AWS Big Data Blog
Tag: Amazon MSK
Introducing Amazon MSK Express Broker power for Kiro
In this post, we’ll show you how to use Kiro powers, a new capability that equips Kiro with contextual knowledge and tooling. You can simplify your MSK cluster management, from initial setup to diagnosing common issues, all through natural language conversations.
Introducing workload simulation workbench for Amazon MSK Express broker
In this post, we introduce the workload simulation workbench for Amazon Managed Streaming for Apache Kafka (Amazon MSK) Express Broker. The simulation workbench is a tool that you can use to safely validate your streaming configurations through realistic testing scenarios.
Export JMX metrics from Kafka connectors in Amazon Managed Streaming for Apache Kafka Connect with a custom plugin
In this post, we demonstrate how you can export the JMX metrics for Debezium connector when used with Amazon MSK Connect.
Building serverless event streaming applications with Amazon MSK and AWS Lambda
In this post, we describe how you can simplify your event-driven application architecture using AWS Lambda with Amazon MSK. We demonstrate how to configure Lambda as a consumer for Kafka topics, including a cross-account setup and how to optimize price and performance for these applications.
Express brokers for Amazon MSK: Turbo-charged Kafka scaling with up to 20 times faster performance
In this post, we walk you through the implementation of MSK Express brokers, highlighting their core features, benefits, and best practices for rapid Kafka scaling.
Break data silos and stream your CDC data with Amazon Redshift streaming and Amazon MSK
Data loses value over time. We hear from our customers that they’d like to analyze the business transactions in real time. Traditionally, customers used batch-based approaches for data movement from operational systems to analytical systems. Batch load can run once or several times a day. A batch-based approach can introduce latency in data movement and […]
Stream Twitter data into Amazon Redshift using Amazon MSK and AWS Glue streaming ETL
This post demonstrates how customers, system integrator (SI) partners, and developers can use the serverless streaming ETL capabilities of AWS Glue with Amazon Managed Streaming for Kafka (Amazon MSK) to stream data to a data warehouse such as Amazon Redshift. We also show you how to view Twitter streaming data on Amazon QuickSight via Amazon Redshift.
Vortexa delivers real-time insights on Amazon MSK with Lenses.io
This post discusses how Vortexa harnesses the power of Apache Kafka to improve real-time data accuracy and accelerate time-to-market by using a combination of Lenses.io for greater observability and Amazon Managed Streaming for Apache Kafka (Amazon MSK) to create clusters on demand.
Best practices from Delhivery on migrating from Apache Kafka to Amazon MSK
August 30, 2023: Amazon Kinesis Data Analytics has been renamed to Amazon Managed Service for Apache Flink. Read the announcement in the AWS News Blog and learn more. This is a guest post by Delhivery. In this post, we describe the steps Delhivery took to migrate from self-managed Apache Kafka running on Amazon Elastic Compute […]
Streaming web content with a log-based architecture with Amazon MSK
Content, such as breaking news or sports scores, requires updates in near-real-time. To stay up to date, you may be constantly refreshing your browser or mobile app. Building APIs to deliver this content at speed and scale can be challenging. In this post, I present an alternative to an API-based approach. I outline the concept […]









