We have quite a few updates for this month end from AWS. Let’s have a quick walk through with them.

  • AWS Lake Formation is now in general availability
  • Amazon Recognition has improved facial analysis
  • AWS Step Functions now support nested workflows
  • DynamoDB to monitor the status of your account limit.
  • AWS has announced new end-user Computing Consulting Partners.
  • Shared VPC now supports the whole bunch of new services.
  • EC2 On-Demand Capacity Reservations can be shared across multiple AWS accounts.

AWS Lake Formation is now in general availability

AWS Lake formation was announced and invented last year with a massive data repository which allows you to ingest, clean and store all your data in one place and scale. So you can then run analytics and complex machine learning algorithms. So Lake Formations allow you to store all kinds of data including raw, unstructured data, logs, images, videos, scanned documents, as well as data extracted from databases. It also integrates with S3, AWS Glue and Machine Learning and also access and query data using Athena and Redshift.


Amazon Recognition has improved facial analysis

Amazon Recognition has an improved facial analysis now which is a video and image recognition service that makes it easy to add visual analytics to your applications. So with this new improvement, there is more accuracy for both gender and emotion detection which means that the algorithm can now detect a range of emotions in a more accurate way.


AWS Step Functions now support nested workflows

AWS Step Function allows you to co-ordinate all the components over distributed application using a visual workflow. This will help you manage dependencies and schedule concurrency of various components of your application. Nested workflows allow you to organize more complex processes by creating reusable workflows for common processes, thereby allowing you to build your complex applications from simple building blocks.


Monitoring Account Limits with DynamoDB

DynamoDB now published account matrices to help you to monitor capacity consumption against your account limits. You can set it up to send an alert if you are getting close to account limit and even proactively request a limit increase. You can find matrices in the matrics section of CloudWatch and also elements like maximum number of read or write capacity that you can use with an account. This helps you to take appropriate actions on time without manually checking it.


End User Computing Consulting Partner

This week AWS announced a new end-user computing competency. This is like a register of partners who offer AWS services to help companies implement secure end-users access to applications and data in the cloud for mobile and contingent workers. So, these companies can help with strategy, professional services, managing infrastructure and optimization of end-user computing technologies on AWS or following best practices for security performance and availability.


Shared VPC Supports New Services

Shared VPC now supports a bunch of new services. Shared VPC allows other AWS accounts to create their application resources such as EC2 instances, RDS, Lambda functions,etc into a shared centrally managed virtual private cloud. This is great for companies who use multiple AWS accounts. So now you can launch a whole bunch of new services into shared VPS including elements like AWS Glue, which is a managed extract transform load or ETL service, Amazon elastic MapReduce, which is a big data platform and Serverless DB clusters.


Shared On-Demand Capacity Reservations

Users can now share Amazon EC2 on-demand capacity reservation with another AWS account or within your AWS organization. The on-demand capacity reservation allows you to reserve EC2 capacity for any duration that you need so that you are always able to launch that specific EC2 configuration type whenever you want. This arrangement is now whole more flexible since users can share their reservation across multiple AWS accounts. So this means that organizations with multiple accounts can now plan for their capacity needs at an aggregate level and optimize costs and capacity utilization.