Cost Optimization Pillar AWS Well-Architected Framework
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Cost Optimization Pillar AWS Well-Architected Framework.
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Abstract.
This whitepaper focuses on the cost optimization pillar of the Amazon Web Services (AWS) Well- Architected Framework.
It provides guidance to help customers apply best practices in the design, delivery, and maintenance of AWS environments.
A cost-optimized workload fully utilizes all resources, achieves an outcome at the lowest possible price point, and meets your functional requirements.
This whitepaper provides in-depth guidance for building capability within your organization, designing your workload, selecting your services, configuring and operating the services, and applying cost optimization techniques.
Introduction.
The AWS Well-Architected Framework helps you understand the decisions you make while building workloads on AWS.
The Framework provides architectural best practices for designing and operating reliable, secure, efficient, and cost-effective workloads in the cloud.
It demonstrates a way to consistently measure your architectures against best practices and identify areas for improvement.
We believe that having well-architected workloads greatly increases the likelihood of business success.
The framework is based on five pillars:
Operational Excellence
Security
Reliability
Performance Efficiency
Cost Optimization
This paper focuses on the cost optimization pillar, and how to architect workloads with the most effective use of services and resources, to achieve business outcomes at the lowest price point.
You’ll learn how to apply the best practices of the cost optimization pillar within your organization.
Cost optimization can be challenging in traditional on-premises solutions because you must predict future capacity and business needs while navigating complex procurement processes.
Adopting the practices in this paper will help your organization achieve the following goals:
Practice Cloud Financial Management
Expenditure and usage awareness
Cost effective resources
Manage demand and supply resources
Optimize over time