Amazon Comprehend

 Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. No machine learning experience required.

Amazon Comprehend now supports identification of text documents that contain personally identifiable information (PII). You can use Amazon Comprehend’s Contains PII API synchronously to discover documents that contain PII, to set up alarms and control access on documents with sensitive information. Amazon Comprehend’s machine learning models find documents that contain PII information such as social security numbers, credit card numbers, and email addresses and allow you to target the PII of your choice.

Amazon Comprehend provides pre-trained models for recognizing entities, key phrases, sentiments, and other common elements in a document. You can also build custom models with Amazon Comprehend to recognize custom entities and classify documents.

EKS performance

 Amazon Elastic Kubernetes Service (EKS) has reduced new cluster creation time by 40%, enabling you to create an EKS cluster in 9 minutes or less, on average.  

Amazon EKS is a managed service that makes it easy for you to run Kubernetes on AWS. Reduced cluster creation time means you can now quickly test new features and iterate on your application infrastructure faster than before. This is especially useful if you have adopted continuous integration and continuous deployment mechanisms that require frequent cluster creation thus improving agility for your teams.

 It was announced couple of days ago by AWS team.

AWS Shield Advanced

 

AWS Shield Advanced now supports tagging of protected resources and protection groups. It is possible for tagging to restrict the ability to create or modify protections to sensitive resources via IAM policies, or to organize and track your AWS Shield Advanced costs at the tag level. 

Resource tagging allows you to define custom names for protected application resources, such as Amazon Elastic Compute Cloud (EC2), Elastic Load Balancing (ELB), Amazon CloudFront, AWS Global Accelerator and Amazon Route 53.  

To associate tags with Shield Advanced protections, log into the Shield Console and navigate to the protected resources tab. From there you can add, edit, or delete tags from existing protected resources or protection groups. Tags can also be added when creating new protections or protection groups through the creation wizard, or through the Shield Advanced API.  

Resource tagging is available to AWS Shield Advanced subscribers at no additional cost. Shield Advanced Developer guide reference is at https://docs.aws.amazon.com/waf/latest/developerguide/ddos-overview.html

AWS Event Driven

 

An event-driven architecture uses events to trigger and communicate between decoupled services and is common in modern applications built with microservices. An event is a change in state, or an update

Event-driven architectures have three key components: event producers, event routers, and event consumers. A producer publishes an event to the router, which filters and pushes the events to consumers. Producer services and consumer services are decoupled, which allows them to be scaled, updated, and deployed independently.

In the given diagram, an event-driven architecture is briefed for an e-commerce site. This architecture enables the site to react to changes from a variety of sources during times of peak demand, without crashing the application or over-provisioning resources.

Many customers are choosing to build event-driven application architectures – those in which subscriber or target services automatically perform work in response to events triggered by publisher or source services. This pattern can enable development teams to operate more independently so they can release new features faster, while also making their applications more scalable.

Technically, AWS covers the basics of event-driven design, using Amazon EventBridge, Amazon SNS, Amazon SQS, AWS Lambda and more.

AWS Digital Labs

 

Last week, AWS launched new digital course - Getting Started with DevOps on AWS. This course explores the basics of developing, delivering, and maintaining high-quality secure applications and services at high velocity on AWS. 

The course covers the philosophies, practices, and tools used to implement a DevOps environment on AWS, while the lab gives you practical experience with the technologies discussed in the course.

By taking this course, you can learn about DevOps methodologies, the key AWS DevOps services, and Amazon’s own transformation journey to DevOps. The lab will present a use case that shows how a company, department, or team can leverage DevOps to increase the quality, speed, and security of their applications. Additional learning about the key DevOps services for automating the continuous integration and continuous delivery (CI/CD) process.

While the course is offered free of charge, the lab costs 10 credits (at 1 USD per credit) on amazon.qwiklabs.com