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During AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. With a knowledge base, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for Retrieval Augmented Generation (RAG).

In my previous post, I described how Knowledge Bases for Amazon Bedrock manages the end-to-end RAG workflow for you. You specify the location of your data, select an embedding model to convert the data into vector embeddings, and have Amazon Bedrock create a vector store in your AWS account to store the vector data, as shown in the following figure. You can also customize the RAG workflow, for example, by specifying your own custom vector store.

Since my previous post in November, there have been a number of updates to Knowledge Bases, including the availability of Amazon Aurora PostgreSQL-Compatible Edition as an additional custom vector store option next to vector engine for Amazon OpenSearch Serverless, Pinecone, and Redis Enterprise Cloud. But that’s not all. Let me give you a quick tour of what’s new.

Additional choice for embedding model
The embedding model converts your data, such as documents, into vector embeddings. Vector embeddings are numeric representations of text data within your documents. Each embedding aims to capture the semantic or contextual meaning of the data.

Cohere Embed v3 – In addition to Amazon Titan Text Embeddings, you can now also choose from two additional embedding models, Cohere Embed English and Cohere Embed Multilingual, each supporting 1,024 dimensions.

Check out the Cohere Blog to learn more about Cohere Embed v3 models.

Additional choice for vector stores
Each vector embedding is put into a vector store, often with additional metadata such as a reference to the original content the embedding was created from. The vector store indexes the stored vector embeddings, which enables quick retrieval of relevant data.

Knowledge Bases gives you a fully managed RAG experience that includes creating a vector store in your account to store the vector data. You can also select a custom vector store from the list of supported options and provide the vector database index name as well as index field and metadata field mappings.

We have made three recent updates to vector stores that I want to highlight: The addition of Amazon Aurora PostgreSQL-Compatible and Pinecone serverless to the list of supported custom vector stores, as well as an update to the existing Amazon OpenSearch Serverless integration that helps to reduce cost for development and testing workloads.

Amazon Aurora PostgreSQL – In addition to vector engine for Amazon OpenSearch Serverless, Pinecone, and Redis Enterprise Cloud, you can now also choose Amazon Aurora PostgreSQL as your vector database for Knowledge Bases.

Aurora is a relational database service that is fully compatible with MySQL and PostgreSQL. This allows existing applications and tools to run without the need for modification. Aurora PostgreSQL supports the open source pgvector extension, which allows it to store, index, and query vector embeddings.

Many of Aurora’s features for general database workloads also apply to vector embedding workloads:

• Aurora offers up to 3x the database throughput when compared to open source PostgreSQL, extending to vector operations in Amazon Bedrock.
• Aurora Serverless v2 provides elastic scaling of storage and compute capacity based on real-time query load from Amazon Bedrock, ensuring optimal provisioning.
• Aurora global database provides low-latency global reads and disaster recovery across multiple AWS Regions.
• Blue/green deployments replicate the production database in a synchronized staging environment, allowing modifications without affecting the production environment.
• Aurora Optimized Reads on Amazon EC2 R6gd and R6id instances use local storage to enhance read performance and throughput for complex queries and index rebuild operations. With vector workloads that don’t fit into memory, Aurora Optimized Reads can offer up to 9x better query performance over Aurora instances of the same size.
• Aurora seamlessly integrates with AWS services such as Secrets Manager, IAM, and RDS Data API, enabling secure connections from Amazon Bedrock to the database and supporting vector operations using SQL.

For a detailed walkthrough of how to configure Aurora for Knowledge Bases, check out this post on the AWS Database Blog and the User Guide for Aurora.

Pinecone serverless – Pinecone recently introduced Pinecone serverless. If you choose Pinecone as a custom vector store in Knowledge Bases, you can provide either Pinecone or Pinecone serverless configuration details. Both options are supported.

Reduce cost for development and testing workloads in Amazon OpenSearch Serverless
When you choose the option to quickly create a new vector store, Amazon Bedrock creates a vector index in Amazon OpenSearch Serverless in your account, removing the need to manage anything yourself.

