:::info You can execute the code either in your computer or online: online. Create an account in https://repl.it or in your computer. You must have python3 installed and the paho-mqtt library: $ sudo pip3 install paho-mqtt

:::info The code of this section is here  ::: Introduction to the TIG Stack The TIG Stack is an acronym for a platform of open source tools built to make collection, storage, graphing, and alerting on time series data easy. A time series is simply any set of values with a timestamp where time is a meaningful component of the data. The classic real world example of a time series is stock currency exchange price data. 

based on http://www.steves-internet-guide.com/mosquitto-bridge-configuration/ :::info The code of this section is here  ::: An MQTT broker can be executed as a Docker container. This fact provides flexibility when deploying these services, especially in edge devices, like Raspberry Pi or similar. Searching for MQTT, you'll get: $ docker search mqtt

Based on: https://github.com/docker/labs/blob/master/swarm-mode/beginner-tutorial/README.md https://docs.docker.com/engine/swarm/ Check out the documentation on Docker Swarm Mode for more information. :::warning Create your own Docker ID at https://hub.docker.com/signup and… Since this example would require various machine it can be done online using: https://labs.play-with-docker.com/

based on https://training.play-with-docker.com/ops-s1-images/ :::info The code of this section is here  ::: Basic steps First thing you may want to do is figure out how to create our own images. While there are over 8 millions images (as of January 2022) on Docker Hub, it is almost certain that none of them are exactly what you run in your data center today. Even something as common as a Windows OS image would get its own tweaks before you actually run it in production.

Based on: https://docs.docker.com/network/ https://training.play-with-docker.com/docker-networking-hol/ :::info The code of this section is here  ::: Networking overview

based on https://training.play-with-docker.com/dev-stage1/ https://training.play-with-docker.com/ops-s1-hello/ :::warning Create your own Docker ID at https://hub.docker.com/signup and… Option 1: You can download and install Docker on multiple platforms. Refer to the following link: https://docs.docker.com/get-docker/ and choose the best installation path for you.

:copyright: https://codelabs.developers.google.com/codelabs/openthread-simulation/#0 Introduction OpenThread released by Google is an open-source implementation of the Thread networking protocol. Google Nest has released OpenThread to make the technology used in Nest products broadly available to developers to accelerate the development of products for the connected home. The Thread specification defines an IPv6-based reliable, secure and low-power wireless device-to-device communication protocol for home applications. OpenThread implements all Thread networking layers including IPv6, 6LoWPAN, IEEE 802.15.4 with MAC security, Mesh Link Establishment, and Mesh Routing. To understand the terms: mesh, Thread, and OpenThread you have to first watch these videos: in this first video (duration 5:14) Mesh Networking is explained

:::info You can execute the code either in your computer or online: online. Create an account in https://repl.it in your computer. You must have python3 installed and the paho-mqtt library: $ sudo pip3 install paho-mqtt

Introduction to TIG Stacks The TIG Stack is an acronym for a platform of open source tools built to make collection, storage, graphing, and alerting on time series data easy. A time series is simply any set of values with a timestamp where time is a meaningful component of the data. The classic real world example of a time series is stock currency exchange price data.  Some widely used tools are: Telegraf is a metrics collection agent. Use it to collect and send metrics to InfluxDB. Telegraf’s plugin architecture supports collection of metrics from 100+ popular services right out of the box.

Based on: https://docs.docker.com/network/ https://training.play-with-docker.com/docker-networking-hol/ Networking overview One of the reasons Docker containers and services are so powerful is that you can connect them together, or connect them to non-Docker workloads. Docker containers and services do not even need to be aware that they are deployed on Docker, or whether their peers are also Docker workloads or not. Whether your Docker hosts run Linux, Windows, or a mix of the two, you can use Docker to manage them in a platform-agnostic way. This section introduces some basic Docker networking concepts and prepares you to design and deploy your applications to take full advantage of these capabilities.

https://training.play-with-docker.com/ops-s1-images/ Basic steps First thing you may want to do is figure out how to create our own images. While there are over 700K images on Docker Store it is almost certain that none of them are exactly what you run in your data center today. Even something as common as a Windows OS image would get its own tweaks before you actually run it in production. We will start with the simplest form of image creation, in which we simply commit one of our container instances as an image. Then we will explore a much more powerful and useful method for creating images: the Dockerfile. We will then see how to get the details of an image through the inspection and explore the filesystem to have a better understanding of what happens under the hood. An important distinction with regard to images is between base images and child images.

based on https://training.play-with-docker.com/dev-stage1/ https://training.play-with-docker.com/ops-s1-hello/ :::info Option 1: You can download and install Docker on multiple platforms. Refer to the following link: https://docs.docker.com/get-docker/ and choose the best installation path for you.