The Volcano project provides cloud native batch scheduling software within the CNCF ecosystem.
SREWorks
Cloud-native DataOps and AIOps operations are supported by SREWorks, a platform for reliability teams.

About SREWorks
SREWorks is an open-source, cloud-native operations platform for DataOps and AIOps. It provides application-centric SaaS management for delivery and maintenance of cloud-native applications and resources through enterprise application and resource management and O&M development.
It includes standard O&M warehouses, data O&M platforms, and operation centers for DataOps workflows. The repository provides quick install and installation from source code, with documentation in English and Chinese.
Key features
- Enterprise application and resource management for cloud-native apps
- O&M development capabilities for operations workflows
- Standard O&M warehouses for DataOps data handling
- Data O&M platforms supporting big data and AI operations
- Operation centers for end-to-end DataOps closed loop
- Application-centric SaaS management suite for delivery and maintenance
- Open source under Apache-2.0 license
- Documentation and website available in English and Chinese
- Offers quick install and installation from source code
- Listed community chat groups are described as Chinese-language
SREWorks at a glance
- Website
- github.com/alibaba/SREWorks
- Category
- Development › DevOps & Containers
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
SREWorks alternatives
Tools and sites you could use instead, ranked by how closely they match.
Apache Airflow lets users author, schedule, and monitor workflows programmatically.
Use Argo Workflows to programmatically define, schedule, and execute workflows on Kubernetes.
Analyze web server logs in real time with GoAccess, an interactive viewer for terminals or browsers.
envd creates reproducible setups for developing software with people and AI agents.
Docker environments can be managed through Arcane, a modern management interface.
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