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akrnd085 · 28 days

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AWS Lambda: Harnessing Serverless Computing

AWS Lambda graviton is a serverless compute service that runs your code in response to events and automatically manages the underlying compute resources for you. This article will explore the capabilities, use cases, and best practices for AWS Lambda, incorporating relevant examples and code snippets.

Understanding AWS Lambda graviton AWS Lambda allows you to run code without provisioning or managing servers. You can run code for virtually any type of application or backend service with zero administration. Lambda automatically scales your application by running code in response to each trigger.

Key Features of AWS Lambda Automatic Scaling: Lambda functions automatically scale with the number of triggers. Cost-Effective: You only pay for the compute time you consume. Event-Driven: Integrates with AWS services seamlessly to respond to events. Setting Up a Lambda Function 1. Create a Function: In the AWS Management Console, select Lambda and create a new function.

2. Configure Triggers: Choose triggers like HTTP requests via Amazon API Gateway or file uploads to S3.

3. Upload Your Code: Write your function code in languages like Python, Node.js, Java, or Go.

Example of a simple Lambda function in Python: import json

def lambda_handler(event, context):

print(“Received event: “ + json.dumps(event, indent=2))

return {

‘statusCode’: 200,

‘body’: json.dumps(‘Hello from Lambda!’)

} Deployment and Execution Deploy your code by uploading it directly in the AWS Console or through AWS CLI.

Lambda functions are stateless; they can quickly scale and process individual triggers independently.

Integrating AWS Lambda with Other Services Lambda can be integrated with services like Amazon S3, DynamoDB, Kinesis, and API Gateway. This integration allows for a wide range of applications like data processing, real-time file processing, and serverless web applications.

Monitoring and Debugging AWS Lambda integrates with CloudWatch for logging and monitoring. Use CloudWatch metrics to monitor the invocation, duration, and performance of your functions.

Best Practices for Using AWS Lambda Optimize Execution Time: Keep your Lambda functions lean to reduce execution time. Error Handling: Implement robust error handling within your Lambda functions. Security: Use IAM roles and VPC to secure your Lambda functions. Version Control: Manage different versions and aliases of your Lambda functions for better control. Use Cases for AWS Lambda Web Applications: Build serverless web applications by integrating with Amazon API Gateway. Data Processing: Real-time processing of data streams or batch files. Automation: Automate AWS services and resources management. Performance Tuning and Limitations Be aware of the execution limits like execution timeout and memory allocation. Optimize your code for cold start performance. Cost Management Monitor and manage the number of invocations and execution duration to control costs. Utilize AWS Lambda’s pricing calculator to estimate costs. Conclusion AWS Lambda graviton represents a paradigm shift in cloud computing, offering a highly scalable, event-driven platform that is both powerful and cost-effective. By understanding and implementing best practices for Lambda and incorporating ECS agents, developers can build highly responsive, efficient, and scalable applications without the overhead of managing servers. ECS agent enhance this infrastructure by enabling the seamless deployment and management of Docker containers, offering a flexible and efficient approach to application development and deployment. With Lambda and ECS agents working together, developers can leverage the benefits of serverless computing while ensuring optimal performance and resource utilization in containerized environments.

#lambda graviton

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tutorialwithexample · 3 months

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Building Scalable Applications with AWS Lambda: A Complete Tutorial

Are you curious about AWS Lambda but not sure where to begin? Look no further! In this AWS Lambda tutorial, we'll walk you through the basics in simple terms.

AWS Lambda is like having a magic wand for your code. Instead of worrying about servers, you can focus on writing functions to perform specific tasks. It's perfect for building applications that need to scale quickly or handle unpredictable workloads.

To start, you'll need an AWS account. Once you're logged in, navigate to the Lambda console. From there, you can create a new function and choose your preferred programming language. Don't worry if you're not a coding expert – Lambda supports many languages, including Python, Node.js, and Java.

Next, define your function's triggers. Triggers are events that invoke your function, such as changes to a database or incoming HTTP requests. You can set up triggers using services like API Gateway or S3.

After defining your function, it's time to test and deploy. Lambda provides tools for testing your function locally before deploying it to the cloud. Once you're satisfied, simply hit deploy, and Lambda will handle the rest.

Congratulations! You've now dipped your toes into the world of AWS Lambda. Keep experimenting and exploring – the possibilities are endless!

For more detailed tutorials and resources, visit Tutorial and Example.

Now, go forth and build amazing things with AWS Lambda!

#AWS Lambda Tutorial

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anusha-g · 3 months

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"6 Ways to Trigger AWS Step Functions Workflows: A Comprehensive Guide"

To trigger an AWS Step Functions workflow, you have several options depending on your use case and requirements:

AWS Management Console: You can trigger a Step Functions workflow manually from the AWS Management Console by navigating to the Step Functions service, selecting your state machine, and then clicking on the "Start execution" button.

AWS SDKs: You can use AWS SDKs (Software Development Kits) available for various programming languages such as Python, JavaScript, Java, etc., to trigger Step Functions programmatically. These SDKs provide APIs to start executions of your state machine.

AWS CLI (Command Line Interface): AWS CLI provides a command-line interface to AWS services. You can use the start-execution command to trigger a Step Functions workflow from the command line.

AWS CloudWatch Events: You can use CloudWatch Events to schedule and trigger Step Functions workflows based on a schedule or specific events within your AWS environment. For example, you can trigger a workflow based on a time-based schedule or in response to changes in other AWS services.

AWS Lambda: You can integrate Step Functions with AWS Lambda functions. You can trigger a Step Functions workflow from a Lambda function, allowing you to orchestrate complex workflows in response to events or triggers handled by Lambda functions.

Amazon API Gateway: If you want to trigger a Step Functions workflow via HTTP requests, you can use Amazon API Gateway to create RESTful APIs. You can then configure API Gateway to trigger your Step Functions workflow when it receives an HTTP request.

These are some of the common methods for triggering AWS Step Functions workflows. The choice of method depends on your specific requirements, such as whether you need manual triggering, event-based triggering, or integration with other AWS services.

#AWS #StepFunctions #WorkflowAutomation #CloudComputing #AWSManagement #Serverless #DevOps #AWSLambda #AWSCLI #AWSConsole #magistersign #onlinetraining #cannada #support #usa

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awstrainingtipsandtricks · 8 months

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Is AWS Lambda serverless computing?

