Welcome!

@DXWorldExpo Authors: Elizabeth White, Pat Romanski, Roger Strukhoff, Yeshim Deniz, Zakia Bouachraoui

Related Topics: @DXWorldExpo, Java IoT, Microservices Expo, Containers Expo Blog, @CloudExpo, SDN Journal

@DXWorldExpo: Article

Consolidating Big Data

How to make your data center more cost-effective while improving performance

Cloud computing has opened the doors to a vast array of online services. With the emergence of new cloud technologies, both public and private companies are seeing increases in performance gains, elasticity and convenience. However, maintaining a competitive advantage has become increasingly difficult. Service providers are taking a closer look at their data storage infrastructure for ways to improve performance and cut costs.

If the status quo remains, maintaining low-cost cloud services will become increasingly difficult. Service providers will incur higher costs, while consumers become burdened with storage capacity restrictions. Such obstacles are influencing service providers to find new ways to scale cost-effectively and increase performance in the data center.

Cost-Benefit Analysis
In response to the increase of online account activity, service providers are consolidating their data centers to a centralized environment. By doing so, they are able to cut costs while increasing efficiency, allowing data to be accessible from any location. Centralizing equipment enables providers the ability to deliver enhanced Internet connections, performance and reliability.

However, with these added benefits also come disadvantages. For instance, scalability becomes more expensive and difficult to achieve. Improving efficiency within a centralized data center requires the purchase of additional high-performance, specialized equipment, which increases costs and energy consumption, challenging endeavors to control at scale. In an economy where cost-cutting is becoming a necessity for large and small enterprises alike, these added expenses are unacceptable.

Characteristics of the Cloud
Solving performance problems, like data bottlenecks, is a growing concern for cloud providers who must oversee significantly more users and accompanying performance demands, than do enterprises. Although the average user of an enterprise system requires elevated performance, these systems generally manage fewer users who are able to access their data directly through the network. Moreover, enterprise system users are accessing, saving and sending comparatively relatively small files that require less storage capacity and performance.

Outside the internal enterprise network, however, it's a different story. Cloud systems are simultaneously being accessed by a multitude of users across the Internet, which itself becomes a performance bottleneck. The average cloud user stores relatively larger files than the average enterprise user placing greater strains on data center resources. The cloud provider's storage system not only has to scale to each user, but must also sustain performance across all users as well.

Best Practices
In response to growing storage demands, cloud providers are faced with profound business implications. Service providers need to scale quickly in order to meet the booming demand for more data storage. The following best practices can help optimize data center ROI in a period of significant IT cutbacks:

  • Opt for commodity components when possible: Low-energy hardware makes good business sense. Commodity hardware is not only cost-effective, but also energy-efficient, which significantly reduces both setup and operating costs in one move.
  • Seek out a distributed storage system: Distributed storage presents the best way to build at scale even though the data center trend has been moving toward centralization. Increased performance at the software level counterbalances the performance advantage of a centralized data storage approach.
  • Avoid bottlenecks: A single point of entry can easily lead to a performance bottleneck. Adding caches to relieve the bottleneck, as most data center infrastructures currently do, quickly adds cost and complexity to a system. On the other hand, a horizontally scalable system that distributes data among all nodes delivers a high level of redundancy.

Moving Forward
Currently, Big Data storage consists mainly of high performance, vertically scaled storage systems. Since these infrastructures can only scale to a single petabyte and are costly, they are not a sustainable solution. Moving to a horizontally scaled data storage model that distributes data evenly onto energy-efficient hardware can reduce costs and increase performance in the cloud. With these insights, cloud service providers can take the necessary steps to improve the efficiency, scalability and performance of their data storage centers.

More Stories By Stefan Bernbo

Stefan Bernbo is the founder and CEO of Compuverde. For 20 years, he has designed and built numerous enterprise scale data storage solutions designed to be cost effective for storing huge data sets. From 2004 to 2010 Stefan worked within this field for Storegate, the wide-reaching Internet based storage solution for consumer and business markets, with the highest possible availability and scalability requirements. Previously, Stefan has worked with system and software architecture on several projects with Swedish giant Ericsson, the world-leading provider of telecommunications equipment and services to mobile and fixed network operators.

