Well-Architected Cloud Solutions

INTRODUCTION

The Well-Architected Framework describes the design principles and architectural best practices for designing and running your workloads in the cloud. It enables you to build a secure, high-performing, flexible, and efficient infrastructure for your cloud environment and applications.

The Well-Architected Framework provides a consistent approach to evaluate architectures, and implement designs that scale with application needs over time based on five distinct pillars, each designed to help you tackle a specific aspect of your cloud environment.

Operational Excellence

Running and monitoring systems effectively and efficiently to deliver business value and continually improve processes and procedures

Security
 

Protecting assets, systems, and information to deliver business value through risk assessment and mitigation strategies.

Reliability
 

Automating and dynamically acquiring computing resources to meet demand and recover from infrastructure or service disruptions.

Performance Efficiency

Tuning cloud infrastructure using computing resources efficiently to meet system requirements as demand and technology evolve.

Cost Optimization

Eliminating unneeded cost by right-sizing, auto-scaling, FinOps monitoring and alerting. 

OUR SERVICES

QloudX, with our deep expertise in Well-Architected Frameworks and cloud certified professionals, is here to help

Architect your cloud workloads to the best practices
Optimize your monthly cloud spend and manage budgets
Protect your cloud environment from security threats
Well-Architected Reviews

Well-Architected Reviews to obtain actionable insight into your cloud infrastructure security, reliability, and performance, as well as your cloud operations and cloud spend.

Build Well-Architected Applications

Build, migrate, and optimize architectures for secure, high-performing, reliable, and efficient applications.

Well-Architected Pillars

OUR ASSESSMENT

We audit your cloud environment against a set of defined Best Practices to help assess a business-critical workload against the five pillars of the Well-Architected Framework. Some of the key areas covered are listed below.

Securing and managing Account and deployment, VPC, and Network configuration, Security Group deployment, IAM roles, and policies aligned to the cloud best practice.

Securing your cloud servers Operating Systems and Applications to reduce the attack surface or avenues of infiltration by external threats.

Optimize cost by analyzing the workload, managing the demand, and supplying resources when needed, thus eliminating the need for costly and wasteful over-provisioning.

Achieve and maintain performance efficiency by taking a data-driven approach to building a high-performance architecture and actively considering access patterns and trade-offs that will allow optimization for higher performance.

Security scanning in real-time; including cloud native services. Automate manual security tasks so you can shift your focus to scaling and innovating your business

Ensuring you have the appropriate disaster recovery plan and procedures for a quick response and recovery if the worst happens.

CASE STUDIES

QloudX has helped its customers reduce over 15% to 25% of their costs without compromising the performance efficiency and achieve higher reliability without any other impact on operation and security by following the Well-Architected best practices.

CASE STUDY I:

iPaaS – ENTERPRISE INTEGRATION HUB

A 100-year old retail brand was required to integrate data from multiple sources such as Mobile applications, HRMS, Salesforce Demandware, Order Management System, and SAP ERP. This customer wanted to see if iPaaS solutions such as Dell Boomi fit their needs or if they could achieve similar results at a lower cost.

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Indicative Architecture

CASE STUDY II:

Cloud native, IoT and Machine Learning solution for Mobile Application

For a start-up customer, we designed and developed an event-driven cloud native solution which processed data generated by up to 20 million IoT devices. This data was used to train a machine learning model, in order to pinpoint scheduling deviations and predict associated order fulfillment deviations. On top of this, the solution automatically rated vendors based on past performance and behavioral monitoring.

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A Systems plus Group Company
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