4 Key Developments in Data Centre Technology

The latest developments in data centre technology will bring significant benefits to businesses. From cost reductions to improved security, data centre technology is revolutionising the way companies operate and giving them the flexibility to innovate.

 

In this post, we will look at the four areas we feel will have the biggest impact on business. For more information on this subject, download our free whitepaper.

 

1. Intelligent Edge will lead to increased efficiencies

Edge computing is close to becoming what Gartner calls an “innovation trigger”. It’s predicted that the technology will see mainstream adoption by 2020.

Edge is especially useful for global businesses that need to adhere to multiple countries’ data regulations, as using this system allows businesses to process data close to its source. Of course, having a local data centre also benefits real-time data analysis as data latency is decreased.

Gartner also sees mobile edge leading to greater operating efficiencies and to facilitating further innovation through improved data management processes.

The technology provides data centres with greater flexibility over where to house their servers, after considering latency and bandwidth issues. For example, a retailer that offers connected services in-store could have servers on-site to minimise latency and the risk of losing connection to the servers at a central location. However, it would need to weigh these benefits against possible bandwidth issues.

By using a combination of edge computing and automation, data centres will be able to manage, analyse and maintain their systems with increased efficiency.

2. Cloud adoption will increase business agility and innovation

Cloud services can transform the way that any size of business operates.

One of the most popular service models, Infrastructure as a Service (IaaS), gives businesses flexibility, allowing them to scale services as needed, reduce costs and remain agile – helping them to keep up with changes in technology and consumer behaviour.

While these advantages can be achieved with small initial costs using public cloud resources, relying on the public cloud is not possible for certain business functions due to data processing and security policies. However, starting a private cloud can be challenging and can come with significantly higher initial costs compared to the public cloud.

Private cloud also grants businesses greater flexibility, with many options to configure the system to the specific requirements of the business. Private cloud deployment, therefore, is a more secure option, and in an age where data breaches are both more common and can result in massive fines, this is an advantage that businesses cannot ignore.

Some businesses turn to hybrid cloud to balance initial costs with security. A cloud computing environment that uses a mix of on-premises, private cloud and third-party, public cloud services, hybrid cloud allows workloads to move between private and public clouds as computing needs and costs, change. Hybrid cloud gives businesses more flexibility and additional data deployment options.

3. AI will improve data security

Automation and artificial intelligence (AI) will dominate data centre security as data centre managers will turn to increasingly sophisticated AI solutions to power their operations.

AI will provide data centre managers with real-time analysis of systems and correct (or recommend fixes for) vulnerabilities before they occur. Managers will use AI to monitor, and control access and they’ll use the technology to put automatic safeguarding in place – making it easier for data centres to secure client data.

Secure data centre environments demand secure design and planning from the start, as well as continued security in responsiveness and enforcement. They require control, visibility and continual proactive care to provide the best service for businesses and their clients.

4. AI will augment data centre support

The Intelligence-as-a-service market will be worth $3.7bn by 2021. AI is being used to support service levels, such as maintaining the server environment and configuration of data centre technology.

Given access to the correct data, AI can predict downtime and take preventative action, saving money for clients and ensuring compliance with data regulations. (The technology may even allow data centres to become self-managing).

It’s crucial that businesses find the right cloud service provider for them, one that uses the latest technology to help their clients stay ahead of their competitors and adhere to the complex data regulations that businesses must navigate in the global economy.

 

To find out more about this topic, read our white paper ‘Data Centre Outlook

 Lauren Hogg, UK Marketing Manager, Comarch

 Author:

 Lauren Hogg

 UK Marketing Manager

 Comarch

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