#aws lambda api gateway

[codeonedigest]

AWS Lambda Compute Service Tutorial for Amazon Cloud Developers

Full Video Link - https://youtube.com/shorts/QmQOWR_aiNI Hi, a new #video #tutorial on #aws #lambda #awslambda is published on #codeonedigest #youtube channel. @java @awscloud @AWSCloudIndia @YouTube #youtube @codeonedigest #codeonedigest #aws #amaz

AWS Lambda is a serverless compute service that runs your code in response to events and automatically manages the underlying compute resources for you. These events may include changes in state such as a user placing an item in a shopping cart on an ecommerce website. AWS Lambda automatically runs code in response to multiple events, such as HTTP requests via Amazon API Gateway, modifications…

[pumoxi]

Implementing API Gateway with Lambda Authorizer Using Terraform

Implementing a secure and scalable API Gateway with Lambda authorizer. Leverage Terraform to manage your resources efficiently.

Background: API Gateway with Lambda AuthorizerBenefits of Using API Gateway with Lambda AuthorizerOverview of the Terraform ImplementationDetailed Explanation of the Terraform CodeProviderVariableLocalsData SourcesIAM Roles and PoliciesIAM Role for Core FunctionIAM Role for Lambda Authorizer FunctionLambda Core FunctionLambda Authorizer FunctionBenefits of Using Environment VariablesAPI Gateway…

[ericvanderburg]

Securing and Monitoring Your Data Pipeline: Best Practices for Kafka, AWS RDS, Lambda, and API Gateway Integration

http://securitytc.com/T3Rgt9

[harinikhb30]

Navigating AWS: A Comprehensive Guide for Beginners

In the ever-evolving landscape of cloud computing, Amazon Web Services (AWS) has emerged as a powerhouse, providing a wide array of services to businesses and individuals globally. Whether you're a seasoned IT professional or just starting your journey into the cloud, understanding the key aspects of AWS is crucial. With AWS Training in Hyderabad, professionals can gain the skills and knowledge needed to harness the capabilities of AWS for diverse applications and industries. This blog will serve as your comprehensive guide, covering the essential concepts and knowledge needed to navigate AWS effectively.

1. The Foundation: Cloud Computing Basics

Before delving into AWS specifics, it's essential to grasp the fundamentals of cloud computing. Cloud computing is a paradigm that offers on-demand access to a variety of computing resources, including servers, storage, databases, networking, analytics, and more. AWS, as a leading cloud service provider, allows users to leverage these resources seamlessly.

2. Setting Up Your AWS Account

The first step on your AWS journey is to create an AWS account. Navigate to the AWS website, provide the necessary information, and set up your payment method. This account will serve as your gateway to the vast array of AWS services.

3. Navigating the AWS Management Console

Once your account is set up, familiarize yourself with the AWS Management Console. This web-based interface is where you'll configure, manage, and monitor your AWS resources. It's the control center for your cloud environment.

4. AWS Global Infrastructure: Regions and Availability Zones

AWS operates globally, and its infrastructure is distributed across regions and availability zones. Understand the concept of regions (geographic locations) and availability zones (isolated data centers within a region). This distribution ensures redundancy and high availability.

5. Identity and Access Management (IAM)

Security is paramount in the cloud. AWS Identity and Access Management (IAM) enable you to manage user access securely. Learn how to control who can access your AWS resources and what actions they can perform.

6. Key AWS Services Overview

Explore fundamental AWS services:

Amazon EC2 (Elastic Compute Cloud): Virtual servers in the cloud.

Amazon S3 (Simple Storage Service): Scalable object storage.

Amazon RDS (Relational Database Service): Managed relational databases.

7. Compute Services in AWS

Understand the various compute services:

EC2 Instances: Virtual servers for computing capacity.

AWS Lambda: Serverless computing for executing code without managing servers.

Elastic Beanstalk: Platform as a Service (PaaS) for deploying and managing applications.

8. Storage Options in AWS

Explore storage services:

Amazon S3: Object storage for scalable and durable data.

EBS (Elastic Block Store): Block storage for EC2 instances.

Amazon Glacier: Low-cost storage for data archiving.

To master the intricacies of AWS and unlock its full potential, individuals can benefit from enrolling in the Top AWS Training Institute.

9. Database Services in AWS

Learn about managed database services:

Amazon RDS: Managed relational databases.

DynamoDB: NoSQL database for fast and predictable performance.

Amazon Redshift: Data warehousing for analytics.

10. Networking Concepts in AWS

Grasp networking concepts:

Virtual Private Cloud (VPC): Isolated cloud networks.

Route 53: Domain registration and DNS web service.

CloudFront: Content delivery network for faster and secure content delivery.

11. Security Best Practices in AWS

Implement security best practices:

Encryption: Ensure data security in transit and at rest.

IAM Policies: Control access to AWS resources.

Security Groups and Network ACLs: Manage traffic to and from instances.

12. Monitoring and Logging with AWS CloudWatch and CloudTrail

Set up monitoring and logging:

CloudWatch: Monitor AWS resources and applications.

CloudTrail: Log AWS API calls for audit and compliance.

13. Cost Management and Optimization

Understand AWS pricing models and manage costs effectively:

AWS Cost Explorer: Analyze and control spending.

14. Documentation and Continuous Learning

Refer to the extensive AWS documentation, tutorials, and online courses. Stay updated on new features and best practices through forums and communities.

15. Hands-On Practice

The best way to solidify your understanding is through hands-on practice. Create test environments, deploy sample applications, and experiment with different AWS services.

In conclusion, AWS is a dynamic and powerful ecosystem that continues to shape the future of cloud computing. By mastering the foundational concepts and key services outlined in this guide, you'll be well-equipped to navigate AWS confidently and leverage its capabilities for your projects and initiatives. As you embark on your AWS journey, remember that continuous learning and practical application are key to becoming proficient in this ever-evolving cloud environment.

[govindhtech]

Build A Smarter Security Chatbot With Amazon Bedrock Agents

Use an Amazon Security Lake and Amazon Bedrock chatbot for incident investigation. This post shows how to set up a security chatbot that uses an Amazon Bedrock agent to combine pre-existing playbooks into a serverless backend and GUI to investigate or respond to security incidents. The chatbot presents uniquely created Amazon Bedrock agents to solve security vulnerabilities with natural language input. The solution uses a single graphical user interface (GUI) to directly communicate with the Amazon Bedrock agent to build and run SQL queries or advise internal incident response playbooks for security problems.

User queries are sent via React UI.

Note: This approach does not integrate authentication into React UI. Include authentication capabilities that meet your company's security standards. AWS Amplify UI and Amazon Cognito can add authentication.

Amazon API Gateway REST APIs employ Invoke Agent AWS Lambda to handle user queries.

User queries trigger Lambda function calls to Amazon Bedrock agent.

Amazon Bedrock (using Claude 3 Sonnet from Anthropic) selects between querying Security Lake using Amazon Athena or gathering playbook data after processing the inquiry.

Ask about the playbook knowledge base:

The Amazon Bedrock agent queries the playbooks knowledge base and delivers relevant results.

