這是一份來自 Cyber Zootopia 首席管理員的「數碼寶貝飼養日記」。
記錄如何由 0 到 1,召喚並培育數碼寶貝。同時,為了使牠們未來能華麗變身為超級神獸,我同步開闢了專屬的訓練場(Playground)。寄望這些神獸能覺醒「隱藏特性」,代為處理日常生活及工作中的瑣事。究竟這場賽博實驗能進化到什麼程度?就讓我們從這一刻開始,持續觀察記錄下去。
這是一份來自 Cyber Zootopia 首席管理員的「數碼寶貝飼養日記」。
記錄如何由 0 到 1,召喚並培育數碼寶貝。同時,為了使牠們未來能華麗變身為超級神獸,我同步開闢了專屬的訓練場(Playground)。寄望這些神獸能覺醒「隱藏特性」,代為處理日常生活及工作中的瑣事。究竟這場賽博實驗能進化到什麼程度?就讓我們從這一刻開始,持續觀察記錄下去。
# create database
CREATE DATABASE `databaseName`;
# create user
CREATE USER 'my_user'@'localhost' IDENTIFIED BY 'your_strong_password';
# grant privileges
GRANT ALL PRIVILEGES ON my_new_database.* TO 'my_user'@'localhost';
FLUSH PRIVILEGES;
# in docker
docker exec -it container_name mariadb -u root -p
# Create the Database
CREATE DATABASE `dbName`;
# Create the User (Using '%' so you can connect from outside the container)
CREATE USER 'userName'@'%' IDENTIFIED BY 'userPassword';
# Grant Permissions
GRANT ALL PRIVILEGES ON `dbName`.* TO 'dbUser'@'%';
# Apply changes
FLUSH PRIVILEGES;
# Exit the prompt
EXIT;
| Bench Name | (Domain) | Internal Port | Project |
| alpha.com | alpha.com | 8000 | alpha |
| beta.com | beta.com | 8001 | beta |
| gamma.com | gamma.com | 8002 | gamma |
# Replace 'alpha.com' with your actual domain
bench init alpha.com --frappe-branch version-15
cd alpha.com
GitLab真的超吃資源,沒有優化的情況下,要佔用10.9G的RAM。只有自己用,現在RAM的價格,又跟黃金差不多。可能GitLab功能很強,現階段不適用。ChatGPT建議改用Gitea,就來試試看。
# 檢查 docker 狀態
df -h
docker system df
# 清理docker 空間
# Remove all unused data
docker system prune -a --volumes
# Remove build cache
docker builder prune -a
# Check again
df -h
# Stop Docker
sudo systemctl stop docker
# Edit Docker config
sudo nano /etc/docker/daemon.json
# add the following code in daemon.json
{
"data-root": "/new/docker/path"
}
# Create new directory
sudo mkdir -p /new/docker/path
# Move existing data (optional)
sudo rsync -aP /var/lib/docker/ /new/docker/path/
# Start Docker
sudo systemctl start docker
| Rank | Tool | Why it’s popular |
|---|---|---|
| 1 | n8n | General workflow automation; strong community; visual UI. |
| 2 | Node-RED | Mature, widely used in IoT and integrations; broad ecosystem. |
| 3 | Apache Airflow | Very popular in data engineering and ETL use cases. |
| 4 | Activepieces | Newer but rapidly adopted; mentioned in many 2025 tool lists. |
| 5 | Huginn | Known in privacy-focused and scriptable automation circles. |
| 6 | Windmill | Emerging workflow tool, gaining traction. |
| 7 | Kestra | Growing in developer orchestration space. |
# Pron
在APP佈署上,真的比較強。應該是系統內部,內建系統prompts羅輯就比較精細。
# Cron
“You’ve used 75% of your weekly limit”
“You’ve used 75% of your monthly limit”
一堆的token使用量限制,只要超過資費的token使用上限 (日限制 / 週限制 / 月限制),要嘛就等到限制被解除,要嘛就升級方案,就是要多付錢)
# Pron
# Cron
# Pron
# Cron