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demystifying-docker-previous/slides.md
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# You can also start simply with 'default'
theme: seriph
# random image from a curated Unsplash collection by Anthony
# like them? see https://unsplash.com/collections/94734566/slidev
background: https://cover.sli.dev
# some information about your slides (markdown enabled)
title: Welcome to Slidev
info: |
## Slidev Starter Template
Presentation slides for developers.
Learn more at [Sli.dev](https://sli.dev)
# apply unocss classes to the current slide
class: text-center
# https://sli.dev/features/drawing
drawings:
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# slide transition: https://sli.dev/guide/animations.html#slide-transitions
transition: slide-left
# enable MDC Syntax: https://sli.dev/features/mdc
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# open graph
# seoMeta:
# ogImage: https://cover.sli.dev
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# Demystifying Docker
A beginners guide to containerization and beyond
<div @click="$slidev.nav.next" class="mt-12 py-1" hover:bg="white op-10">
Press Space for next page <carbon:arrow-right />
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transition: fade-out
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# Who am I?
Mike Conrad
- 📝 **Text-based** - focus on the content with Markdown, and then style them later
- 🎨 **Themable** - themes can be shared and re-used as npm packages
- 🧑‍💻 **Developer Friendly** - code highlighting, live coding with autocompletion
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<br>
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Read more about [Why Slidev?](https://sli.dev/guide/why)
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Learn more: https://sli.dev/features/slide-scope-style
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# What is a container?
> A method for packaging and securely running an application within an application virtualization environment. Also known as an application container or a server application container. [NIST](https://csrc.nist.gov/glossary/term/container)
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> A container is a standard unit of software that packages up code and all its dependencies so the application runs quickly and reliably from one computing environment to another. A Docker container image is a lightweight, standalone, executable package of software that includes everything needed to run an application: code, runtime, system tools, system libraries and settings. [Docker](https://www.docker.com/resources/what-container/)
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# Problems?
- 📝 **It works on my machine?!?!** - Code behaves differently in development, testing, and production due to differences in environment (OS, dependencies, configurations).
- 🎨 **Dependency conflicts** - Different applications require conflicting versions of the same dependency (e.g., Python 2 vs 3, different Node versions).
- 🧑‍💻 **Slow and error-prone deployments** - Traditional deployments involve manual steps or configuration drift between environments.
::right::
# Solutions
- Containers package the application and its dependencies in a consistent, isolated environment, ensuring it behaves the same everywhere.
- Containers isolate applications and their dependencies from each other and the host system, preventing conflicts.
- Containers provide predictable, repeatable, and scriptable deployments through container images.
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# Problems?
- 📝 **Inefficient resource usage in virtual machines (VMs)** - VMs have high overhead due to running full operating systems, leading to inefficiency.
- 🎨 **Difficult scalability and orchestration** - Scaling applications manually is hard and error-prone.
- 🧑‍💻 **Inconsistent development workflows** - devs all have different setups, leading to inconsistent builds and bugs.
::right::
# Solutions
- Containers share the host OS kernel and are more lightweight, enabling faster startup and denser packing of applications.
- Containers integrate well with orchestrators (like Kubernetes), enabling automated scaling, rolling updates, and fault tolerance.
- Containers standardize development environments using tools like Docker Compose or dev containers.
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