Friday, April 13, 2018

IBM's advances with AI catch developers' attention

Application Development Digest
A roundup of application development content from TechTarget's network | April 13, 2018
TechTarget
FEATURED STORY
IBM lures developers with AI and machine learning projects

By Darryl K. Taft

IBM open source projects help to facilitate the creation of machine learning apps and grow that developer base.

(SearchSoftwareQuality.com)

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NEWS
 

AWS developer tools ease security, machine learning pains

AWS technology evangelist Jeff Barr surveys the technology needs addressed by new security and ML-focused AWS developer tools disclosed at AWS Summit 2018, such as Secrets Manager.

(SearchAWS.com)

 
Adoption of continuous testing in DevOps and Agile cultures

The best way to engender continuous testing in DevOps shops? Take the lead. Here's how testers can create change and align disparate goals for organizations.

(SearchSoftwareQuality.com)

EXPERT ADVICE
 
Brush up on microservices architecture best practices

Addressing the performance issues of microservice architectures can be quite challenging. Yet, using the right tools or practices at the right time and place will give you a boost.
(SearchMicroservices.com)

 
Four options to manage stateful apps in the cloud

Stateful applications in the cloud pose an ongoing challenge for development and operations teams. Review four ways to address those issues and keep your apps running.

(SearchCloudApplications.com)

 
 
Seven steps to move a DevOps team into the ML and AI world

Artificial intelligence and machine learning can bring a lot to software development and deployment. But patience and experimentation will be key to make it work in an enterprise.
(DevOpsAgenda.com)

 

Which app is apt: native app vs. hybrid app?

Developers have to know what type of application best fits them. Learn about native applications and hybrid applications to decide what works for your enterprise.

(SearchSoftwareQuality.com)

 
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