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haproxy and keepalived install and configuration

On API loadbalancer nodes

echo "install haproxy and keepalived service"
apt install -y haproxy keepalived

echo "copy and move haproxy config"
cat /etc/haproxy/haproxy.cfg
cat <<EOT >> /etc/haproxy/haproxy.cfg
listen Stats-Page

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include player.mk
include example.mk

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FROM python:3.9.18-alpine3.18
RUN pip install pipx invoke[invocations] scrapy scapy beautifulsoup ansible[dockerpy,pywinrm]
WORKDIR /src
COPY tasks.py /src
ENTRYPOINT invoke
CMD --list

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This (and related gists) captures how i created my docker swarm architecture. This is intended mostly for my own notes incase i need to re-creeate anything later! As such expect some typos and possibly even an error...

Installation Step-by-Step

Each major task has its own gist, this is to help with maitainability long term.

1. Install Debian VM for each docker host
2. install Docker
3. Configure Docker Swarm
4. Install Portainer
5. Install KeepaliveD
6. glusterFS disk prep, install & config

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---
## Execute: docker compose up -D ./docker-compose.yml
version: '3'
services:

  autoscale:
    image: gianarb/orbiter:latest
    healthcheck:
      test: ["CMD", "exit 0"]
      interval: 25s

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version: "3.8"

# This should give a high level idea of the approach. 
# The complete solution is too complex and involves multiple internal microservices.
# I have tried to capture core things to consider while some else needs to achieve Docker swarm based auto scalout of workers.

services:
  webserver:
    image: customized/airflow:prod
    environment:

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The MIT License (MIT)

Copyright (c) 2015 J Kishore Kumar

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

denzuko

Leverging FZF for a user interface one can do fuzzy searching with a directory tree and document preview. 

The PTF.py creates that tree then colors the path thus giving a graph of the item searched.

Example Usage includes:
  - More advance Poorman's Mindmap
  - Person/Contact Graph as a filesystem
  - Asset Mapping (with pass(1) and LDAP file system structures)
  - Maps with stow
  - Project Management / Kanboard

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[slashnet]
           client = yes
           accept = 58697
           connect = us.slashnet.org:6697

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FROM python:latest as build
COPY . /src
WORKDIR /src
ENV DEBIAN_FRONTEND=noninteractive
RUN apt install -y libncurses5-dev libncursesw5-dev libsqlite3-dev libcurl-dev libexpat-dev libyajl-dev libgumbo-dev scdoc meson ninja-build 
    meson setup builddir && \
    meson compile -C builddir

FROM scratch
COPY --from=build /src/builddir/* /