Yes, AWS Lambda is a serverless computing service provided by Amazon Web Services (AWS). Serverless computing is a cloud computing model that allows you to run code without provisioning or managing servers. AWS Lambda is a prime example of a serverless platform, and it offers the following key features:

No Server Management

With AWS Lambda, you don't need to worry about server provisioning, scaling, patching, or maintenance. AWS takes care of all the underlying infrastructure, allowing you to focus solely on your code.

Event-Driven

AWS Lambda functions are triggered by specific events, such as changes to data in an Amazon S3 bucket, updates to a database table, or HTTP requests via Amazon API Gateway. When an event occurs, Lambda automatically runs the associated function.

Auto-Scaling

AWS Lambda scales your functions automatically based on the incoming workload. It can handle a single request or millions of requests simultaneously, ensuring that you only pay for the compute resources you use.

Stateless

Lambda functions are stateless, meaning they don't maintain persistent server-side state between invocations. They operate independently for each event, making them highly scalable and fault-tolerant.

Pay-Per-Use

With Lambda, you are billed based on the number of requests and the execution time of your functions. There is no charge for idle resources, which makes it cost-effective for workloads with variable or sporadic traffic.

Integration with Other AWS Service

Lambda integrates seamlessly with various AWS services, making it a powerful tool for building event-driven applications and workflows. It can be used for data processing, real-time file processing, backend API logic, and more.

Support for Multiple Programming Languages

AWS Lambda supports a variety of programming languages, including Python, Node.js, Java, Ruby, C#, PowerShell, and custom runtimes. This flexibility allows you to choose the language that best suits your application.

#Is AWS Lambda serverless computing?#AWS certification

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verifyaddresslookup · 9 months

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AWS Address Lookup API and Lambda Functions

The files are in CSV format and the metadata is in plain text. The file list is organized by manuscript and contains a row per manuscript with a number of fields. Each manuscript has an ETag, which represents a unique version of the manuscript. The ETag is a 64-bit integer value that is computed from the contents of an object.

AWS provides multiple ways to expose your services publicly, including EC2 instances with public access and the more common use of Elastic IPs for load balancers. Exposing these services can allow attackers to run port scans to identify weaknesses in your infrastructure and target attacks based on identified vulnerabilities.

This blog post shows how to leverage AWS API Gateway and Lambda functions to perform address validation using Amazon Location Service Places. The service offers point-of-interest search functionality, and can convert a text string into geographic coordinates (geocoding) or reverse geocode a coordinate into a street address (reverse geocoding). The service also provides data storage options for your results.

To start, create an HTTP API in the AWS API Gateway console by selecting “API Gateway” in the Function Configuration form’s dropdown and choosing “Create a new API”. Once the API is created, select it in the console’s details page and open the Function Designer to set up connections for the Lambda function. These connections take the form of triggers -- various AWS services that can invoke your Lambda -- and destinations -- other AWS services that can route your lambda’s return values.

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varunsngh007 · 1 year

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What is AWS Lambda?

AWS Lambda is a serverless computing service provided by Amazon Web Services (AWS) that allows developers to run their code without the need to provision or manage servers. It follows the concept of Function as a Service (FaaS), where developers can write their code as individual functions and execute them in response to specific events or triggers.

With AWS Lambda, developers can focus on writing the actual application logic without the burden of server management. They upload their code to Lambda and define the event sources that will trigger the execution of their functions. These event sources can be various AWS services, such as Amazon S3, DynamoDB, Kinesis, or external sources like API Gateway or CloudWatch Events. Lambda functions can also be scheduled to run at specified intervals using time-based triggers.

When a function is triggered, Lambda automatically provisions the necessary compute resources to execute the code. It runs the code in an isolated environment, managing all aspects of scaling, fault tolerance, and availability. The function's code can access other AWS services and resources as needed, using the appropriate permissions and security configurations.

AWS Lambda supports a wide range of programming languages, including Python, Java, Node.js, C#, Go, and more. Developers can choose the language that best suits their needs and write functions using familiar syntax and frameworks.

One of the key benefits of AWS Lambda is its scalability. It automatically scales the execution of functions based on the incoming request load. If there is a high volume of requests, Lambda provisions additional resources to handle the load, ensuring that functions are executed in parallel and without any manual intervention. This scalability allows applications to handle sudden spikes in traffic and ensures high performance and responsiveness.

Another advantage of Lambda is its cost efficiency. Users only pay for the compute time consumed by their functions, measured in milliseconds. There are no charges for idle server time, and AWS takes care of resource allocation and optimization. This pay-as-you-go model makes Lambda a cost-effective choice for applications with unpredictable or varying workloads. By obtaining AWS Masters Course, you can advance your career in AWS. With this course, you can demonstrate your expertise in n-premise infrastructure to AWS, developing and maintaining AWS-based applications, and building CI-CD pipelines using AWS, many more fundamental concepts, and many more critical concepts among others.

Additionally, AWS Lambda integrates seamlessly with other AWS services, enabling developers to build powerful and scalable applications. Functions can interact with services like Amazon S3 for storing and retrieving data, DynamoDB for database operations, SNS for notifications, and more. This integration allows developers to create event-driven architectures and build sophisticated applications using a combination of serverless components.

AWS Lambda offers several benefits:

Serverless Architecture: Developers can focus on writing code and building applications without worrying about server management, operating systems, or infrastructure scaling. Lambda abstracts away the underlying infrastructure, allowing developers to focus on their core application logic.

Scalability: Lambda automatically scales the execution of functions in response to incoming requests. It can handle a few requests per day or millions of requests per second, ensuring high availability and performance without the need for manual scaling.

Cost Efficiency: With Lambda, developers pay only for the actual compute time consumed by their functions. There are no upfront costs or charges for idle server time. AWS handles the underlying infrastructure management, optimizing resource allocation and reducing costs.

Event-Driven Programming: Lambda functions can be triggered by various event sources, allowing developers to build event-driven architectures. This enables real-time processing of data, immediate response to events, and seamless integration with other AWS services.

