Java Troubleshooting

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Java programmers master the system knowledge of the CPU

Last year in the investigation of a lot of java applications, see some of the phenomenon is the programmer to run on their own environment to read the program rarely lead to troubleshooting problems will be more frustrating, so think of writing this series of articles, procedures To provide functionality to end-users, the code is only one part of it, and it needs to be relied on for jvm, os, server hardware, networking, load balancing, etc. In this series of articles, Several parts, more is only a science role, because os I use are linux, this series ...

Java batching: Introduction to Xiandai Batch and computational-intensive programming models

This series of articles, consisting of two parts, will introduce the programming model provided by the http://www.aliyun.com/zixun/aggregation/33934.html ">modern Batch feature, and demonstrate the IBM rational® Creator Developer V8.0 provides new features that greatly simplify the development of batch applications and associated XJCL that are required to submit jobs. The 1th part ...

How to move toward cloud computing

Cloud vendors are telling with virtual computing providers that the cloud is a seamless process. Life tells us that being too violent out of an internal data center or deploying to the cloud is a more complicated way. Because everything from the deployment process to the way things are applied to monitoring, debugging, and so on, can be adjusted to different. Of course, with the increasing use of the problem also arises. As we move further toward cloud computing, these problems can be avoided if we have some experience. Especially when we have a chance to learn some cases. Well, next ...

Top 10 Hadoop Administrators Best Practices

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 ...

How to use cloud computing

What is most worthy of the cloud for sure? Especially when you are developing in a Java development team. The question is not just about what the best part of the cloud is, or why you want to use the cloud. It's like a piece of cake. The best portion of this piece of cake is definitely cream, of course, those breads, and sometimes you may think it tastes pretty good. It is true that people will not like to just butter and bread cake, but the cream is indeed the essence of cakes. Environmental snapshots for many businesses to accept cloud-based development ...

If you understand the cloud correctly

Cloud-based applications typically draw the user's creative mindset into the so-called "declarative programming" of those vendors: clear, point-and-click behavior, and others, as well as some configuration and setup , Rules and formulas and other things. Because there are many reasons for ease of use, many multitasking workloads and some easy to test are our options. Of course, under the same circumstances, if your cloud application has a large number of users and users' usage is quite complicated, then you declare ...

PaaS, not silver bullets.

Editor's note: Wang Lijun, the author of the Sina Cloud computing SAE, participated in and was responsible for the development of the internal dynamic platform (private PAAs) and later led the entire SAE (public PAAs) project. After leaving Sina, set up the Nicescale, is now mainly for developers and enterprises to provide a simple and easy to use server management platform, can manage physical machines, virtual machines, cloud host even Docker containers. The product is still in beta, the official said in early 2014 to complete a round of financing, the specific amount is ominous. This article for the author of the past ten years of work ...

The same travel Hadoop security practice

Homosexual Travel Hadoop Security Practices 0x01 Background Current larger companies have adopted a pattern of sharing Hadoop clusters. Shared Hadoop refers to: data storage, public / private file directory mixed stored in hdfs, different users access to different data on demand; computing resources, the administrator by department or business divided into several queues, each queue allocation A certain amount of resources, each user / group can only use the resources in a queue. This model can reduce maintenance costs, to avoid data redundancy and reduce hardware costs. But this is similar ...

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