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Day Four Recap – Linux Academy

Day Four Recap – Linux Academy

In our last day at AWS re:Invent, and final overview piece, we’re masking the ultimate keynote in-depth.


Overview of Werner Vogels Keynote:


The Power of AWS Nitro

Under the hood, AWS continues to innovate and enhance the efficiency of the newest technology of EC2 cases.  AWS EC2 Nitro now helps 36% sooner Amazon EBS-Optimized Instance bandwidth as much as 19 Gbps for the all-new C5/C5d/C5n, M5/M5d/M5n/M5dn, R5/R5d/R5n/R5dn, and P3dn cases now help 36% larger EBS-optimized cases. Also, 6, 9, and 12 TB Amazon EC2 High Memory cases can now help 19 Gbps of EBS-optimized occasion bandwidth, a 36% enhance from 14 Gbps. 


For storage-intensive workloads, AWS Customers may have a possibility to make use of smaller occasion sizes and nonetheless meet EBS-optimized occasion efficiency necessities, thereby saving prices. AWS Nitro has additionally enabled different highly effective AWS companies together with AWS Outposts (AWS Infrastructure and repair dropped at your knowledge heart) and FireCracker (Virtualization Technology and Open Source Project for Running light-weight Multi-Tenant Container Workloads).


AWS Builder’s Library

Another thrilling announcement was the Amazon Builder’s Library: a set of revealed articles offering perception into how Amazon operates at scale. If you haven’t checked it out but, we extremely advocate taking a fast look on the new builder’s library as quickly as you may! This announcement will probably be extremely helpful for each Linux Academy and our Learners—offering entry to in-depth articles created by Architects, Engineers, and Leaders from inside AWS.

Jeff Barr himself personally referenced two articles in his AWS News Blog Post — particularly the “Avoiding insurmountable queue backlogs” and “Challenges with distributed systems”.  We have personally gone via an article titled “Timeouts, retries, and backoff with jitter” written by Marc Brooker and located the article incredible! The article discusses a number of matters, similar to the right way to discover superb timeout settings based mostly upon latency metrics, retry methodologies (similar to exponential backoff), and jitter issues (and the way this impacts retry methodology). Keep in thoughts, AWS will proceed so as to add articles to this library over time, so examine again usually!

Amazon Athena Query Enhancements

Amazon Athena now permits federated SQL queries permitting customers to question the info in-place from knowledge saved in relational, non-relational, object, and customized knowledge sources. Analysts can use acquainted SQL constructs to JOIN knowledge throughout a number of knowledge sources. This gives for fast evaluation and subsequent capability to retailer leads to Amazon S3 to be used.

Athena executes federated queries utilizing Athena Data Source Connectors that run on AWS Lambda. AWS has open-sourced Data Source connectors for Amazon DynamoDB, Apache HBase, Amazon Document DB, Amazon Redshift, AWS CloudWatch, AWS CloudWatch Metrics, and JDBC-compliant relational databases similar to MySQL, and PostgreSQL

In addition to the Federated SQL queries, Amazon Athena now helps user-defined features (UDFs). This permits clients, permitting them to jot down scalar features after which invoke these features through SQL queries immediately. Athena federated question and user-defined features can be found in Preview within the us-east-1 (N. Virginia) area. Begin your Preview now by following these steps.

AWS Machine Learning (ML) Embark program Launched

AWS introduced the AWS Machine Learning (ML) Embark program to assist corporations remodel their improvement groups into machine studying practitioners. AWS ML Embark was developed based mostly on Amazon’s personal ML expertise and 1000’s of profitable buyer implementations. 

The program contains:

  • guided instruction from AWS machine studying specialists
  • a discovery workshop, a hand-selected curriculum from the Machine Learning University
  • an AWS DeepRacer occasion
  • and co-development of a machine studying proof of idea on the end result of this system.


New Express Workflows for AWS Step Functions

The new AWS Step Functions Express Workflows sort makes use of in-memory processing for quick, high-event-rate workloads of as much as 100,000 state transitions per second, for a complete workflow period of as much as 5 minutes. The new Express Workflows can be utilized for IoT knowledge ingestion, cellular backends, and different high-throughput use-cases. Existing workflows in AWS Step Functions at the moment are known as Standard Workflows.


Where to Go From Here

That wraps up the Thursday Keynote abstract for re:Invent 2019. 

Please attain out to us on the Linux Academy Community slack with: 

  1. Your favourite options or companies introduced this 12 months 
  2. Any loopy, hilarious, or superior re:Invent 2019 tales
  3. What Linux Academy can do to raised serve you
  4. Anything you wished to see that wasn’t on the occasion this 12 months. 


Thank you for an additional nice 12 months of re:Invent reminiscences. It was a pleasure to see acquainted faces, make new mates and share in your lifelong tales of success. We can’t wait to do it once more in a 12 months and listen to what you’ve been as much as. We are honored that will help you construct your desires, no matter they might appear like.

Linux Academy team at AWS re:Invent 2019


Post by: Miles Baker and Kelby Enevold


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