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Usama M.

@CloudwithUsama

monthly-level-three.svg
5.0
10
2.9
2.9
100%

AWS / AZURE / GCP | DevOps | Deploy | Migration

$10 USD / 時間
・
のフラグ
Pakistan (9:18 午前)
・
登録日: 12月 5, 2022
$10 USD / 時間
・
AWS Expert - EC2, RDS, AWS CodeBuild, AWS CodeCommit, AWS CodeDeploy, AWS CodePipeline, AWS EKS, AWS OpsWork, AWS LightSail, Load Balancing, Auto Scale, S3, Cloudfront, VPC, Route53, Workspaces, Workmail, Codedeploy, costs optimization. Amazon Web Services - environment configuration, migrations, infrastructure analyzing, and optimization. Cloudflare configuration. Server performance optimization - Apache, Nginx, Varnish, Mysql/MariaDB, php-fpm. Shopify - Development, performance optimization, migrations, theme customization, Payment integration, store creation and multi vendor stores. Prestashop - AWS deployment, nginx configuration. Server and configuration optimization, security and speed up. Prestashop to WooCommerce migrations. Magento - security, migrations, environment configuration, performance optimization. Installation, configuration, performance optimization. Dedicated Servers and VPS setup, configuration, and security - both Windows and Linux. Work with CentOS, Ubuntu, Debian, Amazon Linux, FreeBSD, Windows 2003/2008/2012/2016 Servers. Server administration Panels, setup and configure - Plesk, DirectAdmin, WHM, Cpanel, Webmin, WHMCS, VestaCP, CWP. MySQL, MSSQL, Apache, IIS - setup, configuration, optimize for performance.
確認
期限内
100%
予算内
100%
承諾率
91%
Freelancer Amazon Web Services Experts Pakistan
全て見る Amazon Web Services Experts 、 Pakistan

