Java Coding Challenges

The benefits of cloud computing are already evident, primarily in terms of business agility, scalability, efficiency and cost savings; many are accelerating their efforts to migrate and build mission-critical Java applications specifically for cloud environments. In a recent interview with Bhaskar Sunkara, engineering director at AppDynamics, an application performance company focused on Java and cloud applications, the challenges of developing Java applications for cloud environments and managing those applications in a cloud environment, ...

The author also gives an actual cloud-oriented meap (ie Convertigo mobilizer) that he has been involved in creating as an example enterprise with more and more mobile projects, and those worthwhile projects need to create more projects; But this demand is a major bottleneck. It is no longer a connection to a data source to a mobile device, IT infrastructure is facing multiple device platforms, complex security issues, different enterprise applications and data sources, and many devices have no APIs. This "multi-device to multi-platform" mobile application Set ...

[Introduction]: From the interactive designer to product manager unknowingly two years, although the role has not completely transformed, but the mentality and methods of doing things have undergone a significant change. The biggest change in mentality is: owner mentality (ownership), goal-driven, there is no excuse. The product manager must be a proactive person. He is not a human resource. He has no power. But he also has to co-ordinate various resources so that various roles can meet their goals and meet their goals together. During the encounter difficulties and setbacks are also many, one of the difficulties lies in the technical ...

Cloud computing and data warehousing are a reasonable couple. Cloud storage can be scaled on demand, and the cloud can contribute a large number of servers to a specific task. The common function of Data Warehouse is the local data analysis tool, which is limited by calculation and storage resources, and is limited by the designer's ability to consider the new data source integration. If we can overcome some of the challenges of data migration, the problem can be solved by moving a data warehouse and its data analysis tools from dedicated servers in the datacenter to cloud-based file systems and databases. Cloud data management is often involved in loading and maintaining text in Distributed File systems ...

April 8, 2014, Microsoft formally put an end to the technical support of Windows XP, as the longest service in human history of the computer operating system, in its lockout, user information security, and even national information security are facing serious challenges. How can this kind of security threat be effectively resolved after 5 months? Browser is an important way to attack viruses, in a comprehensive software market, how can we choose safe and effective tools and measures to prevent this ensuing security crisis? September 24-25th, at home and abroad hundreds of security field top ...

Intermediary transaction SEO diagnosis Taobao guest Cloud host technology Hall despite 2012 of years of technical keywords also continue to lock in the "cloud", "virtualization, large data, but the return to the enterprise IT architecture issues, we are not difficult to find, these endless new technologies brought to the enterprise, not only upgrade, but also bring some problems: "Because of these changes and challenges, there is a slight change in it construction, and there is a sense of getting out of control." 　　"Pu Yuan Middleware Business Department deputy general manager, product development Department general manager Wang Keqiang pointed out." Runaway Original ...

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 ...

Big data has grown rapidly in all walks of life, and many organizations have been forced to look for new and creative ways to manage and control such a large amount of data, not only to manage and control data, but to analyze and tap the value to facilitate business development. Looking at big data, there have been a lot of disruptive technologies in the past few years, such as Hadoop, Mongdb, Spark, Impala, etc., and understanding these cutting-edge technologies will also help you better grasp the trend of large data development. It is true that in order to understand something, one must first understand the person concerned with the thing. So, ...

Big data has grown rapidly in all walks of life, and many organizations have been forced to look for new and creative ways to manage and control such a large amount of data, not only to manage and control data, but to analyze and tap the value to facilitate business development. Looking at big data, there have been a lot of disruptive technologies in the past few years, such as Hadoop, Mongdb, Spark, Impala, etc., and understanding these cutting-edge technologies will also help you better grasp the trend of large data development. It is true that in order to understand something, one must first understand the person concerned with the thing. So, ...

Top Ten Open Source technologies: Apache HBase: This large data management platform is built on Google's powerful bigtable management engine. As a database with open source, Java coding, and distributed multiple advantages, HBase was originally designed for the Hadoop platform, and this powerful data management tool is also used by Facebook to manage the vast data of the messaging platform. Apache Storm: A distributed real-time computing system for processing high-speed, large data streams. Storm for Apache Had ...