Integration with AWS Services: Lambda integrates well with other AWS services, enabling developers to build serverless applications that leverage the capabilities of various AWS offerings. It can interact with services like Amazon S3, DynamoDB, SNS, SQS, API Gateway, and more, providing a powerful foundation for building scalable and flexible applications.

Developer Productivity: Lambda simplifies the deployment and management of code. Developers can easily update their functions, monitor their performance through logs and metrics, and leverage the AWS Serverless Application Model (SAM) to define and deploy serverless applications as a whole.

AWS Lambda is widely used for various use cases, such as data processing, real-time file processing, API backends, mobile and web applications, IoT data handling, and more. It offers developers a highly scalable and cost-efficient way to build and deploy applications in a serverless manner, freeing them from infrastructure management and enabling rapid development and deployment cycles.

#aws #aws training #aws certification #aws course

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obihub · 1 year

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#AWS #awschalice #deploy #restfulservice

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inextures · 7 months

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AWS Lambda Functions: A Comprehensive Guide

Introduction to AWA Lambda

AWS Lambda, an imaginative and effective cloud-based platform that permits developers to run their code without the complexity of overseeing servers, introduces you to the universe of serverless computing.

Whether you’re new to AWS Lambda or need to look for some way to improve on your insight, this thorough guide will walk you through the ins and outs of Lambda functions, from the fundamentals of setting up your first function to more complex subjects like managing resources and optimizing performance.

Toward the finish of this, you’ll have a strong groundwork to start utilizing AWS Lambda for your own projects, as well as a large number of ideas and best practices to make your serverless journey a smooth and successful one. Let’s get started!

What is AWS Lambda?

AWS Lambda is an Amazon Web Services (AWS) serverless computing technology that allows developers to run code without installing or managing servers and automatically grows compute capacity based on incoming requests or events.

Benefits of AWS Lambda for Cloud Computing

Event-Driven: AWS Lambda functions are triggered by events. These events can originate from various sources, including HTTP requests through Amazon API Gateway, changes to data in Amazon DynamoDB, messages from Amazon Simple Queue Service (SQS), file uploads to Amazon S3, custom events, and more.

Auto-Scaling: AWS Lambda automatically scales your functions in response to the number of incoming events. It can handle a single request or millions of requests simultaneously, ensuring that there are enough resources allocated to process each event efficiently.

Pay-As-You-Go Pricing: With AWS Lambda, you only pay for the compute time your code consumes, measured in milliseconds. There are no upfront costs or charges for idle resources, making it cost-effective for applications with varying workloads.

Supported Languages: AWS Lambda supports multiple programming languages, including Node.js, Python, Java, Ruby, Go, .NET Core, and custom runtime options. This allows developers to write functions in their preferred language.

Stateless: Functions executed in AWS Lambda are designed to be stateless. Any required state or data must be stored externally, such as in databases, Amazon S3, or other AWS services.

Custom Runtimes: In addition to the supported languages, you can create custom runtimes, allowing you to run code in almost any language as a Lambda function.

Versioning and Aliases: AWS Lambda provides versioning and aliasing capabilities, allowing you to manage and control different versions of your functions. This is useful for deploying and testing new code without affecting the production environment.

No Server Management: Lambda abstracts away the complexities of server management. You don’t need to provision, configure, or maintain servers. This saves you time and resources that can be better spent on developing and improving your code.

Security and Compliance: AWS Lambda offers built-in security features, including Identity and Access Management (IAM) for fine-grained access control, VPC integration for private network access, and encryption for data at rest and in transit. AWS also provides compliance certifications for Lambda, making it suitable for regulated industries.

Low Latency: Lambda functions can execute quickly, often within milliseconds. This low latency is essential for building responsive and real-time applications.

Easy Integration: Lambda seamlessly integrates with other AWS services, such as Amazon S3, DynamoDB, SQS, and more. This simplifies building complex, serverless architectures that leverage the entire AWS ecosystem.

Use Cases for AWS Lambda

Real-time File Processing: Lambda can be triggered when files are uploaded to Amazon S3, allowing you to process, transform, or analyze the contents of the file in real time. This is useful for image and video transcoding, data validation, and log analysis.

Web Application Backends: Lambda functions can power the backend of web applications by handling HTTP requests via Amazon API Gateway. You can build RESTful APIs, microservices, and serverless web applications.

IoT (Internet of Things): AWS Lambda can process data from IoT devices and sensors, allowing you to react to events from connected devices in real time. It’s often used in combination with AWS IoT Core.

Scheduled Tasks: Lambda can execute code on a schedule (e.g., cron-like jobs) to automate various tasks like data backups, report generation, and data clean-up.

Data Processing and ETL: Lambda can process and transform data in real-time or batch mode. It can be triggered by changes in a database, new data arriving in a data stream (e.g., AWS Kinesis), or on a schedule (e.g., regular data imports).

Custom APIs and Webhooks: Lambda can create custom APIs or webhooks for third-party integrations, allowing external systems to interact with your applications.

User Authentication and Authorization: Lambda can be used to implement custom authentication and authorization logic for user access to resources, such as verifying JWT tokens or checking user permissions before granting access.

Monitoring and Alerting: Lambda can monitor various AWS services and trigger alerts or take actions when specific conditions are met, such as scaling resources up or down based on metrics.

Key Concepts of AWS Lambda

Triggers:

Triggers are events that cause AWS Lambda functions to execute. When a specific event occurs, Lambda can be configured to respond automatically.

Some common trigger sources include:

Amazon S3: Lambda can be triggered when objects are created, updated, or deleted in an S3 bucket.

Amazon DynamoDB: Lambda can respond to changes in DynamoDB tables, such as new records being inserted, or existing ones being modified.

Amazon API Gateway: Lambda can serve as the backend for RESTful APIs or web services, executing code in response to HTTP requests.

AWS CloudWatch Events: You can create custom rules in CloudWatch to trigger Lambda functions based on various events, such as AWS service events or scheduled events (cron jobs).

Custom Events: You can define custom events and use them to trigger Lambda functions within your application.

Execution Environment:

The execution environment refers to the infrastructure and resources allocated to run a specific instance of a Lambda function.

Here are some key points about the execution environment:

Isolation: Each Lambda function execution is isolated from others. It doesn’t share resources or state with other executions.

