#aws lambda configuration

[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…

[monisha1199]

Level up your cloud skills with this AWS course: The ultimate guide to mastering Amazon Web Services!

Are you fascinated by the world of cloud computing? Do you want to enhance your skills and become a proficient Amazon Web Services (AWS) professional? Look no further! This comprehensive guide will walk you through the essential aspects of AWS education and training, providing you with the tools you need to excel in this rapidly evolving field. Whether you are a novice starting from scratch or an experienced IT professional aiming for career advancement, this AWS course will equip you with the knowledge and expertise to navigate the cloud with confidence.

Education: Building Blocks for Success

Understanding the Basics of Cloud Computing

Before diving into the intricacies of Amazon Web Services, it is crucial to comprehend the fundamentals of cloud computing. Explore the concept of virtualization, where physical resources are abstracted into virtual instances, allowing for greater efficiency, scalability, and flexibility. Familiarize yourself with key terms such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). By understanding these building blocks, you will be prepared to harness the full power of AWS.

Navigating the AWS Management Console

The AWS Management Console is your gateway to the vast array of services provided by Amazon Web Services. Acquaint yourself with this user-friendly interface as we walk you through the various components and functionalities it offers. From launching virtual servers to configuring security settings, you will gain a solid foundation in managing AWS resources effectively.

Essential AWS Services to Master

AWS boasts a vast ecosystem of services, each designed to address specific computing needs. We will explore some of the core services that form the backbone of AWS, including Amazon Elastic Compute Cloud (EC2), Amazon Simple Storage Service (S3), Amazon Relational Database Service (RDS), and Amazon Lambda. Delve into the intricacies of these services and discover how they can revolutionize your cloud-based projects.

Guide to Start AWS Training

Choosing the Right Training Path

Embarking on your AWS training journey requires careful consideration of your individual goals and learning preferences. Evaluate the various training options available, such as self-paced online courses, instructor-led virtual classrooms, or hands-on workshops. Analyze your resources, time constraints, and preferred learning style to select the training path that aligns best with your needs.

Structured Learning Approach

Mastering AWS necessitates a systematic and well-structured approach. Discover the importance of laying a strong foundation by beginning with the AWS Certified Cloud Practitioner exam. From there, progress to more specialized certifications such as AWS Certified Solutions Architect, AWS Certified Developer, or AWS Certified SysOps Administrator. Each certification builds upon the previous one, creating a comprehensive knowledge base that will set you apart in this competitive industry.

Hands-On Experience and Real-World Projects

Theory alone is insufficient when it comes to mastering AWS. Develop your practical skills by engaging in hands-on labs and real-world projects that simulate the challenges you are likely to encounter in the field. Dive into deploying applications, configuring scalable infrastructure, and troubleshooting common issues. By actively applying your knowledge, you will solidify your understanding and gain invaluable experience.

Placement: Unlocking Opportunities

Leveraging AWS Certification in the Job Market

AWS certifications have emerged as a gold standard in the realm of cloud computing. Employers actively seek professionals who possess the skills and credentials to navigate and optimize AWS environments. Discover how an AWS certification can significantly enhance your employability, propel your career trajectory, and open doors to exciting job opportunities in a wide range of industries.

Showcasing your AWS Expertise

Once you have acquired the necessary skills and certifications, it is essential to effectively showcase your AWS expertise. Craft a captivating resume highlighting your AWS experiences and projects. Create a strong online presence through platforms like LinkedIn and GitHub, demonstrating your proficiency to potential employers. Actively participate in AWS forums and communities, exchanging knowledge and insights with fellow professionals and building a robust network.

Continuous Learning and Growth

AWS is a rapidly evolving platform, constantly introducing new services, features, and updates. Stay ahead of the curve by fostering a mindset of continuous learning and growth. Engage in ongoing professional development, attend AWS conferences and webinars, and subscribe to relevant industry publications. By embracing a culture of continuous improvement, you will remain at the forefront of AWS innovation and unlock limitless possibilities for advancement.

Embarking on the journey to mastering AWS Course at ACTE institute can be both exciting and challenging. However, armed with comprehensive education, a well-structured training approach, and a strategic placement strategy, you can level up your cloud skills and unlock a world of opportunities. Start your AWS training today, and transcend the realms of cloud computing like never before!

[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.

[hexaa12321]

Serverless Computing: Simplifying Backend Development

Absolutely! Here's a brand new 700-word blog on the topic: "Serverless Computing: Simplifying Backend Development" — written in a clear, simple tone without any bold formatting, and including mentions of Hexadecimal Software and Hexahome Blogs.

Serverless Computing: Simplifying Backend Development

The world of software development is constantly evolving. One of the most exciting shifts in recent years is the rise of serverless computing. Despite the name, serverless computing still involves servers — but the key difference is that developers no longer need to manage them.

With serverless computing, developers can focus purely on writing code, while the cloud provider automatically handles server management, scaling, and maintenance. This approach not only reduces operational complexity but also improves efficiency, cost savings, and time to market.

What is Serverless Computing?

Serverless computing is a cloud computing model where the cloud provider runs the server and manages the infrastructure. Developers simply write functions that respond to events — like a file being uploaded or a user submitting a form — and the provider takes care of executing the function, scaling it based on demand, and handling all server-related tasks.

Unlike traditional cloud models where developers must set up virtual machines, install software, and manage scaling, serverless removes those responsibilities entirely.

How It Works

Serverless platforms use what are called functions-as-a-service (FaaS). Developers upload small pieces of code (functions) to the cloud platform, and each function is triggered by a specific event. These events could come from HTTP requests, database changes, file uploads, or scheduled timers.

