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In this video, we are going to see how to configure a lambda functions and which configurations are

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existing on lambda function.

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Then we create the function a place lambda has several options to configure function.

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Some of the configurations can change after creating the function.

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For example, when we choose the runtime and the type of the deployment package do need to function

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create operation, this configuration cannot be changed later.

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After you create the function, we can configure settings for many functions, capabilities and options.

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For example, permissions environment variables takes under layers.

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We will see all these configurations and settings when creating function on a management console, but

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before that it is good to learn which type of configurations can be set for the lambda functions in

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the management console.

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The function configuration tab provides these configurations.

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Let me overview this configuration, for example.

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The first one is the general configurations.

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We can configure memory settings in here.

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This is so important because memory configuration led to provide concurrency capacity of lambda function.

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We can also configure function, timeout and the execution role.

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Another configuration is permissions.

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We can configure the execution role and other permissions in this tab, and we can also configure environment

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variables.

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We can set key value space for lambda function in the execution environment.

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This is the best practice to use environment variable in order to manage our functions configuration

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outside of the code.

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And another configuration is text.

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We can set key value space that lambda attach to our function resources.

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We can use text to organize lambda functions into groups for costing, reporting and filtering lambda

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console.

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If we continue to order configurations, we can also configure virtual private cloud VPC one.

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We need to set network access to add resources and we can also set the concurrency.

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Concurrency configuration is very important.

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Basically, we can reserve concurrency for a function to set maximum number of the simultaneous execution

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for particular function provision concurrency to ensure that function that scale without fluctuations

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in latency.

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And we can also configure function URL.

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This is the new feature of a lambda functions.

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We can configure the function URL to add a unique https and print to our lambda function.

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Basically it is exposing API without using the API gateway.

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You can think to expose single microservices to external world.

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And we have also additional settings like triggers destinations, asynchronous invocation, code, signing

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database proxies, file systems, state machines and so on.

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We will see all these settings when developing different use cases with lambda functions during the

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course.