So a lot of announcement from AWS went live last week in Vegas but here are the ones that definitely got my attention :
A couple of interesting features on the Database side :
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Aurora now go Serverless
Customer will be able to create database instance that will shutdown when not used.
+ Game changer for Startups and hobbyist. It will cost way less AWS fund while working on a project – No more paying for an idle database.
+ distribute databases across multiple different datacenters with AWS Aurora Multi-Master feature
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Amazon DynamoDB new backup features
Well, I’ve been expecting this since my first spin with DynamoDB.
This fast backup/restore feature will be used for maintenance/testing and definitely great for environment migration.
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Amazon Neptune
Amazon Neptune is a promising whole new graph database service that aims to help us build an application to map multiple relationships between a variety of different entities.
I will not be using this in the near future as it doesn’t apply to my current projects but it’s definitely a tool to keep in mind.
+ Support Apache TinkerPop and W3C RDF graph model
+ Replicas can be spread to multiple availability zones
– Still targeting developers used to GREMLIN and SPARQL
AWS also expanded its IoT tools with machine learning and security.
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Amazon SageMaker for easy to set up machine learning
I will definitively take this one for a spin as machine learning can provide significant benefits to customers with the right data.
Sagemaker is a new middleware designed to make it easier for everyday developers and scientists to build their own custom machine learning systems.
+ Machine learning without the need for deep expertise.
+ Simple pick algorithm mechanic (TensorFlow, MXNet, Caffe, …)
+ Handle all the work (setting up data pipelines, Elastic Block Storage volumes)
– Data need to be stored in S3 (Same prerequisite similar to others AWS services)
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AWS Lambda is doubling its memory capacity
We can now run function using up to 3008 Mo. (And it’s a lot !)
+ Will run faster
+ This will be great for running big data analysis/statistics or big file manipulation
– I may take this excuse to not optimize the function logic.
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AWS Amazon MQ
Well an AWS Queuing Service was missing from the AWS offering.
And it looks like this one could respond to any need.
+ JMS, NMS, AMQP, STOMP, MQTT et WebSocket
+ Queue Monitoring
+ Integration with lambda and API
And last but not least :
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AWS Cloud 9 IDE now available inside the AWS console
I’ve been using Cloud 9 IDE for a while now and it’s a cool tool to work on multiple computers from anywhere.
Having it integrated with the AWS CLI and Lambda ecosystems is an exciting news.
+ AWS CLI inside Cloud 9 IDE
– No account migration yet if you were already subscribed to C9 offering