kube systems

The distributed command mode is a recommended mode for architecture design. Compared with the design of common applications, it should be considered more in the interconnected system. The goal of this model is to have the same design for both an independent system and an interconnected system. This mode allows developers to focus on designing a common application that follows the command mode without considering that the application will be connected to other

Reprinted: http://linux.chinaitlab.com/administer/794678.html Linux has the most notable features of flexibility and scalability, such as its Virtual File System switch (VFS ). You can create a file system on a variety of devices, including traditional disks, USBFlash drive, memory, and other storage devices. You can also embed a file system in another file system environment. Explore the factors that make VFS so powerful and understand the main interfaces and processes of VFS. The flexibility a

Wen/Yangdong This article systematically introduces and analyzes the industry mainstream Yahoo! S4, Streambase and Borealis three kinds of flow computing systems, I hope readers can from the design of these systems to understand the different scenarios of the key problems to be solved in the dirty calculation. Background Non-real-time computing is almost always based on the MapReduce computing framework, bu

In the first part of "Designing Data-intensive Applications" (see above), the basic theory and knowledge of the data system are introduced, all based on single node. In the second part of the Ddia (distributed data), the field of view is extended to the distributed Data system. There are three main reasons for the distribution of data: Scalability Fault Tolerance/high Availability Reduce Latency When the load increases, there are two ways to respond, scale up vs. scale out, whi

Before Yan The author's years of development, management, and teaching experience in the embedded field have contributed to the birth of this book. The purpose of this book Operating System is an old topic. Its appearance and development are of great significance to computer technology. This development is not only reflected in traditional computers, but also plays an irreplaceable role in the embedded field that emphasizes streamlining, high efficiency, and real-time performance. Readers famili

Parallel processing of large-scale particle systems on GPUOriginal article: [latta04] Luta latta, "massively parallel particle systems on the GPU latta," IntroductionThe real world is filled with small objects with irregular motion. People design physically correct particle systems (PS) to simulate these natural phenomena. Over the past few decades, particle

Competition between open-source operating systems and Windows!Competition between open-source operating systems and Windows!GuideThe technology website ZDNet recently wrote that in an era where users are king, operating systems put down their bodies to gain favor and adopt a free policy, but one exception exists-Windows 10. Such an exception makes many people not

The security of Unix operating systems is well known. However, if you want to say where the Unix system is secure, it is estimated that no one can say why. 1. Different users have different permissions for the same command. The Date command is a common command in Unix systems. It displays the Date and time of the system. However, different user roles have different functions. If you are a system administrat

Frankly, it is also a chance coincidence, in the postgraduate stage into the field of distributed systems learning. Whether it's large-scale storage or computing, its core is the need to use distributed technologies to leverage parallelism to address data-intensive applications. Recently began to chew this "designing Data-intensive Applications" Tome, the author Martin Kleppmann in the field of distributed data sy