Since becoming generally available in November, vector engine for Amazon OpenSearch Serverless gives you the choice to disable redundant replicas for development and testing workloads, reducing cost. You can start with just two OpenSearch Compute Units (OCUs), one for indexing and one for search, cutting the costs in half compared to using redundant replicas. Additionally, fractional OCU billing further lowers costs, starting with 0.5 OCUs and scaling up as needed. For development and testing workloads, a minimum of 1 OCU (split between indexing and search) is now sufficient, reducing cost by up to 75 percent compared to the 4 OCUs required for production workloads.

Usability improvement – Redundant replicas disabled is now the default selection when you choose the quick-create workflow in Knowledge Bases for Amazon Bedrock. Optionally, you can create a collection with redundant replicas by selecting Update to production workload.

For more details on vector engine for Amazon OpenSearch Serverless, check out Channy’s post.

Additional choice for FM
At runtime, the RAG workflow starts with a user query. Using the embedding model, you create a vector embedding representation of the user’s input prompt. This embedding is then used to query the database for similar vector embeddings to retrieve the most relevant text as the query result. The query result is then added to the original prompt, and the augmented prompt is passed to the FM. The model uses the additional context in the prompt to generate the completion, as shown in the following figure.

Anthropic Claude 2.1 – In addition to Anthropic Claude Instant 1.2 and Claude 2, you can now choose Claude 2.1 for Knowledge Bases. Compared to previous Claude models, Claude 2.1 doubles the supported context window size to 200 K tokens.

Check out the Anthropic Blog to learn more about Claude 2.1.

Now available
Knowledge Bases for Amazon Bedrock, including the additional choice in embedding models, vector stores, and FMs, is available in the AWS Regions US East (N. Virginia) and US West (Oregon).

Learn more

• Knowledge Bases for Amazon Bedrock product page
• Knowledge Bases for Amazon Bedrock on community.aws
• Amazon Bedrock in the console

Read more about Knowledge Bases for Amazon Bedrock

• Build generative AI applications with Amazon Aurora and Knowledge Bases for Amazon Bedrock (blog post)
• Vector engine for Amazon OpenSearch Serverless is now available (blog post)

— Antje

This post was originally published on this site

With all the generative AI announcements at AWS re:invent 2023, I’ve committed to dive deep into this technology and learn as much as I can. If you are too, I’m happy that among other resources available, the AWS community also has a space that I can access for generative AI tools and guides.

Last week’s launches
Here are some launches that got my attention during the previous week.

Amazon Q data integration in AWS Glue (Preview) – Now you can use natural language to ask Amazon Q to author jobs, troubleshoot issues, and answer questions about AWS Glue and data integration. Amazon Q was launched in preview at AWS re:invent 2023, and is a generative AI–powered assistant to help you solve problems, generate content, and take action.

General availability of CDK Migrate – CDK Migrate is a component of the AWS Cloud Development Kit (CDK) that enables you to migrate AWS CloudFormation templates, previously deployed CloudFormation stacks, or resources created outside of Infrastructure as Code (IaC) into a CDK application. This feature was launched alongside the CloudFormation IaC Generator to give you an end-to-end experience that enables you to create an IaC configuration based off a resource, as well as its relationships. You can expect the IaC generator to have a huge impact for a common use case we’ve seen.

For a full list of AWS announcements, be sure to keep an eye on the What’s New at AWS page.

Other AWS news
Here are some additional projects, programs, and news items that you might find interesting:

Amazon API Gateway processed over 100 trillion API requests in 2023, demonstrating the growing demand for API-driven applications. API Gateway is a fully-managed API management service. Customers from all industry verticals told us they’re adopting API Gateway for multiple reasons. First, its ability to scale to meet the demands of even the most high-traffic applications. Second, its fully-managed, serverless architecture, which eliminates the need to manage any infrastructure, and frees customers to focus on their core business needs.