Statelessness: Lambda functions are designed to be stateless, meaning they don’t retain information between executions. Any data needed for subsequent executions must be stored externally, such as in a database or Amazon S3.

Resource Allocation: AWS Lambda automatically allocates CPU power, memory, and network resources based on the function’s configuration. You specify the memory size, and CPU power scales proportionally.

Function Versions:

AWS Lambda allows you to create different versions of your Lambda functions. Each version represents a snapshot of your function’s code and configuration at a specific point in time.

Here’s how versions work:

Immutable: Once you publish a version, it becomes immutable, meaning its code and configuration cannot be changed. This ensures that your production environment remains stable.

Aliases: You can create aliases for your Lambda functions (e.g., “prod,” “dev,” “v1”) and associate them with specific versions. Aliases provide a way to route traffic to different versions of your function without changing the function’s invocation code.

Rollback: If you discover issues with a new version, you can easily roll back to a previous, stable version by updating the alias to point to the desired version.

AWS Lambda Function Architecture

Creating Your First Lambda Function in Java

AWS Account: You need an AWS account to create and deploy Lambda functions.

AWS CLI: Install and configure the AWS Command Line Interface (CLI) if you haven’t already. You can download it from the AWS website.

Java Development Environment: Make sure you have Java and Apache Maven or Gradle installed on your computer.

How to create your first Lambda function?

Step 1: Set Up Your Development Environment

Ensure you have the AWS CLI installed and configured with your AWS credentials.

Step 2: Create a Java Lambda Function Project

Open your terminal and navigate to the directory where you want to create your Lambda project.

Run the following command to create a new Java Lambda function project:

Here’s what each part of the command does:

–function-name: Specify a name for your Lambda function.

–runtime: Use java11 as the runtime for Java 11. You can also use java8 for Java 8.

–handler: Provide the handler information in the format package.ClassName::methodName. This is the entry point to your Lambda function.

–role: Replace arn:aws:iam::123456789012:role/lambda-role with the ARN of an existing IAM role with the necessary Lambda permissions.

This command will create a new directory with your function code and a function.zip file.

Step 3: Write Your Lambda Function Code

Step 4: Build and Package Your Lambda Function

In your terminal, navigate to your project directory.

Build your Java project using Maven or Gradle. For Maven, run:

mvn clean install

After building, create a deployment package (ZIP file) containing your Java code and its dependencies. You can find the packaged JAR file in the target directory (Maven).

zip -j function.zip target/your-java-jar.jar

Step 5: Deploy Your Lambda Function

Deploy your Lambda function by running the following AWS CLI command:

aws lambda update-function-code –function-name MyJavaFunction –zip-file fileb://./function.zip

Your Lambda function is now deployed.

Step 6: Test Your Lambda Function

You can test your Lambda function using the AWS Lambda Management Console or the AWS CLI. For example, using the AWS CLI:

aws lambda invoke –function-name MyJavaFunction –payload ‘{}’ output.txt

cat output.txt

Summary

In the comprehensive guide to AWS Lambda Functions, we explore the core concepts and practical applications of this serverless compute service by Cloud computing service provider. AWS Lambda functions are event-driven, automatically scaling in response to incoming events, making them ideal for various workloads. With pay-as-you-go pricing, you only pay for the compute time your code consumes, making it cost-effective for dynamic applications.

We delve into key features, including support for multiple programming languages and custom runtimes, enabling developers to work in their preferred language. AWS Lambda emphasizes statelessness, requiring external storage for data persistence. The platform also provides robust security features, IAM roles, VPC integration, and encryption, ensuring data protection.

The guide highlights diverse use cases, such as real-time file processing, web application backends, IoT applications, scheduled tasks, and data processing. AWS Lambda integrates seamlessly with other AWS services, offering endless possibilities for building serverless architectures.

Key concepts like triggers, execution environments, function versions, and aliases are explained, giving readers a comprehensive understanding of Lambda’s architecture.

The guide also provides a step-by-step tutorial on creating a Java Lambda function, covering setting up the development environment, writing code, building, packaging, deploying, and testing the function.

By the end of this guide, readers will have a solid foundation in AWS Lambda Functions, empowering them to leverage the full potential of serverless computing in their projects.

Originally published by: AWS Lambda Functions: A Comprehensive Guide

#AWSLambdaFunctions #ServerlessComputing #CloudComputing #LambdaArchitecture #AWSTutorial #LambdaBasics #AWSInfrastructure

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sandeeppotdukhe2511 · 3 years

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Going Serverless: how to run your first AWS Lambda function in the cloud

A decade ago, cloud servers abstracted away physical servers. And now, “Serverless” is abstracting away cloud servers.

Technically, the servers are still there. You just don’t need to manage them anymore.

Another advantage of going serverless is that you no longer need to keep a server running all the time. The “server” suddenly appears when you need it, then disappears when you’re done with it. Now you can think in terms of functions instead of servers, and all your business logic can now live within these functions.

In the case of AWS Lambda Functions, this is called a trigger. Lambda Functions can be triggered in different ways: an HTTP request, a new document upload to S3, a scheduled Job, an AWS Kinesis data stream, or a notification from AWS Simple Notification Service (SNS).

In this tutorial, I’ll show you how to set up your own Lambda Function and, as a bonus, show you how to set up a REST API all in the AWS Cloud, while writing minimal code.

Note that the Pros and Cons of Serverless depend on your specific use case. So in this article, I’m not going to tell you whether Serverless is right for your particular application — I’m just going to show you how to use it.

First, you’ll need an AWS account. If you don’t have one yet, start by opening a free AWS account here. AWS has a free tier that’s more than enough for what you will need for this tutorial.

We’ll be writing the function isPalindrome, which checks whether a passed string is a palindrome or not.

Above is an example implementation in JavaScript. Here is the link for gist on Github.

A palindrome is a word, phrase, or sequence that reads the same backward as forward, for the sake of simplicity we will limit the function to words only.

As we can see in the snippet above, we take the string, split it, reverse it and then join it. if the string and its reverse are equal the string is a Palindrome otherwise the string is not a Palindrome.

Creating the isPalindrome Lambda Function

In this step we will be heading to the AWS Console to create the Lambda Function:

In the AWS Console go to Lambda.

And then press “Get Started Now.”

