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DevOps is considered to be a combination of developers and operations. DevOps has several stages, and a set of tools for automating each stage.

Alibaba Cloud Academy officially released Alibaba Cloud's first ACE (Alibaba Cloud Certified Expert) level cloud computing architect certification, redefining the cloud computing architecture.

Alibaba Cloud Certification Expert (ACE Level-Alibaba Cloud Certification Expert) expert-level exam is a personal exam for the role of Alibaba Cloud Architect.

We created this list of 10 must-read books to help you continue to learn DevOps and master this key method in Software Delivery.

Think of DevOps as the intersection of development (software engineering), technical operations, and quality assurance (QA).

DevOps and cloud computing are often touted as an important way for companies to achieve the required digital transformation.

To maintain and improve competitiveness in today's rapidly changing market, cloud computing and DevOps are currently recognized as important ways to achieve IT transformation.

As companies gradually taking advantage of capacity bursts and other advantages of the cloud, having a reliable DevOps solution is one of the key requirements for the hybrid model to work properly.

DevOps is a complete IT operation and maintenance workflow, based on IT automation and CI, CD, to optimize all aspects of program development, testing, system operation and maintenance.

When we talk about DevOps, we might discuss concepts such as process and management, operation and maintenance and automation, architecture and services, and culture and organization.

DevOps comes from the combination of Development and Operations. It can be said that the application of DevOps has filled the information gap between the development side and the operation and maintenance side.

DevOps engineer bridges the gap between software development and operation and maintenance teams in the purest way to improve software delivery rates.

DevOps engineers play a vital role in modern IT. As application development and deployment methods change, organizations will seek experts with practical experience and display skills.

What are the differences between data analysis and data mining that we often hear, and how are they related? Here you can learn about it.

Here we recommend ten most popular data visualization tools to help you perceive differences more intuitively and make judgments.

Data visualization can help us to obtain information from complex data. Matplotlib is the foundation that must be mastered in data visualization.

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In this article, we will introduce what we can do to ensure the security of our data in the era of big data.

The reason why Spark is so concerned is that it has different features from other big data platforms,and its function is huge.

Data visualization is the way to present the inherent value of data. This article will introduce three main application scenarios of data visualization.