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Transformation Network
The Achilles heel of every transformative business model is their reliance on ever increasing amounts of data that need to be transported quickly across wide area networks and processed at…
Essential Characteristics of Cloud Computing as Digital Transformation
Hybrid IT blends traditional datacenters, managed service providers, and cloud service providers to deliver the necessary mix of information technology services. This IT consumption model enables a composable infrastructure which…
Transformation Innovation
4 Factors Driving Digital Transformation ROI The critical assessment factors for cloud ROI risk probability are the following: Infrastructure utilization Speed of migration to cloud Ability to scale business/mission processes…
Transformation Frameworks
Digital transformation necessitates changes in an organization’s operational processes. According to Harvard, a focus on operations can lead to business process optimization and entirely new revenue streams. Three common routes…
Transformation Infrastructure
Hybrid IT enables a composable infrastructure which describes a framework whose physical compute, storage, and network fabric resources are treated as services. Resources are logically pooled so that administrators need…
Essential Characteristics of Cloud Computing as Digital Transformation
A survey of 2,000 executives conducted by Cognizant in 2016 identified the top five ways digital transformations generate value: Accelerating speed to market Strengthening competitive positioning Boosting revenue growth Raising…
Embrace Transformation
From a business perspective, differentiating business processes and quality customer service are central to overall success. Business leaders must therefore clearly identify and measure how information technology contributes to the…
Computer Vision Advances Zero-Defect Manufacturing
by Kevin L. Jackson Electronics manufacturers operate in a challenging environment. It’s hard enough to keep up with the ever-accelerating rate of change in the industry. Now customers want increasingly…
Real-Time Analytics Power the Roadway of the Future
By Kevin L. Jackson The complexities of citywide traffic are pushing the limits of existing transportation management systems. Outdated infrastructure is based on proprietary, single-purpose subsystems, making it costly to…
Thriving on the Edge: Developing CSP Edge Computing Strategy
Communications Service Providers (CSPs) are facing significant business model challenges. Referred to generally as edge computing, the possibilities introduced by the blending of 5G networks and distributed cloud computing technologies are…
Nikita Ivanov of GridGain offers some excellent insight into the nuts and bolts of getting the cloud to work. Definitely worth a read. To summarize:
- Most likely you do NOT need cloud computing
- The best way to think about cloud computing is “Data Center with API”
- You will spend weeks and months fine tuning your cloud based application
- You are about to deal with 100s and 1000s of remote nodes
- You cannot rely on the fact that environment will be homogeneous
- Debugging problem on a cloud scale requires deep understanding of distributed computing
- IP multicast will likely not work or work with significant networking limitations.
- Traffic inside is very cheap or free – but traffic outside is expensive and can “get you” very quickly
- If you have to use cloud all the time, the economics change and it may be cheaper to traditionally rent in a data center
- Up time and per-computer reliability is low – comprehensive failover support on grid middleware is a must
- Static IPs are not guaranteed
- Almost always plan on having multiple clouds
- External clouds may present data sharing problems
- Carefully think through dev/qa/prod layout and how this is all organized
- Clunky (re)deployment of your application onto the cloud can stop your development process
- Connections are often one-directional so comprehensive communication capabilities supporting one-directional connectivity and disjoint clouds in grid middleware is a must
- Cloud are implemented based on hardware virtualization – make sure your grid middleware can dynamically provision such images on demand
- Stick with open source stack
- Linear scalability can only be achieved in a control test environment. Real world applications will exhibit non-linear scalability.
- [His] Personal recommendation: use Amazon EC2/S3 services
Cloud Computing
- CPUcoin Expands CPU/GPU Power Sharing with Cudo Ventures Enterprise Network Partnership
- CPUcoin Expands CPU/GPU Power Sharing with Cudo Ventures Enterprise Network Partnership
- Route1 Announces Q2 2019 Financial Results
- CPUcoin Expands CPU/GPU Power Sharing with Cudo Ventures Enterprise Network Partnership
- ChannelAdvisor to Present at the D.A. Davidson 18th Annual Technology Conference
Cybersecurity
- Route1 Announces Q2 2019 Financial Results
- FIRST US BANCSHARES, INC. DECLARES CASH DIVIDEND
- Business Continuity Management Planning Solution Market is Expected to Grow ~ US$ 1.6 Bn by the end of 2029 - PMR
- Atos delivers Quantum-Learning-as-a-Service to Xofia to enable artificial intelligence solutions
- New Ares IoT Botnet discovered on Android OS based Set-Top Boxes