For Security Lake data enquiries:

The Amazon Bedrock agent takes Security Lake table schemas from the schema knowledge base to produce SQL queries.

When the Amazon Bedrock agent calls the SQL query action from the action group, the SQL query is sent.

Action groups call the Execute SQL on Athena Lambda function to conduct queries on Athena and transmit results to the Amazon Bedrock agent.

After extracting action group or knowledge base findings:

The Amazon Bedrock agent uses the collected data to create and return the final answer to the Invoke Agent Lambda function.

The Lambda function uses an API Gateway WebSocket API to return the response to the client.

API Gateway responds to React UI via WebSocket.

The chat interface displays the agent's reaction.

Requirements

Prior to executing the example solution, complete the following requirements:

Select an administrator account to manage Security Lake configuration for each member account in AWS Organisations. Configure Security Lake with necessary logs: Amazon Route53, Security Hub, CloudTrail, and VPC Flow Logs.

Connect subscriber AWS account to source Security Lake AWS account for subscriber queries.

Approve the subscriber's AWS account resource sharing request in AWS RAM.

Create a database link in AWS Lake Formation in the subscriber AWS account and grant access to the Security Lake Athena tables.

Provide access to Anthropic's Claude v3 model for Amazon Bedrock in the AWS subscriber account where you'll build the solution. Using a model before activating it in your AWS account will result in an error.

When requirements are satisfied, the sample solution design provides these resources:

Amazon S3 powers Amazon CloudFront.

Chatbot UI static website hosted on Amazon S3.

Lambda functions can be invoked using API gateways.

An Amazon Bedrock agent is invoked via a Lambda function.

A knowledge base-equipped Amazon Bedrock agent.

Amazon Bedrock agents' Athena SQL query action group.

Amazon Bedrock has example Athena table schemas for Security Lake. Sample table schemas improve SQL query generation for table fields in Security Lake, even if the Amazon Bedrock agent retrieves data from the Athena database.

A knowledge base on Amazon Bedrock to examine pre-existing incident response playbooks. The Amazon Bedrock agent might propose investigation or reaction based on playbooks allowed by your company.

Cost

Before installing the sample solution and reading this tutorial, understand the AWS service costs. The cost of Amazon Bedrock and Athena to query Security Lake depends on the amount of data.

Security Lake cost depends on AWS log and event data consumption. Security Lake charges separately for other AWS services. Amazon S3, AWS Glue, EventBridge, Lambda, SQS, and SNS include price details.

Amazon Bedrock on-demand pricing depends on input and output tokens and the large language model (LLM). A model learns to understand user input and instructions using tokens, which are a few characters. Amazon Bedrock pricing has additional details.

The SQL queries Amazon Bedrock creates are launched by Athena. Athena's cost depends on how much Security Lake data is scanned for that query. See Athena pricing for details.

Clear up

Clean up if you launched the security chatbot example solution using the Launch Stack button in the console with the CloudFormation template security_genai_chatbot_cfn:

Choose the Security GenAI Chatbot stack in CloudFormation for the account and region where the solution was installed.

Choose “Delete the stack”.

If you deployed the solution using AWS CDK, run cdk destruct –all.

Conclusion

The sample solution illustrates how task-oriented Amazon Bedrock agents and natural language input may increase security and speed up inquiry and analysis. A prototype solution using an Amazon Bedrock agent-driven user interface. This approach may be expanded to incorporate additional task-oriented agents with models, knowledge bases, and instructions. Increased use of AI-powered agents can help your AWS security team perform better across several domains.

The chatbot's backend views data normalised into the Open Cybersecurity Schema Framework (OCSF) by Security Lake.

[cleverhottubmiracle]

