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sixeyed / runbook-fluentd-indices-filling.md
Last active April 21, 2025 09:41
Runbook for Fluentd indices filling

Runbook - Elasticsearch Fluentd Indices

Fluentd indices filling in Elasticsearch.

Summary

Centralized log collection from application services goes through Fluentd to Elasticsearch.

Fluentd creates an index for each hour of each day's logs - we do not autmatically clear the indices.

az aks nodepool add -g $rgName --cluster-name $aksName `
-n $nodePoolName `
--mode User `
--enable-cluster-autoscaler `
--node-count 1 `
--min-count 0 `
--max-count $nodeMaxCount `
--node-osdisk-size $aksNodeDiskSize `
--node-vm-size $nodeVmSize `
--vnet-subnet-id $subnetId `
{"keys":[{"kty":"RSA","use":"sig","kid":"-KI3Q9nNR7bRofxmeZoXqbHZGew","x5t":"-KI3Q9nNR7bRofxmeZoXqbHZGew","n":"tJL6Wr2JUsxLyNezPQh1J6zn6wSoDAhgRYSDkaMuEHy75VikiB8wg25WuR96gdMpookdlRvh7SnRvtjQN9b5m4zJCMpSRcJ5DuXl4mcd7Cg3Zp1C5-JmMq8J7m7OS9HpUQbA1yhtCHqP7XA4UnQI28J-TnGiAa3viPLlq0663Cq6hQw7jYo5yNjdJcV5-FS-xNV7UHR4zAMRruMUHxte1IZJzbJmxjKoEjJwDTtcd6DkI3yrkmYt8GdQmu0YBHTJSZiz-M10CY3LbvLzf-tbBNKQ_gfnGGKF7MvRCmPA_YF_APynrIG7p4vPDRXhpG3_CIt317NyvGoIwiv0At83kQ","e":"AQAB","x5c":["MIIDBTCCAe2gAwIBAgIQGQ6YG6NleJxJGDRAwAd/ZTANBgkqhkiG9w0BAQsFADAtMSswKQYDVQQDEyJhY2NvdW50cy5hY2Nlc3Njb250cm9sLndpbmRvd3MubmV0MB4XDTIyMTAwMjE4MDY0OVoXDTI3MTAwMjE4MDY0OVowLTErMCkGA1UEAxMiYWNjb3VudHMuYWNjZXNzY29udHJvbC53aW5kb3dzLm5ldDCCASIwDQYJKoZIhvcNAQEBBQADggEPADCCAQoCggEBALSS+lq9iVLMS8jXsz0IdSes5+sEqAwIYEWEg5GjLhB8u+VYpIgfMINuVrkfeoHTKaKJHZUb4e0p0b7Y0DfW+ZuMyQjKUkXCeQ7l5eJnHewoN2adQufiZjKvCe5uzkvR6VEGwNcobQh6j+1wOFJ0CNvCfk5xogGt74jy5atOutwquoUMO42KOcjY3SXFefhUvsTVe1B0eMwDEa7jFB8bXtSGSc2yZsYyqBIycA07XHeg5CN8q5JmLfBnUJrtGAR0yUmYs/jNdAmNy27y83/rWw
from azure.keyvault.secrets import SecretClient
from azure.identity import DefaultAzureCredential
keyVaultName = input("Enter Key Vault name:")
KVUri = f"https://{keyVaultName}.vault.azure.net"
secretName = "mySecret"
credential = DefaultAzureCredential()
client = SecretClient(vault_url=KVUri, credential=credential)
retrieved_secret = client.get_secret(secretName)
param(
[string] $sqlServerName,
[string] $sqlPassword
)
Start-Transcript -path C:\vm-setup.log
Write-Output '* Setup starting'
Write-Output '** Installing Windows features'
param(
[string] $sqlServerName,
[string] $sqlPassword
)
Write-Output '* Setup starting'
Write-Output '** Installing Windows features'
Install-WindowsFeature Web-Server,NET-Framework-45-ASPNET,Web-Asp-Net45
Write-Output '* Installing Chocolatey'
Set-ExecutionPolicy Bypass -Scope Process -Force
[System.Net.ServicePointManager]::SecurityProtocol = [System.Net.ServicePointManager]::SecurityProtocol -bor 3072
Invoke-Expression ((New-Object System.Net.WebClient).DownloadString('https://community.chocolatey.org/install.ps1'))
Write-Output '* Installing tools'
choco install -y git
choco install -y vscode
Write-Output '-VM setup script done-'
@sixeyed
sixeyed / job.sh
Created June 24, 2019 17:15
Jenkins snippet for remote building on a Docker Swarm node
build_and_push() {
ip=$1
os=$2
arch=$3
docker \
--host tcp://$ip:2376 --tlsverify --tlscacert $ca --tlscert $cert --tlskey $key \
image build --pull -t org/repo:$os-$arch .
@sixeyed
sixeyed / job.sh
Created June 24, 2019 17:15
Jenkins snippet for remote building on a Docker Swarm node
build_and_push() {
ip=$1
os=$2
arch=$3
docker \
--host tcp://$ip:2376 --tlsverify --tlscacert $ca --tlscert $cert --tlskey $key \
image build --pull -t org/repo:$os-$arch .
@sixeyed
sixeyed / windows_on_kube_dceu.md
Created November 30, 2018 13:25 — forked from wsong/windows_on_kube_dceu.md
Kube on Windows demo for DCEU

Windows on Kube

NOTE: This is based on the gist https://gist.github.com/wsong/34beb37ebd5d22c1bf1266aaeea085d4. That gist was used to set up the Dockercon SF demo; this one is for Dockercon EU 2018.

The below instructions describe how to set up a cluster with one Linux manager and one Windows worker such that you can schedule Kubernetes pods with Windows images on the Windows worker.

These instructions are for a Windows Server 2019 node. You can create these nodes on Azure (as of November 27, 2018).

On Azure, I recommend VMs of size D4s v3 or larger (4 CPUs, 16GB memory)