For runtime select Node.js 6.10 and then press “Blank Function.”

Skip this step and press “Next.”

For Name type in isPalindrome, for description type in a description of your new Lambda Function, or leave it blank.

As you can see in the gist above a Lambda function is just a function we are exporting as a module, in this case, named handler. The function takes three parameters: event, context and a callback function.

The callback will run when the Lambda function is done and will return a response or an error message.For the Blank Lambda blueprint response is hard-coded as the string ‘Hello from Lambda’. For this tutorial since there will be no error handling, you will just use Null. We will look closely at the event parameter in the next few slides.

Scroll down. For Role choose “Create new Role from template”, and for Role name use isPalindromeRole or any name, you like.

For Policy templates, choose “Simple Microservice” permissions.

For Memory, 128 megabytes is more than enough for our simple function.

As for the 3 second timeout, this means that — should the function not return within 3 seconds — AWS will shut it down and return an error. Three seconds is also more than enough.

Leave the rest of the advanced settings unchanged.

Press “Create function.”

Congratulations — you’ve created your first Lambda Function. To test it press “Test.”

As you can see, your Lambda Function returns the hard-coded response of “Hello from Lambda.”

Now add the code from isPalindrome.js to your Lambda Function, but instead of return result use callback(null, result). Then add a hard-coded string value of abcd on line 3 and press “Test.”

The Lambda Function should return “abcd is not a Palindrome.”

For the hard-coded string value of “racecar”, The Lambda Function returns “racecar is a Palindrome.”

So far, the Lambda Function we created is behaving as expected.

In the next steps, I’ll show you how to trigger it and pass it a string argument using an HTTP request.

If you’ve built REST APIs from scratch before using a tool like Express.js, the snippet above should make sense to you. You first create a server, and then define all your routes one-by-one.

In this section, I’ll show you how to do the same thing using the AWS API Gateway.

Creating the API Gateway

Go to your AWS Console and press “API Gateway.”

And then press “Get Started.”

In Create new API dashboard select “New API.”

For API name, use “palindromeAPI.” For description, type in a description of your new API or just leave it blank.

Our API will be a simple one, and will only have one GET method that will be used to communicate with the Lambda Function.

In the Actions menu, select “Create Method.” A small sub-menu will appear. Go ahead and select GET, and click on the checkmark to the right.

For Integration type, select Lambda Function.

Then press “OK.”

In the GET — Method Execution screen press “Integration Request.”

For Integration type, make sure Lambda Function is selected.

For request body passthrough, select “When there are no templates defined” and then for Content-Type enter “application/json”.

In the blank space add the JSON object shown below. This JSON object defines the parameter “string” that will allow us to pass through string values to the Lambda Function using an HTTP GET request. This is similar to using req.params in Express.js.

In the next steps, we’ll look at how to pass the string value to the Lambda Function, and how to access the passed value from within the function.

The API is now ready to be deployed. In the Actions menu click “Deploy API.”

For Deployment Stage select “[New Stage]”.

And for Stage name use “prod” (which is short for “production”).

The API is now deployed, and the invoke URL will be used to communicate via HTTP request with Lambda. If you recall, in addition to a callback, Lambda takes two parameters: event and context.

To send a string value to Lambda you take your function’s invoke URL and add to it ?string=someValue and then the passed value can be accessed from within the function using event.string.

Modify code by removing the hard-coded string value and replacing it with event.string as shown below.

Now in the browser take your function’s invoke URL and add ?string=abcd to test your function via the browser.

As you can see Lambda replies that abcd is not a Palindrome. Now do the same for racecar.

If you prefer you can use Postman as well to test your new isPalindrome Lambda Function. Postman is a great tool for testing your API endpoints, you can learn more about it here.

To verify it works, here’s a Palindrome:

And here’s a non-palindrome:

Congratulations — you have just set up and deployed your own Lambda Function!

Thanks for reading!

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jannadraws-blog · 5 years

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What is AWS? Amazon Cloud Services Tutorial

Cloud computing is a term referred to storing and accessing records over the internet. It does not keep any statistics at the difficult disk of your personal computer. In cloud computing, you can get admission to statistics from a far flung server.

What is AWS?

Amazon net service is a platform that offers bendy, dependable, scalable, easy-to-use and price-powerful cloud computing answers.

AWS is a complete, clean to apply computing platform offered Amazon. The platform is advanced with a combination of infrastructure as a service (IaaS), platform as a carrier (PaaS) and packaged software as a provider (SaaS) offerings.

In this tutorial, you may analyze,

History of AWS

2002- AWS offerings launched

2006- Launched its cloud products

2012- Holds first client occasion

2015- Reveals sales carried out of $4.6 billion

2016- Surpassed $10 billon sales target

2016- Release snowball and snowmobile

2019- Offers nearly 100 cloud services

Important AWS Services

Amazon Web Services offers a wide range of different commercial enterprise purpose global cloud-based totally merchandise. The products consist of storage, databases, analytics, networking, mobile, improvement equipment, company packages, with a pay-as-you-pass pricing version.

Here, are critical AWS services.

AWS Compute Services

Here, are Cloud Compute Services offered with the aid of Amazon:

EC2(Elastic Compute Cloud) - EC2 is a digital machine within the cloud on which you have OS level manage. You can run this cloud server on every occasion you need. LightSail -This cloud computing device robotically deploys and manages the pc, storage, and networking capabilities required to run your applications. Elastic Beanstalk — The device gives computerized deployment and provisioning of sources like a particularly scalable manufacturing website. EKS (Elastic Container Service for Kubernetes) — The device lets in you to Kubernetes on Amazon cloud environment without set up. AWS Lambda — This AWS service allows you to run functions within the cloud. The device is a big price saver for you as you to pay handiest whilst your functions execute.

Migration

Migration offerings used to transfer information bodily between your datacenter and AWS.

DMS (Database Migration Service) -DMS carrier may be used emigrate on-website databases to AWS. It lets you migrate from one sort of database to some other — for example, Oracle to MySQL. SMS (Server Migration Service) - SMS migration services lets in you to migrate on-web site servers to AWS without problems and quick. Snowball — Snowball is a small software which allows you to switch terabytes of records outside and inside of AWS environment.