The platform then automatically runs the code in a stateless container, scales the application based on the number of requests, and shuts down the container when it's no longer needed. You only pay for the time the function is running, which can significantly reduce costs.

Popular serverless platforms include AWS Lambda, Google Cloud Functions, Azure Functions, and Firebase Cloud Functions.

Benefits of Serverless Computing

Reduced infrastructure management Developers don’t have to manage or maintain servers. Everything related to infrastructure is handled by the cloud provider.

Automatic scaling Serverless platforms automatically scale the application depending on the demand, whether it's a few requests or thousands.

Cost efficiency Since you only pay for the time your code runs, serverless can be more affordable than always-on servers, especially for applications with variable traffic.

Faster development Serverless enables quicker development and deployment since the focus is on writing code and not on managing environments.

High availability Most serverless platforms ensure high availability and reliability without the need for additional configuration.

Use Cases of Serverless Computing

Serverless is suitable for many types of applications:

Web applications: Serverless functions can power APIs and backend logic for web apps.

IoT backends: Data from devices can be processed in real-time using serverless functions.

Chatbots: Event-driven logic for responding to messages can be handled with serverless platforms.

Real-time file processing: Automatically trigger functions when files are uploaded to storage, like resizing images or analyzing documents.

Scheduled tasks: Functions can be set to run at specific times for operations like backups or report generation.

Challenges of Serverless Computing

Like any technology, serverless computing comes with its own set of challenges:

Cold starts: When a function hasn’t been used for a while, it may take time to start again, causing a delay.

Limited execution time: Functions often have time limits, which may not suit long-running tasks.

Vendor lock-in: Each cloud provider has its own way of doing things, making it hard to move applications from one provider to another.

Debugging and monitoring: Tracking errors or performance in distributed functions can be more complex.

Despite these challenges, many teams find that the benefits of serverless outweigh the limitations, especially for event-driven applications and microservices.

About Hexadecimal Software

Hexadecimal Software is a leading software development company specializing in cloud-native solutions, DevOps, and modern backend systems. Our experts help businesses embrace serverless computing to build efficient, scalable, and low-maintenance applications. Whether you’re developing a new application or modernizing an existing one, we can guide you through your cloud journey. Learn more at https://www.hexadecimalsoftware.com

Explore More on Hexahome Blogs

To discover more about cloud computing, DevOps, and modern development practices, visit our blog platform at https://www.blogs.hexahome.in. Our articles are written in a simple, easy-to-understand style to help professionals stay updated with the latest tech trends.

[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

[codebriefly]

New Post has been published on https://codebriefly.com/building-and-deploying-angular-19-apps/

Building and Deploying Angular 19 Apps

Efficiently building and deploying Angular 19 applications is crucial for delivering high-performance, production-ready web applications. In this blog, we will cover the complete process of building and deploying Angular 19 apps, including best practices and optimization tips.

Table of Contents

Toggle

Why Building and Deploying Matters

Preparing Your Angular 19 App for Production

Building Angular 19 App

Key Optimizations in Production Build:

Configuration Example:

Deploying Angular 19 App

Deploying on Firebase Hosting

Deploying on AWS S3 and CloudFront

Automating Deployment with CI/CD

Example with GitHub Actions

Best Practices for Building and Deploying Angular 19 Apps

Final Thoughts

Why Building and Deploying Matters

Building and deploying are the final steps of the development lifecycle. Building compiles your Angular project into static files, while deploying makes it accessible to users on a server. Proper optimization and configuration ensure faster load times and better performance.

Preparing Your Angular 19 App for Production

Before building the application, make sure to:

Update Angular CLI: Keep your Angular CLI up to date.

npm install -g @angular/cli

Optimize Production Build: Enable AOT compilation and minification.

Environment Configuration: Use the correct environment variables for production.

Building Angular 19 App

To create a production build, run the following command:

ng build --configuration=production

This command generates optimized files in the dist/ folder.

Key Optimizations in Production Build:

AOT Compilation: Reduces bundle size by compiling templates during the build.

Tree Shaking: Removes unused modules and functions.

Minification: Compresses HTML, CSS, and JavaScript files.

Source Map Exclusion: Disables source maps for production builds to improve security and reduce file size.

Configuration Example:

Modify the angular.json file to customize production settings:

"configurations": "production": "optimization": true, "outputHashing": "all", "sourceMap": false, "namedChunks": false, "extractCss": true, "aot": true, "fileReplacements": [ "replace": "src/environments/environment.ts", "with": "src/environments/environment.prod.ts" ]

    Deploying Angular 19 App

Deployment options for Angular apps include:

Static Web Servers (e.g., NGINX, Apache)

Cloud Platforms (e.g., AWS S3, Firebase Hosting)

Docker Containers

Serverless Platforms (e.g., AWS Lambda)

Deploying on Firebase Hosting

Install Firebase CLI:

npm install -g firebase-tools

Login to Firebase:

firebase login

Initialize Firebase Project:

firebase init hosting

Deploy the App:

firebase deploy

Deploying on AWS S3 and CloudFront

Build the Project:

ng build --configuration=production

Upload to S3:

aws s3 sync ./dist/my-app s3://my-angular-app

Configure CloudFront Distribution: Set the S3 bucket as the origin.

Automating Deployment with CI/CD

Setting up a CI/CD pipeline ensures seamless updates and faster deployments.

