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The following is a compilation of 4 best cloud computing certification in 2020, I hope to help you want to become a cloud computing architect.

In this platform, you can learn cloud computing basic course and get cloud certificate by watch online videos to support your goal that become an cloud architect.

Learn about cloud computing knowledge and get the authority cloud certification from passing exams of the online course by watching these videos.

Due to the large number of plugins, it is difficult to choose some suitable Jenkins plugins. This article introduces some useful Jenkins plugins, which can improve the efficiency of developers.

If you want to be a DevOps engineer, you are in the right place. In this article, I will share the best online training courses to make you a DevOps professional.

The author of this article briefly outlines the advantages of the DevOps concept and two principles: automation and quantification.

Alibaba Cloud DevOps-Special certification based on CodePipeline mainly involves software life cycle, software project management, agile development, basic architecture and operational practices.

With the rise of technologies such as containers and Kubernetes, the concept of DevOps has been widely mentioned and used. This article will let readers really understand the meaning of DevOps.

Docker and DevOps: Develop stateful applications and deploy them in Docker. Containerization is a technology that makes DevOps practices easier to follow.

This article follows the first content about devops docker and containerization, and it introduces the details about the relationship between containerization and docker.

Although DevOps and SRE are now extremely popular. I found that there are still some misunderstandings about these two positions, so I organized some of my insights into articles for your reference.

DevOps and SRE seem to be two sides of the same coin. They all aim to bridge the gap between the development team and the operation and maintenance team, and improve the efficiency of software deployment.

RDD is the most important abstract concept provided by Spark.This article introduces the properties of spark RDD

RDD caching is an important feature of Spark and one of the reasons why Spark is fast.

This section will introduce what is the RDD cache, the RDD cache strategy, the difference between the cache() and persist() methods in Spark, and how to delete the cache.

Apache Spark is a fast and universal computing engine designed for large-scale data processing. Here introduces the spark cache cleaning mechanism.

Spark is reading in memory, which is much faster than hadoop. This article introduces Spark caching and debugging.

The core of Spark is built on a unified abstract elastic distributed data set RDD, here describes RDD caching and persistence.

The core of Spark is built on a unified abstract elastic distributed data set RDD, this article introduces the RDD cache model for spark performance tuning.

The core of Spark is built on a unified abstract elastic distributed data set RDD. But do you need to cache RDD if using it multiple times?