AWS-Day10-Assignment
(AWS Lambda, Step Functions, API Gateway)
1. What is Serverless Computing? What are the advantages of using serverless computing?
Ans:
Serverless computing is a cloud computing model that allows developers to build and run applications without the need to manage the underlying infrastructure. In a traditional server-based model, developers are responsible for provisioning, configuring, and managing servers to run their applications. In contrast, serverless computing abstracts away the server management aspect, allowing developers to focus solely on writing code and deploying functions or services.
Advantages:
No Server Management: Serverless platforms abstract away infrastructure management tasks, such as server provisioning, scaling, and maintenance. Developers can focus solely on writing code, which simplifies the development process.
Automatic Scaling: Serverless platforms automatically handle the scaling of your application based on the incoming traffic or events. This ensures that your application can handle spikes in usage without manual intervention.
Cost-Efficiency: With serverless, you only pay for the resources consumed during the execution of your functions or services. This pay-as-you-go pricing model can be more cost-effective than provisioning and maintaining dedicated servers, especially for applications with variable workloads.
High Availability: Serverless platforms typically offer built-in redundancy and high availability. Cloud providers manage the underlying infrastructure to ensure minimal downtime.
Event-Driven Architecture: Serverless applications are designed to respond to events, such as HTTP requests, database changes, file uploads, or scheduled tasks. This event-driven approach enables building responsive and scalable applications.
Rapid Development: Serverless architectures encourage rapid development because developers can write code, test it, and deploy it quickly. There's no need to worry about infrastructure setup and configuration.
2. Define some of the Serverless Computing Services in AWS.
Ans:
Amazon Web Services (AWS) offers a range of serverless computing services that allow you to build and deploy applications without the need to manage servers. Here are some of the key serverless computing services provided by AWS:
AWS Lambda: AWS Lambda is a core serverless compute service that allows you to run code in response to various events, such as HTTP requests, database changes, or file uploads. You upload your code as a function, and Lambda automatically manages the infrastructure, scaling, and availability.
Amazon API Gateway: This service enables you to create, publish, and manage APIs for your serverless applications. You can use it in conjunction with AWS Lambda to build RESTful APIs or WebSocket APIs, making it easy to expose your serverless functions to the internet.
Amazon DynamoDB: DynamoDB is a managed NoSQL database service that can be a key component of serverless applications. It's designed for high scalability, low latency, and automatic scaling based on your application's needs. Lambda functions can easily integrate with DynamoDB for data storage.
Amazon S3 (Simple Storage Service): S3 is an object storage service that can trigger AWS Lambda functions when objects are created, modified, or deleted in a bucket. This allows you to build serverless data processing pipelines, such as image or file processing.
Amazon SNS (Simple Notification Service) and Amazon SQS (Simple Queue Service): These are messaging services that enable you to build event-driven, decoupled applications. Lambda functions can be triggered by SNS notifications or messages in SQS queues, allowing you to create scalable, loosely coupled systems.
Amazon EventBridge: EventBridge is a serverless event bus service that makes it easy to connect different AWS services and your own applications using events. It allows you to build event-driven architectures and trigger Lambda functions based on events generated within or outside of AWS.
These AWS serverless services allow you to build highly scalable, event-driven, and cost-effective applications without the need to manage the infrastructure, making it easier to focus on writing code and delivering value to your users.
3.What is AWS Lambda? What are the features and advantages of using Lambda?
Ans:
AWS Lambda is a serverless compute service provided by Amazon Web Services (AWS). It allows you to run code without having to provision or manage servers. AWS Lambda is designed to make it easier for developers to build and deploy applications by abstracting away the underlying infrastructure and operational complexities.
AWS Lambda offers a range of features and advantages that make it a powerful and popular service for building serverless and event-driven applications. Here are some of the key features and advantages of using AWS Lambda:
Features:
Event-Driven: AWS Lambda is designed to be event-driven. It can be triggered by a wide range of events, such as HTTP requests, changes in data in Amazon S3 or DynamoDB, messages in SQS or SNS, and custom events generated by your applications. This event-driven model enables you to respond to events in near real-time.
Multiple Programming Languages: Lambda supports multiple programming languages, including Node.js, Python, Ruby, Java, Go, .NET Core, and custom runtimes. This flexibility allows you to write functions in the language you're most comfortable with.
Pay-as-You-Go Pricing: Lambda follows a pay-as-you-go pricing model. You are billed based on the number of requests and the compute time required to execute your functions. You don't pay for idle time, making it cost-effective for sporadically used functions.
Automatic Scaling: AWS Lambda automatically scales the execution of your functions in response to incoming traffic or events. It manages the underlying infrastructure, ensuring that there are enough resources available to handle the workload, without manual intervention.
Stateless Execution: Lambda functions are typically stateless, which means they do not retain data between invocations. This statelessness promotes better scalability and fault tolerance. If you need to maintain a state, you can use external storage services like Amazon DynamoDB or AWS S3.
