4 Repos
Binding workflow execution to cloud-based container instances for remote processing.
Distinct from Execution Flow Controls: Distinct from execution flow controls: focuses on the infrastructure binding to cloud container services rather than flow control logic.
Explore 4 awesome GitHub repositories matching devops & infrastructure · Cloud Container Execution. Refine with filters or upvote what's useful.
Prefect is a workflow orchestration platform designed to define, schedule, and monitor complex data pipelines as Python code. It functions as a container-native engine that wraps individual tasks in isolated environments, ensuring consistent dependencies and resource allocation across diverse infrastructure. By utilizing a state-machine-based orchestration model, the system tracks execution progress through discrete transitions and persistent event logs to maintain reliable and observable task processing. The platform distinguishes itself through a decoupled worker-API architecture, which sep
Binds flow execution to cloud container instance work pools for remote execution.
Free RPA tool by AI Singapore
Provides a free cloud service and Docker container support for executing automation flows on remote browsers and mobile devices.
DDEV is a container-based local development environment and project manager designed to bootstrap consistent web development stacks. It orchestrates Docker containers to provide isolated Linux environments, integrating web servers, databases, and language runtimes. The project distinguishes itself by automating the complexities of local networking and security, featuring a local HTTPS proxy for SSL certificate automation and wildcard DNS for hostname management. It further enables collaboration by exposing local environments to the internet through tunneling for external project sharing. The
Deploys development environments into remote cloud containers to remove local system dependencies.
This project provides a comprehensive guide and framework for implementing autonomous AI coding assistants within local development environments. It focuses on orchestrating multi-agent teams that can plan, execute, and verify complex software engineering tasks, such as refactoring, bug resolution, and test generation, while maintaining deep awareness of project-specific context and memory. The system distinguishes itself through a robust security-first architecture that enforces granular access controls, execution isolation, and mandatory human-in-the-loop approvals for all file modification
Executes coding tasks in isolated, ephemeral cloud virtual machines that synchronize changes back to the repository.