[ad_1] Welcome devs to the world of development and automation. Today, we are diving into an exciting project in which we will be creating a Serverless Image Processing Pipeline with AWS services. The project starts with creating S3 buckets for storing uploaded images and processed Thumbnails, and eventually using many services like Lambda, API Gateway (To trigger the Lambda Function), DynamoDB (storing image Metadata), and at last we will run this program in ECS cluster by creating a Docker image of the project. This project is packed with cloud services and development tech stacks like Next.js, and practicing this will further enhance your understanding of Cloud services and how they interact with each other. So with further ado, let’s get started! Note: The code and instructions in this post are for demo use and learning only. A production environment will require a tighter grip on configurations and security. Prerequisites Before we get into the project, we need to ensure that we have the following requirements met in our system: An AWS Account: Since we use AWS services for the project, we need an AWS account. A configured IAM User with required services access would be appreciated. Basic Understanding of AWS Services: Since we are dealing with many AWS services, it is better to have a decent understanding of them, such as S3, which is used for storage, API gateway to trigger Lambda function, and many more. Node Installed: Our frontend is built with Next.js, so having Node in your system is necessary. For Code reference, here is the GitHub repo. AWS Services Setup We will start the project by setting up our AWS services. First and foremost, we will create 2 S3 buckets, namely sample-image-uploads-bucket and sample-thumbnails-bucket. The reason for this long name is that the bucket name has to be unique all over the AWS Workspace. So to create the bucket, head over to the S3 dashboard and click ‘Create Bucket’, select ‘General Purpose’, and give it a name (sample-image-uploads-bucket) and leave the rest of the configuration as default. Similarly, create the other bucket named sample-thumbnails-bucket, but in this bucket, make sure you uncheck Block Public Access because we will need it for our ECS Cluster. We need to ensure that the sample-thumbnails-bucket has public read access, so that ECS Frontend can display them. For that, we will attach the following policy to that bucket: "Version": "2012-10-17", "Statement": [ "Sid": "PublicRead", "Effect": "Allow", "Principal": "*", "Action": "s3:GetObject", "Resource": "arn:aws:s3:::sample-thumbnails-bucket/*" ] After creating buckets, let’s move to our Database for storing image metadata. We will create a DynamoDb table for that. Go to your DynamoDb console, click on Create Table, give it a name (image_metadata), and in the primary key select string, name it image_id. AWS services will communicate with each other, so they need a role with proper permissions. To create a role, go to the IAM dashboard, select Role, and click on Create Role. Under trust identity type, select AWS service, and under use case, choose Lambda. Attach the following policies: AmazonS3FullAccess AmazonDynamoDBFullAccess CloudWatchLogsFullAccess Give this role a name (Lambda-Image-Processor-Role) and save it. Creating Lambda Function We have our Lambda role, buckets, and DynamoDb table ready, so now let’s create the Lambda function which will process the image and make the thumbnail out of it, since we are using the Pillow library to process the images, Lambda by default doesn’t provide that. To fix this, we will add a layer in the Lambda function. To do that, follow the following steps: Now go to your Lambda dashboard, click on Create a Function. Select Author from Scratch and choose Python 3.9 as the runtime language, give it a name: image-processor, and in the Code tab, you have the Upload from Option, select that, choose zip file, and upload your Zip file of the image-processor. Go to Configuration, and under the Permissions column, Edit the configuration by changing the existing role to the role we created Lambda-Image-Processor-Role.   Now go to your S3 bucket (sample-image-uploads-bucket) and go to its Properties section and scroll down to Event Notification, here click on Create Event Notification, give it a name (trigger-image-processor) and in the event type, select PUT and select the lambda function we created (image-processor).  Now, since Pillow doesn’t come built-in with the lambda library, we will do the following steps to fix that: Go to your Lambda function (image-processor) and scroll down to the Layer section, here click on Add Layer. In the Add Layer section, select Specify an ARN and provide this ARN arn:aws:lambda:us-east-1:770693421928:layer:Klayers-p39-pillow:1 . Change the region accordingly; I am using us-east-1. Add the layer.  Now in the Code tab of your Lambda-Function you would be having a lambda-function.py, put the following content inside the lambda_function.py: import boto3 import uuid import os from PIL import Image from io import BytesIO import datetime s3 = boto3.client('s3') dynamodb = boto3.client('dynamodb') UPLOAD_BUCKET = '' THUMBNAIL_BUCKET = '' DDB_TABLE = 'image_metadata' def lambda_handler(event, context): record = event['Records'][0] bucket = record['s3']['bucket']['name'] key = record['s3']['object']['key'] response = s3.get_object(Bucket=bucket, Key=key) image = Image.open(BytesIO(response['Body'].read())) image.thumbnail((200, 200)) thumbnail_buffer = BytesIO() image.save(thumbnail_buffer, 'JPEG') thumbnail_buffer.seek(0) thumbnail_key = f"thumb_key" s3.put_object( Bucket=THUMBNAIL_BUCKET, Key=thumbnail_key, Body=thumbnail_buffer, ContentType='image/jpeg' ) image_id = str(uuid.uuid4()) original_url = f"https://UPLOAD_BUCKET.s3.amazonaws.com/key" thumbnail_url = f"https://THUMBNAIL_BUCKET.s3.amazonaws.com/thumbnail_key" uploaded_at = datetime.datetime.now().isoformat() dynamodb.put_item( TableName=DDB_TABLE, Item= 'image_id': 'S': image_id, 'original_url': 'S': original_url, 'thumbnail_url': 'S': thumbnail_url, 'uploaded_at': 'S': uploaded_at ) return 'statusCode': 200, 'body': f"Thumbnail created: thumbnail_url" Now, we will need another Lambda function for API Gateway because that will act as the entry point for our frontend ECS app to fetch image data from DynamoDB. To create the lambda function, go to your Lambda Dashboard, click on create function, select Author from scratch and python 3.9 as runtime, give it a name, get-image-metadata, and in the configuration, select the same role that we assigned to other Lambda functions (Lambda-Image-Processor-Role) Now, in the Code section of the function, put the following content: import boto3 import json dynamodb = boto3.client('dynamodb') TABLE_NAME = 'image_metadata' def lambda_handler(event, context): try: response = dynamodb.scan(TableName=TABLE_NAME) images = [] for item in response['Items']: images.append( 'image_id': item['image_id']['S'], 'original_url': item['original_url']['S'], 'thumbnail_url': item['thumbnail_url']['S'], 'uploaded_at': item['uploaded_at']['S'] ) return 'statusCode': 200, 'headers': "Content-Type": "application/json" , 'body': json.dumps(images) except Exception as e: return 'statusCode': 500, 'body': f"Error: str(e)" Creating the API Gateway The API Gateway will act as the entry point for your ECS Frontend application to fetch image data from DynamoDB. It will connect to the Lambda function that queries DynamoDB and returns the image metadata. The URL of the Gateway is used in our Frontend app to display images. To create the API Gateway, do the following steps: Go to the AWS Management Console → Search for API Gateway → Click Create API. Select HTTP API. Click on Build. API name: image-gallery-api Add integrations: Select Lambda and select the get_image_metadata function Select Method: Get and Path: /images Endpoint type: Regional Click on Next and create the API Gateway URL. Before creating the Frontend, let’s test the application manually. First go to your Upload S3 Bucket (sample-image-uploads-bucket) and upload a jpg/jpeg image; other image will not work as your function only processes these two types:In the Picture above, I have uploaded an image titled “ghibil-art.jpg” file, and once uploaded, it will trigger the Lambda function, that will create the thumbnail out of it named as “thumbnail-ghibil-art.jpg” and store it in sample-thumbnails-bucket and the information about the image will be stored in image-metadata table in DynamoDb. In the image above, you can see the Item inside the Explore Item section of our DynamoDb table “image-metadata.” To test the API-Gateway, we will check the Invoke URL of our image-gallery-API followed by /images. It will show the following output, with the curl command: Now our application is working fine, we can deploy a frontend to visualise the project. Creating the Frontend App For the sake of Simplicity, we will be creating a minimal, simple gallery frontend using Next.js, Dockerize it, and deploy it on ECS. To create the app, do the following steps: Initialization npx create-next-app@latest image-gallery cd image-gallery npm install npm install axios Create the Gallery Component Create a new file components/Gallery.js: 'use client'; import useState, useEffect from 'react'; import axios from 'axios'; import styles from './Gallery.module.css'; const Gallery = () => const [images, setImages] = useState([]); const [loading, setLoading] = useState(true); useEffect(() => const fetchImages = async () => try const response = await axios.get('https:///images'); setImages(response.data); setLoading(false); catch (error) console.error('Error fetching images:', error); setLoading(false); ; fetchImages(); , []); if (loading) return Loading...; return ( images.map((image) => ( new Date(image.uploaded_at).toLocaleDateString() )) ); ; export default Gallery; Make Sure to Change the Gateway-URL to your API_GATEWAY_URL Add CSS Module Create components/Gallery.module.css: .gallery display: grid; grid-template-columns: repeat(auto-fill, minmax(200px, 1fr)); gap: 20px; padding: 20px; max-width: 1200px; margin: 0 auto; .imageCard background: #fff; border-radius: 8px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); overflow: hidden; transition: transform 0.2s; .imageCard:hover transform: scale(1.05); .thumbnail width: 100%; height: 150px; object-fit: cover; .date text-align: center; padding: 10px; margin: 0; font-size: 0.9em; color: #666; .loading text-align: center; padding: 50px; font-size: 1.2em; Update the Home Page Modify app/page.js: import Gallery from '../components/Gallery'; export default function Home() return ( Image Gallery ); Next.js’s built-in Image component To use Next.js’s built-in Image component for better optimization, update next.config.mjs: const nextConfig = images: domains: ['sample-thumbnails-bucket.s3.amazonaws.com'], , ; export default nextConfig; Run the Application Visit in your browser, and you will see the application running with all the thumbnails uploaded. For demonstration purposes, I have put four images (jpeg/jpg) in my sample-images-upload-bucket. Through the function, they are transformed into thumbnails and stored in the sample-thumbnail-bucket. The application looks like this: Containerising and Creating the ECS Cluster Now we are almost done with the project, so we will continue by creating a Dockerfile of the project as follows: # Use the official Node.js image as a base FROM node:18-alpine AS builder # Set working directory WORKDIR /app # Copy package files and install dependencies COPY package.json package-lock.json ./ RUN npm install # Copy the rest of the application code COPY . . # Build the Next.js app RUN npm run build # Use a lightweight Node.js image for production FROM node:18-alpine # Set working directory WORKDIR /app # Copy built files from the builder stage COPY --from=builder /app ./ # Expose port EXPOSE 3000 # Run the application CMD ["npm", "start"] Now we will build the Docker image using: docker build -t sample-nextjs-app . Now that we have our Docker image, we will push it to AWS ECR repo, for that, do the following steps: Step 1: Push the Docker Image to Amazon ECR Go to the AWS Management Console → Search for ECR (Elastic Container Registry) → Open ECR. Create a new repository: Click Create repository. Set Repository name (e.g., sample-nextjs-app). Choose Private (or Public if required). Click Create repository. Push your Docker image to ECR: In the newly created repository, click View push commands. Follow the commands to: Authenticate Docker with ECR. Build, tag, and push your image. You need to have AWS CLI configured for this step. Step 2: Create an ECS Cluster aws ecs create-cluster --cluster-name sample-ecs-cluster Step 3: Create a Task Definition In the ECS Console, go to Task Definitions. Click Create new Task Definition. Choose Fargate → Click Next step. Set task definition details: Name: sample-nextjs-task Task role: ecsTaskExecutionRole (Create one if missing). "Version": "2012-10-17", "Statement": [ "Sid": "Statement1", "Effect": "Allow", "Action": [ "ecr:GetDownloadUrlForLayer", "ecr:BatchGetImage", "ecr:GetAuthorizationToken", "ecr:BatchCheckLayerAvailability" ], "Resource": "arn:aws:ecr:us-east-1:624448302051:repository/sample-nextjs-app" ] Task memory & CPU: Choose appropriate values (e.g., 512MB & 256 CPU). Define the container: Click Add container. Container name: sample-nextjs-container. Image URL: Paste the ECR image URI from Step 1. Port mappings: Set 3000 for both container and host ports. Click Add. Click Create. Step 4: Create an ECS Service Go to “ECS” → Click Clusters → Select your cluster (sample-ecs-cluster). Click Create Service. Choose Fargate → Click Next step. Set up the service: Task definition: Select sample-nextjs-task. Cluster: sample-ecs-cluster. Service name: sample-nextjs-service. Number of tasks: 1 (Can scale later). Networking settings: Select an existing VPC. Choose Public subnets. Enable Auto-assign Public IP. Click Next step → Create service. Step 5: Access the Application Go to ECS > Clusters > sample-ecs-cluster. Click on the Tasks tab. Click on the running task. Find the Public IP under Network. Open a browser and go to:http://:3000 Your Next.js app should be live! 🚀 Conclusion This marks the end of the blog. Today, we divided into many AWS services: s3, IAM, ECR, Lambda function, ECS, Fargate, and API Gateway. We started the project by creating s3 buckets and eventually deployed our application in an ECS cluster. Throughout this guide, we covered containerizing the Next.js app, pushing it to ECR, configuring ECS task definitions, and deploying via the AWS console. This setup allows for automated scaling, easy updates, and secure API access—all key benefits of a cloud-native deployment.  Potential production configurations may include changes like below: Implementing more restrictive IAM permissions, improving control over public access to S3 buckets (using CloudFront, pre-signed URLs, or a backend proxy instead of making the sample-thumbnails-bucket public) Adding error handling and pagination (especially for DynamoDB queries) Utilizing secure VPC/network configurations for ECS (like using an Application Load Balancer and private subnets instead of direct public IPs) Addressing scaling concerns by replacing the DynamoDB.scan operation within the metadata-fetching Lambda with the DynamoDB.query Using environment variables instead of a hardcoded API gateway URL in the Next.js code [ad_2] Source link

