Introduction
AWS Lambda is a serverless computing service that allows you to run any application or backend services without provisioning or managing any servers and it also manages all the resources it needs to run the code on its own.
It is an event-driven computing service. It lets a person automatically run code in response to many types of events.
Features of Lambda
AutoScaling and High Availability
Pay-per-use-pricing
Serverless Execution
Multi-language support
Integration with other AWS Services
Versioning and Deployment
Security and Identity Management
When to use AWS Lambda?
AWS Lambda is generally used when someone does not know how to provision the infrastructure correctly but wants to run their backend services or application.
Lambda can and will scale up when there is an increase in traffic and reduce to almost zero when the traffic declines.
Use Cases of Lambda
Lambda can be triggered in certain ways:
Websites: Lambda can scale the Websites up and down based on the traffic it receives.
Mobile Apps: You can configure a lambda function to trigger on various events, such as to process the clicks within your custom mobile application.
File Processing: AWS lambda can be triggered by using AWS S3. Whenever files are added to the S3 service Lambda data processing will be triggered.
Creating a Lambda Function
Search for Lambda in your AWS Console and Select 'Author from Scratch'.
Use Python3 as your programming language.
Expand Advanced settings and tick the Enable Function URL option.
Change the Auth type to 'NONE' (For demo purposes).
Click Create Function.
Advantages
Zero Server Management
Automatic High Availability
Event-Driven Architecture
Scalability
Affordable
Disadvantages
Latency while starting
Limited control of infrastructure
Time Limit
Vendor Lock-In
Limited Computing and Memory Options
Final Words
To sum it up, lambda functions offer a practical and flexible approach to coding challenges, regardless of whether you're an experienced programmer or just starting out. These compact and versatile tools allow you to create and use small chunks of code efficiently, adding to the clarity and structure of your programs.
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