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Welcome

Welcome to Warestack's data room!

News

We are now backed by Alchemist!

What is Warestack?

Warestack is an AI-driven platform for managing workflow-related issues. It provides resolutions and actionable observability across all your GitHub Actions in your codebases.

We can help you automate your daily workflow tasks, monitor all your runs from a single dashboard, and expedite releases with one-click resolutions and real-time insights.

What is a Warestack workflow?

  • A workflow in Warestack's context is an automated process that simplifies cloud computing and software development tasks.
  • It manages the orchestration of cloud resources, integrates with providers like Amazon Web Services, and utilizes code repositories with actions like GitHub.
  • These workflows often involve repetitive tasks, such as data analysis and transformation pipelines, critical for maintaining data consistency and integrity.

What are the problems?

  1. OPERATE: You create, edit, and test workflows only by hand, following an iterative process of commit, push, and run.

  2. OBSERVE: You navigate a maze of workflows and set up custom alerting tools to monitor run status and team productivity.

  3. RESOLVE: You fix errors by reading logs and switching between third-party tools and integrations.

What is our solution?

A workflow automation platform.

  • GitHub Actions copilot: A plug-and-play add-on that automatically manages your repeatable and time-consuming tasks. Now your resolve issues and create pull requests when they happen. (1)

    1. It's like learning a new language in every step of the workflow.

  • Proactive copilot: Interacting with the developers can help them understand intentions based on the context of the discussion and guide them in creating and managing workflows. (1)

    1. The copilot maintains a comprehensive overview of your current workflow executions.

  • Workflow observability: A unified dashboard to monitor and manage all your workflows and their executions in one place. Boost your runs with self-hosted runners at infrastructure cost.(1)

    1. Easily explore statistics and metrics without switching between different workflow runs and logs, allowing you to quickly understand what happened during your runs and their current status.

We leverage AI to enhance user interactions and provide customized automation solutions. We don't rely on AI for workflow operations; we are building our own deep tech.

Does the industry need it?

  1. This is a niche market with an apparent problem. Cloud automation is currently valued at $110 billion and is projected to reach $500 billion by 2030. (1)

    1. Big companies like Google, Microsoft, and Redis have already automated their daily tasks using GitHub Actions.

  2. Recent statistics from open-source repositories show high workflow failure rates. (1)

    1. For instance, 15% of Hugging Face, 13% of Next.JS, 10% of Redis, and 10% of TensorFlow workflows failed to run successfully.

  3. There is a high demand for monitoring and one-click resolutions. (1)

    1. For example, Hugging Face workflows generate over 30,000 log lines each, with 5% requiring manual intervention marked as "action required".

Feel free to get in touch for more information. 

admin@warestack.com