure Stream Analytics query problems | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-troubleshoot-query | ### Best Practices | Topic | URL | |-------|-----| | Develop and debug Azure Stream Analytics jobs locally | https://learn.microsoft.com/en-us/azure/stream-analytics/develop-locally | | Build geofencing and geospatial aggregation with Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/geospatial-scenarios | | Implement input validation patterns for Stream Analytics resiliency | https://learn.microsoft.com/en-us/azure/stream-analytics/input-validation | | Optimize Stream Analytics query performance with Job Simulation | https://learn.microsoft.com/en-us/azure/stream-analytics/optimize-query-using-job-diagram-simulator | | Optimize non-parallelizable Stream Analytics jobs with repartitioning | https://learn.microsoft.com/en-us/azure/stream-analytics/repartition | | Apply best practices for Stream Analytics to Cosmos DB | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-documentdb-output | | Analyze Stream Analytics job performance using metrics and dimensions | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-job-analysis-with-metric-dimensions | | Improve Azure Stream Analytics job reliability and upgrades | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-job-reliability | | Use query parallelization to scale Stream Analytics jobs | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-parallelization | | Scale Azure Stream Analytics jobs up and out | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-scale-jobs | | Scale ML Studio classic functions in Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-scale-with-machine-learning-functions | | Optimize Azure SQL Database output performance for Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-sql-output-perf | | Apply common query patterns in Azure Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-stream-analytics-query-patterns | | Implement configurable threshold-based alerting in Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-threshold-based-rules | | Design time handling and lateness in Azure Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-time-handling | ### Decision Making | Topic | URL | |-------|-----| | Select developer tools for Azure Stream Analytics jobs | https://learn.microsoft.com/en-us/azure/stream-analytics/feature-comparison | | Migrate Stream Analytics projects from Visual Studio to VS Code | https://learn.microsoft.com/en-us/azure/stream-analytics/migrate-to-vscode | | Choose Azure real-time and stream processing services | https://learn.microsoft.com/en-us/azure/stream-analytics/streaming-technologies | ### Architecture & Design Patterns | Topic | URL | |-------|-----| | Design geo-redundant Azure Stream Analytics job architectures | https://learn.microsoft.com/en-us/azure/stream-analytics/geo-redundancy | ### Limits & Quotas | Topic | URL | |-------|-----| | Resize Azure Stream Analytics clusters by streaming units | https://learn.microsoft.com/en-us/azure/stream-analytics/scale-cluster | | Understand and tune Azure Stream Analytics streaming units | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-streaming-unit-consumption | ### Security | Topic | URL | |-------|-----| | Configure managed identity for Azure Data Explorer outputs | https://learn.microsoft.com/en-us/azure/stream-analytics/azure-data-explorer-managed-identity | | Authenticate Stream Analytics blob outputs with managed identity | https://learn.microsoft.com/en-us/azure/stream-analytics/blob-output-managed-identity | | Securely connect Stream Analytics jobs to Azure VNets | https://learn.microsoft.com/en-us/azure/stream-analytics/connect-job-to-vnet | | Use managed identities for Cosmos DB outputs in Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/cosmos-db-managed-identity | | Configure data protection for Azure Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/data-protection | | Access Event Hubs from Stream Analytics with managed identities | https://learn.microsoft.com/en-us/azure/stream-analytics/event-hubs-managed-identity | | Apply built-in Azure Policy definitions to Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/policy-reference | | Authenticate Stream Analytics Power BI outputs via managed identity | https://learn.microsoft.com/en-us/azure/stream-analytics/powerbi-output-managed-identity | | Configure Stream Analytics cluster managed private endpoints | https://learn.microsoft.com/en-us/azure/stream-analytics/private-endpoints | | Run Stream Analytics jobs inside Azure virtual networks | https://learn.microsoft.com/en-us/azure/stream-analytics/run-job-in-virtual-network | | Apply Azure Policy compliance controls to Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/security-controls-policy | | Send Stream Analytics outputs to Service Bus with managed identity | https://learn.microsoft.com/en-us/azure/stream-analytics/service-bus-managed-identity | | Use managed identities for SQL Database and Synapse outputs | https://learn.microsoft.com/en-us/azure/stream-analytics/sql-database-output-managed-identity | | Rotate input and output credentials for Azure Stream Analytics jobs | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-login-credentials-inputs-outputs | | Use managed identities with Azure Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-managed-identities-overview | | Configure user-assigned managed identities for Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-user-assigned-managed-identity-overview | ### Configuration | Topic | URL | |-------|-----| | Configure Azure Cosmos DB as Stream Analytics output | https://learn.microsoft.com/en-us/azure/stream-analytics/azure-cosmos-db-output | | Configure Azure Data Explorer as Stream Analytics output | https://learn.microsoft.com/en-us/azure/stream-analytics/azure-database-explorer-output | | Connect Azure Stream Analytics outputs to Azure Functions | https://learn.microsoft.com/en-us/azure/stream-analytics/azure-functions-output | | Configure Azure Synapse Analytics dedicated SQL pool as Stream Analytics output | https://learn.microsoft.com/en-us/azure/stream-analytics/azure-synapse-analytics-output | | Configure Blob Storage and Data Lake Gen2 outputs for Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/blob-storage-azure-data-lake-gen2-output | | Configure Stream Analytics autoscale settings via CI/CD tool | https://learn.microsoft.com/en-us/azure/stream-analytics/cicd-autoscale | | Configure Azure Event Hubs as output for Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/event-hubs-output | | Configure late arrival and out-of-order event policies in Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/event-ordering | | Reference for Stream Analytics JobConfig.json fields in VS Code | https://learn.microsoft.com/en-us/azure/stream-analytics/job-config-json | | Configure Kafka output for Azure Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/kafka-output | | Configure monitoring for Azure