Welcome!

Machine Learning Authors: Yeshim Deniz, Liz McMillan, Pat Romanski, Elizabeth White, Corey Roth

Related Topics: @CloudExpo, Java IoT, Microservices Expo, Microsoft Cloud, Containers Expo Blog, Cognitive Computing

@CloudExpo: Blog Feed Post

IT Cost Analysis Is First Step to Making Cloud Efficient

A strong IT cost analysis up front sets the groundwork for future success in the cloud

David Linthicum published a good article on the lack of IT cost analysis and planning related to cloud a few weeks ago that is worth some discussion. The article highlights a study from the Big Data Group’s called the Cloud Cost Benchmark Study, which indicates AWS users are significantly underutilizing their usage of cloud, thus undercutting potential cost savings and highlighting large cloud inefficiencies. VentureBeat featured a similar story back in August 2012 saying “The cloud eats two-thirds of your cash“. Both of these articles, and the trend in general, highlight exactly why 6fusion’s “metering first” approach is gaining traction.

Take this quote from Linthicum’s article for example:

“Planning means that we do some detailed modeling of how our system will exist within the target cloud platform.  This includes utilization of resources, and a model that depicts the cost of operating the system over time, and looking at ways to make the use of a cloud service more cost effective.”

6fusion’s IT cost analysis is a first step in that direction by providing accurate measurements of how much computing capacity an organization has and what it costs to run per unit of compute. Combine that with the fact that a federated network of public cloud providers is using that same unit of compute to measure IT resource consumption in their public cloud environments and you have the ability to get real data on what your cloud resource consumption will be before you ever move to the public cloud.

Another quote from Linthicum:

“Deep management should be implemented that monitors the utilization of resources, with a link to cost data.  Right now, many cloud-based systems are not monitored, or just monitored for up-time statistics.  Operational monitoring should also include costs of resources utilized, allowing the operator to tune the systems to provide the best operational performance at the lowest cost.”

Absolutely agree. 6fusion’s Cloud Resource Meter was designed for metering IT resource consumption across public and private cloud environments.  Using the right IT operational metrics are absolutely critical in getting the efficiency gains you are looking for. 6fusion’s IT metric is the Workload Allocation Cube, which incorporates CPU, Memory, Storage, LAN I/O, WAN I/O, and DISK I/O into a commercial standard metric that is used across virtual, physical, public and private environments around the world today.

But it all comes down to metering first and a strong IT cost analysis up front sets the groundwork for future success in the cloud.

The post IT cost analysis is first step to making cloud efficient appeared first on 6fusion.

Read the original blog entry...

More Stories By John Cowan

John Cowan is co-founder and CEO of 6fusion. John is credited as 6fusion's business model visionary, bridging concepts and services behind cloud computing to the IT Service channel. In 2008, he along with his 6fusion collaborators successfully launched the industry's first single unit of meausurement for x86 computing, known as the Workload Allocation Cube (WAC). John is a 12 year veteran of business and product development within the IT and Telecommunications sectors and a graduate of Queen's University at Kingston.

CloudEXPO Stories
SYS-CON Events announced today that DatacenterDynamics has been named “Media Sponsor” of SYS-CON's 18th International Cloud Expo, which will take place on June 7–9, 2016, at the Javits Center in New York City, NY. DatacenterDynamics is a brand of DCD Group, a global B2B media and publishing company that develops products to help senior professionals in the world's most ICT dependent organizations make risk-based infrastructure and capacity decisions.
The technologies behind big data and cloud computing are converging quickly, offering businesses new capabilities for fast, easy, wide-ranging access to data. However, to capitalize on the cost-efficiencies and time-to-value opportunities of analytics in the cloud, big data and cloud technologies must be integrated and managed properly. Pythian's Director of Big Data and Data Science, Danil Zburivsky will explore: The main technology components and best practices being deployed to take advantage of data and analytics in the cloud, Architecture, integration, governance and security scenarios and Key challenges and success factors of moving data and analytics to the cloud
DXWorldEXPO LLC announced today that All in Mobile, a mobile app development company from Poland, will exhibit at the 22nd International CloudEXPO | DXWorldEXPO. All In Mobile is a mobile app development company from Poland. Since 2014, they maintain passion for developing mobile applications for enterprises and startups worldwide.
Nicolas Fierro is CEO of MIMIR Blockchain Solutions. He is a programmer, technologist, and operations dev who has worked with Ethereum and blockchain since 2014. His knowledge in blockchain dates to when he performed dev ops services to the Ethereum Foundation as one the privileged few developers to work with the original core team in Switzerland.
Most DevOps journeys involve several phases of maturity. Research shows that the inflection point where organizations begin to see maximum value is when they implement tight integration deploying their code to their infrastructure. Success at this level is the last barrier to at-will deployment. Storage, for instance, is more capable than where we read and write data. In his session at @DevOpsSummit at 20th Cloud Expo, Josh Atwell, a Developer Advocate for NetApp, will discuss the role and value extensible storage infrastructure has in accelerating software development activities, improve code quality, reveal multiple deployment options through automated testing, and support continuous integration efforts. All this will be described using tools common in DevOps organizations.