- Install the Virtual BMC package in the machine to use as the vBMC server.
Note1: When using OpenStack repos the python3-virtualbmc RPM might be available. These instrucctions do not use that package.
pip3 install virtualbmc- The vBMC server can be running in any machine. When using a remote libvirt server it is recommended to have passwordless authentication from the vBMC server to the libvirt machines.
- For this document the vBMC Server
export vBMCServerIP=192.168.1.13
| # kubectl create secret generic minio-secret \ | |
| # --from-literal=rootUser=your-username \ | |
| # --from-literal=rootPassword=your-secure-password \ | |
| # -o yaml --dry-run=client > minio-secret.yaml | |
| # | |
| # kubectl apply -f minio-secret.yaml -f minio.yaml | |
| --- | |
| apiVersion: v1 | |
| kind: Secret | |
| metadata: |
Millbrook Municipal Planning Department
Publication Date: March 15, 2024
Report ID: MPD-2024-003
Millbrook, incorporated in 1892, serves as a diverse mid-sized city of 47,832 residents spanning 23.4 square miles. The municipality encompasses four distinct neighborhoods: Historic Downtown, Riverside District, University Heights, and New Millbrook. Population density averages 2,043 residents per square mile, with significant demographic variation across districts.
Historic Downtown (Population: 12,847)
-
Identify the
ovs-nodeof the Node hosting the Pods to monitor# oc get pods --selector="app=ovs-node" -o wide NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES ovs-node-4hldj 1/1 Running 0 47h 198.18.100.16 worker-1 <none> <none>
ovs-node-bd9ln 1/1 Running 0 47h 198.18.100.12 master-1
Kubernetes Gateway API implementation that covers the OpenAI Responses API endpoints based on the current documentation.
Core Response Operations:
POST /v1/responses- Create new responses with input, model, and toolsGET /v1/responses/{id}- Retrieve response by IDGET /v1/responses/{id}(with Accept: text/event-stream) - Stream responses in real-timePOST /v1/responses/{id}- Continue/extend existing responsesDELETE /v1/responses/{id}- Delete responses
The ragas_pipeline.py is a Kubeflow Pipeline (KFP) definition on how to run RAGAS evaluations using KFP.
This pipeline is designed as an example pipeline with charactersitics expected for production environments like proper resource management, monitoring capabilities, and comprehensive documentation. You should adjust the components based on your specific RAG evaluation needs and infrastructure setup.
Key Components:
| import csv | |
| import os | |
| def convert_1password_to_apple(input_file, output_file): | |
| """ | |
| Convert a 1Password CSV export file to a format compatible with Apple Passwords. | |
| Apple Passwords import format requires the following columns: | |
| - Title | |
| - URL |
| #!/bin/bash | |
| set -euoE pipefail | |
| # Redfish commands related to Virtual Media. | |
| # Redfish doc reference: https://www.supermicro.com/manuals/other/RedfishRefGuide.pdf | |
| export BMC_ADDRESS='' | |
| export ISO_IMAGE=http://192.168.117.9:8080/ocp4-rwn-1-small.iso | |
| export username_password='Administrator:superuser' |