• Performance Efficiency

Focus on the efficient use of computing resources to meet requirements, and learn how to maintain that efficiency as demand changes and technologies evolve. Best-practice architecting for performance efficiency on the cloud.

  • Design Principles for Performance Efficiency

In the cloud, there are a number of principles that help achieve performance efficiency:

  • Democratize Advanced Technologies
    Technologies that are difficult to implement become easier to consume by pushing that knowledge and complexity into the cloud vendor’s domain. Rather than having the IT team learn how to host and run a new technology, they 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 available for the engineering team. This lets the team focus on product development rather than resource provisioning and management.

  • Go Global in Minutes
    Easily deploy any complex system in multiple cloud regions around the world with just a few clicks. This allows users to provide lower latency and a better experience for customers at minimal cost.

  • Use Serverless Architectures
    In the cloud, serverless architectures remove the need to run and maintain servers to carry out traditional compute activities. For example, storage services also act as static websites, removing the need for web servers, and event services also host the code. This removes the operational burden of managing these servers and lowers transactional costs because these managed services operate at cloud scale.

  • Experiment more often
    Quickly carry out comparative testing with virtual and automatable resources, using different types of instances, storage, or configurations.

  • Mechanical Sympathy
    Use the technology approach that aligns best to what is being achieved. For example, consider data access patterns when selecting database or storage approaches.

Performance efficiency in the cloud is composed of four areas:

Take a data-driven approach to building a high-performance architecture. Gather data on all aspects of the architecture, from the high-level design to the selection and configuration of resource types. Reviewing architectural choices on a regular basis ensures that the continually-evolving cloud services are being used correctly. Monitoring will also ensure awareness of any deviance from expected performance so action can be taken on it. Finally, make trade-offs in the architecture decisions to improve performance, e.g. using compression or caching, or relaxing consistency requirements.

Achieving and maintaining performance efficiency requires a data-driven approach. Actively consider access patterns and trade-offs that will allow optimization for higher performance. Using a review process based on benchmarks and load tests will allow users to select the appropriate resource types and configurations. Treating infrastructure as code with Devek will enable users to rapidly and safely evolve its components, while using data to make fact-based decisions about the architecture. Putting in place a combination of active and passive monitoring will ensure that the performance of the architecture does not degrade over time.

Devek strives to help build architectures that have performance efficiency while delivering business value. To make these architectures truly perform, use the tools and techniques offered by Devek.

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