chicagobuss

#!/usr/bin/env python

import boto3
import json

from boto3.dynamodb.conditions import Key, Attr
from datetime import datetime

DIMENSION = 'logicalCpuCount'
TABLE_NAME = 'ms-usage-metering'

chicagobuss

#!/usr/bin/env python3
#
# cc-viz.py
#
# A hastily-thrown together collection of functions that gets confluent cloud metrics into datadog, graphite, or prometheus (or any combination of those)
#

GRAPHITE_HOST = '10.1.2.3'
GRAPHITE_PORT  = 2003
GRAPHITE_METRIC_PREFIX = 'confluent.cloud.kafka'

chicagobuss

FIXED_HOURLY_COSTS = {
    'DISKS': {
        'aws': {
            'us-east-1': {
                'io1': 0.125 / 30 / 24,
                'gp2': 0.1 / 30 / 24,
                'st1': 0.045 / 30 / 24,
                'sc1': 0.025 / 30 / 24
            },
            'us-east-2': {

chicagobuss

### how to upload to gist with bash / curl
DESC="file that I'm uploading"
FNAME="file_to_upload"
FPATH="/tmp/file_to_upload"

# 1. Somehow sanitize the file content
#    Remove \r (from Windows end-of-lines),
#    Replace tabs by \t
#    Replace " by \"

chicagobuss

#####################################
Instance: 10.74.147.10:7203
#####################################

       Matching: 1/350. Bean name: kafka.network:type=RequestMetrics,name=RequestsPerSec,request=OffsetCommit,version=6 - Attribute name: Count  - Attribute type: long
       Matching: 2/350. Bean name: kafka.network:type=RequestMetrics,name=ResponseSendTimeMs,request=FetchConsumer - Attribute name: 50thPercentile  - Attribute type: double
       Matching: 3/350. Bean name: kafka.network:type=RequestMetrics,name=ResponseSendTimeMs,request=FetchConsumer - Attribute name: Mean  - Attribute type: double
       Matching: 4/350. Bean name: kafka.network:type=RequestMetrics,name=ResponseSendTimeMs,request=FetchConsumer - Attribute name: 99thPercentile  - Attribute type: double
       Matching: 5/350. Bean name: kafka.network:type=RequestMetrics,name=ResponseSendTimeMs,request=FetchConsumer - Attribute name: 999thPercentile  - Attribute type: double

chicagobuss

#####################################
Instance: 10.74.147.10:7203
#####################################

       Not Matching: Bean name: kafka.log:type=Log,name=Size,topic=lkc-4vndj__confluent-ksql-ksql-prodtransient_5013047390911865834_1548275444821-KSTREAM-AGGREGATE-STATE-STORE-0000000006-repartition,partition=1 - Attribute name: Value  - Attribute type: java.lang.Object
       Not Matching: Bean name: kafka.cluster:type=Partition,name=InSyncReplicasCount,topic=__consumer_offsets,partition=37 - Attribute name: Value  - Attribute type: java.lang.Object
       Not Matching: Bean name: kafka.network:type=RequestMetrics,name=ResponseQueueTimeMs,request=ListGroups - Attribute name: Count  - Attribute type: long
       Not Matching: Bean name: kafka.network:type=RequestMetrics,name=ResponseQueueTimeMs,request=ListGroups - Attribute name: Min  - Attribute type: double
       Not Matching: Bean name: kafka.network:type=RequestMetrics,name=ResponseQueueTimeMs,request=ListGroups - Attribute name: 50thPercentile  - A

chicagobuss

package main

import (
	"encoding/json"
	"fmt"
	"time"
	"github.com/confluentinc/confluent-kafka-go/kafka"
	"github.com/prometheus/common/model"
)

chicagobuss

{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Sid": "DenyUnEncryptedObjectUploads",
            "Effect": "Deny",
            "Principal": "*",
            "Action": "s3:PutObject",
            "Resource": "arn:aws:s3:::prod-secrets/*",
            "Condition": {

chicagobuss

```#!/usr/bin/env python
"""
Exports Issues from a specified repository to a CSV file
Uses basic authentication (Github username + password) to retrieve Issues
from a repository that username has access to. Supports Github API v3.
"""
import csv
import requests
import sys

chicagobuss

# If you're having problems creating an admin role binding in k8s on GKE, 
# make sure you're a project owner first in the project the cluster is in

# Then you can do this:
~$ kubectl create clusterrolebinding foo-cluster-admin-binding --clusterrole=cluster-admin --user="[email protected]"
clusterrolebinding "foo-cluster-admin-binding" created