Name: Amazon Managed Streaming for Apache Kafka (Amazon MSK)
Rating: 9.4 (6 reviews)
Author: Amazon AWS

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### Cluster Management
Users generally appreciate Amazon Managed Streaming for Apache Kafka (Amazon MSK)'s streamlined cluster management capabilities. While some users have encountered challenges with scaling and limitations on configurations, the overall consensus leans towards the convenience and efficiency of Amazon MSK in handling cluster management tasks. The fully managed service aspect of Amazon MSK is highlighted as a significant advantage, allowing users to focus more on application development rather than the complexities of managing clusters. Despite some minor issues with open-source components like zookeeper-nodes, users find that Amazon MSK effectively addresses the pain points associated with Kafka cluster management.

### Broker Services
While some users appreciate the ease of managing producers and consumers efficiently with Amazon Managed Streaming for Apache Kafka (Amazon MSK)'s broker services, others express concerns about limitations and disruptions caused by zookeeper-nodes. The platform's fast broker functionality is acknowledged positively, but the imposed constraints on the number of brokers per account and cluster, storage requirements, and configuration limits are viewed as drawbacks by some users. Despite these mixed sentiments, Amazon MSK offers solutions through features like AWS Management Console and Amazon Kinesis Data Streams to address challenges related to broker services.

### Managed Services
While some users appreciate the ease of deployment and availability of Amazon MSK's managed services, others express concerns about limitations in scaling options. The ability to create and manage clusters using the AWS CLI is highlighted as a strong feature by some reviewers. However, the inability to scale vertically without manual data migration and limited scalability options have led some users to seek alternative providers. Mixed opinions exist regarding the managed services capabilities of Amazon MSK, with some users praising its functionality while others find room for improvement.

### Storage Solutions
Users generally praise Amazon Managed Streaming for Apache Kafka (Amazon MSK)'s efficient storage management capabilities. The distributed data storage system provided by Amazon MSK allows for optimized processing and ingestion of streaming data, enabling real-time stream processing and publication. While some users have expressed concerns about limitations such as the number of brokers per cluster and storage capacity, the convenience of having Amazon MSK manage these services outweighs these drawbacks for many users. The ability to focus on development tasks rather than complex cluster management is a significant advantage highlighted by users utilizing Amazon MSK's storage solutions.

### Data Stream Handling
Users appreciate Amazon Managed Streaming for Apache Kafka (Amazon MSK) for its efficient handling of data streams, allowing for the storage and processing of records in real time. The platform's ability to publish and subscribe to streams of records is particularly lauded for its scalability, speed, and durability. Despite some challenges reported by users, such as issues with cluster upgrades and broker storage scaling, overall sentiment leans towards the positive, with users acknowledging Amazon MSK's strong performance in managing data streams effectively.

Amazon MSK is a managed service enabling users to build and run applications that use Apache Kafka to process streaming data. Apache Kafka is an open-source platform for building real-time streaming data pipelines and applications. With Amazon MSK, use native Apache Kafka APIs to populate data lakes, stream changes to and from databases, and power machine learning and analytics applications.

Confluent Cloud is a cloud-native service for Apache Kafka used to connect and process data in real time with a fully managed data streaming platform. Confluent Platform is the self-managed version.

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Amazon Managed Streaming for Apache Kafka (Amazon MSK)

Complex event processing (CEP) software help a user make conclusions from data drawn from disparate streams of information (or an event cloud), with the goal of discovering hard to find opportunities or threats from high-volume, rapidly-occurring data spanning departments and many different sources. It is used for operational intelligence. CEP is a superset of ESP (event stream processing).

Complex Event Processing

Amazon strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon continues to grow and evolve as a world-class e-commerce platform.

Founded by Jeff Bezos, the Amazon.com website started in 1995 as a place to buy books because of the unique customer experience the Web could offer book lovers. Bezos believed that only the Internet could offer customers the convenience of browsing a selection of millions of book titles in a single sitting. During the first 30 days of business, Amazon fulfilled orders for customers in 50 states and 45 countries - all shipped from his Seattle-area garage.

Amazon's evolution from Web site to e-commerce partner to development platform is driven by the spirit of innovation that is part of the company's DNA. The world's brightest technology minds come to Amazon.com to research and develop technology that improves the lives of shoppers and sellers around the world.

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Amazon MSK

Amazon MSK

Overview

What is Amazon MSK?