1---2name: azure-stream-analytics3description: 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).4---5# Azure Stream Analytics Skill67This 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.89## How to Use This Skill1011> **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 file1213> **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)1415This skill requires **network access** to fetch documentation content:16- **Preferred**: Use `mcp_microsoftdocs:microsoft_docs_fetch` with query string `from=learn-agent-skill`. Returns Markdown.17- **Fallback**: Use `fetch_webpage` with query string `from=learn-agent-skill&accept=text/markdown`. Returns Markdown.1819## Category Index2021| Category | Lines | Description |22|----------|-------|-------------|23| 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. |24| 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. |25| 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. |26| 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. |27| 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. |28| 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. |29| 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. |30| 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. |31| 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. |3233### Troubleshooting34| Topic | URL |35|-------|-----|36| Resolve Stream Analytics configuration error codes | https://learn.microsoft.com/en-us/azure/stream-analytics/configuration-error-codes |37| Resolve Stream Analytics data error codes | https://learn.microsoft.com/en-us/azure/stream-analytics/data-error-codes |38| Understand Stream Analytics resource log data errors | https://learn.microsoft.com/en-us/azure/stream-analytics/data-errors |39| Debug Stream Analytics queries locally with Visual Studio job diagram | https://learn.microsoft.com/en-us/azure/stream-analytics/debug-locally-using-job-diagram |40| 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 |41| Debug user-defined functions in Azure Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/debug-user-defined-functions |42| Resolve Stream Analytics external availability error codes | https://learn.microsoft.com/en-us/azure/stream-analytics/external-availability-error-codes |43| Resolve Stream Analytics external error codes | https://learn.microsoft.com/en-us/azure/stream-analytics/external-error-codes |44| Resolve Stream Analytics internal error codes | https://learn.microsoft.com/en-us/azure/stream-analytics/internal-error-codes |45| Use Stream Analytics job diagram and metrics to troubleshoot jobs | https://learn.microsoft.com/en-us/azure/stream-analytics/job-diagram-with-metrics |46| Troubleshoot Stream Analytics jobs using resource logs | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-job-diagnostic-logs |47| Debug Stream Analytics jobs with logical job diagram | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-job-logical-diagram-with-metrics |48| 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 |49| Troubleshoot Stream Analytics input connection issues | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-troubleshoot-input |50| Troubleshoot Stream Analytics output connection issues | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-troubleshoot-output |51| Troubleshoot Azure Stream Analytics query problems | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-troubleshoot-query |5253### Best Practices54| Topic | URL |55|-------|-----|56| Develop and debug Azure Stream Analytics jobs locally | https://learn.microsoft.com/en-us/azure/stream-analytics/develop-locally |57| Build geofencing and geospatial aggregation with Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/geospatial-scenarios |58| Implement input validation patterns for Stream Analytics resiliency | https://learn.microsoft.com/en-us/azure/stream-analytics/input-validation |59| Optimize Stream Analytics query performance with Job Simulation | https://learn.microsoft.com/en-us/azure/stream-analytics/optimize-query-using-job-diagram-simulator |60| Optimize non-parallelizable Stream Analytics jobs with repartitioning | https://learn.microsoft.com/en-us/azure/stream-analytics/repartition |61| Apply best practices for Stream Analytics to Cosmos DB | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-documentdb-output |62| 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 |63| Improve Azure Stream Analytics job reliability and upgrades | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-job-reliability |64| Use query parallelization to scale Stream Analytics jobs | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-parallelization |65| Scale Azure Stream Analytics jobs up and out | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-scale-jobs |66| Scale ML Studio classic functions in Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-scale-with-machine-learning-functions |67| Optimize Azure SQL Database output performance for Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-sql-output-perf |68| Apply common query patterns in Azure Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-stream-analytics-query-patterns |69| Implement configurable threshold-based alerting in Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-threshold-based-rules |70| Design time handling and lateness in Azure Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-time-handling |7172### Decision Making73| Topic | URL |74|-------|-----|75| Select developer tools for Azure Stream Analytics jobs | https://learn.microsoft.com/en-us/azure/stream-analytics/feature-comparison |76| Migrate Stream Analytics projects from Visual Studio to VS Code | https://learn.microsoft.com/en-us/azure/stream-analytics/migrate-to-vscode |77| Choose Azure real-time and stream processing services | https://learn.microsoft.com/en-us/azure/stream-analytics/streaming-technologies |7879### Architecture & Design Patterns80| Topic | URL |81|-------|-----|82| Design geo-redundant Azure Stream Analytics job architectures | https://learn.microsoft.com/en-us/azure/stream-analytics/geo-redundancy |8384### Limits & Quotas85| Topic | URL |86|-------|-----|87| Resize Azure Stream Analytics clusters by streaming units | https://learn.microsoft.com/en-us/azure/stream-analytics/scale-cluster |88| Understand and tune Azure Stream Analytics streaming units | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-streaming-unit-consumption |8990### Security91| Topic | URL |92|-------|-----|93| Configure managed identity for Azure Data Explorer outputs | https://learn.microsoft.com/en-us/azure/stream-analytics/azure-data-explorer-managed-identity |94| Authenticate Stream Analytics blob outputs with managed identity | https://learn.microsoft.com/en-us/azure/stream-analytics/blob-output-managed-identity |95| Securely connect Stream Analytics jobs to Azure VNets | https://learn.microsoft.com/en-us/azure/stream-analytics/connect-job-to-vnet |96| Use managed identities for Cosmos DB outputs in Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/cosmos-db-managed-identity |97| Configure data protection for Azure Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/data-protection |98| Access Event Hubs from Stream Analytics with managed identities | https://learn.microsoft.com/en-us/azure/stream-analytics/event-hubs-managed-identity |99| Apply built-in Azure Policy definitions to Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/policy-reference |100| Authenticate Stream Analytics Power BI outputs via managed identity | https://learn.microsoft.com/en-us/azure/stream-analytics/powerbi-output-managed-identity |101| Configure Stream Analytics cluster managed private endpoints | https://learn.microsoft.com/en-us/azure/stream-analytics/private-endpoints |102| Run Stream Analytics jobs inside Azure virtual networks | https://learn.microsoft.com/en-us/azure/stream-analytics/run-job-in-virtual-network |103| Apply Azure Policy compliance controls to Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/security-controls-policy |104| Send Stream Analytics outputs to Service Bus with managed identity | https://learn.microsoft.com/en-us/azure/stream-analytics/service-bus-managed-identity |105| Use managed identities for SQL Database and Synapse outputs | https://learn.microsoft.com/en-us/azure/stream-analytics/sql-database-output-managed-identity |106| 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 |107| Use managed identities with Azure Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-managed-identities-overview |108| Configure user-assigned managed identities for Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-user-assigned-managed-identity-overview |109110### Configuration111| Topic | URL |112|-------|-----|113| Configure Azure Cosmos DB as Stream Analytics output | https://learn.microsoft.com/en-us/azure/stream-analytics/azure-cosmos-db-output |114| Configure Azure Data Explorer as Stream Analytics output | https://learn.microsoft.com/en-us/azure/stream-analytics/azure-database-explorer-output |115| Connect Azure Stream Analytics outputs to Azure Functions | https://learn.microsoft.com/en-us/azure/stream-analytics/azure-functions-output |116| Configure Azure Synapse Analytics dedicated SQL pool as Stream Analytics output | https://learn.microsoft.com/en-us/azure/stream-analytics/azure-synapse-analytics-output |117| 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 |118| Configure Stream Analytics autoscale settings via CI/CD tool | https://learn.microsoft.com/en-us/azure/stream-analytics/cicd-autoscale |119| Configure Azure Event Hubs as output for Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/event-hubs-output |120| Configure late arrival and out-of-order event policies in Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/event-ordering |121| Reference for Stream Analytics JobConfig.json fields in VS Code | https://learn.microsoft.com/en-us/azure/stream-analytics/job-config-json |122| Configure Kafka output for Azure Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/kafka-output |123| Configure monitoring for Azure Stream Analytics with Azure Monitor | https://learn.microsoft.com/en-us/azure/stream-analytics/monitor-azure-stream-analytics |124| Reference for Azure Stream Analytics monitoring metrics and logs | https://learn.microsoft.com/en-us/azure/stream-analytics/monitor-azure-stream-analytics-reference |125| Configure Azure Database for PostgreSQL as Stream Analytics output | https://learn.microsoft.com/en-us/azure/stream-analytics/postgresql-database-output |126| Configure Power BI output for Azure Stream Analytics visualizations | https://learn.microsoft.com/en-us/azure/stream-analytics/power-bi-output |127| Configure Service Bus queues as Stream Analytics output | https://learn.microsoft.com/en-us/azure/stream-analytics/service-bus-queues-output |128| Configure Service Bus topics as Stream Analytics output | https://learn.microsoft.com/en-us/azure/stream-analytics/service-bus-topics-output |129| Configure Azure SQL Database as Stream Analytics output | https://learn.microsoft.com/en-us/azure/stream-analytics/sql-database-output |130| Configure Azure SQL Database as