[pallavinovel]

Developing Your Future with AWS Solution Architect Associate

Why Should You Get AWS Solution Architect Associate?

If you're stepping into the world of cloud computing or looking to level up your career in IT, the Aws certified solutions architect associate course is one of the smartest moves you can make. Here's why:

1. AWS Is the Cloud Market Leader

Amazon Web Services (AWS) dominates the cloud industry, holding a significant share of the global market. With more businesses shifting to the cloud, AWS skills are in high demand—and that trend isn’t slowing down.

2. Proves Your Cloud Expertise

This certification demonstrates that you can design scalable, reliable, and cost-effective cloud solutions on AWS. It's a solid proof of your ability to work with AWS services, including storage, networking, compute, and security.

3. Boosts Your Career Opportunities

Recruiters actively seek AWS-certified professionals. Whether you're an aspiring cloud engineer, solutions architect, or developer, this credential helps you stand out in a competitive job market.

4. Enhances Your Earning Potential

According to various salary surveys, AWS-certified professionals—especially Solution Architects—tend to earn significantly higher salaries compared to their non-certified peers.

5. Builds a Strong Foundation

The Associate-level certification lays a solid foundation for more advanced AWS certifications like the AWS Solutions Architect – Professional, or specialty certifications in security, networking, and more.

Understanding the AWS Shared Responsibility Model

The AWS Solutions Architect Associate Shared Responsibility Model defines the division of security and compliance duties between AWS and the customer. AWS is responsible for “security of the cloud,” while customers are responsible for “security in the cloud.”

AWS handles the underlying infrastructure, including hardware, software, networking, and physical security of its data centers. This includes services like compute, storage, and database management at the infrastructure level.

On the other hand, customers are responsible for configuring their cloud resources securely. This includes managing data encryption, access controls (IAM), firewall settings, OS-level patches, and securing applications and workloads.

For example, while AWS secures the physical servers hosting an EC2 instance, the customer must secure the OS, apps, and data on that instance.

This model enables flexibility and scalability while ensuring that both parties play a role in protecting cloud environments. Understanding these boundaries is essential for compliance, governance, and secure cloud architecture.

Best Practices for AWS Solutions Architects

The role of an AWS Solutions Architect goes far beyond just designing cloud environments—it's about creating secure, scalable, cost-optimized, and high-performing architectures that align with business goals. To succeed in this role, following industry best practices is essential. Here are some of the top ones:

1. Design for Failure

Always assume that components can fail—and design resilient systems that recover gracefully.

Use Auto Scaling Groups, Elastic Load Balancers, and Multi-AZ deployments.

Implement circuit breakers, retries, and fallbacks to keep applications running.

2. Embrace the Well-Architected Framework

Leverage AWS’s Well-Architected Framework, which is built around five pillars:

Operational Excellence

Security

Reliability

Performance Efficiency

Cost Optimization

Reviewing your architecture against these pillars helps ensure long-term success.

3. Prioritize Security

Security should be built in—not bolted on.

Use IAM roles and policies with the principle of least privilege.

Encrypt data at rest and in transit using KMS and TLS.

Implement VPC security, including network ACLs, security groups, and private subnets.

4. Go Serverless When It Makes Sense

Serverless architecture using AWS Lambda, API Gateway, and DynamoDB can improve scalability and reduce operational overhead.