Join the PartyRock Generative AI Hackathon by AWS. This is a challenge for you to get hands-on building generative AI-powered apps. You’ll use Amazon PartyRock, an Amazon Bedrock Playground, as a fast and fun way to learn about Prompt Engineering and Foundational Models (FMs) to build a functional app with generative AI.

AWS open source news and updates – My colleague Ricardo writes this weekly open source newsletter in which he highlights new open source projects, tools, and demos from the AWS Community.

Upcoming AWS events
Whether you’re in the Americas, Asia Pacific & Japan, or EMEA region, there’s an upcoming AWS Innovate Online event that fits your timezone. Innovate Online events are free, online, and designed to inspire and educate you about AWS.

AWS Summits are a series of free online and in-person events that bring the cloud computing community together to connect, collaborate, and learn about AWS. These events are designed to educate you about AWS products and services and help you develop the skills needed to build, deploy, and operate your infrastructure and applications. Find an AWS Summit near you and register or set a notification to know when registration opens for a Summit that interests you.

AWS Community re:Invent re:Caps – Join a Community re:Cap event organized by volunteers from AWS User Groups and AWS Cloud Clubs around the world to learn about the latest announcements from AWS re:Invent.

You can browse all upcoming in-person and virtual events.

That’s all for this week. Check back next Monday for another Weekly Roundup!

– Veliswa

This post is part of our Weekly Roundup series. Check back each week for a quick roundup of interesting news and announcements from AWS!

This post was originally published on this site

As usual, a lot has happened in the Amazon Web Services (AWS) universe this past week. I’m also excited about all the AWS Community events and initiatives that are happening around the world. Let’s take a look together!

Last week’s launches
Here are some launches that got my attention:

Amazon Elastic Container Service (Amazon ECS) now supports managed instance draining – Managed instance draining allows you to gracefully shutdown workloads deployed on Amazon Elastic Compute Cloud (Amazon EC2) instances by safely stopping and rescheduling them to other, non-terminating instances. This new capability streamlines infrastructure maintenance, such as deploying a new AMI version, eliminating the need for custom solutions to shutdown instances without disrupting their workloads. To learn more, check out Nathan’s post on the AWS Containers Blog.

Amazon Relational Database Service (Amazon RDS) for MySQL now supports multi-source replication – Using multi-source replication, you can configure multiple RDS for MySQL database instances as sources for a single target database instance. This feature facilitates tasks such as merging shards into a single target, consolidating data for analytics, or creating long-term backups within a single RDS for MySQL instance. The Amazon RDS for MySQL User Guide has all the details.

Amazon EMR Studio now comes with simplified create experience and improved start times – With the simplified console experience for creating EMR Studio, you can launch interactive and batch workloads with default settings more easily. The improved start times let you launch EMR Studio Workspaces for performing interactive analysis in notebooks in seconds. Have a look at the Amazon EMR User Guide to learn more.

For a full list of AWS announcements, be sure to keep an eye on the What’s New at AWS page.

Other AWS news
Here are some additional projects, programs, and news items that you might find interesting:

Summarize news using Amazon Bedrock – My colleague Danilo built this application to summarize the most recent news from an RSS or Atom feed using Amazon Bedrock. The application is deployed as an AWS Lambda function. The function downloads the most recent entries from an RSS or Atom feed, downloads the linked content, extracts text, and makes a summary.

AWS Community Builders program – Interested in joining our AWS Community Builders program? The 2024 application is open until January 28. The AWS Community Builders program offers technical resources, education, and networking opportunities to AWS technical enthusiasts who are passionate about sharing knowledge and connecting with the technical community.

AWS User Groups – The AWS User Group Yaounde Cameroon embarked on a 12-week workshop challenge. Over 12 weeks, participants explored various aspects of AWS and cloud computing, including architecture, security, storage, and more, to develop skills and share knowledge. You can read more about this amazing initiative in this LinkedIn post.

