filipecosta90

# To find the percentile of a combined dataset of latency values from two Redis servers,
# you would first need to retrieve the latency data from each server and combine it into
# a single dataset.
# Once you have the combined dataset, you can calculate the desired percentile.

import redis
from hdrh.histogram import HdrHistogram

# connect to shard 1

filipecosta90

package main

import (
	"flag"
	"fmt"
	"github.com/mediocregopher/radix/v3"
	"log"
	"strconv"
	"time"
)

filipecosta90

fco@hpe10:~/go/src/github.com/filipecosta90/go-web-framework-benchmark$ python3 test.py \
       --enable-cpu-affinity --wrk-max-cpus 6 --wrk-connections 100 --pipeline-sizes 100 \
       --web-framework-processing-time-ms 0 --stress-rps 5000000  --output-file stress-test.json

filipecosta90

#!/bin/bash

######################
# time-series creation
######################
# https://oss.redislabs.com/redistimeseries/commands/#tscreate
redis-cli ts.create nyse_AAPL_price RETENTION 120000 LABELS metric price name APPL
redis-cli ts.create nyse_GOOGL_price RETENTION 120000 LABELS metric price name GOOGL
redis-cli ts.create nyse_MSFT_price RETENTION 120000 LABELS metric price name MSFT
redis-cli ts.create nyse_APPL_size RETENTION 120000 LABELS metric size name APPL

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---
- name: Install BCC (BPF Compiler Collection) Package Upstream Stable

  hosts: all
  connection: ssh
  become: yes
  become_user: root
  become_method: sudo
  vars:
    - bccpath: '/usr/share/bcc/tools'

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#!/usr/bin/env python
"""Module and script to parse pub-sub events and write them to Redis hashes."""
import json

import redis

from wikiutils import current_timestamp, pubsub_channel, redis_url

r = redis.Redis.from_url(redis_url)

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#!/usr/bin/env python
"""Module and script to forward events from wikimedia stream to Redis pub-sub."""
import asyncio as aio
import json

import aioredis
from aiohttp_sse_client import client as sse_client

from wikiutils import pubsub_channel, redis_url

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#!/bin/bash

# script to run redis benchmark with different payload, pipeline, and iothreads ( the iothreads are configured on the redis-server VM
# and that argument is only for creating a different file for different redis-server configs

args=("$@")
n=${args[0]}
h=${args[1]}
iothreads=${args[2]}
dir=${args[3]}

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fcosta_oliveira@n1-highcpu-96-redis-server-1:~/STREAM$ ./stream.100M 
-------------------------------------------------------------
STREAM version $Revision: 5.10 $
-------------------------------------------------------------
This system uses 8 bytes per array element.
-------------------------------------------------------------
Array size = 100000000 (elements), Offset = 0 (elements)
Memory per array = 762.9 MiB (= 0.7 GiB).
Total memory required = 2288.8 MiB (= 2.2 GiB).
Each kernel will be executed 10 times.

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#!/bin/bash -x

redis-cli flushall
redis-cli module load /Users/filipeoliveira/redis-porto/RedisGears/redisgears.so
redis-cli module load /Users/filipeoliveira/redis-porto/RedisTimeSeries/src/redistimeseries.so

# Register for new cdn events
redis-cli -x rg.pyexecute < imageserver.py

# Load sample images into cdn:* keys