There are five design principles for Performance Efficiency in the cloud:
✅ 1. Democratize advanced technologies: Technologies that are difficult to implementcan become easier to consume by pushing that knowledge and complexity into the cloud vendor’s domain. Rather than having your IT team learn how to host and run a new technology, they can simply consume it as a service. For example, NoSQL databases, media transcoding, and machine learning are all technologies that require expertise that is not evenly dispersed across the technical community. In the cloud, these technologies become services that your team can consume while focusing on product development rather than resource provisioning and management.
✅ 2. Go global in minutes: Easily deploy your system in multiple Regions around the world with just a few clicks. This allows you to provide lower latency and a better experience for your customers at minimal cost.
✅ 3. Use serverless architectures: In the cloud, serverless architectures remove the need for you to run and maintain servers to carry out traditional compute activities. For example, storage services can act as static websites, removing the need for web servers, and event services can host your code for you. This not only removes the operational burden of managing these servers, but also can lower transactional costs because these managed services operate at cloud scale.
✅ 4. Experiment more often: With virtual and automatable resources, you can quickly carry out comparative testing using different types of instances, storage, or configurations.
✅ 5. Mechanical sympathy: Use the technology approach that aligns best to what you are trying to achieve. For example, consider data access patterns when selecting database or storage approaches.