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The article lists the basic technologies and essential skills of DevOps and SRE. You can use them as a checklist to evaluate yourself or others, or prepare for the next interview with DevOps/SRE.

In this article, we will introduce eight DevOps automation tools, and every company needs to rely on them for continuous improvement.

Chef is an automated server configuration management tool that can automate the configuration of managed objects, such as system management and software installation.

The architect discussed in this article is in the field of network technology. Through this article, I hope you can understand the position of DevOps architect and its work content.

DevOps organizations strive to introduce application architecture care, but find it difficult to coordinate with DevOps values, goals, and practices.

The beginning of this article talked about the development of DevOps and its relationship with cloud-native. Next, I talked about using DevOps in enterprise cloud native.

"I found that in the evolution of microservices and DevOps(development, testing and operation and maintenance) require close love and close cooperation in order to achieve the desired results."

To understand the work that cloud-native DevOps engineers do every day, it is necessary to understand that the goal of cloud-native models.

Using DevSecOps to implement security automation can improve the efficiency of R&D, O&M, and enhance application security.

Under the DevOps collaboration framework, security protection is the shared responsibility of the entire IT team, so that the term "DevSecOps" was born.

Dataframe is a data structure in pandas in python. A structure similar to a table.

Dataframe is a data structure in pandas in python. A structure similar to a table.Here intoduces some basic functions of DataFrame.

Dataframe is a data structure in pandas in python. A structure similar to a table.Let's take a look at how DataFrame is used.

DataFrame is a distributed data set, which can be understood as a table in a relational database. This article shows what is DataFrame and how to use it.

DataFrame is a distributed data set, which can be understood as a table in a relational database. You can learn more about DataFrame in this article.

Dataframe is a data structure in pandas in python. A structure similar to a table. This article introduces DataFrame structure and common operations.

Dataframe is a data structure in pandas in python. DataFrame data in Pandas can be stored either in an SQL database or directly in a CSV file.

DataFrame is a tabular data structure, it contains an ordered set of columns, each column can be of different value types.

Extract some data from the Internet and put them into the DataFrame one by one. When the amount of data is large, it feels very slow. So I wrote a simple test program.

DataFrame is a tabular data structure. Here introduces how to modify row and column names of Pandas DataFrame.