What are the benefits of using IaC for managing your messaging infrastructure?
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what is azure service bus
- What are the recommended migration strategies and tools? How can you use Azure Service Bus to build scalable and reliable data ingestion pipelines for big data analytics platforms like Azure Synapse Analytics or Azure Databricks?
- What are the use cases for Azure Service Bus topics? What are the different messaging patterns supported by Azure Service Bus?
- What are the common pitfalls to avoid when troubleshooting Service Bus applications? How can you use Azure Service Bus to implement transactional outbox patterns, ensuring that database updates and message publishing occur atomically in a distributed system?
- Are there any tools or frameworks that simplify cross-platform messaging integration with Service Bus? How can you use Azure Service Bus to build resilient and scalable data pipelines for ETL (Extract, Transform, Load) or data streaming scenarios?
- What are the patterns for handling high-throughput data streams with Service Bus? How can you use Azure Service Bus to implement event sourcing, an architectural pattern where changes to the state of an application are captured as a sequence of events?
- How do you implement idempotent message processing? What are the challenges of ensuring idempotency in a distributed system?
- How do you send messages using the Java SDK? How do you send messages using the Python SDK?
- What are the built-in resilience features of Service Bus?
- When would you choose Azure Service Bus over these alternatives? What are some common design patterns for asynchronous communication using Azure Service Bus?
- How do you configure and manage network access restrictions for Service Bus? How can you use Azure Service Bus to implement a distributed audit log, where events or actions occurring across different parts of your system are reliably recorded in a central message queue or topic?
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