AWS open-source news and updates – My colleague Ricardo writes this weekly open source newsletter in which he highlights new open source projects, tools, and demos from the AWS Community.

Upcoming AWS events
Check your calendars and sign up for these AWS events:

AWS Innovate: AI/ML and Data Edition – Register now for the Asia Pacific & Japan AWS Innovate online conference on February 22, 2024, to explore, discover, and learn how to innovate with artificial intelligence (AI) and machine learning (ML). Choose from over 50 sessions in three languages and get hands-on with technical demos aimed at generative AI builders.

AWS Community re:Invent re:Caps – Join a Community re:Cap event organized by volunteers from AWS User Groups and AWS Cloud Clubs around the world to learn about the latest announcements from AWS re:Invent.

You can browse all upcoming in-person and virtual events.

That’s all for this week. Check back next Monday for another Weekly Roundup!

— Antje

This post is part of our Weekly Roundup series. Check back each week for a quick roundup of interesting news and announcements from AWS!

This post was originally published on this site

We are launching three new modules for AWS Supply Chain today. These modules are designed to help you collaborate with your suppliers across all tiers of your supply chain, with the goal of helping you to maintain optimum inventory levels at each site in the chain. Here’s an overview:

Supply Planning – This module helps you to accurately forecast and plan purchases of raw materials, components, and finished goods. It uses multiple algorithms to create supply plans that include purchase orders and inventory transfer requirements.

N-Tier Visibility – This module extends visibility and collaboration beyond your enterprise’s internal systems to multiple external tiers of trading partners.

Sustainability – this module creates a more secure and efficient way for you to request, collect, and review data for carbon emissions, as well as reports on hazardous material used in the acquisition, manufacturing, transportation, and disposal of goods. You can now send data requests to multiple tiers of trading partners, track responses, send reminders to absentees, and provide a central repository to store and view responses.

Let’s take a look at each one…

Supply Planning
AWS Supply Chain already includes a Demand Planning module which uses proprietary machine learning algorithms to forecast demand and generate a demand plan that is based on two or more years of historical order line data. The forecasts are granular and specific, including distribution centers and retail outlets.

The new Supply Planning module uses the demand plan as an input. It looks at existing inventory, accounts for uncertainties, and supports additional business input including stocking strategies, ultimately generating purchase orders for components and raw materials, ready for review and approval. Here is the main page of the Supply Planning module:

The module also supports auto replenishment and manufacturing plans. The manufacturing plans work backward from a Bill of Materials (BoM) which is broken down (exploded) into individual components that are sourced from multiple direct and indirect upstream sources.

Supply Planning is done with respect to a planning horizon and on a plan schedule, both of which are defined in the organization profile:

The settings for this module also allow for customization of purchase order review and approval:

N-Tier Visibility
This module helps you to work in a collaborative fashion with your vendors, the vendors that supply your vendors, and so forth. It automatically detects vendors and sets them up for on-boarding into AWS Supply Chain. The module supports manual and EDI-powered collaboration on purchase orders, while also helping to identify discrepancies and risks, and to find substitute vendors if necessary.

The main page of the module displays an overview of my trading partners:

The Portal status column indicates that some of these partners have already onboarded, others have been invited (and one let the invite expire), and others have yet to be invited. I can click Invite partners to extend invitations. I select the partners (these have generally been auto-discovered using data in the Supply Chain Data Lake), and click Continue:

Then I enter the contact information for each partner that I selected, and click Send invites:

The contact receives an invitation via email and can then accept the invite. After they have accepted, they can receive and respond to supply plans and purchase orders electronically (via email or EDI).

Sustainability
The Sustainability module helps you to request, receive, and review compliance and sustainability data from your partners. It builds on the partner network that I already described, and tracks requests for data:

To request data, I select the type of data that I need and the partners that I need it from, then click Continue:

Then I enter the details that define my request, including a due date. I can ask the chosen partners for a text response and/or a file response:

The responses and files provided by each partner are written to the Supply Chain Data Lake and can also be exported to an Amazon Simple Storage Service (Amazon S3) bucket.

