Shulou(Shulou.com)06/03 Report--

How to improve cloud computing performance? As more and more enterprises migrate their business to the cloud, China's cloud computing market has been further developed. Many enterprises are committed to the pursuit of better application performance, but it is not easy to implement, but we can improve the performance of enterprise cloud applications through appropriate services and design. Here are some good ways to improve cloud computing performance.

1. Implement automatic extension service

Organizations must implement an appropriate set of rules to determine when and how to scale and improve cloud computing performance. In many cases, the monitoring service tracks load characteristics, such as average vCPU utilization. When a workload exceeds a defined utilization threshold, a monitoring alert triggers an automatic extension service that follows a predefined schedule to add resources and set load balancing preferences. When the load falls below a certain threshold, the auto-extension service can reverse the process and withdraw unwanted resources.

2. Select the appropriate instance

Cloud computing providers offer many instance types, many of which have a unique combination of vCPU, memory, storage, and networking. These virtual machines can be customized for specific tasks. For example, AWS's EC2 A1 instance is suitable for scale-out and ARM workloads. On the other hand, M4 instances balance the resources of different applications, and there are some cloud computing instances optimized for computing-intensive workloads, memory-intensive applications, artificial intelligence, and so on. These make it necessary for organizations to choose the right options.

3. Adopt micro-service architecture

Microservices decompose applications into a series of interrelated programs that are deployed, operated, and extended separately. These stand-alone services work together through API to provide the features and functionality of the application. Therefore, when a service imposes a tax on its performance, only that service needs to be extended to a large extent. It can be a faster and more resource-efficient way to manage modern applications.

4. Implement caching service

A cache is a copy of frequently accessed data placed in storage as fast as possible, located as close to the application as possible. Applications can use cached information to perform tasks involving data faster than using regular storage waiting data. The caching services available in the cloud include Azure Cache for Redis, Amazon ElastiCache, and Google App Engine Memcache. Application developers need to plan how to update the cache content to ensure continuity between the principal data store and the cache. Cloud computing providers provide a wealth of documentation and reference architecture to help complete the design process.

5. Select monitoring service

Even if monitoring has no direct impact on workload performance, these services are key elements of many deployments in the public cloud. Monitoring is an objective way to track performance metrics, provides the basis for service decisions such as automatic expansion, and helps organizations ensure the results of their cloud computing investments. Public cloud providers provide a variety of monitoring services, including Amazon CloudWatch, GCP Stackdriver Monitoring, and Azure Monitor.

6. Adopt an event-driven architecture

Serverless computing has attracted a lot of attention from developers, and event-driven architectures can run on serverless cloud computing services such as AWS Lambda,Azure Functions and Google Cloud Functions. Although few applications are entirely event-driven, developers can use capabilities to create efficient responses to actual and software-based events, such as Internet of things data streams. Therefore, because there are no server components, the entire software application can be smaller, simpler, and better optimized for performance.

With the advantages of flexible configuration, high resource utilization and cost saving, China's cloud computing market has developed rapidly. The analysis predicts that the cloud computing market will maintain a growth level of at least 30% in the next 4 to 5 years, and the size of the cloud computing market will reach at least about 686.6 billion yuan by 2020. If you want to join this promising industry, now is a good time.

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