To use EC2 at all you would need your instance to be already available and waiting for the triggering event, which means 100 instance usage per month.Find out how different it is from EC2 and API Gateway pricing.
FIgure out the cost of running a serverless application and what are the potential cost optimization strategies. AWS Lambda Pricing: How Much it Costs to Run a Serverless Application I believe the study of the cost is no longer restricted to procurement. Aws Ec2 Pricing Data Transfer Software Development LifeIt is an integral part of the software development life cycle. It is important for the solution architect to understand the cost (visible and hidden) implications of choosing a particular technology. Software architectures designed on abstractions like containers, orchestration, and more recently serverless (FaaS) increases the development velocity and reduces complexity and cost. ![]() Thus the complexity of the cost of an application implies that the organization cant rely on their development teams to make that decision and needs a hands-on decision-maker. Even though AWS Lambda Pricing is pretty straightforward but the cost of running a serverless application is complex and involves many challenges. Table of Contents AWS Lambda Pricing: An Overview AWS Lambda Pricing vs EC2 Amazon API Gateway Pricing Calculating the Price of Serverless App How to Monitor Functions AWS Lambda Cost Optimization Strategies AWS Lambda Pricing: An Overview AWS Lambda is a classic example of the series of cloud technology products popularly known as serverless or function-as-a-service or FaaS. Aws Ec2 Pricing Data Transfer Code That RunsAWS Lambda is basically a piece of code that runs in an ephemeral container which terminates after serving its purpose i.e. Each of the Lambda function is configured based on the memory size (GB) and execution time measured in milliseconds. Memory Size (GB): This is the maximum memory size configuration that you allocate to your function from the AWS console. This suggests that even if you reduce your functions memory usage but do not tweak this configuration, you wont be able to observe any reduction in the cost. Execution time (ms): This is the actual time that a function takes to execute its code logic. Additionally, for example, if your function is making an outgoing call and is waiting till the response comes, the time spent idle will be also counted in the functions execution time. The overall duration of the executing functions is calculated from the time your code begins executing until it returns or terminated, rounded up to the nearest 100ms. To calculate the cost of each function, both these values are multiplied together to produce a unit GB-sec. Heres a chart which demonstrates the cost of executing 100,000 invocations of a Lambda function over the varying time. One must note that the execution time of the Lambda function also depends on the language runtime and 3rd-party dependencies. Image source here. Note: GB-sec is just a composite unit used to measure AWS Lambda offering. The current price of AWS Lambda is Compute charges: 0.00001667invocation Request charges: 0.2M requests Lambda Pricing vs EC2 Lets compare the charges between AWS Lambda EC2 for two different use cases: 1. Low Compute Use Case For low compute use cases (such as scheduled CRON jobs, transform on upload, readwrite to DynamoDB, serverless authentication) consider the following scenario for our application: Allocated memory 512 MB No. Lambda is designed for functions that are to be executed rapidly after being triggered by the events. To get the benefit of the on-demand EC2 instances, you will have to spin up the container manually each time a function is called. Unfortunately, that would add a tremendous amount of processing overhead and make a function slow.
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