Stream Analytics with Azure Monitor | https://learn.microsoft.com/en-us/azure/stream-analytics/monitor-azure-stream-analytics | | Reference for Azure Stream Analytics monitoring metrics and logs | https://learn.microsoft.com/en-us/azure/stream-analytics/monitor-azure-stream-analytics-reference | | Configure Azure Database for PostgreSQL as Stream Analytics output | https://learn.microsoft.com/en-us/azure/stream-analytics/postgresql-database-output | | Configure Power BI output for Azure Stream Analytics visualizations | https://learn.microsoft.com/en-us/azure/stream-analytics/power-bi-output | | Configure Service Bus queues as Stream Analytics output | https://learn.microsoft.com/en-us/azure/stream-analytics/service-bus-queues-output | | Configure Service Bus topics as Stream Analytics output | https://learn.microsoft.com/en-us/azure/stream-analytics/service-bus-topics-output | | Configure Azure SQL Database as Stream Analytics output | https://learn.microsoft.com/en-us/azure/stream-analytics/sql-database-output | | Configure Azure SQL Database as Stream Analytics output | https://learn.microsoft.com/en-us/azure/stream-analytics/sql-db-table | | Use Azure SQL Database as reference data input for Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/sql-reference-data | | Configure compatibility levels for Azure Stream Analytics jobs | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-compatibility-level | | Set custom blob output partitioning for Stream Analytics jobs | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-custom-path-patterns-blob-storage-output | | Configure input sources for Azure Stream Analytics jobs | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-define-inputs | | Monitor and manage Stream Analytics jobs with PowerShell | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-monitor-and-manage-jobs-use-powershell | | Programmatically enable and configure Stream Analytics job monitoring | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-monitor-jobs | | Monitor Stream Analytics jobs using Azure portal metrics | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-monitoring | | Configure output error handling policies in Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-output-error-policy | | Configure Protobuf input deserialization in Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-parsing-protobuf | | Set up Azure Monitor alerts for Stream Analytics jobs | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-set-up-alerts | | Use reference data lookups in Azure Stream Analytics queries | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-use-reference-data | | Set up Azure Table storage output for Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/table-storage-output | | Configure Azure Stream Analytics to write to Delta Lake tables | https://learn.microsoft.com/en-us/azure/stream-analytics/write-to-delta-lake | ### Integrations & Coding Patterns | Topic | URL | |-------|-----| | Use Confluent Cloud Kafka as Stream Analytics input | https://learn.microsoft.com/en-us/azure/stream-analytics/confluent-kafka-input | | Send Stream Analytics output to Confluent Cloud Kafka | https://learn.microsoft.com/en-us/azure/stream-analytics/confluent-kafka-output | | Integrate Azure Machine Learning models as Stream Analytics UDFs | https://learn.microsoft.com/en-us/azure/stream-analytics/machine-learning-udf | | Use Azure Functions to upsert SQL data from Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/sql-database-upsert | | Connect Azure Stream Analytics jobs to Kafka streams | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-define-kafka-input | | Manage Stream Analytics jobs with .NET Management SDK | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-dotnet-management-sdk | | Write C# user-defined functions for Stream Analytics in Visual Studio | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-edge-csharp-udf | | Develop .NET Standard user-defined functions for Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-edge-csharp-udf-methods | | Implement linear regression in Stream Analytics for trading | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-high-frequency-trading | | Configure ML Studio classic endpoints in Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-how-to-configure-azure-machine-learning-endpoints-in-stream-analytics | | Create JavaScript user-defined aggregates in Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-javascript-user-defined-aggregates | | Implement JavaScript user-defined functions in Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-javascript-user-defined-functions | | Use built-in ML anomaly detection in Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-machine-learning-anomaly-detection | | Integrate Stream Analytics with Azure Machine Learning Studio (classic) | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-machine-learning-integration-tutorial | | Parse JSON, Avro, and complex data in Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-parsing-json | | Integrate Azure Stream Analytics with Event Hubs Schema Registry | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-schema-registry-integration | ### Deployment | Topic | URL | |-------|-----| | Generate and deploy Stream Analytics jobs with Bicep | https://learn.microsoft.com/en-us/azure/stream-analytics/cicd-deploy-with-bicep | | Deploy Stream Analytics jobs using GitHub Actions workflows | https://learn.microsoft.com/en-us/azure/stream-analytics/cicd-github-actions | | Use ASA CI/CD npm package to build and deploy jobs | https://learn.microsoft.com/en-us/azure/stream-analytics/cicd-tools | | Move Azure Stream Analytics clusters across regions | https://learn.microsoft.com/en-us/azure/stream-analytics/move-cluster | | Deploy Stream Analytics edge jobs to Azure Stack Hub | https://learn.microsoft.com/en-us/azure/stream-analytics/on-azure-stack | | Export Stream Analytics jobs as ARM templates | https://learn.microsoft.com/en-us/azure/stream-analytics/resource-manager-export | | Set up Azure DevOps CI/CD for Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/set-up-cicd-pipeline | | Start Azure Stream Analytics jobs via portal, PowerShell, and Visual Studio | https://learn.microsoft.com/en-us/azure/stream-analytics/start-job | | Configure autoscale streaming units for Stream Analytics jobs | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-autoscale | | Implement CI/CD for Stream Analytics on IoT Edge via REST | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-cicd-api | | Stop and delete Azure Stream Analytics jobs safely | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-clean-up-your-job | | Deploy Azure Stream Analytics jobs to IoT Edge devices | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-edge | | Use Stream Analytics CI/CD NuGet package with MSBuild | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-tools-for-visual-studio-cicd |
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