AWS Cost Optimization While Achieving Your Desired Business and Technical Objectives
Although cloud cost optimization procedures are targeted at cutting down cloud expenses, it is however not expected to compromise the quality of resource operations. Hence, the overall goal of cloud cost optimization is to ensure that business and technical goals or objectives are attained and sustained through cost-efficiency.
As organizations migrate their workloads to public cloud infrastructures such as AWS, it is important that they maintain their business and technical objectives at no extra budget-straining cost. However, this is quite difficult when in-house teams don’t have the time or expertise to monitor and optimally manage cloud resources in relation to costs and performance.
As an AWS Partner, Cloudplexo can ensure that such organizations seamlessly and continuously leverage AWS scalability, performance and cost optimization opportunities while maintaining their ongoing business and technical objectives. To leverage AWS cost optimization opportunities, the following processes are essential, backed by combinations of AWS native tools and advanced solutions provided by Cloudplexo.
Dependency Mapping and Analysis
Taking Inventory of all software assets on your cloud environment is the first step to gaining control and understanding the cost and operational effects of all applications. Using advanced management tools such as Cloudplexo, the established inventory can be analyzed to gain clearer visibility on performance, security to further map and assess dependent applications or services.
AWS Best Practices
AWS provides cloud management recommendations that are considered as the 5 pillars of best practices. Delivered through the AWS Well-Architected platform on Cloudplexo, these recommendations are being provided to help cloud architects build secure, high-performing, resilient, and efficient infrastructure for their applications and workloads which will lead to cost optimization.
Workload Rightsizing
Workload rightsizing involves matching organization’s applications with the allotted resources or instance type. This will ensure that cloud users are not wasting money due to over-provisioning or placing performance at risk due to under-provisioning of resources. For autonomous management, AI-powered solutions such as Cloudplexo further provide factored recommendations such as reservation of EC2 instances which can result in huge savings when compared to OnDemand pricing.
Automated Resource Scheduling
Non-production resources including those for development or staging environment can build up cloud bills when they are not in use. Hence, it is essential to schedule their availability or active modes only to peak or needed periods, using flexible automated tools as provided for AWS workloads through Cloudplexo.
Distributed Disaster Management
Disaster management is significantly easier and precise on cloud-native applications due to its distributed nature enabled by containerization.
Intelligent Forecasting
As the organization plans for its business or technical expansion, smart cost management platforms can make the cloud cost budget or forecast to be realistic and data-driven, enabling teams to easily take decisions.