Whiteboard to cloud in minutes using Amazon Q, Amazon Bedrock Data Automation, and Model Context Protocol
TutoSartup excerpt from this article:
With Amazon Q Developer, Amazon Bedrock Data Automation (Bedrock Data Automation) and Anthropic’s Model Context Protocol (MCP), developers can now go from whiteboard sketches and team discussions to fully deployed, secure, and scalable cloud architectures in a matter of minutes, not months... We’re excited to share the Amazon Bedrock Data Automation Model Context Protocol (MCP) server, fo...
With Amazon Q Developer, Amazon Bedrock Data Automation (Bedrock Data Automation) and Anthropic’s Model Context Protocol (MCP), developers can now go from whiteboard sketches and team discussions to fully deployed, secure, and scalable cloud architectures in a matter of minutes, not months... We’re excited to share the Amazon Bedrock Data Automation Model Context Protocol (MCP) server, fo...
Bringing agentic Retrieval Augmented Generation to Amazon Q Business
TutoSartup excerpt from this article:
In the following image, we see how the decomposed queries are displayed and the relevant data retrieved for response generation... As shown in the following image, the information fetched individually for California and Washington vacation policies were synthesized by the LLM and presented in a rich markdown format... In the following image, the user asks tell me about Q with the system providin...
In the following image, we see how the decomposed queries are displayed and the relevant data retrieved for response generation... As shown in the following image, the information fetched individually for California and Washington vacation policies were synthesized by the LLM and presented in a rich markdown format... In the following image, the user asks tell me about Q with the system providin...
Level up data-driven player insights with the updated Game Analytics Pipeline
TutoSartup excerpt from this article:
To address these challenges, Amazon Web Services (AWS) developed the Guidance for Game Analytics Pipeline on AWS, a modular and serverless solution to help studios ingest, store, process, and visualize game event data... Data stack flexibility The guidance now supports Apache Iceberg tables and an option to deploy with Amazon Redshift Serverless, in addition to the existing Apache Hive table su...
To address these challenges, Amazon Web Services (AWS) developed the Guidance for Game Analytics Pipeline on AWS, a modular and serverless solution to help studios ingest, store, process, and visualize game event data... Data stack flexibility The guidance now supports Apache Iceberg tables and an option to deploy with Amazon Redshift Serverless, in addition to the existing Apache Hive table su...
How Karrot built a feature platform on AWS, Part 1: Motivation and feature serving
TutoSartup excerpt from this article:
In this system, the feature platform plays a key role along with the machine learning (ML) recommendation model... The feature platform acts as a data store that stores and serves data necessary for the ML recommendation model, such as the user’s behavior history and article information... This two-part series starts by presenting our motivation, our requirements, and the solution architecture...
In this system, the feature platform plays a key role along with the machine learning (ML) recommendation model... The feature platform acts as a data store that stores and serves data necessary for the ML recommendation model, such as the user’s behavior history and article information... This two-part series starts by presenting our motivation, our requirements, and the solution architecture...
How Karrot built a feature platform on AWS, Part 2: Feature ingestion
TutoSartup excerpt from this article:
In Part 1 of this series, we discussed how Karrot developed a new feature platform, which consists of three main components: feature serving, a stream ingestion pipeline, and a batch ingestion pipeline... We discussed their requirements, the solution architecture, and feature serving using a multi-level cache... Stream ingestion Stream ingestion is the process of collecting data from various...
In Part 1 of this series, we discussed how Karrot developed a new feature platform, which consists of three main components: feature serving, a stream ingestion pipeline, and a batch ingestion pipeline... We discussed their requirements, the solution architecture, and feature serving using a multi-level cache... Stream ingestion Stream ingestion is the process of collecting data from various...
Deploy LLMs on Amazon EKS using vLLM Deep Learning Containers
TutoSartup excerpt from this article:
io/aws-fsx-csi-driver/ helm repo update# Install the AWS FSx CSI Driver helm install aws-fsx-csi-driver aws-fsx-csi-driver/aws-fsx-csi-driver --namespace kube-system Verify that the AWS FSx CSI Driver is running: # Check AWS FSx CSI Driver pods kubectl get pods -n kube-system | grep fsx The following is an example of the expected output: fsx-csi-controller-xxxx 4/4 ...
io/aws-fsx-csi-driver/ helm repo update# Install the AWS FSx CSI Driver helm install aws-fsx-csi-driver aws-fsx-csi-driver/aws-fsx-csi-driver --namespace kube-system Verify that the AWS FSx CSI Driver is running: # Check AWS FSx CSI Driver pods kubectl get pods -n kube-system | grep fsx The following is an example of the expected output: fsx-csi-controller-xxxx 4/4 ...
Momentum And High-Beta Equity Factors Lead Market This Year
TutoSartup excerpt from this article:
The dominance of the momentum factor roars on... At nearly every step this year, this risk factor has outperformed the broad stock market, based on a set of ETFs through yesterday’s close (Aug... The recent rebound in so-called high-beta stocks has lifted this factor to a strong second-place performer so far in 2025...The rest of the factor field is well behind the momentum and high-...
The dominance of the momentum factor roars on... At nearly every step this year, this risk factor has outperformed the broad stock market, based on a set of ETFs through yesterday’s close (Aug... The recent rebound in so-called high-beta stocks has lifted this factor to a strong second-place performer so far in 2025...The rest of the factor field is well behind the momentum and high-...