privacy-preserving-control-plane
A closed-loop control plane for cloud-native distributed systems: forecast-driven autoscaling, streaming-pipeline recalibration, governed ML model lifecycles, and detection paired with automated recovery. Includes zero-shot multilingual PII redaction at the point of processing.
- autoscaling
- data-privacy
- distributed-systems
- gliner
- java
- kubernetes
- mlops
- named-entity-recognition
- observability
- privacy-preserving-ml
- Stars
- 192
- Forks
- 164
- + today
- +5
- Created
- 5mo
Ranking data as of October 12, 2026 (UTC).
Star History
Today, hour by hour
Overview
A closed-loop control plane for cloud-native distributed systems: forecast-driven autoscaling, streaming-pipeline recalibration, governed ML model lifecycles, and detection paired with automated recovery. Includes zero-shot multilingual PII redaction at the point of processing. It ranks #90 on GitTiger, gaining +5 stars on October 12, 2026 (UTC).
The project is written in Java and has 164 forks. It was created 5mo ago.
What it is
The description calls it "a closed-loop control plane for cloud-native distributed systems." It covers forecast-driven autoscaling, streaming-pipeline recalibration, governed ML model lifecycles, and detection paired with automated recovery. It also includes zero-shot multilingual PII redaction at the point of processing. The repository is Java and the metadata license is MIT.
Capabilities described
The description lists the capabilities above. The README preview is short and does not add further features. Topic tags include kubernetes, autoscaling, gliner and observability.
Getting started
The supplied evidence has no installation steps. Use the repository README for setup and configuration.
git clone https://github.com/gbenletoluwase/privacy-preserving-control-plane.git
cd privacy-preserving-control-plane
# see README for setupFrequently Asked Questions
What problem does it address?
The description says it is a control plane for cloud-native distributed systems, covering autoscaling, recalibration, model lifecycles and automated recovery.
Does it redact personal data?
The description says it includes zero-shot multilingual PII redaction at the point of processing.
What license does it use?
The metadata license field is MIT.