AWS Big Data Blog
Category: Amazon Managed Streaming for Apache Kafka (Amazon MSK)
Governing streaming data in Amazon DataZone with the Data Solutions Framework on AWS
In this post, we explore how AWS customers can extend Amazon DataZone to support streaming data such as Amazon Managed Streaming for Apache Kafka (Amazon MSK) topics. Developers and DevOps managers can use Amazon MSK, a popular streaming data service, to run Kafka applications and Kafka Connect connectors on AWS without becoming experts in operating it.
Amazon Web Services named a Leader in the 2024 Gartner Magic Quadrant for Data Integration Tools
Amazon Web Services (AWS) has been recognized as a Leader in the 2024 Gartner Magic Quadrant for Data Integration Tools. We were positioned in the Challengers Quadrant in 2023. This recognition, we feel, reflects our ongoing commitment to innovation and excellence in data integration, demonstrating our continued progress in providing comprehensive data management solutions.
Migrate from Standard brokers to Express brokers in Amazon MSK using Amazon MSK Replicator
Creating a new cluster with Express brokers is straightforward, as described in Amazon MSK Express brokers. However, if you have an existing MSK cluster, you need to migrate to a new Express based cluster. In this post, we discuss how you should plan and perform the migration to Express brokers for your existing MSK workloads on Standard brokers. Express brokers offer a different user experience and a different shared responsibility boundary, so using them on an existing cluster is not possible. However, you can use Amazon MSK Replicator to copy all data and metadata from your existing MSK cluster to a new cluster comprising of Express brokers.
Automate topic provisioning and configuration using Terraform with Amazon MSK
In this post, we address common challenges associated with manual MSK topic configuration management and present a robust Terraform-based solution. This solution supports both provisioned and serverless MSK clusters.
Fitch Group achieves multi-Region resiliency for mission-critical Kafka infrastructure with Amazon MSK Replicator
In this post, we explore how Fitch Group, one of the top credit rating companies, used Amazon MSK and Amazon MSK Replicator to achieve multi-Region resiliency for their mission-critical Kafka infrastructure.
Top 6 game changers from AWS that redefine streaming data
Recently, AWS introduced over 50 new capabilities across its streaming services, significantly enhancing performance, scale, and cost-efficiency. Some of these innovations have tripled performance, provided 20 times faster scaling, and reduced failure recovery times by up to 90%. We have made it nearly effortless for customers to bring real-time context to AI applications and lakehouses. In this post, we discuss the top six game changers that will redefine AWS streaming data.
How REA Group approaches Amazon MSK cluster capacity planning
REA Group, a digital real estate business, uses Amazon Managed Streaming for Apache Kafka (Amazon MSK) and a data streaming platform called Hydro to efficiently share and access large amounts of data across multiple domains and services. This approach allows REA Group to maintain optimal performance and cost-efficiency while scaling to meet growing user demands. In this post, they share their approach to MSK cluster capacity planning.
Build up-to-date generative AI applications with real-time vector embedding blueprints for Amazon MSK
We’re introducing a real-time vector embedding blueprint, which simplifies building real-time AI applications by automatically generating vector embeddings using Amazon Bedrock from streaming data in Amazon Managed Streaming for Apache Kafka (Amazon MSK) and indexing them in Amazon OpenSearch Service. In this post, we discuss the importance of real-time data for generative AI applications, typical architectural patterns for building Retrieval Augmented Generation (RAG) capabilities, and how to use real-time vector embedding blueprints for Amazon MSK to simplify your RAG architecture.
Developer guidance on how to do local testing with Amazon MSK Serverless
In this post, I present you with guidance on how developers can connect to Amazon MSK Serverless from local environments. The connection is done using an Amazon MSK endpoint through an SSH tunnel and a bastion host. This enables developers to experiment and test locally, without needing to setup a separate Kafka cluster.
Publish and enrich real-time financial data feeds using Amazon MSK and Amazon Managed Service for Apache Flink
In this post, we demonstrate how you can publish an enriched real-time data feed on AWS using Amazon Managed Streaming for Kafka (Amazon MSK) and Amazon Managed Service for Apache Flink. You can apply this architecture pattern to various use cases within the capital markets industry; we discuss some of those use cases in this post.