AWS Supply Chain Resources
If you are new to AWS Supply Chain and would like to learn more, here are some resources to get you started:

• AWS Supply Chain – Home page.
• AWS Supply Chain Now Generally Available – Mitigate Risks and Lower Costs with Increased Visibility and Actionable Insights – Blog post.
• AWS Supply Chain announces new upstream capabilities – Blog post.
• Improving demand planning for products with varying lifecycles with AWS Supply Chain – Blog post.
• AWS Supply Chain: Helping Woodside Energy optimize their supply chain – Video.

— Jeff;

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Today we are announcing that Amazon Elastic Container Service (Amazon ECS) supports an integration with Amazon Elastic Block Store (Amazon EBS), making it easier to run a wider range of data processing workloads. You can provision Amazon EBS storage for your ECS tasks running on AWS Fargate and Amazon Elastic Compute Cloud (Amazon EC2) without needing to manage storage or compute.

Many organizations choose to deploy their applications as containerized packages, and with the introduction of Amazon ECS integration with Amazon EBS, organizations can now run more types of workloads than before.

You can run data workloads requiring storage that supports high transaction volumes and throughput, such as extract, transform, and load (ETL) jobs for big data, which need to fetch existing data, perform processing, and store this processed data for downstream use. Because the storage lifecycle is fully managed by Amazon ECS, you don’t need to build any additional scaffolding to manage infrastructure updates, and as a result, your data processing workloads are now more resilient while simultaneously requiring less effort to manage.

Now you can choose from a variety of storage options for your containerized applications running on Amazon ECS:

• Your Fargate tasks get 20 GiB of ephemeral storage by default. For applications that need additional storage space to download large container images or for scratch work, you can configure up to 200 GiB of ephemeral storage for your Fargate tasks.
• For applications that span many tasks that need concurrent access to a shared dataset, you can configure Amazon ECS to mount the Amazon Elastic File System (Amazon EFS) file system to your ECS tasks running on both EC2 and Fargate. Common examples of such workloads include web applications such as content management systems, internal DevOps tools, and machine learning (ML) frameworks. Amazon EFS is designed to be available across a Region and can be simultaneously attached to many tasks.
• For applications that need high-performance, low-cost storage that does not need to be shared across tasks, you can configure Amazon ECS to provision and attach Amazon EBS storage to your tasks running on both Amazon EC2 and Fargate. Amazon EBS is designed to provide block storage with low latency and high performance within an Availability Zone.

To learn more, see Using data volumes in Amazon ECS tasks and persistent storage best practices in the AWS documentation.

Getting started with EBS volume integration to your ECS tasks
You can configure the volume mount point for your container in the task definition and pass Amazon EBS storage requirements for your Amazon ECS task at runtime. For most use cases, you can get started by simply providing the size of the volume needed for the task. Optionally, you can configure all EBS volume attributes and the file system you want the volume formatted with.

1. Create a task definition
Go to the Amazon ECS console, navigate to Task definitions, and choose Create new task definition.

In the Storage section, choose Configure at deployment to set EBS volume as a new configuration type. You can provision and attach one volume per task for Linux file systems.

When you choose Configure at task definition creation, you can configure existing storage options such as bind mounts, Docker volumes, EFS volumes, Amazon FSx for Windows File Server volumes, or Fargate ephemeral storage.

Now you can select a container in the task definition, the source EBS volume, and provide a mount path where the volume will be mounted in the task.

You can also use $aws ecs register-task-definition --cli-input-json file://example.json command line to register a task definition to add an EBS volume. The following snippet is a sample, and task definitions are saved in JSON format.