Example with GitHub Actions

Create a .github/workflows/deploy.yml file:

name: Deploy Angular App on: [push] jobs: build-and-deploy: runs-on: ubuntu-latest steps: - uses: actions/checkout@v2 - name: Set up Node.js uses: actions/setup-node@v2 with: node-version: '18' - run: npm install - run: npm run build -- --configuration=production - name: Deploy to S3 run: aws s3 sync ./dist/my-app s3://my-angular-app --delete

Best Practices for Building and Deploying Angular 19 Apps

Optimize for Production: Always use AOT and minification.

Use CI/CD Pipelines: Automate the build and deployment process.

Monitor Performance: Utilize tools like Lighthouse to analyze performance.

Secure the Application: Enable HTTPS and configure secure headers.

Cache Busting: Use hashed filenames to avoid caching issues.

Containerize with Docker: Simplifies deployments and scales easily.

Final Thoughts

Building and deploying Angular 19 applications efficiently can significantly enhance performance and maintainability. Following best practices and leveraging cloud hosting services ensure that your app is robust, scalable, and fast. Start building your next Angular project with confidence!

Keep learning & stay safe 😉

You may like:

Testing and Debugging Angular 19 Apps

Performance Optimization and Best Practices in Angular 19

UI/UX with Angular Material in Angular 19

[antongordon]

Anton R Gordon on Securing AI Infrastructure with Zero Trust Architecture in AWS

As artificial intelligence becomes more deeply embedded into enterprise operations, the need for robust, secure infrastructure is paramount. AI systems are no longer isolated R&D experiments — they are core components of customer experiences, decision-making engines, and operational pipelines. Anton R Gordon, a renowned AI Architect and Cloud Security Specialist, advocates for implementing Zero Trust Architecture (ZTA) as a foundational principle in securing AI infrastructure, especially within the AWS cloud environment.

Why Zero Trust for AI?

Traditional security models operate under the assumption that anything inside a network is trustworthy. In today’s cloud-native world — where AI workloads span services, accounts, and geographical regions — this assumption can leave systems dangerously exposed.

“AI workloads often involve sensitive data, proprietary models, and critical decision-making processes,” says Anton R Gordon. “Applying Zero Trust principles means that every access request is verified, every identity is authenticated, and no implicit trust is granted — ever.”

Zero Trust is particularly crucial for AI environments because these systems are not static. They evolve, retrain, ingest new data, and interact with third-party APIs, all of which increase the attack surface.

Anton R Gordon’s Zero Trust Blueprint in AWS

Anton R Gordon’s approach to securing AI systems with Zero Trust in AWS involves a layered strategy that blends identity enforcement, network segmentation, encryption, and real-time monitoring.

1. Enforcing Identity at Every Layer

At the core of Gordon’s framework is strict IAM (Identity and Access Management). He ensures all users, services, and applications assume the least privilege by default. Using IAM roles and policies, he tightly controls access to services like Amazon SageMaker, S3, Lambda, and Bedrock.

Gordon also integrates AWS IAM Identity Center (formerly AWS SSO) for centralized authentication, coupled with multi-factor authentication (MFA) to reduce credential-based attacks.

2. Micro-Segmentation with VPC and Private Endpoints

To prevent lateral movement within the network, Gordon leverages Amazon VPC, creating isolated environments for each AI component — data ingestion, training, inference, and storage. He routes all traffic through private endpoints, avoiding public internet exposure.

For example, inference APIs built on Lambda or SageMaker are only accessible through VPC endpoints, tightly scoped security groups, and AWS Network Firewall policies.

3. Data Encryption and KMS Integration

Encryption is non-negotiable. Gordon enforces encryption for data at rest and in transit using AWS KMS (Key Management Service). He also sets up customer-managed keys (CMKs) for more granular control over sensitive datasets and AI models stored in Amazon S3 or Amazon EFS.

4. Continuous Monitoring and Incident Response

Gordon configures Amazon GuardDuty, CloudTrail, and AWS Config to monitor all user activity, configuration changes, and potential anomalies. When paired with AWS Security Hub, he creates a centralized view for detecting and responding to threats in real time.

He also sets up automated remediation workflows using AWS Lambda and EventBridge to isolate or terminate suspicious sessions instantly.

Conclusion

By applying Zero Trust Architecture principles, Anton R Gordon ensures AI systems in AWS are not only performant but resilient and secure. His holistic approach — blending IAM enforcement, network isolation, encryption, and continuous monitoring — sets a new standard for AI infrastructure security.

For organizations deploying ML models and AI services in the cloud, following Gordon’s Zero Trust blueprint provides peace of mind, operational integrity, and compliance in an increasingly complex threat landscape.

[trendnologiesblog]

AWS Training in Porur – Practical Learning with Placement Guarantee

Are you looking for AWS Training in Porur that helps you gain practical skills and land a job in cloud computing? Trendnologies, a premier software training institute, offers industry-oriented AWS courses tailored for IT professionals and fresh graduates. With our commitment to hands-on learning and 100% job placement support, we help learners confidently step into the cloud domain.

With centers in Chennai (including Porur), Coimbatore, and Bangalore, Trendnologies is a trusted name in Information Technology education and professional training. Whether you're starting your career or upskilling, we provide a supportive ecosystem for success.

Why AWS Training is Important in Today’s Job Market

Amazon Web Services (AWS) is the world’s leading cloud platform used by startups, enterprises, and government sectors. As businesses increasingly migrate to cloud-based infrastructure, the demand for certified AWS professionals has skyrocketed.

Career opportunities with AWS include:

Cloud Solution Architect

AWS SysOps Administrator

DevOps Engineer

AWS Cloud Developer

Cloud Infrastructure Engineer

Getting trained and certified in AWS opens doors to high-paying jobs and long-term career growth.