Comments (0)

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.


DXWorldEXPO Digital Transformation Stories
Using serverless computing has a number of obvious benefits over traditional application infrastructure - you pay only for what you use, scale up or down immediately to match supply with demand, and avoid operating any server infrastructure at all. However, implementing maintainable and scalable applications using serverless computing services like AWS Lambda poses a number of challenges. The absence of long-lived, user-managed servers means that states cannot be maintained by the service. Lo...
As you know, enterprise IT conversation over the past year have often centered upon the open-source Kubernetes container orchestration system. In fact, Kubernetes has emerged as the key technology -- and even primary platform -- of cloud migrations for a wide variety of organizations. Kubernetes is critical to forward-looking enterprises that continue to push their IT infrastructures toward maximum functionality, scalability, and flexibility. As they do so, IT professionals are also embr...
Technology has changed tremendously in the last 20 years. From onion architectures to APIs to microservices to cloud and containers, the technology artifacts shipped by teams has changed. And that's not all - roles have changed too. Functional silos have been replaced by cross-functional teams, the skill sets people need to have has been redefined and the tools and approaches for how software is developed and delivered has transformed. When we move from highly defined rigid roles and systems to ...
This month @nodexl announced that ServerlessSUMMIT & DevOpsSUMMIT own the world's top three most influential Kubernetes domains which are more influential than LinkedIn, Twitter, YouTube, Medium, Infoworld and Microsoft combined. NodeXL is a template for Microsoft® Excel® (2007, 2010, 2013 and 2016) on Windows (XP, Vista, 7, 8, 10) that lets you enter a network edge list into a workbook, click a button, see a network graph, and get a detailed summary report, all in the familiar environment of...
IT professionals are also embracing the reality of Serverless architectures, which are critical to developing and operating real-time applications and services. Serverless is particularly important as enterprises of all sizes develop and deploy Internet of Things (IoT) initiatives. Serverless and Kubernetes are great examples of continuous, rapid pace of change in enterprise IT. They also raise a number of critical issues and questions about employee training, development processes, and opera...
At CloudEXPO Silicon Valley, June 24-26, 2019, Digital Transformation (DX) is a major focus with expanded DevOpsSUMMIT and FinTechEXPO programs within the DXWorldEXPO agenda. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term. A total of 88% of Fortune 500 companies from a generation ago are now out of business. Only 12% still survive. Similar percentages are found throug...
AI and machine learning disruption for Enterprises started happening in the areas such as IT operations management (ITOPs) and Cloud management and SaaS apps. In 2019 CIOs will see disruptive solutions for Cloud & Devops, AI/ML driven IT Ops and Cloud Ops. Customers want AI-driven multi-cloud operations for monitoring, detection, prevention of disruptions. Disruptions cause revenue loss, unhappy users, impacts brand reputation etc.
At CloudEXPO Silicon Valley, June 24-26, 2019, Digital Transformation (DX) is a major focus with expanded DevOpsSUMMIT and FinTechEXPO programs within the DXWorldEXPO agenda. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term. A total of 88% of Fortune 500 companies from a generation ago are now out of business. Only 12% still survive. Similar percentages are found throug...
Atmosera delivers modern cloud services that maximize the advantages of cloud-based infrastructures. Offering private, hybrid, and public cloud solutions, Atmosera works closely with customers to engineer, deploy, and operate cloud architectures with advanced services that deliver strategic business outcomes. Atmosera's expertise simplifies the process of cloud transformation and our 20+ years of experience managing complex IT environments provides our customers with the confidence and trust tha...
Using serverless computing has a number of obvious benefits over traditional application infrastructure - you pay only for what you use, scale up or down immediately to match supply with demand, and avoid operating any server infrastructure at all. However, implementing maintainable and scalable applications using serverless computing services like AWS Lambda poses a number of challenges. The absence of long-lived, user-managed servers means that states cannot be maintained by the service. Lo...