{
    "family": "nginx"
    ...
    "containerDefinitions": [
        {
            ...
            "mountPoints": [
                "containerPath": "/foo",
                "sourceVolume": "new-ebs-volume"
            ],
            "name": "nginx",
            "image": "nginx"
        }
    ],
    "volumes": [
       {
           "name": "/foo",
           "configuredAtRuntime": true
       }
    ]
}

2. Deploy and run your task with EBS volume
Now you can run a task by selecting your task in your ECS cluster. Go to your ECS cluster and choose Run new task. Note that you can select the compute options, the launch type, and your task definition.

Note: While this example goes through deploying a standalone task with an attached EBS volume, you can also configure a new or existing ECS service to use EBS volumes with the desired configuration.

You have a new Volume section where you can configure the additional storage. The volume name, type, and mount points are those that you defined in your task definition. Choose your EBS volume types, sizes (GiB), IOPs, and the desired throughput.

You cannot attach an existing EBS volume to an ECS task. But if you want to create a volume from an existing snapshot, you have the option to choose your snapshot ID. If you want to create a new volume, then you can leave this field empty. You can choose the file system type, either ext3 or ext4 file systems on Linux.

By default, when a task is terminated, Amazon ECS deletes the attached volume. If you need the data in the EBS volume to be retained after the task exits, check Delete on termination. Also, you need to create an AWS Identity and Access Management (IAM) role for volume management that contains the relevant permissions to allow Amazon ECS to make API calls on your behalf. For more information on this policy, see infrastructure role in the AWS documentation.

You can also configure encryption on your EBS volumes using either Amazon managed keys and customer managed keys. To learn more about the options, see our Amazon EBS encryption in the AWS documentation.

After configuring all task settings, choose Create to start your task.

3. Deploy and run your task with EBS volume
Once your task has started, you can see the volume information on the task definition details page. Choose a task and select the Volumes tab to find your created EBS volume details.

Your team can organize the development and operations of EBS volumes more efficiently. For example, application developers can configure the path where your application expects storage to be available in the task definition, and DevOps engineers can configure the actual EBS volume attributes at runtime when the application is deployed.

This allows DevOps engineers to deploy the same task definition to different environments with differing EBS volume configurations, for example, gp3 volumes in the development environments and io2 volumes in production.

Now available
Amazon ECS integration with Amazon EBS is available in nine AWS Regions: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (Frankfurt), Europe (Ireland), and Europe (Stockholm). You only pay for what you use, including EBS volumes and snapshots. To learn more, see the Amazon EBS pricing page and Amazon EBS volumes in ECS in the AWS documentation.

Give it a try now and send feedback to our public roadmap, AWS re:Post for Amazon ECS, or through your usual AWS Support contacts.

— Channy

P.S. Special thanks to Maish Saidel-Keesing, a senior enterprise developer advocate at AWS for his contribution in writing this blog post.

This post was originally published on this site

Happy New Year! Cloud technologies, machine learning, and generative AI have become more accessible, impacting nearly every aspect of our lives. Amazon CTO Dr. Werner Vogels offers four tech predictions for 2024 and beyond:

• Generative AI becomes culturally aware
• FemTech finally takes off
• AI assistants redefine developer productivity
• Education evolves to match the speed of technology

Read how these technology trends will converge to help solve some of society’s most difficult problems. Download the Werner Vogels’ Tech Predictions for 2024 and Beyond ebook or read Werner’s All Things Distributed blog.

To hear insights from AWS and industry thought leaders, grow your skills, and get inspired, watch AWS re:Invent 2023 videos on demand for keynotes, innovation talks, breakout sessions, and AWS Hero guide playlists.

Launches from the last few weeks
Since our last week in review on December 18, 2023, I’d like to highlight some launches from year end, as well as last week:

New AWS Canada West (Calgary) Region – We are opening a new and second Region and in Canada, AWS Canada West (Calgary). At the end of 2023, AWS had 33 AWS Regions and 105 Availability Zones (AZs) globally. We preannounced 12 additional AZs in four future Regions in Malaysia, New Zealand, Thailand, and the AWS European Sovereign Cloud. We will share more information on these Regions in 2024. Please stay tuned.