ポートフォリオ

ポートフォリオ

12435957
Client Problem Statement An insurance company struggles with managing large volumes of policy and claim data arriving in various formats, such as nested, flat, tabular, and relational. Consolidating, cleansing, and analyzing this data is time-consuming and error-prone due to manual processes, which do not scale with increasing data volumes. The company lacks a unified platform to automate data workflows, ensure data quality, and extract actionable insights through advanced analytics and reporting. Solution Overview The proposed solution is a scalable, automated data lake architecture on AWS, designed to handle the entire data lifecycle—from ingestion to transformation, storage, and analysis. Leveraging AWS services, this solution consolidates disparate data formats, automates workflows, ensures data quality, and enables advanced analytics. This architecture reduces operational overhead, scales efficiently, and provides actionable insights for informed decision-making. Solution Capabi
Modern Insurance Data Lakes on AWS
12435941
Disaster Recovery Implementation on AWS Overview: A financial investment firm with critical applications required a modern disaster recovery (DR) solution. Their existing on-premises DR setup was costly, slow to restore services, and posed a risk of significant financial losses due to unplanned downtime. Problem: Outdated DR Solution: Expensive and slow to restore. High Financial Risk: Unplanned downtime threatened large financial losses. Lack of Automation: Manual failover processes increased recovery time. Solution Approach: We designed a cost-effective, automated DR solution using AWS services: Route 53: Automated DNS failover. S3: Data replication and backups. EC2 & Auto Scaling: Scalable compute resources for the DR region. RDS Multi-AZ: High availability for databases. CloudFormation: Infrastructure automation. AWS Backup: Centralized, automated backups. CloudEndure Disaster Recovery: Real-time block-level replication for near-zero RPO. Implementation: Data Replication:
Disaster Recovery Setup on AWS
12435915
DevOps & Solution Architecture Challenge: Mustafa Corporation’s on-premises infrastructure faced capacity limitations, leading to performance bottlenecks and higher operational costs. The setup lacked scalability, required significant manual intervention, and offered limited monitoring capabilities. To meet growing demands, the company needed a cloud infrastructure that could handle variable workloads, ensure high availability, and improve scalability. Solution: To modernize Mustafa Corporation’s infrastructure, a lift-and-shift migration strategy was implemented using AWS services: EC2 for scalable compute resources. S3 for storing static content and backups. ELB for distributing traffic and ensuring high availability. Auto Scaling for automatically adjusting EC2 instances based on demand. CloudWatch for real-time monitoring and alerting. Implementation: Assessment: Evaluated the existing infrastructure and application requirements. Migration: Deployed EC2 instances, configured
Lift & Shift Application on AWS
12435786
DevOps & Solution Architecture This solution leverages AWS infrastructure to build a scalable, secure, and high-performing architecture for an enterprise-grade e-commerce platform. The proposed system addresses performance bottlenecks, scalability issues, and security vulnerabilities while ensuring operational efficiency and a seamless user experience. Problem Statement The e-commerce platform experienced challenges as its customer base expanded globally: 1. Performance Bottlenecks: Slow response times, particularly for users far from the server's physical location. 2. Scalability Challenges: Traffic spikes during peak shopping periods caused server crashes and lost sales. 3. Security Vulnerabilities: Frequent DDoS attacks and web application exploits exposed the platform's weak security infrastructure. 4. Lack of Monitoring: Absence of real-time monitoring made it difficult to detect and resolve issues. Objective The solution aims to: 1. Optimize Global Performance: Deliver
Optimizing E-Commerce App with AWS
12435740
DevOps & Solution Architecture for Serverless WordPress Hosting The client required a cost-effective alternative to AWS for serverless WordPress hosting. They prioritized a pay-as-you-go model to reduce costs while maintaining performance, scalability, and security. A key requirement was to store all WordPress files, including core files and media, in Cloudflare R2 buckets to avoid the high costs of separate storage volumes. Challenges 1. Cost Constraints: The client needed a solution that minimized storage and hosting costs without compromising performance. 2. Performance Issues: Serving all files from Cloudflare R2 caused slow response times under heavy traffic. 3. Limited Budget: Dedicated storage volumes were not feasible due to cost restrictions. Solution The team designed a serverless architecture on DigitalOcean, integrating Cloudflare R2 for cost-effective storage and a custom NFS HA cluster for performance optimization. Key components included: 1. API Develop
Serverless WordPress Hosting on DO
12435647
Serverless Microservice Solution for Genergy Genergy.com specializes in AI-powered energy management, providing sub-metering and utility management solutions to property owners and managers. Their platform centralizes utilities like electricity, gas, water, and steam, enabling cost reduction, sustainability, and real-time insights for tenants. However, their existing infrastructure struggled to scale with growing demand, delaying data processing, and increasing operational inefficiencies. Challenges: Genergy faced five key issues: 1. Scalability: Increasing properties and meters overwhelmed their infrastructure, leading to delays in data processing and optimization. 2. Real-Time Processing: Slow infrastructure hindered real-time reporting and immediate tenant feedback. 3. Billing Complexity: Manual invoicing processes were error-prone and time-intensive, delaying payments and increasing administrative overhead. 4. Rigid Architecture: Their monolithic setup made scaling and implement
Serverless Utility Management
12435957
Client Problem Statement An insurance company struggles with managing large volumes of policy and claim data arriving in various formats, such as nested, flat, tabular, and relational. Consolidating, cleansing, and analyzing this data is time-consuming and error-prone due to manual processes, which do not scale with increasing data volumes. The company lacks a unified platform to automate data workflows, ensure data quality, and extract actionable insights through advanced analytics and reporting. Solution Overview The proposed solution is a scalable, automated data lake architecture on AWS, designed to handle the entire data lifecycle—from ingestion to transformation, storage, and analysis. Leveraging AWS services, this solution consolidates disparate data formats, automates workflows, ensures data quality, and enables advanced analytics. This architecture reduces operational overhead, scales efficiently, and provides actionable insights for informed decision-making. Solution Capabi
Modern Insurance Data Lakes on AWS
12435941
