Serverless-Lambda
Last updated
Last updated
AWS Lambda is a serverless computing service provided by Amazon Web Services (AWS). Users of AWS Lambda create functions, self-contained applications written in one of the supported languages and runtimes, and upload them to AWS Lambda, which executes those functions in an efficient and flexible manner.
The Lambda functions can perform any kind of computing task, from serving web pages and processing streams of data to calling APIs and integrating with other AWS services.
The concept of “serverless” computing refers to not needing to maintain your own servers to run these functions. AWS Lambda is a fully managed service that takes care of all the infrastructure for you. And so “serverless” doesn’t mean that there are no servers involved: it just means that the servers, the operating systems, the network layer and the rest of the infrastructure have already been taken care of, so that you can focus on writing application code.
Auto Scaling and High Availability
Serverless Execution
Pay-per-use-pricing
Supports different programming languages
Versioning and Deployment
Lambda Workflow
Each Lambda function runs in its own container. When a function is created, Lambda packages it into a new container and then executes that container on a multi-tenant cluster of machines managed by AWS.
The entire infrastructure layer of AWS Lambda is managed by AWS. Customers don’t get much visibility into how the system operates, but they also don’t need to worry about updating the underlying machines, avoiding network contention, and so on—AWS takes care of this itself.
One of the distinctive architectural properties of AWS Lambda is that many instances of the same function, or of different functions from the same AWS account, can be executed concurrently.
AWS Lambda has a few unique advantages over maintaining your own servers in the cloud. The main ones are:
Pay per use. In AWS Lambda, you pay only for the compute your functions use, plus any network traffic generated. For workloads that scale significantly according to time of day, this type of billing is generally more cost-effective.
Fully managed infrastructure. Now that your functions run on the managed AWS infrastructure, you don’t need to think about the underlying servers—AWS takes care of this for you. This can result in significant savings on operational tasks such as upgrading the operating system or managing the network layer.
Automatic scaling. AWS Lambda creates the instances of your function as they are requested. There is no pre-scaled pool, no scale levels to worry about, no settings to tune—and at the same time your functions are available whenever the load increases or decreases. You only pay for each function’s run time.
Due to Lambda’s architecture, it can deliver great benefits over traditional cloud computing setups for applications where:
individual tasks run for a short time;
each task is generally self-contained;
there is a large difference between the lowest and highest levels in the workload of the application.
Cold start time
Function limit
Not-Always Cost effective
Limited number of supported runtime
