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Real-time Computing

Alibaba Real-time Technologies Implemented by External Enterprises

This article discusses the technical implementation of several real-time visualization projects within the new retail industry.

Flink Course Series (8): Detailed Interpretation of Flink Connector

This article gives a detailed interpretation of Flink Connector from the four aspects: connectors, Source API, Sink API, and the future development of collectors.

Flink Course Series (7): Flink Ecosystems

This article describes how Flink SQL connects to external systems and introduces commonly used Flink SQL Connectors.

Flink Course Series (6): A Quick Start for Using PyFlink

This article introduces the objectives and the development of the PyFlink project as well as its current core features.

Flink Course Series (5): Introduction and Practice of Flink SQL Table

This article mainly introduces the background, concepts, and features of the Flink SQL and Table API.

Flink Course Series (4): Fault Tolerance in Flink

This article mainly introduces Flink fault tolerance mechanism principles along with stateful stream computing, global consistency snapshots, and Flink state management.

Flink Course Series (3): Flink Runtime Architecture

This article focuses on the underlying Flink Runtime Architecture with four parts, including runtime overview, Jobmaster, TaskExecutor, and ResourceManager.

Flink Course Series (2): Stream Processing with Apache Flink

This article describes stream processing with Apache Flink from three different aspects.

Flink Course Series (1): A General Introduction to Apache Flink

This article describes the basic concepts, importance, development, and current applications of Apache Flink.

The Discovery of a Promising Technology

In this article, Zhang Jianfeng, a veteran in the open-source community, explains how to evaluate whether the technology is worth learning using three key dimensions.

Best Practices and Tips for Working with Flink State: Flink Advanced Tutorials

This article gives an overview of Flink State and describes a set of best practices and tips for using states and checkpoints.

How TensorFlow on Flink Works: Flink Advanced Tutorials

This article explains how to use a single engine to implement the entire machine learning process through TensorFlow on Flink.

A Deeper Look Into Apache Flink Time And Window

This article takes a deeper drive into the types and functions of the Window operation in Apache Flink.

How Does Taobao Implement Real-Time Product Selection with Real-Time Computing?

This article describes Alibaba's Blink real-time stream computing technology, which is used to implement real-time product selection

Flink State Management and Fault Tolerance for Real-Time Computing

Alibaba Blink is a real-time computing framework built based on Apache's Flink, aimed at simplifying the complexity of real-time computing on Alibaba's ecosystem.