Why Choose Trendnologies for AWS Training in Porur?

At Trendnologies Porur, we provide more than just theoretical knowledge. Our AWS course is built around real-world projects, use-cases, and certification-focused training. We ensure our students are ready to perform in interviews and real job roles.

Course Highlights:

Certified & Experienced Trainers

Real-Time Projects & Lab Access

Interactive Classes with Q&A Support

Career Mentorship and Resume Building

Mock Interviews and Placement Preparation

100% Job Placement Guarantee

Our teaching methods are highly practical, enabling students to deploy, manage, and troubleshoot AWS services with confidence.

What You’ll Learn in AWS Course in Porur

Our comprehensive AWS training curriculum includes:

Introduction to Cloud Computing and AWS Fundamentals

EC2 (Elastic Compute Cloud) Configuration

S3 (Simple Storage Service) and Lifecycle Policies

RDS (Relational Database Services)

IAM (Identity & Access Management) for Security

VPC (Virtual Private Cloud) Setup

Auto Scaling and Load Balancers

AWS Lambda and Serverless Architecture

Monitoring with AWS CloudWatch

Deployment using CloudFormation

We also guide students to prepare for AWS certifications such as:

AWS Certified Solutions Architect – Associate

AWS Certified Developer – Associate

Who Should Take Up This AWS Training?

Our AWS course is designed for:

Fresh Graduates looking to enter the IT industry

Working Professionals aiming for a career switch

System Admins and Network Engineers

Software Developers exploring cloud roles

DevOps aspirants

We welcome learners from all technical backgrounds. No prior AWS experience is required—just basic computer knowledge and a willingness to learn.

Convenient AWS Training in Porur, Chennai

Trendnologies’ Porur branch is well-connected and easy to reach from surrounding areas like Iyyappanthangal, Ramapuram, Valasaravakkam, and Mangadu. Our training center offers a focused learning environment with modern infrastructure, labs, and project spaces.

For students with time or travel constraints, we also offer online AWS training with live instructor support.

100% Placement Assistance

With Trendnologies, students don’t just learn—they launch their careers. Our dedicated placement cell works closely with hiring partners and MNCs to ensure our students are job-ready.

Placement services include:

Resume Writing & Optimization

Personality Development Sessions

Technical Mock Interviews

HR Interview Preparation

Job Referrals & Direct Company Interviews

Our placement success stories span top companies in Chennai and across India.

Conclusion

If you're serious about building a rewarding IT career in the cloud industry, AWS Training in Porur with Trendnologies is your perfect launchpad. We equip you with the skills, certifications, and placement support to succeed in today's tech-driven job market.

Website: www.trendnologies.com Email: info@trendnologies.com Location: Chennai | Coimbatore | Bangalore

[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.

[hawkstack]

Integrating ROSA Applications with AWS Services (CS221)

Introduction

Red Hat OpenShift Service on AWS (ROSA) is a fully managed OpenShift solution that allows organizations to deploy, manage, and scale containerized applications in the AWS cloud. One of the biggest advantages of ROSA is its seamless integration with AWS services, enabling developers to build robust, scalable, and secure applications.

In this blog, we will explore how ROSA applications can integrate with AWS services like Amazon RDS, S3, Lambda, IAM, and CloudWatch, ensuring high performance, security, and automation.

1️⃣ Why Integrate ROSA with AWS Services?

By leveraging AWS-native services, ROSA users can: ��� Reduce operational overhead with managed services ✅ Improve scalability with auto-scaling and elastic infrastructure ✅ Enhance security with AWS IAM, security groups, and private networking ✅ Automate deployments using AWS DevOps tools ✅ Optimize costs with pay-as-you-go pricing

2️⃣ Key AWS Services for ROSA Integration

1. Amazon RDS for Persistent Databases

ROSA applications can connect to Amazon RDS (PostgreSQL, MySQL, MariaDB) for reliable and scalable database storage.

Use AWS Secrets Manager to securely store database credentials.

Implement VPC peering for private connectivity between ROSA clusters and RDS.

2. Amazon S3 for Object Storage

Store logs, backups, and application assets using Amazon S3.

Utilize S3 bucket policies and IAM roles for controlled access.

Leverage AWS SDKs to interact with S3 storage from ROSA applications.

3. AWS Lambda for Serverless Functions

Trigger Lambda functions from ROSA apps for event-driven automation.

Examples include processing data uploads, invoking ML models, or scaling workloads dynamically.

4. AWS IAM for Role-Based Access Control (RBAC)

Use IAM roles and policies to manage secure interactions between ROSA apps and AWS services.

Implement fine-grained permissions for API calls to AWS services like S3, RDS, and Lambda.

5. Amazon CloudWatch for Monitoring & Logging

Use CloudWatch Metrics to monitor ROSA cluster health, application performance, and scaling events.

Integrate CloudWatch Logs for centralized logging and troubleshooting.

Set up CloudWatch Alarms for proactive alerting.

3️⃣ Steps to Integrate AWS Services with ROSA

Step 1: Configure IAM Roles

1️⃣ Create an IAM Role with necessary AWS permissions. 2️⃣ Attach the role to your ROSA cluster via IAM OpenShift Operators.

Step 2: Secure Network Connectivity

1️⃣ Use AWS PrivateLink or VPC Peering to connect ROSA to AWS services privately. 2️⃣ Configure security groups to restrict access to the required AWS endpoints.

