The cloud, mobility and other technologies have radically changed the way we work in many companies. Increasingly, which require a good data center to meet the computing demands.
Cloud computing, flash storage, software defined networks (SDN), virtualization and new tools for data center management are some of the trends that will be helpful for data center managers. Here are the five major trends that will modernize the data center:
Cloud Solutions improves access to data
Cloud computing is by far the most capable technology to transform data centers, offering a way to access the data through any Internet-connected device.
More and more cloud services are offered by companies and many have begun to incorporate the use of public or private clouds in their business model, but still not enough. According to a survey, to date, less than a quarter of companies use private cloud, and even fewer have adopted public cloud services.
On the other hand as companies find that the cloud is a way to save costs, since in some cases, cloud services are cheaper than investing in infrastructure, software and maintenance.
The flash storage improves data center performance
The advent of flash storage will improve data centers, providing faster access to data and saving energy.
This trend is mainly relevant for applications of high performance computing mostly used in the industry of financial and core banking services. Having the ability to make a transaction in milliseconds can be worth millions of dollars in the financial sector.
To date, the cost of flash storage arrays remain high, so a hybrid scenario, mixing some applications that use flash and others that use traditional drives and disks may be more plausible today.
It is expected that by 2018 flash storage will become cheaper than high-end disks. In addition, it is one of the predictions for the data storage industry more promising for 2013.
Software Defined Networking (SDN) to improve routing data
It is expected that the SDN reach tackles data centers and improve their performance by making more efficient routing and providing a greater return on investment, not only for data center operators, but also for customers.
With SDN, IT administrators can use a centralized control console without having to manually configure the hardware. The administrator can change any rule of network switches when necessary, giving priority or removing, or even blocking specific types of packets with a very detailed level of control.
Furthermore, SDN also help to secure the system against attacks and ensures data encryption.
Virtualization to increase data center efficiency
Server virtualization is a key technology that has given way to network virtualization, which can increase data center efficiency by creating smaller subsets of networks within a network infrastructure. Thus, multiple virtual networks can coexist on one physical network.
Beyond networking, virtualization in general continues to have a major impact on the data center and among business users.
Tools for data center management
Management tools for data centers are becoming more advanced, and offer a better monitoring and provisioning physical hardware (As like eMagic, Data Center Management Software developed by our R&D Team).
In addition, eMagic allow equipment diagnosis, sense when something is wrong and send an electronic notification to the provider to take action.
Cloud-based PaaS has been on the crest of a wave lately and will probably start to see vertical PaaS offers as soon as companies realize the potential impact in accelerating the development of applications. So to continue to expand this idea why not talk about Big Data PaaS?
How many agree that Big Data was originally driven by the need for discovery, rather than a real request of the companies. Ok, there are many practical examples of the use of Hadoop framework in operational applications, but many of these applications were born because of initiatives and to discover hidden underground.
If we are going to support the scientists and their counterparts in the data, it consists of application developers in an even more experimental enterprise environment, data-driven, rather we should put attention to the root of the Hadoop framework. Provide companies a way to build their internal applications using Hadoop building blocks that will require the talent of a well-oiled team. Ideally, the existing staff need to be trained and equipped with simple application development environments that support the use of unstructured data technologies.
With a deployment inside of a Big Data PaaS, the organization has a full stack which is not too dissimilar from Cloud Era, but perhaps with an interesting difference.
Sellers Based On Hadoop
The first could be compared to IaaS providers in the world of Cloud Hosting. The vendors were more focused on infrastructure and less on development of applications. Difference with a PaaS is that, it includes a comprehensive suite of services for the development team and a robust API that can be extended when services are developed and added to the platform. May include a number of other services centered on the application, such as:
The ultimate goal? Abstracted infrastructure, and increase time-to-market new business applications.