Ideal for event-driven workloads or microservices.

Reduces the need to manage infrastructure.

5. Optimize for Cost

Cost is a key consideration. Avoid over-provisioning.

Use AWS Cost Explorer and Trusted Advisor to monitor spend.

Choose spot instances or reserved instances when appropriate.

Right-size EC2 instances and consider using Savings Plans.

6. Monitor Everything

Build strong observability into your architecture.

Use Amazon CloudWatch, X-Ray, and CloudTrail for metrics, tracing, and auditing.

Set up alerts and dashboards to catch issues early.

Recovery Planning with AWS

Recovery planning in AWS ensures your applications and data can quickly bounce back after failures or disasters. AWS offers built-in tools like Amazon S3 for backups, AWS Backup, Amazon RDS snapshots, and Cross-Region Replication to support data durability. For more robust strategies, services like Elastic Disaster Recovery (AWS DRS) and CloudEndure enable near-zero downtime recovery. Use Auto Scaling, Multi-AZ, and multi-region deployments to enhance resilience. Regularly test recovery procedures using runbooks and chaos engineering. A solid recovery plan on AWS minimizes downtime, protects business continuity, and keeps operations running even during unexpected events.

Learn more: AWS Solution Architect Associates

[yougrowonline]

Serverless Image Processing Pipeline with AWS ECS and Lambda — SitePoint

Welcome devs to the world of development and automation. Today, we are diving into an exciting project in which we will be creating a Serverless Image Processing Pipeline with AWS services. The project starts with creating S3 buckets for storing uploaded images and processed Thumbnails, and eventually using many services like Lambda, API Gateway (To trigger the Lambda Function), DynamoDB (storing…

[codeonedigest]

AWS API Gateway Tutorial for Cloud API Developer | AWS API Gateway Explained with Examples  

Full Video Link https://youtube.com/shorts/A-DsF8mbF7U Hi, a new #video on #aws #apigateway #cloud is published on #codeonedigest #youtube channel. @java #java #awscloud @awscloud #aws @AWSCloudIndia #Cloud #CloudComputing @YouTube #you

Amazon AWS API Gateway is an AWS service for creating, publishing, maintaining, monitoring, and securing REST, HTTP, and WebSocket APIs. API developers can create APIs that access AWS or other web services, as well as data stored in the AWS Cloud. As an API Gateway API developer, you can create APIs for use in your own client applications.  You can also make your APIs available to third-party…

[techyuki]

The Future of AWS Certified Developers: The Key Trends and Forecasts

Cloud computing has increased dramatically in recent years and Amazon Web Services (AWS) continues to lead the field. With companies rapidly moving to cloud computing, AWS certifications have become an ideal option for developers who want to grow their careers and higher pay. But as technology develops and so do expectations for AWS certified developers.

This article will look at what's in store for AWS Certified Developers, key trends affecting the industry in addition to what development professionals can anticipate to see in the next few years.

1. What is the reason AWS Certified Developers are in Demand?

AWS powers many of the biggest companies as well as startups and governments across the world. Companies rely on AWS-certified experts to design, build cloud-based solutions effectively. This is why AWS-certified developers are more valuable than ever before:

The growth of cloud Adoption Businesses are shifting to cloud, creating a greater need to hire AWS experts.

Security & Compliance - Companies require experts to protect their cloud infrastructures.

Serverless and Microservices Modern application development relies on AWS services such as Lambda as well as ECS.

Cost Optimization Cost Optimization AWS developers aid businesses to optimize cloud expenditure and improve efficiency.

With these considerations with in our minds, lets look at the most important trends that will define the next generation of AWS Certified Developers.

2. Important Trends that Shape the Future of AWS Developers

2.1. The growth of AI & Machine Learning in AWS

AWS has made significant investments on Artificial Intelligence (AI) and Machine Learning (ML) with services such as Amazon SageMaker, Rekognition, and Lex. AWS-certified developers need to improve their knowledge in AI/ML to create more intelligent applications.

The prediction is that AI as well as ML integration will become a key capability for AWS developers in 2025.

2.2. More widespread adoption of Serverless Computing

Serverless architecture reduces the need to manage infrastructure, making development of applications quicker as well as more effective. AWS services such as AWS Lambda API Gateway, and DynamoDB are accelerating the adoption of serverless computing.

The prediction is that serverless computing will be the dominant cloud technology for development, which makes AWS Lambda expertise a must-have expertise for developers.

2.3. Multi-Cloud & Hybrid Cloud Strategies

While AWS is the top cloud provider, a lot of companies are taking a multi-cloud strategy that integrates AWS along with Microsoft Azure and Google Cloud. AWS-certified developers need to understand hybrid cloud environments as well as tools like AWS Outposts, and Anthos.

Prediction: Developers who have multi-cloud expertise will enjoy an edge in jobs.

2.4. There is a demand Cloud Security & Compliance Experts

As cyber-attacks are growing, businesses are placing a high priority on Cloud security as well as compliance. AWS services such as AWS Shield Macie as well as Security Hub are essential for protecting cloud environments.

Prognosis: AWS security certificates (AWS Certification for Security-Specialty) will be highly useful as security threats to cloud computing increase.

2.5. Edge Computing & IoT Growth

The growth of Edge Computing and the Internet of Things (IoT) is changing industries such as automotive, healthcare manufacturing, and healthcare. AWS services such as AWS IoT Core, and AWS Greengrass are driving this change.

The prediction is that AWS experts equipped with IoT or Edge Computing expertise will be in high demand by 2026.

3. Skills and Certificates for Future AWS Developers

To stay competitive to stay ahead in this competitive AWS community, AWS developers need to constantly improve their skills. Here are the most sought-after qualifications and certifications that are essential:

In response to these trends, many developers are turning to comprehensive training like an AWS Developer Course to sharpen their skills and stay relevant.

Essential AWS Skills:

AI & Machine Learning - Use AWS SageMaker and Rekognition.

Serverless Architecture - Master AWS Lambda and API Gateway.

Cloud Security and Compliance Learn about IAM, Security Hub, and AWS Shield.

Multi-Cloud and Hybrid Cloud - Gain experience with Azure, Google Cloud, and AWS hybrid solutions.

The DevOps & Automation - Use AWS CodePipeline, CloudFormation, and Terraform.

AWS Certifications to Take into Account:

AWS Certified Developer Associate (For software developers who work using AWS)

AWS Certified Solutions Architect - Associate (For cloud solution design)

AWS certified DevOps Engineer Professional (For Automation and CI/CD)

AWS Certified Security Specific (For cloud security experts)

4. Career and Job Market Opportunities for AWS Developers

AWS developers are highly compensated professionals, earning between $100,000 and $150,000 per year based on experience and the location. Some of the most sought-after jobs for AWS-certified developers include:

Cloud Developer - Creates cloud-based applications by using AWS services.

Engineering DevOps Engineer. Manages pipelines for CI/CD along with cloud automation.

Cloud Security Engineer Specializes in AWS safety and security as well as compliance.

