Monday, January 7, 2019

AWS looks to expand user support staff

AWS Digest
A roundup of AWS content from TechTarget's network |January 7th, 2019
TechTarget
FEATURED STORY
AWS preps app suite for deeper customer engagement
by Chris Kanaracus, Senior News Writer

An in-house AWS application suite aims to help deepen the company's relationships with enterprise customers, and take the cloud platform fight to Microsoft's turf. (SearchAWS.com)

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AWS' container roadmap may foreshadow more transparency
Customers will welcome the additional candor of AWS' container strategy, but it's unclear whether public roadmaps will become a broader part of AWS' culture. (AWS Cloud Cover Blog)
 
AWS improves networking services with expanded VPC options
AWS' cloud networking services have been upgraded to include a second VPN offering, expanded VPC connections and WebSocket support for API Gateway. (AWS Cloud Cover Blog)
EXPERT ADVICE
 
SearchAWS contributors make 2019 predictions
What's in store for the near-term future of Amazon's cloud? SearchAWS contributors make their predictions, with a focus on AI, machine learning and further integration of native services. (SearchAWS.com)
 
There's no magic spell, but Amazon AI can pay dividends
Some enterprises approach AI on AWS with trepidation. However, those emboldened to experiment with the technology can take a practical approach to glean some useful machine learning insights. (SearchAWS.com)
 
Choose the right public cloud container registry
Cloud container registries in AWS, Azure and Google Cloud Platform all provide the same core functionality -- storing and hosting Docker container images. But there are key differences in pricing, geo-redundancy and user interfaces. (SearchCloudComputing.com)
 
DynamoDB updates hone in on large enterprises
Additional Amazon DynamoDB features, such as Global Tables, Backup and Restore and DAX, take aim at database usage in large enterprises, but for some companies these aren't game changers. (SearchAWS.com)
 
Push ML inference to the edge with Greengrass
AWS Greengrass ML Inference capabilities play a major role in how data scientists can get the most out of the service. Use the feature to extend machine learning beyond the cloud and generate better real-time decisions at the device level. (SearchAWS.com)
 
AWS offerings glue microservices together for agile development
Developers often turn to AWS tools to achieve CI/CD. When software teams combine AWS and microservices deployment practices, the results can substantially streamline the development process. (SearchMicroservices.com)
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