Introduction: Summarize the ten common difficulties in the production environment, and 10 technical practical articles to help you complete the whole link process of fault identification, problem location, performance optimization, etc., to achieve accurate understanding of basic concepts to accurate and proficient hands-on operations, and calmly respond to production Technical problems in the environment!
The exclusive download of "Apache Flink Top Ten Technical Difficulties" is here! Summarize the ten common difficulties in the production environment, and 10 technical practical articles to help you complete the entire link process such as fault identification, problem location, performance optimization, etc., to achieve accurate understanding from basic concepts to accurate and proficient hands-on operations, and calmly deal with the production environment Technical problems!
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Highlights
- Summary and sharing by Apache Flink core contributors and first-line production environment users
- The content is comprehensive and rich, covering principle analysis, application practice, demo demonstration, Flink 1.10 ecology, etc.
- Scientific algorithm of cluster planning
- Demo of Flink SQL application
- Troubleshooting and solutions to common problems in the production environment
- Ecological application principles and practice of the latest version of Flink 1.10
table of Contents
In-depth interpretation | 1.02 million lines of code, 1270 questions, what was released in Flink 1.10?
How to determine the cluster planning size from development to production
launch ? Demo: A
practical guide for Flink Checkpoint troubleshooting to build a streaming application based on Flink SQL
How to analyze and deal with Flink back pressure?
Flink on YARN (top): a picture to easily grasp the infrastructure and startup process
Flink on YARN (bottom): common problems and troubleshooting ideas
Apache Flink and Apache Hive integration
Flink Batch SQL 1.10 practice
how to customize Python UDF in PyFlink 1.10 ?
Flink 1.10 Native Kubernetes principle and practice
Detailed introduction to Apache Flink and e-books
Apache Flink, recognized as the best stream computing engine in the industry, is not only limited to stream processing, but a set of big data engines with multiple computing functions such as streaming, batching, and machine learning. With its high throughput and low latency The excellent real-time computing capabilities and the sub-second rapid response to support massive data help enterprises and developers to upgrade their data computing power, and become well-known domestic and foreign companies such as Ali, Tencent, Didi, Meituan, Bytedance, Netflix, Lyft, etc. The first choice for building real-time computing platforms.
The "Apache Flink Top Ten Technical Difficulties in Practice" e-book is shared by Apache Flink core contributors and users of the production environment of first-line manufacturers. The content includes: scientific algorithms for cluster planning, demo demonstrations of Flink SQL applications, troubleshooting and solutions to common problems in the production environment , The latest version of Flink 1.10 ecological application principles and practices, helping big data developers to truly solve the problems of Flink production and application!
The Alibaba Cloud Developer Community-Cangjingge series of e-books, gathers the essence of technology precipitation from major manufacturers, and continues to explode. Click the link to get massive free e-books: https://developer.aliyun.com/topic/ebook
Original link: https://developer.aliyun.com/article/749059?
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