IoT Developer - works with AWS IoT and Edge Computing solutions.

Big Data Engineer Handles AWS analysis of data as well as Machine Learning solutions.

As cloud adoption continues to grow AWS-certified professionals will enjoy endless career options across a variety of sectors.

5. How can you keep up with the times As an AWS Developer?

To be successful in the constantly-changing AWS environment, developers must:

Stay Up-to-date - Keep up to date - AWS blogs, take part in webinars and discover the latest AWS features.

Experience with Build Projects is essential. Implement the real world AWS applications.

Join AWS Communities Join AWS Communities - Participate in forums such as AWS Post and also attend AWS events.

Earn Certifications - Continue to upgrade your capabilities by earning AWS certifications.

Explore AI and Serverless Technology - Stay up to date with the latest trends in AI/ML and serverless.

The most important factor to be successful being an AWS Certified Developer is continuous learning and adapting to the latest cloud technology.

Final Thoughts

The future for AWS Certified Developers is bright and full of potential. With new developments such as AI servers, serverless computing cloud-based multi-cloud, and cloud security influencing the market, AWS professionals must stay current and keep learning.

If you're a potential AWS developer Now is the perfect opportunity to get AWS certified and look into different career options. 

[pumoxi]

Serverless Deployment using AWS Lambda and API Gateway

Serverless architecture offers a compelling solution with its pay-per-use model and automatic scaling. This blog post will explore building a scalable serverless architecture using AWS Lambda and API Gateway.

IntroductionUnderstanding Serverless ArchitectureCore Components: AWS Lambda and API GatewayBuilding a Scalable Serverless ArchitectureExample Architecture: Processing API Requests and Saving DataBenefits of Serverless ArchitectureConclusionRelated Posts Introduction In today’s fast-paced digital world, applications must handle fluctuating workloads without compromising performance or cost.…

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Serverless Computing Market Growth Analysis and Forecast Report 2032

The Serverless Computing Market was valued at USD 19.30 billion in 2023 and is expected to reach USD 70.52 billion by 2032, growing at a CAGR of 15.54% from 2024-2032.

The serverless computing market has gained significant traction over the last decade as organizations increasingly seek to build scalable, agile, and cost-effective applications. By allowing developers to focus on writing code without managing server infrastructure, serverless architecture is reshaping how software and cloud applications are developed and deployed. Cloud service providers such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) are at the forefront of this transformation, offering serverless solutions that automatically allocate computing resources on demand. The flexibility, scalability, and pay-as-you-go pricing models of serverless platforms are particularly appealing to startups and enterprises aiming for digital transformation and faster time-to-market.

Serverless Computing Market adoption is expected to continue rising, driven by the surge in microservices architecture, containerization, and event-driven application development. The market is being shaped by the growing demand for real-time data processing, simplified DevOps processes, and enhanced productivity. As cloud-native development becomes more prevalent across industries such as finance, healthcare, e-commerce, and media, serverless computing is evolving from a developer convenience into a strategic advantage. By 2032, the market is forecast to reach unprecedented levels of growth, with organizations shifting toward Function-as-a-Service (FaaS) and Backend-as-a-Service (BaaS) to streamline development and reduce operational overhead.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/5510 

Market Keyplayers:

AWS (AWS Lambda, Amazon S3)

Microsoft (Azure Functions, Azure Logic Apps)

Google Cloud (Google Cloud Functions, Firebase)

IBM (IBM Cloud Functions, IBM Watson AI)

Oracle (Oracle Functions, Oracle Cloud Infrastructure)

Alibaba Cloud (Function Compute, API Gateway)

Tencent Cloud (Cloud Functions, Serverless MySQL)

Twilio (Twilio Functions, Twilio Studio)

Cloudflare (Cloudflare Workers, Durable Objects)

MongoDB (MongoDB Realm, MongoDB Atlas)

Netlify (Netlify Functions, Netlify Edge Functions)

Fastly (Compute@Edge, Signal Sciences)

Akamai (Akamai EdgeWorkers, Akamai Edge Functions)

DigitalOcean (App Platform, Functions)

Datadog (Serverless Monitoring, Real User Monitoring)

Vercel (Serverless Functions, Edge Middleware)

Spot by NetApp (Ocean for Serverless, Elastigroup)

Elastic (Elastic Cloud, Elastic Observability)

Backendless (Backendless Cloud, Cloud Code)

Faundb (Serverless Database, Faundb Functions)

Scaleway (Serverless Functions, Object Storage)

8Base (GraphQL API, Serverless Back-End)

Supabase (Edge Functions, Supabase Realtime)

Appwrite (Cloud Functions, Appwrite Database)

Canonical (Juju, MicroK8s)

Market Trends

Several emerging trends are driving the momentum in the serverless computing space, reflecting the industry's pivot toward agility and innovation:

Increased Adoption of Multi-Cloud and Hybrid Architectures: Organizations are moving beyond single-vendor lock-in, leveraging serverless computing across multiple cloud environments to increase redundancy, flexibility, and performance.

Edge Computing Integration: The fusion of serverless and edge computing is enabling faster, localized data processing—particularly beneficial for IoT, AI/ML, and latency-sensitive applications.

Advancements in Developer Tooling: The rise of open-source frameworks, CI/CD integration, and observability tools is enhancing the developer experience and reducing the complexity of managing serverless applications.

Serverless Databases and Storage: Innovations in serverless data storage and processing, including event-driven data lakes and streaming databases, are expanding use cases for serverless platforms.

Security and Compliance Enhancements: With growing concerns over data privacy, serverless providers are focusing on end-to-end encryption, policy enforcement, and secure API gateways.

Enquiry of This Report: https://www.snsinsider.com/enquiry/5510 

Market Segmentation:

By Enterprise Size

Large Enterprise

SME

By Service Model

Function-as-a-Service (FaaS)

Backend-as-a-Service (BaaS)

By Deployment

Private Cloud

Public Cloud

Hybrid Cloud 

By End-user Industry

IT & Telecommunication

BFSI

Retail

Government

Industrial

Market Analysis

The primary growth drivers include the widespread shift to cloud-native technologies, the need for operational efficiency, and the rising number of digital-native enterprises. Small and medium-sized businesses, in particular, benefit from the low infrastructure management costs and scalability of serverless platforms.

North America remains the largest regional market, driven by early adoption of cloud services and strong presence of major tech giants. However, Asia-Pacific is emerging as a high-growth region, fueled by growing IT investments, increasing cloud literacy, and the rapid expansion of e-commerce and mobile applications. Key industry verticals adopting serverless computing include banking and finance, healthcare, telecommunications, and media.

Despite its advantages, serverless architecture comes with challenges such as cold start latency, vendor lock-in, and monitoring complexities. However, advancements in runtime management, container orchestration, and vendor-agnostic frameworks are gradually addressing these limitations.

Future Prospects

The future of the serverless computing market looks exceptionally promising, with innovation at the core of its trajectory. By 2032, the market is expected to be deeply integrated with AI-driven automation, allowing systems to dynamically optimize workloads, security, and performance in real time. Enterprises will increasingly adopt serverless as the default architecture for cloud application development, leveraging it not just for backend APIs but for data science workflows, video processing, and AI/ML pipelines.