Storage

Amazon Glacier- It is an extremely low-value garage provider. It gives secure and fast garage for records archiving and backup.

Amazon Elastic Block Store (EBS)- It affords block-stage garage to use with Amazon EC2 times. Amazon Elastic Block Store volumes are community-attached and continue to be unbiased from the lifestyles of an instance.

AWS Storage Gateway- This AWS service is connecting on-premises software program programs with cloud-based garage. It offers comfortable integration between the organisation’s on-premises and AWS’s garage infrastructure.

Security Services

IAM (Identity and Access Management) — IAM is a comfy cloud safety carrier which helps you to manage users, assign rules, form agencies to manage a couple of customers.

Inspector — It is an agent that you could deploy for your virtual machines, which reports any protection vulnerabilities. Certificate Manager — The provider gives unfastened SSL certificate for your domains which might be controlled by Route53. WAF (Web Application Firewall) — WAF security carrier gives application-degree protection and lets in you to dam SQL injection and helps you to block move-web site scripting assaults. Cloud Directory — This provider permits you to create bendy, cloud-native directories for dealing with hierarchies of records along more than one dimensions. KMS (Key Management Service) — It is a managed provider. This protection provider lets you create and control the encryption keys which lets in you to encrypt your records. Organizations — You can create companies of AWS bills the usage of this carrier to manages security and automation settings. Shield — Shield is controlled DDoS (Distributed Denial of Service safety service). It gives safeguards against internet programs strolling on AWS. Macie — It gives a information visibility safety carrier which allows classify and protect your sensitive important content. GuardDuty —It gives danger detection to defend your AWS debts and workloads.

Database Services

Amazon RDS- This Database AWS carrier is straightforward to set up, operate, and scale a relational database inside the cloud.

Amazon DynamoDB- It is a quick, absolutely managed NoSQL database provider. It is a easy carrier which allow price-powerful garage and retrieval of facts. It additionally allows you to serve any stage of request traffic.

Amazon ElastiCache- It is a web provider which makes it clean to deploy, perform, and scale an in-reminiscence cache in the cloud.

Neptune- It is a quick, dependable and scalable graph database service.

Amazon RedShift - It is Amazon’s data warehousing answer which you may use to carry out complex OLAP queries.

Analytics

Athena — This analytics provider allows perm SQL queries in your S3 bucket to discover documents.

CloudSearch — You must use this AWS provider to create a completely controlled seek engine in your internet site.

ElasticSearch — It is much like CloudSearch. However, it gives extra features like utility monitoring.

Kinesis — This AWS analytics service lets you movement and analyzing real-time facts at large scale.

QuickSight —It is a enterprise analytics device. It lets you create visualizations in a dashboard for records in Amazon Web Services. For instance, S3, DynamoDB, and so on.

EMR (Elastic Map Reduce) —This AWS analytics carrier in particular used for big facts processing like Spark, Splunk, Hadoop, and so forth.

Data Pipeline — Allows you to move facts from one area to every other. For example from DynamoDB to S3.

Management Services

CloudWatch — Cloud watch lets you reveal AWS environments like EC2, RDS instances, and CPU utilization. It also triggers alarms relies upon on diverse metrics.

CloudFormation — It is a way of turning infrastructure into the cloud. You can use templates for providing an entire production environment in mins.

CloudTrail — It offers an clean method of auditing AWS resources. It lets you log all changes.

OpsWorks — The service permits you to computerized Chef/Puppet deployments on AWS surroundings.

Config — This AWS carrier video display units your environment. The device sends alerts about modifications when you damage certain defined configurations.

Service Catalog — This service enables big establishments to authorize which offerings consumer can be used and which won’t.

AWS Auto Scaling — The provider permits you to automatically scale your sources up and down based on given CloudWatch metrics.

Systems Manager — This AWS service allows you to organization your resources. It lets in you to perceive troubles and act on them.

Managed Services—It gives management of your AWS infrastructure which lets in you to focus in your programs.

Internet of Things

IoT Core— It is a controlled cloud AWS service. The carrier lets in connected devices like vehicles, mild bulbs, sensor grids, to soundly interact with cloud programs and different devices.

IoT Device Management — It permits you to control your IoT devices at any scale.

IoT Analytics — This AWS IOT service is beneficial to carry out analysis on statistics collected by way of your IoT devices.

Amazon FreeRTOS — This actual-time operating machine for microcontrollers helps you to join IoT gadgets within the local server or into the cloud.

Application Services

Step Functions — It is a manner of visualizing what’s going internal your software and what distinct microservices it’s far the usage of.

SWF (Simple Workflow Service) — The carrier lets you coordinate both computerized tasks and human-led tasks.

SNS (Simple Notification Service) — You can use this service to ship you notifications within the shape of electronic mail and SMS primarily based on given AWS offerings.

SQS (Simple Queue Service) — Use this AWS carrier to decouple your packages. It is a pull-based totally carrier.

Elastic Transcoder — This AWS carrier tool helps you to modifications a video’s layout and backbone to guide various gadgets like pills, smartphones, and laptops of various resolutions.

Deployment and Management

AWS CloudTrail: The services facts AWS API calls and ship backlog files to you.

Amazon CloudWatch: The gear monitor AWS assets like Amazon EC2 and Amazon RDS DB Instances. It also lets in you to display custom metrics created through consumer’s packages and services.

AWS CloudHSM: This AWS carrier helps you meet company, regulatory, and contractual, compliance necessities for retaining information protection with the aid of the usage of the Hardware Security Module(HSM) home equipment within the AWS surroundings.

Developer Tools

CodeStar — Codestar is a cloud-based provider for growing, handling, and operating with numerous software improvement projects on AWS.

CodeCommit — It is AWS’s version manipulate service which permits you to keep your code and other property privately in the cloud.

CodeBuild — This Amazon developer carrier assist you to automates the system of constructing and compiling your code.

CodeDeploy — It is a way of deploying your code in EC2 times routinely.

CodePipeline — It helps you create a deployment pipeline like testing, building, checking out, authentication, deployment on development and production environments.

Cloud9 —It is an Integrated Development Environment for writing, running, and debugging code inside the cloud.

Mobile Services

Mobile Hub — Allows you to add, configure and layout features for cell apps.

Cognito — Allows users to signup the use of his or her social identity.

