Gourav J. Shah initcron

kubectl get secret -n monitoring prom-grafana -o jsonpath="{.data.admin-password}" | base64 --decode ; echo

Following is a crisp, battle-tested playbook for running databases on Kubernetes—what to do, what to avoid, and how to keep them safe, fast, and recoverable.

Before you start

Default to managed DBs if possible (RDS/Aurora/Cloud SQL/AlloyDB/Atlas). Run on K8s only when you need: portability, custom extensions, tight sidecar/tooling, or cost control with commodity nodes.
Use an Operator, not raw manifests. Prefer mature operators (e.g., Crunchy/Percona for Postgres & MySQL, Vitess for MySQL sharding, PXC/MongoDB Enterprise/StackGres, RabbitMQ Operator for queues). Operators give sane HA, backups, upgrades, and day-2 ops.

Core architecture

StatefulSets + Headless Services for stable identities and volumes.

switch to instavote namespace

kubectl config set-context --current --namespace=instavote

helm uninstall -n dev instavote 
kubectl delete deploy vote redis db result worker  -n instavote 
kubectl delete svc vote redis db result -n instavote

Event Driven Auto Scaling with KEDA

Configure Prometheus

Install Prometheus with Grafana with helm

helm repo add prometheus-community https://prometheus-community.github.io/helm-charts

Create a namespace

kubectl create namespace instavote 
kubectl config set-context --current --namespace=instavote

git clone https://github.com/schoolofdevops/instavote-kustomize.git

rag/build_index.py

# rag/build_index.py
import argparse, json
from pathlib import Path
from typing import Dict, Any, Iterable, Tuple, List

# ---------- common snippet renderers ----------

What’s happening

That log line:

Overriding ... dispatch key: AutocastCPU ... new kernel: ... ipex-cpu ...
INFO ... Automatically detected platform cpu.

means IPEX’s autocast kernels replaced the default ones. With --dtype=float16 on CPU, PyTorch/ipex either upcasts or hits slow/non-vectorized code paths and can “hang” at model load/compile.

	# airbnb_mcp.py
	from textwrap import dedent

	from agno.agent import Agent
	from agno.models.google import Gemini
	from agno.tools.mcp import MCPTools
	from agno.tools.reasoning import ReasoningTools
	from agno.os import AgentOS

	---
	apiVersion: networking.k8s.io/v1
	kind: Ingress
	metadata:
	name: vote
	namespace: instavote
	spec:
	ingressClassName: nginx
	rules:
	- host: vote.example.com

	apiVersion: apps/v1
	kind: Deployment
	metadata:
	name: vote
	namespace: default
	spec:
	replicas: 2
	selector:
	matchLabels:
	app: vote