Sedna v0.7.0 release

What's Changed

This version release of Sedna mainly includes the following functional upgrades and optimizations:

• Joint inference supports the Horizontal Pod Autoscaling (HPA) mode, providing more powerful instance scaling capabilities to ensure the maximization of resource utilization. For details: 👉 joint-inference-hpa
• Sedna Controller Enhancements (Joint Inference & Federal Learning). For details: 👉 sedna-controller-enhancement
  • Manage the joint inference instances using the k8s Deployment object
  • Support instance updates for joint inference and federal learning
• Kubernetes & Go Version Upgrades. For details: 👉 version-upgrade
  • Kubernetes version upgraded to v1.30.7
  • Go version upgraded to v1.22.9

The detailed pull requests are as follows:

• Surport Horizontal Pod Autoscaling (HPA) in joint inference by @ajie65 & @tangming1996 in #457 #465

• joint Inference & federal learning controller Enhancements by @SherlockShemol in #437 #438 #445 #446

• Kubernetes & Go version upgrades by @WillardHu in #462

Bug Fixes

• Fixed object search bug related to joint deletion by @tangming1996 in PR #443
• Fixed FederatedLearningJob deletion error by @tangming1996 in PR #467
• Fixed Helm CRD generation error by @tangming1996 in PR #472
• Fixed workflow action version error by @tangming1996 in PR #475

By @tangming1996

New Contributors

• @WillardHu made their first contribution in PR #462
• @ajie65 made their first contribution in PR #457
• @Electronic-Waste made their first contribution in PR #447
• @FuryMartin made their first contribution in PR #441
• @EraKin575 made their first contribution in PR #436
• @SherlockShemol made their first contribution in PR #434

Full Changelog: v0.6.0...v0.7.0