Device Farm — Device farm lets you improve the satisfactory of apps by way of quickly trying out masses of cell devices.

AWS AppSync —It is a fully controlled GraphQL provider that offers actual-time records synchronization and offline programming capabilities.

Business Productivity

Alexa for Business — It empowers your corporation with voice, the use of Alexa. It will assist you to Allows you to build custom voice skills in your business enterprise.

Chime — Can be used for online meeting and video conferencing.

WorkDocs — Helps to save files within the cloud

WorkMail — Allows you to send and receive enterprise emails.

Desktop & App Streaming

WorkSpaces — Workspace is a VDI (Virtual Desktop Infrastructure). It lets in you to use remote computers inside the cloud.

AppStream — A manner of streaming computer programs in your users in the internet browser. For instance, using MS Word in Google Chrome.

Artificial Intelligence

Lex — Lex tool lets you build chatbots quickly.

Polly — It is AWS’s textual content-to-speech provider permits you to create audio variations of your notes.

Rekognition — It is AWS’s face reputation provider. This AWS service lets you understand faces and object in photos and films.

SageMaker — Sagemaker allows you to construct, train, and set up device getting to know fashions at any scale.

Transcribe — It is AWS’s speech-to-text carrier that offers high-quality and cheap transcriptions.

Translate — It is a completely comparable tool to Google Translate which lets in you to translate textual content in one language to some other.

AR & VR (Augmented Reality & Virtual Reality)

Customer Engagement

Amazon Connect — Amazon Connect allows you to create your patron care middle in the cloud.

Pinpoint — Pinpoint helps you to recognize your customers and have interaction with them.

SES (Simple Email Service) — Helps you to send bulk emails in your customers at a particularly cost-powerful fee.

Game Development

GameLift- It is a service that’s managed by AWS. You can use this service to host dedicated game servers. It lets in you to scale seamlessly with out taking your game offline.

Applications of AWS offerings

Amazon Web offerings are extensively used for numerous computing functions like:

Web site hosting Application website hosting/SaaS web hosting Media Sharing (Image/ Video) Mobile and Social Applications Content transport and Media Distribution Storage, backup, and catastrophe restoration Development and check environments Academic Computing Search Engines Social Networking Companies the usage of AWS Instagram Zoopla Smugmug Pinterest Netflix Dropbox Etsy Talkbox Playfish Ftopia

Advantages of AWS

Following are the pros of the usage of AWS services:

AWS lets in agencies to apply the already familiar programming fashions, operating systems, databases, and architectures. It is a cost-effective carrier that permits you to pay handiest for what you operate, without any up-the front or lengthy-time period commitments. You will not require to invest in walking and keeping facts facilities. Offers speedy deployments You can without problems upload or remove capacity. You are allowed cloud get right of entry to fast with countless potential. Total Cost of Ownership is very low in comparison to any personal/dedicated servers. Offers Centralized Billing and management Offers Hybrid Capabilities Allows you to installation your application in multiple regions around the world with only some clicks

Disadvantages of AWS

If you need extra instant or intensive assistance, you will ought to choose paid assist programs.

Amazon Web Services may additionally have a few common cloud computing issues whilst you move to a cloud. For example, downtime, confined manipulate, and backup protection.

AWS sets default limits on resources which differ from vicinity to region. These assets encompass photos, volumes, and snapshots.

Hardware-level adjustments occur in your application which won’t offer the exceptional overall performance and usage of your programs.

Best practices of AWS

You want to layout for failure, however nothing will fail.It’s essential to decouple all your components before using AWS offerings.You need to preserve dynamic information in the direction of compute and static facts towards the person.It’s essential to realize security and performance tradeoffs.Pay for computing potential via the hourly charge technique.Make a addiction of a one-time payment for every instance you need to reserve and to receive a giant bargain on the hourly charge.

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What is AWS? Amazon Cloud Services Tutorial

What is AWS?

Amazon net service is a platform that offers bendy, dependable, scalable, easy-to-use and price-powerful cloud computing answers.

In this tutorial, you may analyze,

History of AWS

2002- AWS offerings launched

2006- Launched its cloud products

2012- Holds first client occasion

2015- Reveals sales carried out of $4.6 billion

2016- Surpassed $10 billon sales target

2016- Release snowball and snowmobile

2019- Offers nearly 100 cloud services

Important AWS Services

Here, are critical AWS services.

AWS Compute Services

Here, are Cloud Compute Services offered with the aid of Amazon:

Migration

Migration offerings used to transfer information bodily between your datacenter and AWS.

Storage

Amazon Glacier- It is an extremely low-value garage provider. It gives secure and fast garage for records archiving and backup.Amazon Elastic Block Store (EBS)- It affords block-stage garage to use with Amazon EC2 times. Amazon Elastic Block Store volumes are community-attached and continue to be unbiased from the lifestyles of an instance.AWS Storage Gateway- This AWS service is connecting on-premises software program programs with cloud-based garage. It offers comfortable integration between the organisation’s on-premises and AWS’s garage infrastructure.

Security Services

IAM (Identity and Access Management) — IAM is a comfy cloud safety carrier which helps you to manage users, assign rules, form agencies to manage a couple of customers.

Database Services

Amazon RDS- This Database AWS carrier is straightforward to set up, operate, and scale a relational database inside the cloud.Amazon DynamoDB- It is a quick, absolutely managed NoSQL database provider. It is a easy carrier which allow price-powerful garage and retrieval of facts. It additionally allows you to serve any stage of request traffic.Amazon ElastiCache- It is a web provider which makes it clean to deploy, perform, and scale an in-reminiscence cache in the cloud.Neptune- It is a quick, dependable and scalable graph database service.Amazon RedShift - It is Amazon’s data warehousing answer which you may use to carry out complex OLAP queries.

Analytics

Athena — This analytics provider allows perm SQL queries in your S3 bucket to discover documents.CloudSearch — You must use this AWS provider to create a completely controlled seek engine in your internet site.ElasticSearch — It is much like CloudSearch. However, it gives extra features like utility monitoring.Kinesis — This AWS analytics service lets you movement and analyzing real-time facts at large scale.QuickSight —It is a enterprise analytics device. It lets you create visualizations in a dashboard for records in Amazon Web Services. For instance, S3, DynamoDB, and so on.EMR (Elastic Map Reduce) —This AWS analytics carrier in particular used for big facts processing like Spark, Splunk, Hadoop, and so forth.Data Pipeline — Allows you to move facts from one area to every other. For example from DynamoDB to S3.

