As new technologies evolve, Datacenter infrastructure is becoming more complex. It has led to incompatible framework and consoles throughout network, storage and server. If you are looking for more simplicity and flexibility then you can go for modular design, which also lets IT architects make changes to building blocks when required.
New traffic patterns call for new designs
It’s time you let go of the conventional tree structure to keep up with data center traffic. Any-to-any storage/server mesh means traffic doesn’t have to move from north to south before moving from east to west. Specialized storage switches like Fiber channels can be used by companies in order to link storage devices and servers. To make the most of efficiencies of scale, you can think of consolidating your storage networks with that of your data center. It also ensures that number of siloed networks that require a lot of maintenance can be reduced too.
Manual provisioning of data center is becoming tricky, but automating it with the tools can be difficult as well. That’s because errors creep up on account of network complexity. Three or four-tier network structure has a lot of potential errors that just can’t be accounted for. Assessing how traffic flows in each switch and how it can make a difference to packet delay and loss might be a tough ask as well. There are new challenges with cloud computing and virtualization too, which is why your network should evolve and rise up to them. Otherwise you are faced with more problems than solutions.
Commodity Hardware has its benefits
Low-cost commodity hardware running distributed software came into the picture as Google enhanced its web search and cloud services. This strategy ensures that you can scale fast without having to make huge investments. Data centers of the yore have to shell huge amounts to upgrade their software after every few years. But commodity hardware offers them the same advantages as cloud providers. You have a distributed software layer, which means resources from all clusters of commodity nodes can be abstracted. As a result you get an aggregate capacity that’s better than the most powerful monolithic approaches.
Compartmentalizing unique technology capabilities into various silos only makes things harder for management. Another problem with that is in every separate silo you have to manage the scale out operations individually. These are just some of the issues with regular data centers, which are not easily scalable besides being more rigid as well. In today’s times there have been several advancements in technology and it has necessitated frequent updating of skills amongst siloed teams. In fact it’s imperative for them in order to manage their responsibilities. That’s why silo based infrastructure is becoming increasingly difficult to manage.
Public clouds have their merits because they offer storage, resources and Internet-accessible compute for different users. That’s the reason they have become integral to businesses’ IT strategy. You can pick applications that work well in public clouds; for example, infrastructure as a service. It’s particularly true for applications with unpredictable demands that work better because of the global elasticity they get. Their ability to offer self-service resources means public clouds work well for developers of applications who require quick access to computing and storage abilities too.
Focus on service continuity
User expectations have changed with consumerization and your disaster strategies cannot only be reactive. Unauthorized cloud-based services seem tempting in case there are any interruptions to contend with. That’s why it’s important for admin to make sure there is 100% availability, which can ensure continuity in service. Focusing on recovery when problems arise is just not good enough. That leads to data centers that have to be re-architected. You also have to keep round trip times low and have a lot of bandwidth as well. Applications architectures can be passed on through different sites and data centers, which allow them to scale globally. Moreover their up-time is increased and they perform more efficiently.
End users can be empowered
Data centers have to be more reliable today and modernizing them will ensure that you can keep up with the demands of consumerization. Compute-intensive VDI systems and existing virtualized enterprise applications can also be dealt with a lot better.
Let Software Drive
Data centers today have to have latest software capabilities, but the problem is that they are rigid and often run by field-programmable gate arrays (FPGAs) or application-specific integrated circuits (ASICs). It means admin can have new services without adding hardware, which offers flexibility while you save costs. Scalability, up-times are improved too.
Enterprises have to stay competitive to adapt to latest changes in business environment. Data computing and storage capacity should be increased while having the provision of adding new capabilities easily.
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