Expert Assignment Solutions with 100% Guaranteed Success
Get Guaranteed success with our Top Notch Qualified Team ! Our Experts provide clear, step-by-step solutions and personalized tutoring to make sure you pass every course with good grades. We’re here for you 24/7, making sure you get desired results !
We Are The Most Trusted
Helping Students Ace Their Assignments & Exams with 100% Guaranteed Results
Featured Assignments
Deploying a Scalable Web Application on AWS Using EC2, Load Balancer, and Auto Scaling
Cloud Computing & AWSClient Requirements
The student wanted to understand and demonstrate how to host and scale a web application on AWS infrastructure, specifically using EC2 instances behind a Load Balancer, with Auto Scaling Groups that respond to variable traffic loads. The project also required custom domain routing via Route 53.
Challenges Faced
We ensured the entire AWS ecosystem was correctly configured, but faced complications with AMI management, launch template versions, and achieving zero-downtime during scaling. Managing inbound rules for security groups while maintaining access flow also needed careful handling.
Our Solution
We implemented an EC2-based Node.js web app using a custom AMI, set up an Application Load Balancer with HTTPS, and configured scaling policies based on CPU utilization. CloudWatch monitored resource metrics, and DNS routing was managed through Route 53. The app scaled up/down based on real traffic simulation.
Results Achieved
A highly available, resilient infrastructure that could automatically scale under load and maintain uptime. The student gained practical exposure to core AWS services and architectural decisions.
Client Review
I had a smooth and enriching experience with Assignment CC.101. The deployment was rock solid — traffic spikes were handled like a pro system. Everything was connected properly from EC2 to Load Balancer and DNS. Honestly, this felt like something a startup could actually use!
Cloud-Based Identity & Access Management for Multi-Tier App
Cloud Security & IAMClient Requirements
The student wanted to simulate a multi-tier cloud application with role-based access control, showing how various team members (developer, admin, QA) would get limited, secure access to cloud resources. The task involved setting up and documenting IAM policies and permissions across the system.
Challenges Faced
We ensured each identity had least-privilege access, but faced difficulties in policy creation that balanced security with usability. Defining and attaching the right managed vs. inline policies across different services like S3, EC2, and Lambda required multiple validations.
Our Solution
We designed three personas (Admin, Developer, QA), each with precise IAM roles, groups, and policies. Permissions were tested via simulated role-switching and AWS CLI-based access attempts. We also enabled MFA for elevated access and documented the security strategy in detail.
Results Achieved
A clear, secure, and well-documented access control structure replicable in real-world development teams. The student demonstrated understanding of IAM depth and cloud security best practices.
Client Review
Assignment CC.202 turned out incredibly detailed and realistic. The way roles were set, tested, and explained made cloud IAM finally make sense. Everything was professionally structured, and I really appreciated how securely it all functioned. A 10/10 experience!
Building a Serverless REST API Using AWS Lambda, API Gateway, and DynamoDB
Serverless ComputingClient Requirements
The student wanted to build a fully serverless backend — a RESTful API capable of handling user operations (add, view, delete) — without managing any servers. They emphasized using Lambda, API Gateway, and DynamoDB with proper input validation and monitoring.
Challenges Faced
We ensured the serverless architecture was robust, but coordinating event triggers, mapping API Gateway routes to specific Lambda functions, and handling CORS preflight issues required close debugging. Error handling in asynchronous functions also needed improvement.
Our Solution
We created a REST API using API Gateway, routed to individual Lambda functions written in Node.js, each interacting with a DynamoDB table. JSON schema validation was applied to input, and logging was implemented via CloudWatch. We also deployed everything using AWS SAM templates.
Results Achieved
A lightweight, scalable, and cost-efficient API backend with zero infrastructure maintenance. It performed flawlessly on test events, making it ideal for microservice-style apps.
Client Review
I was totally amazed by Assignment CC.303. Every endpoint worked perfectly, and the fact that no server was involved — just pure cloud magic — was so cool. This was hands down one of the most technically polished projects I’ve submitted!
Automated CI/CD Pipeline for Cloud Deployment Using GitHub Actions and AWS S3 + CloudFront
DevOps & Cloud DeploymentClient Requirements
The student wanted to automate the deployment of a static frontend app (like React or Vue) to AWS S3, with CloudFront CDN, using CI/CD pipelines. They were focused on learning how commits trigger build and deploy workflows, cache invalidation, and secure key handling.
Challenges Faced
We ensured the project repository was properly structured for CI/CD, but ran into complications handling GitHub Secrets, setting up IAM roles for access, and ensuring the CloudFront cache was purged post-deployment. Mapping the build artifacts to the right S3 structure also required care.
Our Solution
We configured a .yml pipeline using GitHub Actions that triggered on main branch pushes, built the React app, deployed it to S3 using the AWS CLI, and invalidated CloudFront cache. Secrets were encrypted and stored in GitHub, and the whole setup was modular and reusable.
Results Achieved
An end-to-end automated cloud deployment pipeline with instant frontend updates on push. The student learned real DevOps workflows and cloud delivery techniques.
Client Review
CC.404 was a game-changer for me. Seeing my code deploy instantly to S3 and refresh live with CloudFront was next-level. Everything was done so cleanly — the CI/CD process worked like a charm. Truly felt like real-world cloud engineering!