In this video, I have discussed the AWS Lambda Service concurrency. Using an analogy of a restaurant I have elaborated the difference between Unreserved, Reserved, and Provisioned Concurrency. Mainly, I have addressed the following questions:-
What is AWS Lambda Service Concurrency
What is the difference between the Reserved and Provisioned Concurrency of Lambda functions?
What are some use cases for choosing either Reserved or Provisioned concurrency?
To summarise: The Reserved concurrency represents the maximum number of concurrent instances allocated to your function. When a function has reserved concurrency, no other function can use that concurrency. Configuring reserved concurrency for a function incurs no additional charges.
And, the Provisioned concurrency is the number of pre-initialized execution environments allocated to your function. These execution environments are ready to respond immediately to incoming function requests. Configuring provisioned concurrency incurs additional charges to your AWS account.
At the end of the video, I give a practical demo of how to configure the Reserved and Provisioned Concurrency of a Lambda function using AWS Management Console.
Further readings:
AWS Docs: docs.aws.amazon.com/lambda/la...
Time markers:-
00:42 The three types of concurrencies in the context of AWS Lambda Service
00:58 Analogy of a Restaurant using the Seating Capacity and Reservations
02:59 Concurrency limits in AWS Lambda Service
03:24 What is Lambda throttling?
04:57 How to increase the Lambda functions concurrency limit?
05:13 Definitions of Unreserved and Reserved Concurrency
05:52 Intentionally throttling a Lambda function using Reserved concurrency of 0
06:10 What is the Provisioned concurrency of Lambda functions?
07:00 When to use the Reserved Concurrency (the use cases) or why you should use it?
08:27 What are the use cases for Provisioned concurrency?
08:50 Demo of using the Reserved Concurrency, or how to configure it in AWS Management Console.
10:43 Demo of using the Provisioned Concurrency, or how to configure it in AWS Management Console.