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 :
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
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.
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.
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)
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.
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 :
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