Monday, November 6, 2017

Multi-cloud architecture: The most for your dollar?

Cloud Applications Digest
A roundup of this week’s cloud applications and development content |November 6, 2017
TechTarget
FEATURED STORY
Get the most bang for your buck in multi-cloud architecture

By Chris Tozzi, Contributor

Learn how multi-cloud architecture can help with digital transformation, despite how many single-cloud structures exist. Expert Chris Tozzi talks security, availability and cost.

(SearchCloudApplications.com)

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NEWS
 
DevOps needs maneuverability more than speed

The hype around effective DevOps can make it sound like the real value provided by the methodology comes from faster time to deployment. But this misses the real benefit around maneuverability.

(TheServerSide.com)

 
Docker MTA program helps enterprises target IBM Cloud

IBM joined the Docker MTA program to make it easier for enterprises to modernize their existing applications by using containers to move them to the IBM Cloud.

(SearchCloudApplications.com)

EXPERT ADVICE
 
The pros and cons of container platforms for portability

Container platforms enable high degrees of portability, but there are some container portability limitations related to persistent storage, different container formats and more.

(SearchMicroservices.com)

 
New Applitools, Harness.io products make implementing DevOps easier

The DevOps journey is well underway, but many obstacles remain. New products using artificial intelligence and machine learning are trying to make DevOps implementation simpler.

(SearchSoftwareQuality.com)

 
An insider's guide to the AI and IoT testing process

Testing the internet of things is one thing, but AI takes it to the next level. A LogiGear executive shares what the company learned from its first serious foray into this world.
(SearchSoftwareQuality.com)

 
Machine learning skills are lacking, CIOs lament

Like it or not, it appears that the continuing skills gap that continues to plague many sections of the software world, including development, testing and more, has found a new victim: machine learning.

(SearchMicroservices.com)

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