Management Services

CloudWatch — Cloud watch lets you reveal AWS environments like EC2, RDS instances, and CPU utilization. It also triggers alarms relies upon on diverse metrics.CloudFormation — It is a way of turning infrastructure into the cloud. You can use templates for providing an entire production environment in mins.CloudTrail — It offers an clean method of auditing AWS resources. It lets you log all changes.OpsWorks — The service permits you to computerized Chef/Puppet deployments on AWS surroundings.Config — This AWS carrier video display units your environment. The device sends alerts about modifications when you damage certain defined configurations.Service Catalog — This service enables big establishments to authorize which offerings consumer can be used and which won’t.AWS Auto Scaling — The provider permits you to automatically scale your sources up and down based on given CloudWatch metrics.Systems Manager — This AWS service allows you to organization your resources. It lets in you to perceive troubles and act on them.Managed Services—It gives management of your AWS infrastructure which lets in you to focus in your programs.

Internet of Things

IoT Core— It is a controlled cloud AWS service. The carrier lets in connected devices like vehicles, mild bulbs, sensor grids, to soundly interact with cloud programs and different devices.IoT Device Management — It permits you to control your IoT devices at any scale.IoT Analytics — This AWS IOT service is beneficial to carry out analysis on statistics collected by way of your IoT devices.Amazon FreeRTOS — This actual-time operating machine for microcontrollers helps you to join IoT gadgets within the local server or into the cloud.

Application Services

Step Functions — It is a manner of visualizing what’s going internal your software and what distinct microservices it’s far the usage of.SWF (Simple Workflow Service) — The carrier lets you coordinate both computerized tasks and human-led tasks.SNS (Simple Notification Service) — You can use this service to ship you notifications within the shape of electronic mail and SMS primarily based on given AWS offerings.SQS (Simple Queue Service) — Use this AWS carrier to decouple your packages. It is a pull-based totally carrier.Elastic Transcoder — This AWS carrier tool helps you to modifications a video’s layout and backbone to guide various gadgets like pills, smartphones, and laptops of various resolutions.

Deployment and Management

AWS CloudTrail: The services facts AWS API calls and ship backlog files to you.Amazon CloudWatch: The gear monitor AWS assets like Amazon EC2 and Amazon RDS DB Instances. It also lets in you to display custom metrics created through consumer’s packages and services.AWS CloudHSM: This AWS carrier helps you meet company, regulatory, and contractual, compliance necessities for retaining information protection with the aid of the usage of the Hardware Security Module(HSM) home equipment within the AWS surroundings.

Developer Tools

CodeStar — Codestar is a cloud-based provider for growing, handling, and operating with numerous software improvement projects on AWS.CodeCommit — It is AWS’s version manipulate service which permits you to keep your code and other property privately in the cloud.CodeBuild — This Amazon developer carrier assist you to automates the system of constructing and compiling your code.CodeDeploy — It is a way of deploying your code in EC2 times routinely.CodePipeline — It helps you create a deployment pipeline like testing, building, checking out, authentication, deployment on development and production environments.Cloud9 —It is an Integrated Development Environment for writing, running, and debugging code inside the cloud.

Mobile Services

Mobile Hub — Allows you to add, configure and layout features for cell apps.Cognito — Allows users to signup the use of his or her social identity.Device Farm — Device farm lets you improve the satisfactory of apps by way of quickly trying out masses of cell devices.AWS AppSync —It is a fully controlled GraphQL provider that offers actual-time records synchronization and offline programming capabilities.

Business Productivity

Alexa for Business — It empowers your corporation with voice, the use of Alexa. It will assist you to Allows you to build custom voice skills in your business enterprise.Chime — Can be used for online meeting and video conferencing.WorkDocs — Helps to save files within the cloudWorkMail — Allows you to send and receive enterprise emails.Desktop & App StreamingWorkSpaces — Workspace is a VDI (Virtual Desktop Infrastructure). It lets in you to use remote computers inside the cloud.AppStream — A manner of streaming computer programs in your users in the internet browser. For instance, using MS Word in Google Chrome.

Artificial Intelligence

Lex — Lex tool lets you build chatbots quickly.Polly — It is AWS’s textual content-to-speech provider permits you to create audio variations of your notes.Rekognition — It is AWS’s face reputation provider. This AWS service lets you understand faces and object in photos and films.SageMaker — Sagemaker allows you to construct, train, and set up device getting to know fashions at any scale.Transcribe — It is AWS’s speech-to-text carrier that offers high-quality and cheap transcriptions.Translate — It is a completely comparable tool to Google Translate which lets in you to translate textual content in one language to some other.

AR & VR (Augmented Reality & Virtual Reality)

Sumerian — Sumerian is a fixed of tool for providing high-quality virtual reality (VR) experiences on the internet. The provider allows you to create interactive 3D scenes and post it as a internet site for customers to get admission to.Customer EngagementAmazon Connect — Amazon Connect allows you to create your patron care middle in the cloud.Pinpoint — Pinpoint helps you to recognize your customers and have interaction with them.SES (Simple Email Service) — Helps you to send bulk emails in your customers at a particularly cost-powerful fee.

Game Development

GameLift- It is a service that’s managed by AWS. You can use this service to host dedicated game servers. It lets in you to scale seamlessly with out taking your game offline.

Applications of AWS offerings

Amazon Web offerings are extensively used for numerous computing functions like:

Advantages of AWS

Following are the pros of the usage of AWS services:

Disadvantages of AWS

If you need extra instant or intensive assistance, you will ought to choose paid assist programs.Amazon Web Services may additionally have a few common cloud computing issues whilst you move to a cloud. For example, downtime, confined manipulate, and backup protection.AWS sets default limits on resources which differ from vicinity to region. These assets encompass photos, volumes, and snapshots.Hardware-level adjustments occur in your application which won’t offer the exceptional overall performance and usage of your programs.

Best practices of AWS

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notjq-blog1 · 5 years

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What is AWS? Amazon Cloud Services Tutorial