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From PC Break/Fix to CloudMASTER®
https://www.linkedin.com/in/stevendonovan It was late 2011 and Steven Donovan was comfortable working at SHI International Corporation, a growing information technology firm, as a personal computer break/fix technician. His company had been…
Is Data Classification a Bridge Too Far?
Today data has replaced money as the global currency for trade. “McKinsey estimates that about 75 percent of the value added by data flows on the Internet accrues to “traditional”…
Vendor Neutral Training: Proven Protection Against Cloud Horror Stories
Cloud computing is now entering adolescence. With all the early adopters now swimming in the cloud pool with that “I told you so” smug, fast followers are just barely beating…
Cognitive Business: When Cloud and Cognitive Computing Merge
Cloud computing has taken over the business world! With almost maniacal focus, single proprietors and Board Directors of the world’s largest conglomerates see this new model as a “must do”.…
Government Cloud Achilles Heel: The Network
Cloud computing is rewriting the books on information technology (IT) but inter-cloud networking remains a key operational issue. Layering inherently global cloud services on top of a globally fractured networking…
System Integration Morphs To Cloud Service Integration
Cloud Service Brokerage is changing from an industry footnote toward becoming a major system integration play. This role has now become a crucial component of a cloud computing transition because…
Networking the Cloud for IoT – Pt 3 Cloud Network Systems Engineering
Dwight Bues & Kevin Jackson (This is Part 3 of a three part series that addresses the need for a systems engineering approach to IoT and cloud network design. Networking the Cloud for IoT –…
Networking the Cloud for IoT – Pt. 2 Stressing the Cloud
Dwight Bues & Kevin Jackson This is Part 2 of a three part series that addresses the need for a systems engineering approach to IoT and cloud network design. Part…
Networking the Cloud for IoT – Pt. 1: IoT and the Government
Dwight Bues & Kevin Jackson This is Part 1 of a three part series that addresses the need for a systems engineering approach to IoT and cloud network design:…
Parallel Processing and Unstructured Data Transforms Storage
(This post originally appeared on Direct2Dell, The Official Dell Corporate Blog) Enterprise storage is trending away from traditional, enterprise managed network-attached storage (NAS) and storage area networks (SAN) towards a…
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