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CNCFAI & DataLast term 2026 T1

Fluid

Fluid, elastic data abstraction and acceleration for BigData/AI applications in cloud. (Project under CNCF)

3
Projects
1
Years active
3
In 2026 T1
View on the LFX portal GitHubWebsite
  • Fluid
  • Go
  • CLI tool development
  • LangChain(or other alternative LLM frameworks)
  • +5

Projects

3

2026

3 projects

Term 1 · Mar-May · 3 projects

  • Design and implement a CLI tool to help easily use Fluid

    LFX Mentorship · Listed in the official cohort

    Fluid manages Kubernetes resources (Statefulsets, PersistentVolumeClaims & PersistentVolume, etc.) under two Fluid custom resources CR called Dataset and Runtime. Given a pair of Dataset and Runtime CR, users may want to inspect the underlying resources, check their status and diagnose which part is going wrong. A CLI tool (e.g. a kubectl plugin) for Fluid would be a straightforward way for Fluid's users to easily get such information.

    • Fluid
    • Go
    • CLI tool development
    • LangChain(or other alternative LLM frameworks)
  • Extend Cache Runtime Interface to Support Full Data Lifecycle and In-Place Operations

    LFX Mentorship · Listed in the official cohort

    CNCF - Fluid: Extend cache runtime interface for full data lifecycle (2026 Term 1) Description:Fluid’s existing Generic Cache Runtime interface will be extended to support the complete lifecycle of data operations, including data loading, data processing workflows, and cache-aware data mutations. Additionally, the interface will be enhanced to enable in-place cache upgrades and in-place cache rebuilds—allowing runtime updates and recovery without disrupting workloads or requiring dataset re-provisioning.

    • Fluid
    • Go
    • kubernetes operator development
  • Unify and Modernize Fluid’s Unit Testing Framework and enhance testing coverage

    LFX Mentorship · Listed in the official cohort

    To enhance code quality, maintainability, and developer experience, Fluid plans to migrate its unit testing framework from Testify to Ginkgo + Gomega—a more expressive and behavior-driven testing stack widely adopted in the Go ecosystem. Concurrently, we aim to significantly improve unit test (UT) coverage, raising it from the current 57% to at least 75%, thereby reducing regression risks and strengthening overall system reliability

    • Fluid
    • Go
    • unit testing frameworks (gomonkey
    • ginkgo
    • gomega
    • testify)

Mentors

3