Advantages:
Simplified Infrastructure Management: Lambda abstracts away the complexities of infrastructure management, allowing developers to focus solely on writing code. This simplifies application development and reduces operational overhead.
Scalability: Lambda offers automatic scaling, ensuring that your functions can handle varying workloads and traffic spikes without manual intervention. This scalability helps maintain application performance.
Cost-Efficiency: The pay-as-you-go pricing model means you only pay for the resources used during function execution. This can result in cost savings, especially for applications with variable workloads.
Rapid Development: Lambda encourages rapid development because developers can write code, test it, and deploy it quickly without worrying about server provisioning or configuration.
Event-Driven Architectures: Lambda is well-suited for event-driven architectures, enabling you to build responsive and scalable applications that react to various events.
Integration: Lambda seamlessly integrates with other AWS services, allowing you to leverage the broader AWS ecosystem for building complex applications.
High Availability: AWS Lambda functions benefit from the high availability and redundancy provided by AWS, reducing the risk of application downtime.
Security: Lambda includes built-in security features and integrates with AWS Identity and Access Management (IAM) for access control, helping you secure your applications and data.
Overall, AWS Lambda is a versatile and powerful service that simplifies application development, improves scalability, and can result in cost savings for a wide range of use cases. It's a fundamental building block for serverless and event-driven architectures on AWS.
4. What are the different languages supported by AWS Lambda?
Ans:
Node.js: AWS Lambda supports Node.js, allowing you to write serverless functions using JavaScript or TypeScript.
Python: You can write Lambda functions using Python, which is a popular choice for data processing and automation tasks.
Ruby: Ruby is supported by AWS Lambda, enabling you to develop functions using this programming language.
Java: AWS Lambda provides support for Java, making it possible to write Java-based serverless functions.
Go: Go (or Golang) is another supported language, offering high performance for serverless applications.
.NET Core: You can develop AWS Lambda functions using .NET Core, which allows you to write functions in C#.
Custom Runtimes: In addition to the officially supported languages, AWS Lambda allows you to use custom runtimes. This means you can run code in languages that are not directly supported by providing a custom runtime environment. This feature provides flexibility for specialized use cases.
Please note that AWS may have added support for additional languages or made changes to the supported runtimes since my last update. Always refer to the official AWS Lambda documentation or AWS announcements for the most current information on supported languages and runtimes.
5. What are the different ways the AWS Lambda function be invoked?
Ans:
The different ways to invoke an AWS Lambda function:
AWS Lambda can be invoked synchronously, asynchronously, or through event source mapping. Let’s explore each of them.
Synchronous invocation
With synchronous invocation, the caller waits for the function to process the event and return a response. Details about the function response, including errors, are included in the response body and headers. When invoked synchronously, Lambda sends the request directly to the function and then the function’s response is sent back to the caller. When you invoke a function directly, you are responsible to examine the response, determining whether an error has happened and whether to retry.
You can invoke Lambda functions directly using the Lambda console, a function URL HTTP(S) endpoint, the Lambda API, an AWS SDK, the AWS Command Line Interface (AWS CLI), and AWS toolkits. You can also configure other AWS services to invoke your function synchronously, like API Gateway, CloudFront (Lambda@Edge), Elastic Load Balancer, etc.
Asynchronous invocation
When you invoke a function asynchronously, you don’t wait for a response from the function code. You hand off the event to Lambda and Lambda handles the rest. Lambda handles retries and can send invocation records to a destination.
With asynchronous invocation, Lambda queues the event for processing and returns a response immediately. Lambda places the event in a queue and returns a successful response without additional information. A separate process reads events from the queue and sends them to your function. If an error occurs, AWS will automatically retry the invoke.
Several services invoke Lambda function asynchronously: Simple Storage Service (S3), Simple Notification Service (SNS), Simple Email Service, Event Bridge, CloudWatch Logs, etc.
Event source mapping
Lambda uses event source mapping to process items from a stream or queue. This invocation type is also known as poll-based invocation. You can use event source mappings to process items from a stream or queue in services that don’t invoke Lambda functions directly.
An event source mapping is a Lambda resource that reads events from an event source and sends them to your function in batches. Each event that your function processes can contain hundreds or thousands of items. You can configure the batching behavior by setting a batching window and batch size. A batching window is the maximum amount of time to gather resources into a single batch. Batch size is the maximum number of events in a single batch.
Lambda event source mappings process events at least once due to the distributed nature of its pollers. As a result, in rare situations, your Lambda function may receive duplicate events.
Lambda provides event source mappings for the following services: DynamoDb, Simple Queue Service (SQS), Kinesis, etc.
Conclusion
Depending on who invokes your function and how it’s invoked, scaling behavior and the types of errors that occur can vary.