Step 3: Deploy AWS Services & Connect

1️⃣ Set up Amazon RDS, S3, or Lambda with proper security configurations. 2️⃣ Update your OpenShift applications to communicate with AWS endpoints via SDKs or API calls.

Step 4: Monitor & Automate

1️⃣ Enable CloudWatch monitoring for logs and metrics. 2️⃣ Implement AWS EventBridge to trigger automation workflows based on application events.

4️⃣ Use Case: Deploying a Cloud-Native Web App with ROSA & AWS

Scenario: A DevOps team wants to deploy a scalable web application using ROSA and AWS services.

🔹 Frontend: Runs on OpenShift pods behind an AWS Application Load Balancer (ALB) 🔹 Backend: Uses Amazon RDS PostgreSQL for structured data storage 🔹 Storage: Amazon S3 for storing user uploads and logs 🔹 Security: AWS IAM manages access to AWS services 🔹 Monitoring: CloudWatch collects logs & triggers alerts for failures

By following the above integration steps, the team ensures high availability, security, and cost-efficiency while reducing operational overhead.

Conclusion

Integrating ROSA with AWS services unlocks powerful capabilities for deploying secure, scalable, and high-performance applications. By leveraging AWS-managed databases, storage, serverless functions, and monitoring tools, DevOps teams can focus on innovation rather than infrastructure management.

🚀 Ready to build cloud-native apps with ROSA and AWS? Start your journey today!

🔗 Need expert guidance? www.hawkstack.com 

[harinikhb30]

AWS Mastery Unveiled: Your Step-by-Step Journey into Cloud Proficiency

In today's rapidly evolving tech landscape, mastering cloud computing is a strategic move for individuals and businesses alike. Amazon Web Services (AWS), as a leading cloud services provider, offers a myriad of tools and services to facilitate scalable and efficient computing. With AWS Training in Hyderabad, professionals can gain the skills and knowledge needed to harness the capabilities of AWS for diverse applications and industries. Whether you're a seasoned IT professional or a beginner eager to dive into the cloud, here's a step-by-step guide to learning and mastering Amazon AWS.

1. Start with AWS Documentation:

The foundation of your AWS journey begins with the official AWS documentation. This vast resource provides detailed information, tutorials, and guides for each AWS service. Take the time to familiarize yourself with the terminologies and fundamental concepts. Understanding the basics lays a solid groundwork for more advanced learning.

2. Enroll in AWS Training and Certification:

AWS provides a dedicated training and certification program to empower individuals with the skills required in today's cloud-centric environment. Explore the AWS Training and Certification portal, which offers a range of courses, both free and paid. Commence your AWS certification journey with the AWS Certified Cloud Practitioner, progressively advancing to specialized certifications aligned with your career goals.

3. Hands-On Practice with AWS Free Tier:

Theory is valuable, but hands-on experience is paramount. AWS Free Tier allows you to experiment with various services without incurring charges. Seize this opportunity to get practical, testing different services and scenarios. This interactive approach reinforces theoretical knowledge and builds your confidence in navigating the AWS console.

4. Explore Online Courses and Tutorials:

Several online platforms offer structured AWS courses. Websites like Coursera, Udemy, and A Cloud Guru provide video lectures, hands-on labs, and real-world projects. These courses cover a spectrum of topics, from foundational AWS concepts to specialized domains like AWS security and machine learning. To master the intricacies of AWS and unlock its full potential, individuals can benefit from enrolling in the Top AWS Training Institute. This training ensures that professionals gain the expertise needed to navigate the complexities of AWS, empowering them to contribute effectively to their organizations' digital transformation and success.

5. Build Projects and Apply Knowledge:

The true test of your AWS proficiency lies in applying your knowledge to real-world projects. Start small, perhaps by deploying a static website on Amazon S3. As you gain confidence, move on to more complex projects, such as configuring a virtual server on Amazon EC2 or creating a serverless application using AWS Lambda. Practical application solidifies your understanding and hones your problem-solving skills.

6. Join AWS Communities and Forums:

Learning is a collaborative effort. Joining AWS communities and forums allows you to connect with like-minded individuals, seek advice, and share your experiences. Platforms like the AWS Developer Forums provide a space for discussing challenges and learning from others' insights. Networking within the AWS community can open doors to valuable opportunities and collaborations.

7. Read AWS Whitepapers and Case Studies:

AWS regularly publishes whitepapers covering best practices, architecture recommendations, and real-world case studies. Delve into these resources to gain deeper insights into how AWS services are applied in diverse scenarios. Whitepapers provide a wealth of knowledge on topics such as security, scalability, and cost optimization.

8. Experiment with AWS CLI and SDKs:

Command Line Interface (CLI) proficiency is a valuable skill for any AWS practitioner. Familiarize yourself with the AWS CLI, as well as Software Development Kits (SDKs) for your preferred programming languages. Automating tasks through the CLI and integrating AWS services into your applications enhances efficiency and allows for more sophisticated configurations.

9. Attend AWS Events and Webinars:

Stay abreast of the latest AWS trends, updates, and best practices by attending AWS events, webinars, and conferences. These platforms often feature expert speakers, product announcements, and in-depth discussions on specific AWS topics. Engaging with industry leaders and experts provides valuable insights into the current state and future direction of AWS.

10. Stay Updated and Adapt:

The cloud computing landscape is dynamic, with AWS continually introducing new services and updates. Subscribe to AWS newsletters, follow AWS blogs, and listen to AWS-focused podcasts to stay informed about the latest developments. Continuous learning is key to adapting to the evolving cloud technology landscape.

