AWS re:Invent 2021 - Day 3: Top Announcements

AWS re:Invent 2021 - Day 3: Top Announcements

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Konstantinos Bessas

Let’s take a look at the top announcements from Day 3 of re:Invent 2021, always with some extra notes on why they made it to the list. The keynote for the third day of re:Invent was presented by Swami Sivasubramanian, VP Amazon AI with focus on Machine Learning. As expected, the keynote was full of Machine Learning generic and Amazon SageMaker specific announcements.

Announcements

Amazon SageMaker Studio Lab

This is an exciting release that has triggered a lot of discussions around re:Invent. It enables data scientists of any skill level to experiment with Machine Learning tools. It does not require an AWS account. This means that you can register regardless of whether you have workloads running in AWS. Great for students as well as for professionals who want to learn more about Machine Learning. Above all, it is completely free.

Please see here for a complete article by AWS on the release as well as below for a quick introduction video of the new service by AWS.

Embedded content: https://www.youtube.com/watch?v=k2nVIvHB1dk

Amazon SageMaker Canvas

This is another exciting release. SageMaker Canvas is a new visual, no code tool that allows business analysts to build ML models and generate accurate predictions without writing code or requiring ML expertise. It lets you browse and access disparate data sources in the cloud or on-premises, combine datasets, train accurate models, and then generate new predictions once new data is available. All the above from within its intuitive user interface.

This solution empowers business oriented people and people that are not as keen as Data Scientists to faster onboard and be productive in the Machine Learning world.

Please see here for a complete article by AWS on the release.

Amazon DevOps Guru for RDS

I briefly touched upon DevOps Guru in my update for the Day 0 of re:Invent 2021. You can see more about this here. As mentioned there, in the update about CodeGuru, AWS has invested a lot in specialized machine-learning-backed services to assist developers in their journey to use AWS, not only for hosting their application but also their development pipelines.

It is great to see an update to an exciting service called DevOps Guru. It now allows developers to easily detect, diagnose, and resolve performance and operational issues in Amazon Aurora.

Please see here for a complete article by AWS on the release as well as below for a quick introduction video of the new service by AWS.

Embedded content: https://www.youtube.com/watch?v=UKDBwoQ4TnU

Amazon RDS Custom for SQL Server

Migrating workloads to AWS, especially Micorosft Workloads and SQL Servers, is often resulting in a lift & shift migration plan. It has been countless times that I have encountered companies that maintain custom SQL Servers on premises with custom processes running within to support the business requirements. This has resulted in migration plans that cannot leverage RDS from an architecture standpoint and require the configuration of SQL Servers in EC2 instances to have a 1-1 match with the existing solution. What a joy for operations (not!).

With RDS Custom for SQL Server this is no longer the only way forward. We can now leverage the capabilities that RDS has to offer in terms of a managed database service with the ability to configure the system with dependencies on specific configurations and third-party applications.

Please see here for a complete article by AWS on the release.

AWS DMS Fleet Advisor

AWS Database Migration Service (AWS DMS) is a service that helps you migrate databases to AWS quickly and securely. AWS DMS Fleet Advisor is a new feature of AWS DMS that allows you to quickly build a database migration plan by automating the discovery and analysis of your fleet. AWS DMS Fleet Advisor is intended for users looking to migrate a large number of database servers to AWS.

AWS DMS is one of these services that receive mixed remarks from users on its ability to deliver what it promises. The main reason for this is because regardless of the quality of the service itself, the results always depend on the quality of the data within the databases. Depending on the relevant situation as described in my last remark, per case, this can be a very good or a very bad experience.

This update aims at improving the experience on two fronts:

  1. Assisting in a proper discovery of the existing databases;
  2. Constructing a migration plan.

The above help on organizing the migration better, which can only enhance the experience of using DMS as the migration tool.

Please see here for the release information by AWS on the release as well as below for a quick introduction video of the new service by AWS.

Embedded content: https://www.youtube.com/watch?v=8hpT8lhen48

Conclusion

These are only a few cherry picked announcements from the third day of re:Invent 2021. For a complete list of all announcements check the following pages.

aws.amazon.com/new
AWS News Blog - Top Announcements re:Invent 2021