What are some best practices for optimizing performance in Azure Functions?
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One best practice is to minimize the use of external dependencies and network calls to avoid latency. Using in-memory caching for frequently accessed data can also improve performance. Additionally, scaling your Azure Functions based on the expected workload and using durable functions to handle long-running workflows can help optimize performance.
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Another best practice is to leverage the Azure Functions Consumption Plan, which automatically scales your functions based on demand. You can also use the Azure Application Insights service to monitor and analyze the performance of your functions, allowing you to identify and fix any bottlenecks.
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