What is Lambda on AWS?
Run code without having to worry about workload-aware cluster scaling logic, runtime management, server provisioning or management, or event integrations.Run code for practically any type of application or backend service. Lambda will automatically divide compute execution power and run your code for any level of traffic based on incoming requests or events if you only upload it as a container image or ZIP file.
Use serverless and container tools like AWS SAM or Docker CLI to design, test, and deploy Lambda functions in the language of your choice (Node.js, Python, Go, Java, and more).
Why use AWS Lambda?
AWS Lambda, a compute service that automatically maintains the computing resources and runs your code in response to events, is the fastest way to turn a concept into a modern, production serverless application.Applications
Web-Based Programs
By connecting AWS Lambda with other AWS services, developers can build reliable web applications that run in a highly available configuration across several data centers and scale up and down automatically. Administrative tasks pertaining to scalability, backups, or multi-data center redundancy are thus no longer necessary.Machine Learning
You may preprocess data using AWS Lambda before feeding it into your machine learning model. With Lambda access to EFS, you can also use your model for prediction at scale without having to deploy or manage any infrastructure.Data Processing
Execute code in response to triggers, such as modifications in data, system status, or user activity. Lambda may link with processes via AWS Step Functions or connect to existing EFS file systems. AWS services like S3, DynamoDB, Kinesis, or SNS can activate it. You may build a variety of serverless real-time data processing systems using this.Benefits of Lambda
There is no need for server management.
Run code without resource allocation or management. Simply write the code and submit it as a zip file or container image.Automatic scaling
Automatically respond to requests for code execution, regardless of the scale—from a dozen events per day to hundreds of thousands per second.Pricing based on use
Save money by only paying for the milliseconds of compute time that you actually need, rather than pre-allocating infrastructure for peak capacity.Performance optimization
To optimize code execution time and speed, choose the right function memory size. You can respond to high demand in double-digit milliseconds using Provisioned Concurrency.Features of Lambda on AWS
AWS Lambda manages computational resources by executing code in response to events. Learn how quick and inexpensive application development is made possible by AWS's extensive infrastructure offers and capabilities.The following are some more functionalities of AWS Lambda:
Support for several languages
Python, Java, Kotlin, C#, and Node.js may all be used to run back-end code.Images of containers
You may create a container image for a Lambda function to use pre-existing container tools or deploy larger workloads.You may monitor your Lambda function's performance with instrumentation tools like Gatling and AWS X-Ray. Third-party log management tools, such as CloudWatch, can also be used to gauge invocation, performance, and concurrency.
AWS Lambda serverless computing service
Serverless computing service Developers may run code without server maintenance thanks to AWS Lambda:- Event-driven: For instance, Lambda runs code in response to a user adding an item to their shopping cart.
- Pay as you go: You only pay for the compute time you use; there is no charge when your code is not running.
- Automatic administration: Lambda handles the computer resources required by your code automatically.
- High availability: Lambda is used to scale your code with high availability.
- Integration: You can set up your code to execute automatically from other AWS services, or you can call it directly from a web or mobile application.
- Security: Lambda protects customer data against unauthorized access.
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