In conclusion, mastering Amazon AWS is a journey that combines theoretical understanding, hands-on experience, and active participation in the AWS community. By following these ten steps, you can develop a comprehensive skill set that empowers you to leverage AWS effectively, whether you're building applications, optimizing processes, or advancing your career in the cloud.

[govindhtech]

AWS Transfer Family and GuardDuty Malware Protection for S3

S3 malware protection

Protecting against malware using AWS Transfer Family and GuardDuty

Businesses often must deliver online content safely. Public file transfer servers put the firm at risk from threat actors or unauthorised users submitting malware-infected files. Businesses can limit this risk by checking public-channel files for malware before processing.

AWS Transfer Family and Amazon GuardDuty may scan files transferred over a secure FTP (SFTP) server for malware as part of a transfer operation. GuardDuty automatically updates malware signatures every 15 minutes instead of scanning a container image, avoiding the need for human patching.

Prerequisites

What you need to implement the solution:

AWS account: This solution requires AWS access. If you don't have an AWS account, see Start developing today.

CLI: AWS Command Line Interface Install and link the AWS CLI to your account. Configure AWS account environment variables using your access token and secret access key.

The sample code will be fetched from GitHub using Git.

Terraform: Automation will use Terraform. Follow Terraform installation instructions to download and install.

Solution overview

This solution uses GuardDuty and Transfer Family. Smart threat detection service GuardDuty and secure file transfer service Transfer Family may be used to set up an SFTP server. AWS accounts, workloads, and data are protected by GuardDuty from odd and hazardous activity. The high-level solution uses these steps:

Transfer Family SFTP servers receive user file uploads.

Transfer Family workflows call AWS Lambda to conduct AWS Step Functions workflows.

Workflow begins after file upload.

Partial uploads to the SFTP server trigger an error handling Lambda function to report an error.

After a step function state machine runs a Lambda function to move uploaded files to an Amazon S3 bucket for processing, GuardDuty scans.

Step gets GuardDuty scan results as callbacks.

Clean or move infected files.

The process sends results using Amazon SNS. This might be an alert about a hazardous upload or problem that happened during the scan, or it could be a message about a successful upload and a clean scan that can be processed further.

Architecture and walkthrough of the solution

GuardDuty Malware Protection for S3 checks freshly uploaded S3 things. GuardDuty lets you monitor object prefixes or design a bucket-level malware defence approach.

This solution's procedure begins with file upload and continues through scanning and infection classification. From there, adjust the procedures for your use case.

Transfer Family uploads files using SFTP.

A successful upload starts the Managed Workflow Complete workflow and uploads the file to the Unscanned S3 bucket using Transfer Family. Successful uploads are managed by the Step Function Invoker Lambda function.

The Step Function The invoker starts the state machine and process by calling GuardDuty Scan Lambda.

GuardDuty Scan moves the file to Processing. The scanned files will come from this bucket.

GuardDuty automatically checks uploaded items. This implementation develops a Processing bucket malware prevention strategy.

After scanning, GuardDuty sends Amazon EventBridge the result.

A Lambda Callback function is invoked by an EventBridge rule after each scan. EventBridge calls the method with scan results. See Amazon EventBridge S3 item scan monitoring.

Lambda Callback alerts GuardDuty Scan using callback task integration. The Move File task receives GuardDuty scan results after returning to the Scan function.

If the scan finds no threats, the transport File operation will transport the file to the Clean S3 bucket for further processing.

Move File now posts to Success SNS to notify subscribers.

The Move File function will send the file to the Quarantine S3 bucket for extra analysis if the conclusion suggests that the file is dangerous. To warn the user to the upload of a potentially hazardous file, the function will further delete the file from the Processing bucket and publish a notification in the SNS’s Error topic.

Transfer Family will commence the Managed procedure Partial process if the file upload fails and is not entirely uploaded.

Controlled Workflow The Error Publisher function, which is used to report errors that emerge anywhere in the process, is called by the Partial error handling workflow.

The issue Publisher function detects the type of issue and adjusts the error status appropriately, depending on whether it is due to a partial upload or a problem elsewhere in the process. Then it will send an error message to the SNS Error Topic.

The GuardDuty Scan job has a timeout to broadcast an event to Error Topic if the file isn't scanned, requiring a manual intervention. If GuardDuty Scan fails, the Error clean up Lambda function is invoked.

Finally, the Processing bucket has an S3 Lifecycle policy. This ensures no file stays in the Processing bucket longer than a day.

Code base

The GitHub AWS-samples project implements this method using Terraform and Python-based Lambda functions.This solution may be built with AWS CloudFormation. The code includes everything needed to finish the procedure and demonstrate GuardDuty's malware protection plan and Transfer Family.

Install the fix

Applying this solution to testing.

Clone the repository to your working directory with Git.

Enter the root directory of the copied project.

Customise Terraform locals.tf's S3 bucket, SFTP server, and other variables.

Execute Terraform.

If everything seems good, run Terraform Apply and select Yes to construct resources.

Clear up

Preventing unnecessary costs requires cleaning up your resources after testing and examining the solution. Remove this solution's resources by running the following command in your cloned project's root directory:

This command deletes Terraform-created SFTP servers, S3 buckets, Lambda functions, and other resources. Answer “yes” to confirm deletion.

In conclusion

Follow the instructions in the post to analyse SFTP files uploaded to your S3 bucket for hazards and safe processing. The solution reduces exposure by securely scanning public uploads before sending them to other portions of your system.

[hexaa12321]

Serverless Computing: Simplifying Backend Development

Absolutely! Here's a brand new 700-word blog on the topic: "Serverless Computing: Simplifying Backend Development" — written in a clear, simple tone without any bold formatting, and including mentions of Hexadecimal Software and Hexahome Blogs.

