Get a Pipeline in CircleCI
This workflow is manually triggered and automatically calls the CircleCI API to retrieve pipeline information for a specified project, allowing users to monitor the pipeline status in real time. It addresses the inefficiency of development and operations teams frequently switching platforms and manually checking pipeline statuses, enhancing the automation and convenience of data retrieval. This workflow is suitable for individuals who need to quickly understand the build and deployment processes, helping them respond promptly to anomalies and significantly improving work efficiency.
Tags
Workflow Name
Get a Pipeline in CircleCI
Key Features and Highlights
This workflow is manually triggered and automatically calls the CircleCI API to retrieve pipeline information for a specified project. It enables quick querying and monitoring of pipeline statuses. The highlight lies in its simplicity—users can obtain real-time data with a single click, without the need to manually log into the CircleCI platform.
Core Problem Addressed
It addresses the inefficiency faced by developers and operations teams who frequently switch platforms and manually check pipeline statuses when managing continuous integration processes. This workflow enhances automation and convenience in obtaining pipeline data.
Use Cases
Ideal for DevOps teams, software developers, and automation testers who need real-time monitoring of CircleCI pipeline statuses. It helps them quickly grasp the current state of build and deployment processes and respond promptly to any anomalies.
Main Process Steps
- Manually trigger the workflow start request;
- Use the configured CircleCI node to call the CircleCI API and fetch pipeline data for the specified project;
- Return and display the pipeline information for further processing or review.
Involved Systems or Services
- CircleCI (Continuous Integration and Continuous Deployment platform)
Target Users and Value
This workflow is especially suitable for development team members and operations personnel who frequently view and manage CircleCI pipelines. It helps save time spent switching platforms and manually querying statuses, thereby improving work efficiency and enabling automated monitoring and management of continuous integration workflows.
v1 Helper - Find Params with Affected Expressions
This workflow is specifically designed for users after upgrading to a new version. It automatically scans all activated workflows to accurately identify parameters affected by changes in expressions in the new version. By automatically recognizing and summarizing the impacted parameters, users can quickly discover and check for potential compatibility issues, thereby reducing upgrade risks and ensuring that workflows run stably in the new version, avoiding interruptions in the production environment. This tool significantly enhances troubleshooting efficiency and is suitable for operations and maintenance personnel as well as automation developers.
Dynamic Credentials Using Expressions
This workflow dynamically receives the user's input of the NASA API key through a form trigger, allowing for flexible credential settings using expressions. After the user submits the form, the workflow calls the NASA API to retrieve the image of the day and redirects the user to the image page via a Webhook. This dynamic credential management approach addresses the limitations of fixed credentials in traditional automated workflows, making it suitable for multi-user or multi-environment automation scenarios, thereby enhancing security and applicability.
RSS to Telegram
This workflow automatically fetches the latest content from a specified RSS source at scheduled intervals, filters out the news that has not been pushed, and sends it to designated users or groups via Telegram. This process not only saves time on manual monitoring and forwarding but also ensures that users can receive the latest information promptly, enhancing the efficiency and accuracy of information retrieval. It is suitable for individuals and teams that require rapid information distribution.
N8N Workflow Auto Backup and Version Management
This workflow is designed to automatically back up and manage workflow versions. By comparing with the GitHub code repository, it promptly identifies changes in the workflow status and automatically updates or creates backup files. It supports scheduled execution and manual triggering, ensuring the timeliness and completeness of backups. This is suitable for DevOps teams and automated operation and maintenance environments, effectively reducing the risk of workflow loss or version confusion, while enhancing team collaboration efficiency and management standardization.
Automated Management of DigitalOcean Droplet Snapshots
This workflow implements automated management of snapshots for DigitalOcean cloud servers. It regularly checks the number of snapshots for all Droplets, automatically deletes the oldest snapshots that exceed a set threshold, and creates new snapshots, ensuring that backups are always up to date and preventing waste of storage resources. This process not only saves operational time but also reduces the risk of errors associated with manual management, enhancing data security and resource utilization efficiency, making it suitable for cloud operations and DevOps teams.
Send the Astronomy Picture of the Day Daily to a Telegram Channel
This workflow automatically retrieves NASA's daily astronomical images and sends the images along with their titles to a designated Telegram channel at a fixed time each day. Through automation, users do not need to manually search for and share content, ensuring continuous updates and reducing operational burdens. It is particularly suitable for astronomy enthusiasts and science popularization channel administrators, enhancing operational efficiency and the interest of channel content.
MCP Server for Managing and Executing n8n Workflows
This workflow establishes an intelligent MCP server to centrally manage and invoke automated workflows, enhancing the management efficiency and flexibility of workflows. It can filter available workflows based on tags, supports dynamic addition, removal, and search, and utilizes memory caching and natural language processing technology, allowing intelligent agents to automatically identify and execute the required workflows for efficient automation of complex tasks. This system is particularly suitable for internal enterprise automation and AI assistant applications, improving the intelligence level of digital transformation.
puq-docker-immich-deploy
This workflow is designed to automate the deployment and management of Docker-based Immich service instances, supporting operations such as starting, stopping, mounting, setting permissions, and retrieving logs for containers. Through API interfaces and SSH remote execution, users can flexibly manage the container lifecycle and achieve one-stop status monitoring and user management. Additionally, the built-in nginx proxy configuration feature ensures stable operation of the service in a reverse proxy environment, making it suitable for cloud service providers, system operations personnel, and enterprise IT teams, thereby enhancing operational efficiency and service delivery quality.