- Add Prometheus, Grafana, and Loki monitoring stack - Include pre-configured dashboards for ML metrics and logs - Add Podman container support with security policies - Implement ML runtime environments for multiple frameworks - Add containerized ML project templates (PyTorch, TensorFlow, etc.) - Include secure runner with isolation and resource limits - Add comprehensive log aggregation and alerting
37 lines
734 B
YAML
37 lines
734 B
YAML
server:
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http_listen_port: 9080
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grpc_listen_port: 0
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positions:
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filename: /tmp/positions.yaml
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clients:
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- url: http://loki:3100/loki/api/v1/push
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scrape_configs:
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# Application log files
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- job_name: app_logs
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static_configs:
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- targets:
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- localhost
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labels:
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job: app_logs
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__path__: /var/log/app/*.log
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# Docker container logs
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- job_name: docker
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static_configs:
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- targets:
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- localhost
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labels:
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job: docker
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__path__: /var/lib/docker/containers/*/*.log
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pipeline_stages:
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- json:
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expressions:
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stream: stream
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log: log
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- labels:
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stream:
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- output:
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source: log
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