Serverless Computing: Simplifying Backend Development

The world of software development is constantly evolving. One of the most exciting shifts in recent years is the rise of serverless computing. Despite the name, serverless computing still involves servers — but the key difference is that developers no longer need to manage them.

With serverless computing, developers can focus purely on writing code, while the cloud provider automatically handles server management, scaling, and maintenance. This approach not only reduces operational complexity but also improves efficiency, cost savings, and time to market.

What is Serverless Computing?

Serverless computing is a cloud computing model where the cloud provider runs the server and manages the infrastructure. Developers simply write functions that respond to events — like a file being uploaded or a user submitting a form — and the provider takes care of executing the function, scaling it based on demand, and handling all server-related tasks.

Unlike traditional cloud models where developers must set up virtual machines, install software, and manage scaling, serverless removes those responsibilities entirely.

How It Works

Serverless platforms use what are called functions-as-a-service (FaaS). Developers upload small pieces of code (functions) to the cloud platform, and each function is triggered by a specific event. These events could come from HTTP requests, database changes, file uploads, or scheduled timers.

The platform then automatically runs the code in a stateless container, scales the application based on the number of requests, and shuts down the container when it's no longer needed. You only pay for the time the function is running, which can significantly reduce costs.

Popular serverless platforms include AWS Lambda, Google Cloud Functions, Azure Functions, and Firebase Cloud Functions.

Benefits of Serverless Computing

Reduced infrastructure management Developers don’t have to manage or maintain servers. Everything related to infrastructure is handled by the cloud provider.

Automatic scaling Serverless platforms automatically scale the application depending on the demand, whether it's a few requests or thousands.

Cost efficiency Since you only pay for the time your code runs, serverless can be more affordable than always-on servers, especially for applications with variable traffic.

Faster development Serverless enables quicker development and deployment since the focus is on writing code and not on managing environments.

High availability Most serverless platforms ensure high availability and reliability without the need for additional configuration.

About Hexadecimal Software

Hexadecimal Software is a leading software development company specializing in cloud-native solutions, DevOps, and modern backend systems. Our experts help businesses embrace serverless computing to build efficient, scalable, and low-maintenance applications. Whether you’re developing a new application or modernizing an existing one, we can guide you through your cloud journey. Learn more at https://www.hexadecimalsoftware.com

Explore More on Hexahome Blogs

To discover more about cloud computing, DevOps, and modern development practices, visit our blog platform at https://www.blogs.hexahome.in. Our articles are written in a simple, easy-to-understand style to help professionals stay updated with the latest tech trends.

[pallavinovel]

AWS Unlocked: Skills That Open Doors

AWS Demand and Relevance in the Job Market

Amazon Web Services (AWS) continues to dominate the cloud computing space, making AWS skills highly valuable in today’s job market. As more companies migrate to the cloud for scalability, cost-efficiency, and innovation, professionals with AWS expertise are in high demand. From startups to Fortune 500 companies, organizations are seeking cloud architects, developers, and DevOps engineers proficient in AWS.

The relevance of AWS spans across industries—IT, finance, healthcare, and more—highlighting its versatility. Certifications like AWS Certified Solutions Architect or AWS Certified DevOps Engineer serve as strong indicators of proficiency and can significantly boost one’s resume.

According to job portals and market surveys, AWS-related roles often command higher salaries compared to non-cloud positions. As cloud technology continues to evolve, professionals with AWS knowledge remain crucial to digital transformation strategies, making it a smart career investment.

Basic AWS Knowledge

Amazon Web Services (AWS) is a cloud computing platform that provides a wide range of services, including computing power, storage, databases, and networking. Understanding the basics of AWS is essential for anyone entering the tech industry or looking to enhance their IT skills.

At its core, AWS offers services like EC2 (virtual servers), S3 (cloud storage), RDS (managed databases), and VPC (networking). These services help businesses host websites, run applications, manage data, and scale infrastructure without managing physical servers.

Basic AWS knowledge also includes understanding regions and availability zones, how to navigate the AWS Management Console, and using IAM (Identity and Access Management) for secure access control.

Getting started with AWS doesn’t require advanced technical skills. With free-tier access and beginner-friendly certifications like AWS Certified Cloud Practitioner, anyone can begin their cloud journey. This foundational knowledge opens doors to more specialized cloud roles in the future.

AWS Skills Open Up These Career Roles

Cloud Architect Designs and manages an organization's cloud infrastructure using AWS services to ensure scalability, performance, and security.

Solutions Architect Creates technical solutions based on AWS services to meet specific business needs, often involved in client-facing roles.

DevOps Engineer Automates deployment processes using tools like AWS CodePipeline, CloudFormation, and integrates development with operations.

Cloud Developer Builds cloud-native applications using AWS services such as Lambda, API Gateway, and DynamoDB.

SysOps Administrator Handles day-to-day operations of AWS infrastructure, including monitoring, backups, and performance tuning.

Security Specialist Focuses on cloud security, identity management, and compliance using AWS IAM, KMS, and security best practices.

Data Engineer/Analyst Works with AWS tools like Redshift, Glue, and Athena for big data processing and analytics.

AWS Skills You Will Learn

Cloud Computing Fundamentals Understand the basics of cloud models (IaaS, PaaS, SaaS), deployment types, and AWS's place in the market.

AWS Core Services Get hands-on with EC2 (compute), S3 (storage), RDS (databases), and VPC (networking).

