This release adds 1 notable feature for engineering teams evaluating rollout.
Published 1mo
Model Serving & MLOps
✓ No known CVEs patched
✓ No known CVEs patched in this version
Topics
agents
ai
aws
azure
cost-optimization
datascience
+13 more
distributed-training
gcp
generative-ai
high-performance-computing
kubernetes
llm
llmops
machine-learning
ml-infrastructure
ml-platform
mlops
model-management
python
Summary
AI summaryArgo conditional input fallback now respects DAG order, tests aligned to conventions, and cards retry get() until reload token appears.
Full changelog
What's Changed
- fix(argo): order conditional input fallback by DAG by @talsperre in https://github.com/Netflix/metaflow/pull/3233
- refactor(tests): plugin tests to follow test conventions and fix regex warning by @agsaru in https://github.com/Netflix/metaflow/pull/3244
- fix one help-text typo by @LuisJG8 in https://github.com/Netflix/metaflow/pull/3268
- fix(cards): retry card.get() until reload token appears in HTML by @npow in https://github.com/Netflix/metaflow/pull/3274
- [kubernetes] extended resources support by @valayDave in https://github.com/Netflix/metaflow/pull/2242
- fix: regression with StepMutator running multiple times in some cases by @saikonen in https://github.com/Netflix/metaflow/pull/3259
- Fix/logs help default command by @LuisJG8 in https://github.com/Netflix/metaflow/pull/3252
- release: 2.19.34 by @saikonen in https://github.com/Netflix/metaflow/pull/3276
Full Changelog: https://github.com/Netflix/metaflow/compare/2.19.33...2.19.34
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