Disaster Recovery Implementation on AWS Overview: A financial investment firm with critical applications required a modern disaster recovery (DR) solution. Their existing on-premises DR setup was costly, slow to restore services, and posed a risk of significant financial losses due to unplanned downtime. Problem: Outdated DR Solution: Expensive and slow to restore. High Financial Risk: Unplanned downtime threatened large financial losses. Lack of Automation: Manual failover processes increased recovery time. Solution Approach: We designed a cost-effective, automated DR solution using AWS services: Route 53: Automated DNS failover. S3: Data replication and backups. EC2 & Auto Scaling: Scalable compute resources for the DR region. RDS Multi-AZ: High availability for databases. CloudFormation: Infrastructure automation. AWS Backup: Centralized, automated backups. CloudEndure Disaster Recovery: Real-time block-level replication for near-zero RPO. Implementation: Data Replication:
Disaster Recovery Setup on AWS
12435915
DevOps & Solution Architecture Challenge: Mustafa Corporation’s on-premises infrastructure faced capacity limitations, leading to performance bottlenecks and higher operational costs. The setup lacked scalability, required significant manual intervention, and offered limited monitoring capabilities. To meet growing demands, the company needed a cloud infrastructure that could handle variable workloads, ensure high availability, and improve scalability. Solution: To modernize Mustafa Corporation’s infrastructure, a lift-and-shift migration strategy was implemented using AWS services: EC2 for scalable compute resources. S3 for storing static content and backups. ELB for distributing traffic and ensuring high availability. Auto Scaling for automatically adjusting EC2 instances based on demand. CloudWatch for real-time monitoring and alerting. Implementation: Assessment: Evaluated the existing infrastructure and application requirements. Migration: Deployed EC2 instances, configured
Lift & Shift Application on AWS
12435786
DevOps & Solution Architecture This solution leverages AWS infrastructure to build a scalable, secure, and high-performing architecture for an enterprise-grade e-commerce platform. The proposed system addresses performance bottlenecks, scalability issues, and security vulnerabilities while ensuring operational efficiency and a seamless user experience. Problem Statement The e-commerce platform experienced challenges as its customer base expanded globally: 1. Performance Bottlenecks: Slow response times, particularly for users far from the server's physical location. 2. Scalability Challenges: Traffic spikes during peak shopping periods caused server crashes and lost sales. 3. Security Vulnerabilities: Frequent DDoS attacks and web application exploits exposed the platform's weak security infrastructure. 4. Lack of Monitoring: Absence of real-time monitoring made it difficult to detect and resolve issues. Objective The solution aims to: 1. Optimize Global Performance: Deliver
Optimizing E-Commerce App with AWS
12435740
DevOps & Solution Architecture for Serverless WordPress Hosting The client required a cost-effective alternative to AWS for serverless WordPress hosting. They prioritized a pay-as-you-go model to reduce costs while maintaining performance, scalability, and security. A key requirement was to store all WordPress files, including core files and media, in Cloudflare R2 buckets to avoid the high costs of separate storage volumes. Challenges 1. Cost Constraints: The client needed a solution that minimized storage and hosting costs without compromising performance. 2. Performance Issues: Serving all files from Cloudflare R2 caused slow response times under heavy traffic. 3. Limited Budget: Dedicated storage volumes were not feasible due to cost restrictions. Solution The team designed a serverless architecture on DigitalOcean, integrating Cloudflare R2 for cost-effective storage and a custom NFS HA cluster for performance optimization. Key components included: 1. API Develop
Serverless WordPress Hosting on DO
12435647
Serverless Microservice Solution for Genergy Genergy.com specializes in AI-powered energy management, providing sub-metering and utility management solutions to property owners and managers. Their platform centralizes utilities like electricity, gas, water, and steam, enabling cost reduction, sustainability, and real-time insights for tenants. However, their existing infrastructure struggled to scale with growing demand, delaying data processing, and increasing operational inefficiencies. Challenges: Genergy faced five key issues: 1. Scalability: Increasing properties and meters overwhelmed their infrastructure, leading to delays in data processing and optimization. 2. Real-Time Processing: Slow infrastructure hindered real-time reporting and immediate tenant feedback. 3. Billing Complexity: Manual invoicing processes were error-prone and time-intensive, delaying payments and increasing administrative overhead. 4. Rigid Architecture: Their monolithic setup made scaling and implement
Serverless Utility Management
変更を保存しました
5.0 · 10 Reviews
レビュー
ユーザーアバター
Server Person 2 Small Tasks (10 minute work) • $45 USD
Great work. Thanks ?
Stephen K.
@Stevok
•
のフラグ
Princess Anne, United States
•
2年前
共有
ユーザーアバター
Host wordpress site with plugins on AWS EC2. Should be very experienced • ₹300 INR
Perfect work done. Usama has a good grasp of AWS. I would Highly Recommend him for any AWS based task you're struggling with. He solved my task within 15 mins for which I was struggling for so many hours.
Gunit B.
@GBDevelopments
•
のフラグ
Karnal, India
•
2年前
共有
ユーザーアバター
Project for Usama M. • ₹1,605 INR
We had a time conflict on working on tasks otherwise its all good.
Prem S.
@premsubudhi
•
のフラグ
Hyderabad, India
•
2年前
共有
S
I need a DevOps expert • £135 GBP
Highly recommend this freelancer! He's responsible for your project and teach you in detail. Always be on time. He will also share how to do each step by showing them on the Google meet, unlike some freelancers just simply give you low quality code and couldn't explain anything. In sum up, it was a really great experience working with him :)
Closed User
@Spanner102316
•
のフラグ
,
•
2年前
共有
S
Make a local backup of all the data stored in Amazon Web Services. • €30 EUR
Muy atento con todas nuestras peticiones. Trabajo realizado con exito.
Sergio A.
@sandro11
•
のフラグ
Barcelona, Spain
•
2年前
共有
経験
Lead DevOps Engineer
7月, 2018 - 現在
•
6 , 5
GoCloud PVT LTD
7月, 2018 - 現在
•
6 , 5
• Recognize the current application infrastructure and suggest new concepts to improve performance • Produce reusable, efficient, and scalable programs, and also cost-effective migration strategies • Implement the application’s CI/CD pipeline using the AWS • CI/CD stack. Develop different AWS services, including API, RDS instance, and Lambda to build server-less applications • Migrate web applications to AWS
7月, 2018 - 現在
•
6 , 5
学歴
Bahauddin Zakariya University
2018 - 2022
•
4
Bachelor's in computer science
のフラグ
Pakistan
2018 - 2022
•
4
スキル
AWS DevOps Professional
2024
Amazon Web Services
I'm certified AWS DevOps Professional
2024
AWS solutions architect associate
2022
AWS
AWS solutions architect associate
2022
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