Category: Amazon Managed Streaming for Apache Kafka (Amazon MSK)

Organizations are adopting Apache Kafka and Amazon Managed Streaming for Apache Kafka (Amazon MSK) to capture and analyze data in real time. Amazon MSK helps you build and run production applications on Apache Kafka without needing Kafka infrastructure management expertise or having to deal with the complex overhead associated with setting up and running Apache […]

Today, we are announcing broker removal capability for Amazon Managed Streaming for Apache Kafka (Amazon MSK) provisioned clusters, which lets you remove multiple brokers from your provisioned clusters. You can now reduce your cluster’s storage and compute capacity by removing sets of brokers, with no availability impact, data durability risk, or disruption to your data streaming […]

Real-time data streaming and event processing present scalability and management challenges. AWS offers a broad selection of managed real-time data streaming services to effortlessly run these workloads at any scale. In this post, Nexthink shares how Amazon Managed Streaming for Apache Kafka (Amazon MSK) empowered them to achieve massive scale in event processing. Experiencing business […]

Foundation models (FMs) are large machine learning (ML) models trained on a broad spectrum of unlabeled and generalized datasets. FMs, as the name suggests, provide the foundation to build more specialized downstream applications, and are unique in their adaptability. They can perform a wide range of different tasks, such as natural language processing, classifying images, […]

Amazon MSK Connect is a fully managed service for Apache Kafka Connect. With a few clicks, MSK Connect allows you to deploy connectors that move data between Apache Kafka and external systems. MSK Connect now supports the ability to delete MSK Connect worker configurations, tag resources, and manage worker configurations and custom plugins using AWS […]

The volume of data generated globally continues to surge, from gaming, retail, and finance, to manufacturing, healthcare, and travel. Organizations are looking for more ways to quickly use the constant inflow of data to innovate for their businesses and customers. They have to reliably capture, process, analyze, and load the data into a myriad of […]

This is a post co-written with Rivlin Pereira & Vaibhav Pandey from Tanzu CloudHealth (VMware by Broadcom). VMware Tanzu CloudHealth is the cloud cost management platform of choice for more than 20,000 organizations worldwide, who rely on it to optimize and govern their largest and most complex multi-cloud environments. In this post, we discuss how […]

Amazon Redshift is a fully managed, scalable cloud data warehouse that accelerates your time to insights with fast, straightforward, and secure analytics at scale. Tens of thousands of customers rely on Amazon Redshift to analyze exabytes of data and run complex analytical queries, making it the most widely used cloud data warehouse. You can run […]

Towards the end of 2022, AWS announced the general availability of real-time streaming ingestion to Amazon Redshift for Amazon Kinesis Data Streams and Amazon Managed Streaming for Apache Kafka (Amazon MSK), eliminating the need to stage streaming data in Amazon Simple Storage Service (Amazon S3) before ingesting it into Amazon Redshift. Streaming ingestion from Amazon […]

Amazon MSK Serverless is a cluster type of Amazon Managed Streaming for Apache Kafka (Amazon MSK) that makes it straightforward for you to run Apache Kafka without having to manage and scale cluster capacity. MSK Serverless automatically provisions and scales compute and storage resources. With MSK Serverless, you can use Apache Kafka on demand and […]