avinashupadhya99

groups:
- name: connectors
  rules:

  # Alert for any instance that is unreachable for >2 minutes.
  - alert: Failed connector task
    expr: sum(kafka_connect_connect_worker_metrics_connector_failed_task_count) > 0
    for: 2m
    labels:
      severity: page

avinashupadhya99

{
  "annotations": {
    "list": [
      {
        "builtIn": 1,
        "datasource": {
          "type": "grafana",
          "uid": "-- Grafana --"
        },
        "enable": true,

avinashupadhya99

global:
  scrape_interval:     15s
  evaluation_interval: 15s

scrape_configs:
  - job_name: Confluent Cloud
    scrape_interval: 1m
    scrape_timeout: 1m
    honor_timestamps: true
    static_configs:

avinashupadhya99

apiVersion: v1
kind: Namespace
metadata:
  name: kuma-demo
  namespace: kuma-demo
  labels:
    kuma.io/sidecar-injection: enabled
---
apiVersion: apps/v1
kind: Deployment

avinashupadhya99

Kind cluster -

kind create cluster --name kuma-k8s-1.24 --image kindest/node:v1.24.7

Port forwards -

kubectl port-forward deploy/kuma-control-plane -n kuma-system 5681

kubectl port-forward deploy/kuma-demo-app -n kuma-demo 8080

avinashupadhya99

{
  "title": "Weather App",
  "description": "",
  "widgets": [
    {
      "id": 2019214410224614,
      "definition": {
        "type": "note",
        "content": "# Weather App\n\nWeather App is a simple Python Flask application that uses the Open Weather Map API to return the weather details of a city. The application is used for demonstrating Datadog APM and RUM capabilities. This dashboard captures the overview of the application.",
        "background_color": "transparent",

avinashupadhya99

{
  "data": {
    "type": "notebooks",
    "attributes": {
      "name": "Datadog Agent Issues",
      "metadata": {
        "type": null
      },
      "time": {
        "live_span": "1h"

avinashupadhya99

echo 'apiVersion: configuration.konghq.com/v1
kind: KongClusterPlugin
metadata:
  name: global-proxy-cache
  annotations:
    kubernetes.io/ingress.class: kong
  labels:
    global: "true"
config: 
  response_code:

avinashupadhya99

apiVersion: argoproj.io/v1alpha1
kind: Workflow
metadata:
  name: network-delay-1669293024
  namespace: litmus
  labels:
    subject: network-delay_litmus
spec:
  arguments:
    parameters:

avinashupadhya99

• Set logs_enabled: true in datadog.yaml file.
• Create conf.yaml file in conf.d/python.d directory with the following contents:

init_config:

instances:

##Log section
logs: