#9 AWS Weekly Updates (17 Aug 20)
This week’s picks are:
- Delivery to HTTP endpoints by Kinesis Data Firehose
- AWS Step Functions supports SageMaker Processing
- Build and test AMIs locally using EC2 Image Builder
To learn more about all the latest updates from AWS visit: https://aws.amazon.com/new/
Delivery to HTTP endpoints by Kinesis Data Firehose
Amazon Kinesis Data Firehose is a fully managed data streaming service which can scale automatically as per the requirement without human involvement and can capture, transform and send data to many AWS and third-party services like S3, Redshift, Elasticsearch, Datadog, etc.
With the support of HTTP endpoint, you can send streaming data to either on-premise servers or any third-party vendor which is not yet supported by AWS natively.
Article: Amazon Kinesis Data Firehose now supports data delivery to HTTP endpoints, Stream data to an HTTP endpoint with Amazon Kinesis Data Firehose
AWS Step Functions supports SageMaker Processing
AWS Step Functions is a serverless orchestrator which lets you execute Lambda sequentially, parallelly, repetitively or based on condition. It lets you visualise the entire flow and even maintains the application state. Step function workflow can be triggered by Step Function API, CloudWatch Event, API Gateway, etc.
Amazon SageMaker is a fully managed service which lets you build, train and deploy machine learning models without having in-depth knowledge of machine learning. It does all the heavy lifting for you so that can focus on bringing in the data and train your model as per your business requirement.
Your machine learning workflow can now include SageMaker Processing which allows you to set up data processing and compute steps into your machine learning workflows without leaving the SageMaker service.
Article: AWS Step Functions adds support for Amazon SageMaker Processing
Build and test AMIs locally using EC2 Image Builder
EC2 Image Builder lets you create and maintain custom AMIs automatically without writing scripts. Using EC2 Image Builder along with AWS VM Import/Export service, you can manage AMIs for both EC2 and on-premise virtual machine.
You can now build and troubleshoot images locally on your machine by downloading a standalone application and pushing it to AWS via Image Builder pipelines.
Article: EC2 Image Builder components can now be developed locally, Develop Image Builder components locally
That’s all for now. Stay tuned to learn more about new releases/updates by AWS. ✌️