Stream Analytics output | https://learn.microsoft.com/en-us/azure/stream-analytics/sql-db-table |131| Use Azure SQL Database as reference data input for Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/sql-reference-data |132| Configure compatibility levels for Azure Stream Analytics jobs | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-compatibility-level |133| 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 |134| Configure input sources for Azure Stream Analytics jobs | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-define-inputs |135| 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 |136| Programmatically enable and configure Stream Analytics job monitoring | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-monitor-jobs |137| Monitor Stream Analytics jobs using Azure portal metrics | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-monitoring |138| Configure output error handling policies in Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-output-error-policy |139| Configure Protobuf input deserialization in Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-parsing-protobuf |140| Set up Azure Monitor alerts for Stream Analytics jobs | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-set-up-alerts |141| Use reference data lookups in Azure Stream Analytics queries | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-use-reference-data |142| Set up Azure Table storage output for Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/table-storage-output |143| Configure Azure Stream Analytics to write to Delta Lake tables | https://learn.microsoft.com/en-us/azure/stream-analytics/write-to-delta-lake |144145### Integrations & Coding Patterns146| Topic | URL |147|-------|-----|148| Use Confluent Cloud Kafka as Stream Analytics input | https://learn.microsoft.com/en-us/azure/stream-analytics/confluent-kafka-input |149| Send Stream Analytics output to Confluent Cloud Kafka | https://learn.microsoft.com/en-us/azure/stream-analytics/confluent-kafka-output |150| Integrate Azure Machine Learning models as Stream Analytics UDFs | https://learn.microsoft.com/en-us/azure/stream-analytics/machine-learning-udf |151| Use Azure Functions to upsert SQL data from Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/sql-database-upsert |152| Connect Azure Stream Analytics jobs to Kafka streams | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-define-kafka-input |153| Manage Stream Analytics jobs with .NET Management SDK | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-dotnet-management-sdk |154| 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 |155| Develop .NET Standard user-defined functions for Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-edge-csharp-udf-methods |156| Implement linear regression in Stream Analytics for trading | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-high-frequency-trading |157| 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 |158| Create JavaScript user-defined aggregates in Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-javascript-user-defined-aggregates |159| Implement JavaScript user-defined functions in Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-javascript-user-defined-functions |160| Use built-in ML anomaly detection in Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-machine-learning-anomaly-detection |161| Integrate Stream Analytics with Azure Machine Learning Studio (classic) | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-machine-learning-integration-tutorial |162| Parse JSON, Avro, and complex data in Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-parsing-json |163| Integrate Azure Stream Analytics with Event Hubs Schema Registry | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-schema-registry-integration |164165### Deployment166| Topic | URL |167|-------|-----|168| Generate and deploy Stream Analytics jobs with Bicep | https://learn.microsoft.com/en-us/azure/stream-analytics/cicd-deploy-with-bicep |169| Deploy Stream Analytics jobs using GitHub Actions workflows | https://learn.microsoft.com/en-us/azure/stream-analytics/cicd-github-actions |170| Use ASA CI/CD npm package to build and deploy jobs | https://learn.microsoft.com/en-us/azure/stream-analytics/cicd-tools |171| Move Azure Stream Analytics clusters across regions | https://learn.microsoft.com/en-us/azure/stream-analytics/move-cluster |172| Deploy Stream Analytics edge jobs to Azure Stack Hub | https://learn.microsoft.com/en-us/azure/stream-analytics/on-azure-stack |173| Export Stream Analytics jobs as ARM templates | https://learn.microsoft.com/en-us/azure/stream-analytics/resource-manager-export |174| Set up Azure DevOps CI/CD for Stream Analytics | https://learn.microsoft.com/en-us/azure/stream-analytics/set-up-cicd-pipeline |175| Start Azure Stream Analytics jobs via portal, PowerShell, and Visual Studio | https://learn.microsoft.com/en-us/azure/stream-analytics/start-job |176| Configure autoscale streaming units for Stream Analytics jobs | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-autoscale |177| Implement CI/CD for Stream Analytics on IoT Edge via REST | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-cicd-api |178| Stop and delete Azure Stream Analytics jobs safely | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-clean-up-your-job |179| Deploy Azure Stream Analytics jobs to IoT Edge devices | https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-edge |180| 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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