Introduction to sig-mlops
The sig-mlops project is part of the Continuous Delivery Foundation (CDF), focusing on the rapidly evolving field of MLOps, which integrates machine learning (ML) within the broader DevOps practices. This special interest group (SIG) provides a collaborative platform for individuals and organizations interested in exploring and advancing MLOps practices and technologies.
Resources and Community
For anyone interested in joining or learning more about the sig-mlops community, there are several resources available:
- Wiki: The project’s wiki is a comprehensive resource that details ongoing discussions and projects. It is hosted on GitHub and can be accessed here.
- Email and Mailing List: To get involved in conversations and receive updates, interested parties can join the mailing list at [email protected].
- Meeting Notes and Agendas: Agendas and minutes from past meetings provide insight into the SIG's activities and future plans. These can be viewed at this link.
- Slack Community: For real-time discussions, individuals can join the Slack community. The
#sig-mlopschannel can be accessed through this invite link.
Engaging with the Community
The sig-mlops group hosts regular meetings where members discuss various topics related to MLOps. Depending on the locale, the meeting schedule varies:
- US Meetings: The MLOps SIG meets every other week on Thursdays at 9:30 AM Pacific Time. Interested participants can join via Zoom.
- APAC / Oceania Meetings: These meetings are scheduled every four weeks on Thursdays at 10:00 UTC. Specific times can be checked here. Meetings take place over Zoom.
Detailed meeting schedules can also be found on the CDF public calendars, available in both Google and ICS formats.
Ongoing Initiatives
Currently, there is a draft document for 2024 that is open for review and contributions. Members of the community are encouraged to propose changes and improvements, using the Slack channel for discussions to ensure collaborative progress.
Conclusion
The sig-mlops initiative represents a powerful community-driven effort to embrace and enhance the integration of machine learning with established DevOps practices. With a structured platform for collaboration, learning, and development, participants are well-positioned to drive innovations in the MLOps domain. Whether through engaging with meetings, contributing to discussions, or accessing available resources, there are numerous ways for individuals and organizations to take part in this dynamic ecosystem.