As open standards mature and cross-platform compatibility improves, developers will enjoy greater freedom to move workloads across different environments with minimal friction. Tools for observability, governance, and cost optimization will become more sophisticated, making serverless computing viable even for mission-critical workloads in regulated industries.

Moreover, the convergence of serverless computing with emerging technologies—such as 5G, blockchain, and augmented reality—will open new frontiers for real-time, decentralized, and interactive applications. As businesses continue to modernize their IT infrastructure and seek leaner, more responsive architectures, serverless computing will play a foundational role in shaping the digital ecosystem of the next decade.

Access Complete Report: https://www.snsinsider.com/reports/serverless-computing-market-5510 

Conclusion

Serverless computing is no longer just a developer-centric innovation—it's a transformative force reshaping the global cloud computing landscape. Its promise of simplified operations, cost efficiency, and scalability is encouraging enterprises of all sizes to rethink their application development strategies. As demand for real-time, responsive, and scalable solutions grows across industries, serverless computing is poised to become a cornerstone of enterprise digital transformation. With continued innovation and ecosystem support, the market is set to achieve remarkable growth and redefine how applications are built and delivered in the cloud-first era.

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Contact Us:

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

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The Future of Cloud: Best Serverless Development Company Trends

Introduction

Cloud computing is evolving, and one of the most innovative advancements is serverless technology. A Serverless development company eliminates the need for businesses to manage servers, allowing them to focus on building scalable and cost-effective applications. As more organizations adopt serverless computing, it's essential to understand the trends and benefits of working with a serverless provider.

From automating infrastructure management to reducing operational costs, serverless development is revolutionizing how businesses operate in the cloud. This blog explores the role of serverless development, key trends, and how companies can benefit from partnering with a serverless provider.

Why Choose a Serverless Development Company?

A Serverless development company provides cloud-based solutions that handle backend infrastructure automatically. Instead of provisioning and maintaining servers, businesses only pay for what they use. This reduces costs, enhances scalability, and improves efficiency.

Companies across industries are leveraging serverless technology to deploy cloud applications quickly. Whether it's handling high-traffic websites, processing large-scale data, or integrating AI-driven solutions, serverless computing offers unmatched flexibility and reliability.

Latest Trends in Serverless Computing

The adoption of serverless technology is on the rise, with various trends shaping the industry. Some key developments include:

Multi-cloud serverless computing for better flexibility and redundancy.

Enhanced security frameworks to protect cloud-based applications.

Integration of AI and machine learning to automate workflows.

Low-code and no-code development enabling faster application deployment.

These trends indicate that a Serverless development company is not just about reducing costs but also about optimizing business operations for the future.

Top 10 SaaS Development Companies Driving Serverless Adoption

The SaaS industry is a significant player in the adoption of serverless computing. Many SaaS providers are integrating serverless architecture to enhance their platforms.

Here are the Top 10 SaaS Development Companies leading the way in serverless innovation:

Amazon Web Services (AWS Lambda)

Microsoft Azure Functions

Google Cloud Functions

IBM Cloud Functions

Netlify

Cloudflare Workers

Vercel

Firebase Cloud Functions

Twilio Functions

StackPath

These companies are paving the way for serverless solutions that enable businesses to scale efficiently without traditional server management.

Best SaaS Examples in 2025 Showcasing Serverless Success

Many successful SaaS applications leverage serverless technology to provide seamless experiences. Some of the Best SaaS Examples in 2025 using serverless include:

Slack for real-time messaging with scalable cloud infrastructure.

Shopify for handling e-commerce transactions efficiently.

Zoom for seamless video conferencing and collaboration.

Dropbox for secure and scalable cloud storage solutions.

Stripe for processing payments with high reliability.

These SaaS companies use serverless technology to optimize performance and enhance customer experiences.

Guide to SaaS Software Development with Serverless Technology

A Guide to SaaS Software Development with serverless technology involves several crucial steps:

Choose the right cloud provider – AWS, Azure, or Google Cloud.

Leverage managed services – Databases, authentication, and API gateways.

Optimize event-driven architecture – Serverless functions triggered by events.

Implement security best practices – Encryption, IAM policies, and monitoring.

Monitor and scale efficiently – Using automated scaling mechanisms.

These steps help businesses build robust SaaS applications with minimal infrastructure management.

Custom Software Development Company and Serverless Integration

A custom software development company can integrate serverless technology into tailored software solutions. Whether it's developing enterprise applications, e-commerce platforms, or AI-driven solutions, serverless computing enables companies to deploy scalable applications without worrying about server management.

By partnering with a custom software provider specializing in serverless, businesses can streamline development cycles, reduce costs, and improve system reliability.

How Cloud-Based Apps Benefit from Serverless Architecture

The shift towards cloud-based apps has accelerated the adoption of serverless computing. Serverless architecture allows cloud applications to:

Scale automatically based on demand.

Reduce operational costs with pay-as-you-go pricing.

Enhance security with managed cloud services.

Improve application performance with faster response times.

As more companies move towards cloud-native applications, serverless technology will continue to be a game-changer in modern app development.

Conclusion

The Serverless development company landscape is growing, enabling businesses to build scalable, cost-efficient applications with minimal infrastructure management. As serverless trends continue to evolve, partnering with the right development company can help businesses stay ahead in the competitive cloud computing industry.

Whether you're developing SaaS applications, enterprise solutions, or AI-driven platforms, serverless technology provides a flexible and efficient approach to modern software development. Embrace the future of cloud computing with serverless solutions and transform the way your business operates.

[hawkstack]

🚀 Integrating ROSA Applications with AWS Services (CS221)

As cloud-native applications evolve, seamless integration between orchestration platforms like Red Hat OpenShift Service on AWS (ROSA) and core AWS services is becoming a vital architectural requirement. Whether you're running microservices, data pipelines, or containerized legacy apps, combining ROSA’s Kubernetes capabilities with AWS’s ecosystem opens the door to powerful synergies.

In this blog, we’ll explore key strategies, patterns, and tools for integrating ROSA applications with essential AWS services — as taught in the CS221 course.

🧩 Why Integrate ROSA with AWS Services?

ROSA provides a fully managed OpenShift experience, but its true potential is unlocked when integrated with AWS-native tools. Benefits include:

Enhanced scalability using Amazon S3, RDS, and DynamoDB

Improved security and identity management through IAM and Secrets Manager

Streamlined monitoring and observability with CloudWatch and X-Ray

Event-driven architectures via EventBridge and SNS/SQS

Cost optimization by offloading non-containerized workloads

🔌 Common Integration Patterns

Here are some popular integration patterns used in ROSA deployments:

1. Storage Integration:

Amazon S3 for storing static content, logs, and artifacts.

Use the AWS SDK or S3 buckets mounted using CSI drivers in ROSA pods.

2. Database Services:

Connect applications to Amazon RDS or Amazon DynamoDB for persistent storage.