IAM & Security Learn how to manage users, roles, and permissions with Identity and Access Management (IAM) for secure access.

Scalability & Load Balancing Use services like Auto Scaling and Elastic Load Balancer to ensure high availability and performance.

Monitoring & Logging Track performance and troubleshoot using tools like Amazon CloudWatch and AWS CloudTrail.

Serverless Computing Build and deploy applications with AWS Lambda, API Gateway, and DynamoDB.

Automation & DevOps Tools Work with AWS CodePipeline, CloudFormation, and Elastic Beanstalk to automate infrastructure and deployments.

Networking & CDN Configure custom networks and deliver content faster using VPC, Route 53, and CloudFront.

Final Thoughts

The AWS Certified Solutions Architect – Associate certification is a powerful step toward building a successful cloud career. It validates your ability to design scalable, reliable, and secure AWS-based solutions—skills that are in high demand across industries.

Whether you're an IT professional looking to upskill or someone transitioning into cloud computing, this certification opens doors to roles like Cloud Architect, Solutions Architect, and DevOps Engineer. With real-world knowledge of AWS core services, architecture best practices, and cost-optimization strategies, you'll be equipped to contribute to cloud projects confidently.

[learning-code-ficusoft]

How to Use AWS CLI: Automate Cloud Management with Command Line

The AWS Command Line Interface (AWS CLI) is a powerful tool that allows developers and system administrators to interact with AWS services directly from the terminal. It provides automation capabilities, improves workflow efficiency, and enables seamless cloud resource management.

Why Use AWS CLI?

Automation: Automate repetitive tasks using scripts.

Efficiency: Manage AWS services without navigating the AWS Management Console.

Speed: Perform bulk operations faster than using the web interface.

Scripting & Integration: Combine AWS CLI commands with scripts for complex workflows.

1. Installing AWS CLI

Windows

Download the AWS CLI installer from AWS official site.

Run the installer and follow the prompts.

Verify installation:

aws --version

macOS

Install using Homebrew:

brew install awscli

Verify installation:

aws --version

Linux

Install using package manager:

curl "https://awscli.amazonaws.com/AWSCLIV2.pkg" -o "awscliv2.pkg" sudo installer -pkg awscliv2.pkg -target /

Verify installation:

aws --version

2. Configuring AWS CLI

After installation, configure AWS CLI with your credentials:aws configure

You’ll be prompted to enter:

AWS Access Key ID

AWS Secret Access Key

Default Region (e.g., us-east-1)

Default Output Format (json, text, or table)

Example:AWS Access Key ID [****************ABCD]: AWS Secret Access Key [****************XYZ]: Default region name [us-east-1]: Default output format [json]:

To verify credentials:aws sts get-caller-identity

3. Common AWS CLI Commands

Managing EC2 Instances

List EC2 instances:

aws ec2 describe-instances

Start an instance:

aws ec2 start-instances --instance-ids i-1234567890abcdef0

Stop an instance:

aws ec2 stop-instances --instance-ids i-1234567890abcdef0

S3 Bucket Operations

List all S3 buckets:

aws s3 ls

Create a new S3 bucket:

aws s3 mb s3://my-new-bucket

Upload a file to a bucket:

aws s3 cp myfile.txt s3://my-new-bucket/

Download a file from a bucket:

aws s3 cp s3://my-new-bucket/myfile.txt .

IAM User Management

List IAM users:

aws iam list-users

Create a new IAM user:

aws iam create-user --user-name newuser

Attach a policy to a user:

aws iam attach-user-policy --user-name newuser --policy-arn arn:aws:iam::aws:policy/AmazonS3ReadOnlyAccess

Lambda Function Management

List Lambda functions:

aws lambda list-functions

Invoke a Lambda function:

aws lambda invoke --function-name my-function output.json

CloudFormation Deployment

Deploy a stack:

aws cloudformation deploy --stack-name my-stack --template-file template.yaml

Delete a stack:

aws cloudformation delete-stack --stack-name my-stack

4. Automating Tasks with AWS CLI and Bash Scripts

AWS CLI allows users to automate workflows using scripts. Below is an example script to start and stop EC2 instances at scheduled intervals:#!/bin/bash INSTANCE_ID="i-1234567890abcdef0"# Start instance aws ec2 start-instances --instance-ids $INSTANCE_IDecho "EC2 Instance $INSTANCE_ID started."# Wait 60 seconds before stopping sleep 60# Stop instance aws ec2 stop-instances --instance-ids $INSTANCE_IDecho "EC2 Instance $INSTANCE_ID stopped."

Make the script executable:chmod +x manage_ec2.sh

Run the script:./manage_ec2.sh

5. Best Practices for AWS CLI Usage

Use IAM Roles: Avoid storing AWS credentials locally. Use IAM roles for security.

Enable MFA: Add Multi-Factor Authentication for additional security.

Rotate Access Keys Regularly: If using access keys, rotate them periodically.

Use Named Profiles: Manage multiple AWS accounts efficiently using profiles.

aws configure --profile my-profile

Log Command Outputs: Store logs for debugging and monitoring purposes.

aws s3 ls > s3_log.txt

Final Thoughts

AWS CLI is a powerful tool that enhances productivity by automating cloud operations. Whether you’re managing EC2 instances, deploying Lambda functions, or securing IAM users, AWS CLI simplifies interactions with AWS services.

By following best practices and leveraging automation, you can optimize your cloud management and improve efficiency. Start experimenting with AWS CLI today and take full control of your AWS environment!

WEBSITE: https://www.ficusoft.in/aws-training-in-chennai/