Welcome!

Apache Authors: Liz McMillan, Carmen Gonzalez, Elizabeth White, Pat Romanski, Christopher Harrold

Related Topics: @DXWorldExpo, Microservices Expo, Containers Expo Blog, Agile Computing, @CloudExpo, Apache, Cloud Security

@DXWorldExpo: Article

Big Dollars from Big Data

How to reduce costs and increase performance in the data center

Cloud computing has given birth to a broad range of online services. To maintain a competitive edge, service providers are taking a closer look at their Big Data storage infrastructure in an earnest attempt to improve performance and reduce costs.

Large enterprises hosting their own cloud servers are seeking ways to scale and improve performance while maintaining or lowering expenditures. If the status quo of scaling users and storage infrastructure is upheld, it will become increasingly difficult to maintain low cost cloud services, such as online account management or data storage. Service providers will face higher energy consumption in their data centers overall, and many are loath to begin charging for online account access.

Costs vs. Benefits
In response to the trend of growing online account activity, many service providers are transitioning their data centers to a centralized environment whereby data is stored in a single location and made accessible from any location via the Internet. Centralizing the equipment enables service providers to keep costs down while delivering improved Internet connections to their online users and realizing gains in performance and reliability.

Yet with these additional performance improvements, scalability becomes more arduous and cost-prohibitive. Improving functionality within a centralized data center requires the purchase of additional high-performance, specialized equipment, boosting costs and energy consumption that are challenging to control at scale. In an economy where large organizations are seeking cost-cutting measures from every angle, these added expenses are unacceptable.

More Servers, More Problems?
Once a telco moves into providing cloud-based services for its users, such as online account access and management, the demands on its data centers spike dramatically. While the typical employee user of a telco's or service provider's internal network requires high performance, these systems normally have fewer users and can access files directly through the network. Additionally, employees are typically accessing, sending and saving relatively low-volume files like documents and spreadsheets, using less storage capacity and alleviating performance load.

Outside the internal network environment, however, the service provider's cloud servers are being accessed simultaneously over the Internet by more users, which itself ends up becoming a performance bottleneck. Providers, telcos and other large enterprises offering cloud services therefore not only have to scale their storage systems to each additional user, but must also sustain performance across the combined users. Due to the significantly higher number of users utilizing online account tools at any given time, cloud users place a greater strain on data center resources.

Combining Best Practices
To remain competitive, cloud service providers must find a way to scale rapidly to accommodate the proliferating demand for more data storage. Service providers seeking data storage options should look for an optimal combination of performance, scalability and cost-effectiveness. The following best practices can help maximize data center ROI in an era of IT cutbacks:

  1. Pick commodity components: Low-energy hardware can make good business sense. Commodity hardware not only costs less, but also uses far less energy. This significantly reduces both setup and operating costs in one move.
  2. Look for distributed storage: Distributed storage presents the best way to build at scale even though the data center trend has been moving toward centralization. This is because there are now ways to increase performance at the software level that counterbalances the performance advantage of a centralized data storage approach.
  3. Avoid bottlenecks at all costs: A single point of entry becomes a performance bottleneck very easily. Adding caches to alleviate the bottleneck, as most data center architectures presently do, add cost and complexity to a system very quickly. On the other hand, a horizontally scalable system that distributes data among all nodes delivers a high level of redundancy.

Conclusion
Big Data storage consists mainly of high performance, vertically scaled storage systems. Since these current architectures can only scale to a single petabyte and are expensive, they are not cost-effective or sustainable in the long run. Moving to a horizontally scaled data storage model that distributes data evenly onto low-energy hardware can reduce costs and increase performance in the Cloud. With these insights, providers of cloud services can take steps to improve the performance, scalability and efficiency 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.


IoT & Smart Cities Stories
The platform combines the strengths of Singtel's extensive, intelligent network capabilities with Microsoft's cloud expertise to create a unique solution that sets new standards for IoT applications," said Mr Diomedes Kastanis, Head of IoT at Singtel. "Our solution provides speed, transparency and flexibility, paving the way for a more pervasive use of IoT to accelerate enterprises' digitalisation efforts. AI-powered intelligent connectivity over Microsoft Azure will be the fastest connected pat...
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...
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...
CloudEXPO has been the M&A capital for Cloud companies for more than a decade with memorable acquisition news stories which came out of CloudEXPO expo floor. DevOpsSUMMIT New York faculty member Greg Bledsoe shared his views on IBM's Red Hat acquisition live from NASDAQ floor. Acquisition news was announced during CloudEXPO New York which took place November 12-13, 2019 in New York City.
In an age of borderless networks, security for the cloud and security for the corporate network can no longer be separated. Security teams are now presented with the challenge of monitoring and controlling access to these cloud environments, at the same time that developers quickly spin up new cloud instances and executives push forwards new initiatives. The vulnerabilities created by migration to the cloud, such as misconfigurations and compromised credentials, require that security teams t...
The graph represents a network of 1,329 Twitter users whose recent tweets contained "#DevOps", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 10 January 2019 at 23:50 UTC. The tweets in the network were tweeted over the 7-hour, 6-minute period from Thursday, 10 January 2019 at 16:29 UTC to Thursday, 10 January 2019 at 23:36 UTC. Additional tweets that were mentioned in this...
The term "digital transformation" (DX) is being used by everyone for just about any company initiative that involves technology, the web, ecommerce, software, or even customer experience. While the term has certainly turned into a buzzword with a lot of hype, the transition to a more connected, digital world is real and comes with real challenges. In his opening keynote, Four Essentials To Become DX Hero Status Now, Jonathan Hoppe, Co-Founder and CTO of Total Uptime Technologies, shared that ...
After years of investments and acquisitions, CloudBlue was created with the goal of building the world's only hyperscale digital platform with an increasingly infinite ecosystem and proven go-to-market services. The result? An unmatched platform that helps customers streamline cloud operations, save time and money, and revolutionize their businesses overnight. Today, the platform operates in more than 45 countries and powers more than 200 of the world's largest cloud marketplaces, managing mo...
When Enterprises started adopting Hadoop-based Big Data environments over the last ten years, they were mainly on-premise deployments. Organizations would spin up and manage large Hadoop clusters, where they would funnel exabytes or petabytes of unstructured data.However, over the last few years the economics of maintaining this enormous infrastructure compared with the elastic scalability of viable cloud options has changed this equation. The growth of cloud storage, cloud-managed big data e...
Your applications have evolved, your computing needs are changing, and your servers have become more and more dense. But your data center hasn't changed so you can't get the benefits of cheaper, better, smaller, faster... until now. Colovore is Silicon Valley's premier provider of high-density colocation solutions that are a perfect fit for companies operating modern, high-performance hardware. No other Bay Area colo provider can match our density, operating efficiency, and ease of scalability.