DNS over HTTPS in Amazon Route 53 Resolver – You can use the DNS over HTTPS (DoH) protocol for both inbound and outbound Route 53 Resolver endpoints. As the name suggests, DoH supports HTTP or HTTP/2 over TLS to encrypt the data exchanged for Domain Name System (DNS) resolutions.

Automatic enrollment to Amazon RDS Extended Support – Your MySQL 5.7 and PostgreSQL 11 database instances running on Amazon Aurora and Amazon RDS will be automatically enrolled into Amazon RDS Extended Support starting on February 29, 2024. You can have more control over when you want to upgrade the major version of your database after the community end of life (EoL).

New Amazon CloudWatch Network Monitor – This is a new feature of Amazon CloudWatch that helps monitor network availability and performance between AWS and your on-premises environments. Network Monitor needs zero manual instrumentation and gives you access to real-time network visibility to proactively and quickly identify issues within the AWS network and your own hybrid environment. For more information, read Monitor hybrid connectivity with Amazon CloudWatch Network Monitor.

Amazon Aurora PostgreSQL integrations with Amazon Bedrock – You can use two methods to integrate Aurora PostgreSQL databases with Amazon Bedrock to power generative AI applications. You can use the SQL query with Aurora ML integration with Amazon Bedrock and Aurora vector store with Knowledge Bases for Amazon Bedrock for Retrieval Augmented Generation (RAG).

New WordPress setup on Amazon Lightsail – Set up your WordPress website on Amazon Lightsail with the new workflow to eliminate complexity and time spent configuring your website. The workflow allows you to complete all the necessary steps, including setting up a Secure Sockets Layer (SSL) certificate to secure your website with HTTPS.

For a full list of AWS announcements, be sure to keep an eye on the What’s New at AWS page.

Other AWS News
Here are some other news items that you may find interesting in the new year:

Book recommendations for AWS customer executives – Plan for the new year and catch up on what others are doing and thinking. AWS Enterprise Strategy team recommends what books are most important for our AWS customer executives to read.

Best practices for scaling AWS CDK adoption with Platform Engineering – A recent evolution in DevOps is the introduction of platform engineering teams to build services, toolchains, and documentation to support workload teams. This blog post introduces strategies and best practices for accelerating CDK adoption within your organization. You can learn how to scale the lessons learned from the pilot project across your organization through platform engineering.

High performance running HPC applications on AWS Graviton instances – When running the Parallel Lattice Boltzmann Solver (Palabos) on Amazon EC2 Hpc7g instances to solve computational fluid dynamics (CFD) problems, performance increased by up to 70% and price performance was up to 3x better than on the previous generation of Graviton instances.

The new AWS open source newsletter, #181 – Check up on all the latest open source content, which this week includes AWS Amplify, Amazon Corretto, dbt, Apache Flink, Karpenter, LangChain, Pinecone, and more.

Upcoming AWS Events
Check your calendars and sign up for these AWS events in the new year:

AWS at CES 2024 (January 9-12) – AWS will be representing some of the latest cloud services and solutions that are purpose built for the automotive, mobility, transportation, and manufacturing industries. Join us to learn about the latest cloud capabilities across generative AI, software define vehicles, product engineering, sustainability, new digital customer experiences, connected mobility, autonomous driving, and so much more in Amazon Experience Area.

APJ Builders Online Series (January 18) – This online conference is designed for you to learn core AWS concepts, and step-by-step architectural best practices, including demonstrations to help you get started and accelerate your success on AWS.

You can browse all upcoming AWS-led in-person and virtual events, and developer-focused events such as AWS DevDay.

That’s all for this week. Check back next Monday for another Week in Review!

— Channy

This post is part of our Week in Review series. Check back each week for a quick roundup of interesting news and announcements from AWS!