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gongzhongqiang pushed a commit to branch dev
in repository https://gitbox.apache.org/repos/asf/streampark.git


The following commit(s) were added to refs/heads/dev by this push:
     new 78ad071b2 [Improve] docker-push schedule improvement (#4305)
78ad071b2 is described below

commit 78ad071b2728c3657421aee29d43907458e408b2
Author: benjobs <[email protected]>
AuthorDate: Sun Nov 2 11:05:10 2025 +0800

    [Improve] docker-push schedule improvement (#4305)
---
 .github/workflows/docker-push.yml |  4 +++-
 README.md                         | 25 ++++++++++++++-----------
 2 files changed, 17 insertions(+), 12 deletions(-)

diff --git a/.github/workflows/docker-push.yml 
b/.github/workflows/docker-push.yml
index b82819bbc..c7172b25d 100644
--- a/.github/workflows/docker-push.yml
+++ b/.github/workflows/docker-push.yml
@@ -19,8 +19,10 @@ name: "Build Docker Image"
 
 on:
   schedule:
-    - cron: '20 06 * * *'
+    - cron: '00 00 * * *'
   push:
+    branches:
+      - release-*
     tags:
       - 'v[2-9]+.[0-9]+.[0-9]+'
 
diff --git a/README.md b/README.md
index b8d727b41..8153f0983 100644
--- a/README.md
+++ b/README.md
@@ -29,22 +29,25 @@ Apache StreamPark
 
 ## 📊 Overview
 
-**StreamPark** is an open-source streaming application development framework 
and cloud-native real-time computing platform. Designed to simplify the 
development and management of streaming applications, StreamPark provides a 
development framework for developing stream processing applications using 
Apache Flink and Apache Spark, alongside a professional management platform. 
The platform covers the full lifecycle of streaming applications, including 
development, debugging, interactive quer [...]
+**StreamPark** is an open-source framework for building and managing real-time 
streaming applications, designed to simplify the end-to-end lifecycle of stream 
processing. It provides a unified development framework for Apache Flink and 
Apache Spark, along with a powerful cloud-native platform for application 
management.
+
+StreamPark enables users to develop, debug, deploy, and operate large-scale 
streaming applications efficiently and consistently.
+Originally named StreamX, the project was renamed StreamPark in August 2022 
and became an Apache Top-Level Project (TLP) in January 2025.
 
 * **Streaming Application Development Framework**
-    * Provides a streaming-application framework to accelerate Apache Flink 
and Spark development, offering prebuilt plug-and-play APIs and connectors.
-* **Real-Time Computing Platform**
-    * Provides a one-stop solution for real-time computing, including 
application development, deployment, management, monitoring, and more.
-* **Supports Batch & Streaming**
+    * Simplifies Flink and Spark streaming development with prebuilt APIs, 
connectors, and templates.
+* **Cloud-Native Real-Time Computing Platform**
+    * Offers a one-stop real-time computing platform for development, 
deployment, monitoring, and operations.
+* **Unified Batch & Streaming Processing**
     * Supports Apache Flink and Apache Spark, enabling both stream processing 
and batch processing.
-* **Supports Multi-engine/Multi-version**
-  * Enables cross-version development and management of Apache Flink and 
Apache Spark applications within a unified framework.
-* **Multi-environment Compatibility**
-    * Compatible with various cluster environments, users can submit Flink and 
Spark applications to standalone clusters, YARN (Hadoop 2.x/3.x), and 
Kubernetes.
+* **Multi-Engine & Multi-Version Support**
+    * Run and manage multi-version Flink/Spark applications.
+* **Multi-Environment Compatibility**
+    * Works on Standalone, YARN (Hadoop 2.x/3.x), and Kubernetes.
 * **Rich Ecosystems**
-    * Compatible with big-data ecosystem tools (e.g., Apache Flink, Apache 
Spark, Apache Paimon, Apache Doris) and ML/AI ecosystems.
+    * Compatible with big-data ecosystem tools (e.g., Apache 
Flink/Spark/Paimon/Doris) and ML/AI ecosystems.
 * **Easy to use**
-    * Only one service, deployment easy, allowing even beginners to get 
started within minutes.
+    * Single-service deployment; go from zero to running jobs in minutes.
 
 <img src="https://streampark.apache.org/image/dashboard-preview.png"/>
 

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