Python For System Administrators

Preface Having been in contact with Hadoop for two years, I encountered a lot of problems during that time, including both classic NameNode and JobTracker memory overflow problems, as well as HDFS small file storage issues, both task scheduling and MapReduce performance issues. Some problems are Hadoop's own shortcomings (short board), while others are not used properly. In the process of solving the problem, sometimes need to turn the source code, and sometimes to colleagues, friends, encounter ...

There is a concept of an abstract file system in Hadoop that has several different subclass implementations, one of which is the HDFS represented by the Distributedfilesystem class. In the 1.x version of Hadoop, HDFS has a namenode single point of failure, and it is designed for streaming data access to large files and is not suitable for random reads and writes to a large number of small files. This article explores the use of other storage systems, such as OpenStack Swift object storage, as ...

Overview Hadoop on Demand (HOD) is a system that can supply and manage independent Hadoop map/reduce and Hadoop Distributed File System (HDFS) instances on a shared cluster. It makes it easy for administrators and users to quickly build and use Hadoop. Hod is also useful for Hadoop developers and testers who can share a physical cluster through hod to test their different versions of Hadoop. Hod relies on resource Manager (RM) to assign nodes ...

One, the charm of the management of cloud computing is that users can start using their ID card and credit card, but that's the problem. Such a simple service is bound to bring many challenges to the unprepared IT department. 　　We've been through this many times before: the benefits of a technology that are easy to use end up being an unexpected management challenge, such as virtualization, which causes virtual machines to become fragmented, new security risks to smartphones, and instant messaging that triggers corporate governance problems. This article is intended to show IT managers how to maximize cloud computing ...

The author of this article will introduce some of the leading cloud computing platforms and provide guidance on use cases that these cloud platforms can handle. Platform as a service (PaaS) is often considered to be one of the three major cloud computing service delivery models, and the other two are infrastructure, service and software. It accelerates cloud application development, provides managed infrastructure, simple and flexible resource allocation, and rich tools and services to help achieve efficient code and Run-time performance. However, the term hides the broad diversity of the cloud platform. Coarse look, windows&r ...

Analysis is the core of all enterprise data deployments. Relational databases are still the best technology for running transactional applications (which is certainly critical for most businesses), but when it comes to data analysis, relational databases can be stressful. The adoption of an enterprise's Apache Hadoop (or a large data system like Hadoop) reflects their focus on performing analysis, rather than simply focusing on storage transactions. To successfully implement a Hadoop or class Hadoop system with analysis capabilities, the enterprise must address some of the following 4 categories to ask ...

The platform is a service that allows cloud architects to use their own code as their first choice without having to provide virtual machines and manage the operating system, reducing the management of the infrastructure. In a market for emerging cloud computing, no one will question why you are not working with PAAs vendors, and the reasons are subtle. It is important to determine the correct PAAs model, as this is the only way to ensure that you build a flexible, flexible, and portable enterprise cloud. Therefore, which type of PAAs vendors should be aware of a platform for a particular programming language 、...

Many platforms allow service clouds to be provided, and computing architects use their own code as a first choice. To achieve the need to provide virtual machines and manage the operating system, you can reduce the management of the infrastructure. In a mighty cloud computing market, there is no one to question you, why not work with PAAs vendors, or something else. It's important to use the correct PAAs model, because it's the only way to make sure you build a flexible, resilient, and portable enterprise cloud. All, which type ...

The Linux command line attracts most Linux enthusiasts. A normal Linux user typically has about 50-60 commands to handle daily tasks. Linux commands and their transformations are the most valuable treasures for Linux users, Shell scripting programmers, and administrators.　　Few Linux commands are known, but they are handy and useful, whether you're a novice or an advanced user. Little people know about Linux commands the purpose of this article is to introduce some of the less-known Linux commands that are sure to efficiently ...

The most obvious feature of the Cloud Age data center is the large number of applications of virtualization technology, which makes the objects of operation and maintenance management change. Previous equipment is real, location is relatively fixed, relatively intuitive management. The result of virtualization technology is to "pool" these resources, so that all management objects into virtual, flexible migration of the logic exists, the resources in the data center physical location visibility becomes difficult. Cloud Data center era, what kind of network operational problems? With cloud computing and large data entering the landing phase, the next generation of data centers to support cloud computing and large data development battle ...