Manage DB credentials securely using AWS Secrets Manager injected into pods via Kubernetes secrets.

3. IAM Roles for Service Accounts (IRSA):

Securely grant AWS permissions to OpenShift workloads.

Set up IRSA so pods can assume IAM roles without storing credentials in the container.

4. Messaging and Eventing:

Integrate with Amazon SNS/SQS for asynchronous messaging.

Use EventBridge to trigger workflows from container events (e.g., pod scaling, job completion).

5. Monitoring & Logging:

Forward logs to CloudWatch Logs using Fluent Bit/Fluentd.

Collect metrics with Prometheus Operator and send alerts to Amazon CloudWatch Alarms.

6. API Gateway & Load Balancers:

Expose ROSA services using AWS Application Load Balancer (ALB).

Enhance APIs with Amazon API Gateway for throttling, authentication, and rate limiting.

📚 Real-World Use Case

Scenario: A financial app running on ROSA needs to store transaction logs in Amazon S3 and trigger fraud detection workflows via Lambda.

Solution:

Application pushes logs to S3 using the AWS SDK.

S3 triggers an EventBridge rule that invokes a Lambda function.

The function performs real-time analysis and writes alerts to an SNS topic.

This serverless integration offloads processing from ROSA while maintaining tight security and performance.

✅ Best Practices

Use IRSA for least-privilege access to AWS services.

Automate integration testing with CI/CD pipelines.

Monitor both ROSA and AWS services using unified dashboards.

Encrypt data in transit and at rest using AWS KMS + OpenShift secrets.

🧠 Conclusion

ROSA + AWS is a powerful combination that enables enterprises to run secure, scalable, and cloud-native applications. With the insights from CS221, you’ll be equipped to design robust architectures that capitalize on the strengths of both platforms. Whether it’s storage, compute, messaging, or monitoring — AWS integrations will supercharge your ROSA applications.

For more details visit - https://training.hawkstack.com/integrating-rosa-applications-with-aws-services-cs221/

[meika-kuna]

The Future of Web Security with AWS Web Application Firewall

In an era of increasing cyber threats, protecting web applications has become a priority for businesses of all sizes. AWS Web Application Firewall is a powerful tool designed to safeguard web applications from common exploits and vulnerabilities. This comprehensive guide will explore key aspects of AWS WAF, helping you understand its benefits, configuration, and integration for optimal security.

The Basics of AWS Web Application Firewall

AWS Web Application Firewall is a security service offered by Amazon Web Services that protects web applications from threats such as SQL injection, cross-site scripting, and other malicious attacks. It allows users to create customizable security rules to filter incoming traffic based on specific patterns and behaviors.

Key Features of AWS Web Application Firewall

AWS WAF provides several powerful features including IP address filtering, rate-based rules, and AWS Managed Rules. These managed rule sets are pre-configured to protect against common threats, reducing the time required to implement effective security measures. With detailed logging and monitoring, AWS WAF enables administrators to analyze and respond to suspicious activity in real time.

Setting Up AWS Web Application Firewall for Your Web Application

Deploying AWS WAF involves creating a Web ACL (Access Control List) and associating it with AWS resources such as Amazon CloudFront, Application Load Balancer, or Amazon API Gateway. You can define custom rules or use managed rulesets based on your application’s needs. Configuring rule priority ensures the most important rules are applied first, making security management more efficient.

Benefits of Using AWS Web Application Firewall for Businesses

Implementing AWS WAF offers significant advantages, including improved protection against automated attacks, reduced downtime, and better user experience. Its ability to scale automatically with traffic ensures that security measures remain consistent regardless of user load. Additionally, centralized management simplifies administration for organizations with multiple applications.

Common Use Cases for AWS Web Application Firewall

Businesses use AWS WAF in a variety of scenarios such as blocking bad bots, mitigating DDoS attacks, and enforcing access control. E-commerce platforms, financial services, and healthcare applications frequently rely on AWS WAF to maintain the confidentiality, integrity, and availability of sensitive data.

Integrating AWS Web Application Firewall with Other AWS Services

One of the key strengths of AWS WAF is its seamless integration with other AWS services. For example, pairing it with AWS Shield enhances protection against DDoS attacks, while integration with Amazon CloudWatch provides advanced logging and alerting. Combining AWS WAF with AWS Lambda allows for automated response to detected threats.

Monitoring and Optimizing AWS Web Application Firewall Performance

Regularly reviewing logs and rule performance is essential for maintaining effective security. AWS WAF provides metrics through Amazon CloudWatch, enabling real-time tracking of blocked requests, rule match counts, and overall traffic trends. Adjusting rules based on this data helps fine-tune protection and maintain application performance.

Conclusion

AWS Web Application Firewall is a crucial component in modern web security. With its customizable rules, managed rule sets, and seamless integration with AWS services, it offers a scalable and effective solution for protecting web applications. By implementing AWS WAF, organizations can proactively defend against evolving threats and ensure a secure digital experience for their users.

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Price: [price_with_discount] (as of [price_update_date] - Details) [ad_1] DESCRIPTION Cloud computing provides a more efficient, reliable, secure, and cost-effective way to run applications. Cloud computing offers customers access to rapidly growing amounts of data storage and computation resources while centralizing IT operations in the cloud provider's datacenter or in colocation data centers.Understand AWS basics such as EC2, VPCs, S3, and IAM while learning to design secure and scalable cloud architectures. This book guides you through automating infrastructure with CloudFormation and exploring advanced topics like containers, continuous integration and continuous delivery (CI/CD) pipelines, and cloud migration. You will also discover serverless computing with Lambda, API Gateway, and DynamoDB, enabling you to build efficient, modern applications. With real-world examples and best practices, this resource helps you optimize your AWS environment for both performance and cost, ensuring you can build and maintain robust cloud solutions.By the end of this book, you will be able to confidently design, build, and operate scalable and secure cloud solutions on AWS. Gain the expertise to leverage the full potential of cloud computing and drive innovation in your organization. WHAT YOU WILL LEARN● How to get started with and launch EC2 instances. ● Working with and simplifying VPC's, security groups, and network access control lists on AWS.● Learn how to secure your AWS environment through the use of IAM roles and policies.● Learn how to build scalable and fault-tolerant database systems using AWS database services such as RDS and Aurora.● Learn how to set up a CI/CD pipeline on AWS. WHO THIS BOOK IS FORWhether you are a system administrator, cloud architect, solutions architect, cloud engineer, DevOps engineer, security engineer, or cloud professional, this book provides valuable insights and practical guidance to help you build and operate robust cloud solutions on AWS. Publisher ‏ : ‎ Bpb Publications (27 September 2024); BPB Publications Language ‏ : ‎ English Paperback ‏ : ‎ 412 pages ISBN-10 ‏ : ‎ 9365899753 ISBN-13 ‏ : ‎ 978-9365899757 Item Weight ‏ : ‎ 703 g Dimensions ‏ : ‎ 19.05 x 2.36 x 23.5 cm Country of Origin ‏ : ‎ India Packer ‏ : ‎ Sansrack Book House [ad_2]