The Alibaba Cloud community strives towards making the world more digitally connected and easing your information technology challenges.
Each week, we compile the hottest and most impactful content, including the trending technologies, step-by-step tutorials, knowledge from industry professionals and important figures, and best practices with Alibaba Cloud customers.
Below are this week’s five recommended articles specially curated from Alibaba Cloud community authors:
By Weijie Guo
The Apache Flink community has introduced the Hybrid Shuffle Mode, which combines traditional Batch Shuffle with Pipelined Shuffle to enhance Flink batch processing capabilities. The Hybrid Shuffle breaks scheduling constraints and supports in-memory data exchange without spilling to disk, based on resource availability. The article presents an evaluation of the Hybrid Shuffle in multiple scenarios using Flink 1.17 and analyzes its advantages in detail.
By Summer
When attempting to automate cloud resource management through tools like Python or Terraform scripts, it is crucial to know where the resources should be launched before their creation, or to determine their location before any modifications can be made. In this article, you will be able to learn how to get the Region Code and Availability Zone (AZ) Code of Alibaba Cloud ApsaraDB.
By Alibaba Cloud Indonesia
The article provides a step-by-step guide on how to install and configure Kibana on Ubuntu 20.04. It advises downloading and installing Kibana 8.5, creating a user on Elasticsearch, and configuring Kibana.
By Yibo
In recent years, performance profiling technology has continued to develop with additional functions and significantly improve overhead. In this article, the author presented the context of continuous performance profiling and showcased the ARMS Continuous Profiler through two illustrative examples. Additionally, the design and essential components of the ARMS Continuous Profiler are introduced, along with its salient features.
By Yangkun Ai
Distributed end-to-end tracing analysis technology can help tackle this issue by tracking and recording the transmission process of requests and providing detailed performance data and logs. This article discusses RocketMQ 5.0 and distributed end-to-end tracing analysis, best practices, and trends/thoughts.
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