6. What are AWS Step Functions?
Ans:
AWS Step Functions is a serverless orchestration service provided by Amazon Web Services (AWS). It enables you to coordinate and manage the execution of multiple AWS services as a workflow, making it easier to build complex, multi-step applications or business processes. Step Functions helps you design, visualize, and execute workflows by defining a series of steps and the conditions that determine their execution.
7. What is an API? Give examples of some of the Public API endpoints available.
Ans:
An API, or Application Programming Interface, is a set of rules and protocols that allows different software applications to communicate with each other. It defines the methods and data formats that applications can use to request and exchange information. APIs are used to enable the integration of different software systems, allowing them to work together and share data and functionality.
Here are examples of some commonly used public API endpoints:
Weather Data:
- OpenWeatherMap API: Provides access to weather data, including current weather, forecasts, and historical weather information for locations worldwide.
Geolocation:
Google Maps Geocoding API: Allows you to convert addresses into geographic coordinates and vice versa.
Mapbox Geocoding API: Offers geocoding and reverse geocoding services with customizable maps.
Social Media:
Twitter API: Provides programmatic access to Twitter's data, allowing you to retrieve tweets, post tweets, and interact with Twitter users.
Facebook Graph API: Allows you to interact with Facebook data, including user profiles, posts, and photos.
Payment Processing:
Stripe API: Enables developers to integrate payment processing into their websites or applications, making it easier to accept credit card payments.
PayPal REST API: Provides access to PayPal's payment processing services for online payments and transactions.
8. What is API Gateway? What are the advantages of using API Gateway in AWS?
Ans:
API Gateway, in the context of cloud computing and web services, is a serverless service that enables you to create, publish, manage, and secure APIs (Application Programming Interfaces) for your applications. It acts as a gateway or entry point for clients (such as web browsers, mobile apps, or other services) to interact with backend services or resources, including AWS Lambda functions, AWS Elastic Beanstalk applications, Amazon S3 buckets, and more. API Gateway plays a crucial role in building and exposing APIs that are scalable, reliable, and secure.
Here are some of the key advantages of using API Gateway:
Simplified API Management: API Gateway simplifies the process of creating, publishing, and managing APIs. It provides a centralized platform for designing and deploying APIs, reducing the operational complexity of managing API infrastructure.
Scalability: API Gateway is a fully managed, serverless service. It automatically scales to handle traffic spikes and growing workloads, ensuring your API remains responsive even during periods of high demand.
Security and Access Control: API Gateway offers robust security features, including authentication and authorization options. You can implement API key-based access, IAM integration, Lambda authorizers, and OAuth 2.0 authentication to control access to your API resources.
Rate Limiting and Throttling: You can configure rate limiting and throttling policies to prevent abuse and ensure fair usage of your API. This helps protect your backend resources from excessive requests.
9. Write a simple program in Python to trigger the lambda function every time a file is uploaded to S3.
10. What is AWS Secrets Manager? What are the advantages of Secrets Manager?
Ans:
AWS Secrets Manager is a managed service provided by Amazon Web Services (AWS) that helps you protect access to your applications, services, and IT resources without compromising on security. It simplifies the management and rotation of sensitive information, such as passwords, API keys, database connection strings, and other credentials, by providing a secure and centralized solution for storing, retrieving, and rotating secrets.
Advantages:
Enhanced Security: Secrets Manager provides a secure and centralized repository for storing sensitive information. It employs industry-standard encryption and access controls to protect secrets from unauthorized access.
Automatic Rotation: One of the most significant advantages is its ability to automatically rotate secrets. This feature reduces the risk associated with static credentials and ensures that credentials are regularly updated without manual intervention.
Integration with AWS Services: Secrets Manager seamlessly integrates with various AWS services, making it easy to retrieve secrets and configure resources securely. For example, you can use secrets stored in Secrets Manager to connect to Amazon RDS databases or authenticate with AWS Lambda functions.
Access Controls: AWS Identity and Access Management (IAM) policies can be used to control who can access secrets in Secrets Manager. You can define fine-grained permissions, limiting access to authorized users and services.
Audit Trail: Secrets Manager provides an audit trail of secret usage and rotation. You can monitor who accessed a secret, when it was accessed, and how it was used, helping with compliance and security audits.
11. What is AWS Event Bridge?
Ans:
EventBridge is a serverless service that uses events to connect application components together, making it easier for you to build scalable event-driven applications. Event-driven architecture is a style of building loosely-coupled software systems that work together by emitting and responding to events. Event-driven architecture can help you boost agility and build reliable, scalable applications.
Use EventBridge to route events from sources such as home-grown applications, AWS services, and third-party software to consumer applications across your organization. EventBridge provides simple and consistent ways to ingest, filter, transform, and deliver events so you can build applications quickly.
12. Define a cron expression on Eventbridge to schedule Lambda Function to run every day at 4 PM and verify the logs to confirm the same.