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, here let me do some guidance for everyone.

What is cloud and when?

Every few years, the IT industry is overwhelmed with new entrants and technologies, some become extremely popular, and some eventually fail and disappear. So what is cloud computing? What is the essence behind hype?

Not long ago, SOA was a buzzword. Recalling the past, Rod Johnson, founder of Spring, considered service-oriented architecture "an architectural, but based on it, a really fake market-creating concept." He combines SOA and cloud computing Contrast, and said "in the case of cloud computing, there are more substantive things behind. However, this substance is covered up, cloud means different things to different people." The comparison here is for the cloud more long-term development of.

However, some people reiterate that cloud is not an IT panacea. Andrew Townsend points out that "cloud computing offers an off-the-shelf infrastructure that cloud service providers use to maintain and businesses do not have to spend any money on the front end, but the cloud may not be for everyone." He cited scenarios in which There is no point in moving to the cloud. Some penguins, for example, must also operate in areas where Internet connection is slow or unreliable and may be insulated from the public cloud. He also pointed out some less obvious mistakes such as business operations in geographies, authorization of data tracking, or core business-critical applications that match better services to external cloud service providers in full-time internal IT.

Cloud limit expansion

The interesting part is that the Java programming language itself often causes problems when it scales indefinitely due to its management reference and collection, which is why so many programming languages ​​have become so popular on the Java platform. Scala is the most popular language that may be scaled in the cloud. But writing in Scala is definitely not the only way to write solid, scalable code for the cloud computing infrastructure.

Some developers are seeking the success of EJBs on the Spring framework. Cloud-based Spring / EJB method coding based on the rather traditional hierarchical architecture, separate layer for business and presentation layer, can be deployed separately, thus simplifying cloud technology integration and improve scalability.

There are also experts who understand how to design systems for scalability without the need for specific tools to increase scalability. For example, Martin Abbott and Michael Fisher wrote a book that focuses on 50 scalability rules that can lead to better scalability designs, resulting in more scalable cloud applications. These rules for building scalable systems cover both hardware and software. They warn of using "Select *" and explain how to better specify the lines you are looking for. They also come with some easy-to-observe hardware suggestions like using the same vendors for all the detail networks like switches and routers because hybrid network drives can cause signal routing overhead.

Cloud computing as a Java development platform

The cloud covers most of the enterprise computing roles, from project managers to enterprise architects to application developers to deployment specialists. There are also some amazing benefits and performance that Java developers can take advantage of. Here's how cloud computing makes our development better.

The PaaS cloud architecture can bring many benefits to the enterprise development team. The PaaS model allows development teams that are focusing on cloud applications to go beyond the maintenance and existing business applications and legacy infrastructure to begin replacing them with new, easier-to-integrate cloud applications. PaaS pays for scalability on a monthly basis, allowing business people to stop investing in short-term projects without the risk of long-term, expensive modernization. But beware of the first one, because the first impression lasts for a long time and the PaaS pilot is likely to be a great friend or business assistant for you.

Another benefit of developing enterprise applications using the cloud platform is relatively easy application troubleshooting. Cloud enterprise architecture, the development team can issue a snapshot of the environment. Let experts help to answer. Compared to the traditional test cloud snapshot has many benefits. Cloud snapshot recordings scale out environmental factors that are affecting less-performing applications in real-time operation. These problem factors can be difficult to visualize without applying the reconfiguration.

New cloud technologies can cause confusion in the development team. Java developers often provide a wide range of in-depth skills, but dealing with cloud infrastructure may be a new challenge for many people. For example, most Java developers are familiar with excessive tricks that can save CPU cycles, but the cloud model CPU power is sufficient, and more importantly, focus on bandwidth savings. Like most new technologies, cloud computing makes life easier for developers once they have a chance to learn some powerful PaaS skills.