azure-stream-analytics

name	azure-stream-analytics
description	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).
compatibility	Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation.
metadata	{"generated_at":"2026-04-05","generator":"docs2skills/1.0.0"}

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

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

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

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

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

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

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