re:Invent 2022 – Costs

In nutshell: The world is asynchronous. A big focus on asynchronous and event-driven architectures. A lot of exciting announcements around serverless and software development.

To make it easier to deepen a knowledge, I have categorised the videos I am interested in according to:

  1. Innovation
  2. Infrastructure
  3. Data and AI
  4. Security
  5. Costs
  6. Use Cases

Today I am sharing the Costs part.

All below comes from a public AWS channel, I only share selected and classified by me, the texts come from AWS youtube channel, links in the description.

  • Put your cloud cost on track

Wherever you are on your cloud journey, it’s important to keep your spend under control. Join this session to learn about focus areas for cost optimization and the tools and best practices that many organizations use to optimize their AWS environments. Discover how to use AWS products such as AWS Cost Anomaly Detection and AWS Compute Optimizer to prevent cost overruns and build a long-term, self-sustaining, cost-aware culture.

The above description and video can be found here: https://www.youtube.com/watch?v=W5-BT25bk3U

  • Better, faster, and lower-cost storage: Optimizing Amazon S3

Effective performance and cost optimization can require different approaches, depending on workload requirements. This session reviews key considerations for choosing an Amazon S3 storage class that is cost-optimized for your workload. Learn how Amazon S3 powers some of the most performance-sensitive workloads running in the cloud today. Also, review how to get the most out of Amazon S3 to improve your architecture and enhance performance.

The above description and video can be found here: https://www.youtube.com/watch?v=6ZIh5fb5nWw

  • Better, faster, and lower-cost storage: Optimizing Amazon S3

Effective performance and cost optimization can require different approaches, depending on workload requirements. This session reviews key considerations for choosing an Amazon S3 storage class that is cost-optimized for your workload. Learn how Amazon S3 powers some of the most performance-sensitive workloads running in the cloud today. Also, review how to get the most out of Amazon S3 to improve your architecture and enhance performance.

The above description and video can be found here: https://www.youtube.com/watch?v=6ZIh5fb5nWw

  • Migrating to Amazon EMR to reduce costs and simplify operations

Do you run Apache Spark, Presto, Hive, or Flink applications on premises? Running open-source data analytics frameworks requires hard-to-find skills, knowledge, and experience. In this session, Thomson Reuters and LendingClub share how they reduced costs and simplified operations by migrating to Amazon EMR.

The above description and video can be found here: https://www.youtube.com/watch?v=KN9sInq9YKs

  • Build a cost-, energy-, and resource-efficient compute environment

Compute services make up the foundation of many workloads, bringing great opportunity for cost, energy, and resource optimization. With over 500 instance types, multiple purchase options, managed services, serverless, and container options, it’s easy to build what you need while minimizing costs, resources, and energy usage. In this session, learn about efficient compute environments, how they’re built, and how they reduce spend and carbon emissions.

The above description and video can be found here: https://www.youtube.com/watch?v=8zsC5e1eLCg

  • 100x faster data app experiences delivered cost-effectively

While internal BI teams may have gotten used to waiting on dashboards to load, data application experiences are often expected to be much faster. The pressure is on for analytics applications to keep up with users’ reduced attention spans, and there’s no respite from data volumes. Companies trying to meet this new standard may face daunting bills from their cloud data warehouse. In this talk, Matan Sarig demonstrates how Firebolt can efficiently deliver sub-second analytics at terabyte scale with the convenience of a modern data warehouse as a service. Learn how Firebolt can offer a faster analytics experience while optimizing costs. This presentation is brought to you by Firebolt, an AWS Partner.

The above description and video can be found here: https://www.youtube.com/watch?v=gCX7eirNVxU

  • Deploy ML models for inference at high performance & low cost, ft AT&T

High-performance, cost-effective model deployment is critical to maximize the return on your ML investments. Amazon SageMaker provides the breadth and depth of fully managed deployment features to achieve optimal inference performance and cost, while reducing operational burden. In this session, learn how to use SageMaker inference capabilities to quickly deploy ML models in production at scale. Discover SageMaker deployment options including: infrastructure choices; real-time, serverless, asynchronous, and batch inference; single-model, multi-model, and multi-container endpoints; auto scaling; SageMaker Inference Recommender; model monitoring; and SageMaker MLOps integration. Learn how AT&T used Amazon SageMaker to optimize ML model deployment at scale.

The above description and video can be found here: https://www.youtube.com/watch?v=4FqHt5bmS2o

  • Optimize price and performance with Amazon EBS

Millions of organizations run their performance-intensive enterprise applications, databases, and analytics engines on AWS. Learn how to choose the best Amazon EBS volume for your workload to optimize price and performance. Also, discover the Amazon EBS innovations that provide you with greater flexibility to dynamically increase capacity, tune performance, and change the type of live volumes with no downtime or performance impact.

The above description and video can be found here: https://www.youtube.com/watch?v=sewKEuZZ1BA

  • AWS Graviton deep dive: The best price performance for AWS workloads

From many major instance families in Amazon EC2 to managed services such as AWS Lambda, Amazon Aurora, and Amazon EKS, AWS Graviton-based instances are used by tens of thousands of customers to get significant price-performance benefits for a wide variety of workloads on AWS. AWS Graviton3 processors provide up to 25 percent better performance over AWS Graviton2 processors, which already provided significant price-performance benefits. This session dives deep into AWS Graviton3 processors, including suitable workloads and considerations for adoption, and it features an AWS customer speaking about their processor adoption experience.

The above description and video can be found here: https://www.youtube.com/watch?v=lZkO-KelLnk