Bộ sách luyện thi ETS 2023 LC&RC
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Every enterprise application creates data,
whether it consists of log messages, metrics, user activity, outgoing
messages, or something else. Moving all of this data is just as
important as the data itself. This book’s updated second edition shows
application architects, developers, and production engineers new to the
Kafka open source streaming platform how to handle real-time data feeds.
Additional chapters cover Kafka’s AdminClient API, new security
features, and tooling changes.
Engineers from Confluent and
LinkedIn responsible for developing Kafka explain how to deploy
production Kafka clusters, write reliable event-driven microservices,
and build scalable stream processing applications with this platform.
Through detailed examples, you’ll learn Kafka’s design principles,
reliability guarantees, key APIs, and architecture details, including
the replication protocol, the controller, and the storage layer.
You’ll examine:
How publish-subscribe messaging fits in the big data ecosystem
Kafka producers and consumers for writing and reading messages
Patterns and use-case requirements to ensure reliable data delivery
Best practices for building data pipelines and applications with Kafka
How to perform monitoring, tuning, and maintenance tasks with Kafka in production
The most critical metrics among Kafka’s operational measurements
Kafka’s delivery capabilities for stream processing systems
Categories:
Year:2021
Publisher:O'Reilly Media, Inc.
Language:english
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