Do NOT Learn Kubernetes Without Knowing These Concepts...
Summary
TLDRTravis from Travis.Media shares his journey of becoming a site reliability engineer and the challenges he faced learning Kubernetes without foundational knowledge. He provides a guide for those interested in Kubernetes, emphasizing the importance of understanding containerization, cloud basics, YAML, networking, and terminal proficiency before diving in. Travis recommends a Udemy course for a comprehensive learning experience and suggests free resources to build a strong foundation in prerequisite skills.
Takeaways
- đ Travis, a former developer turned site reliability engineer, shares his journey and learnings from his initial struggle with Kubernetes due to a lack of foundational knowledge.
- đ The script highlights the growing adoption of Kubernetes, citing a CNCF survey that shows a record high of 96% of organizations using or evaluating it, emphasizing its importance in the industry.
- đ§ The video outlines five prerequisites for learning Kubernetes: understanding containerization and orchestration, cloud basics, YAML for declarative configurations, networking basics, and terminal proficiency.
- đ Containerization is foundational, with Docker being a popular platform for creating container images that package code and dependencies for consistent application deployment.
- âïž Cloud knowledge is essential, especially when Kubernetes is deployed as a managed service in the cloud, which is common with 79% of survey participants relying on cloud platforms for Kubernetes hosting.
- đ YAML is crucial for writing Kubernetes configuration files, known as manifests, which describe the desired state of Kubernetes objects.
- đ Networking basics are necessary for understanding how pods, containers, and services communicate within Kubernetes, including concepts like OSI layers, protocols, and service types.
- đ» Terminal proficiency is key for interacting with Kubernetes clusters using the kubectl CLI, requiring familiarity with Linux commands and editors like vi or Nano.
- đ The script recommends a specific Udemy course for learning Kubernetes, emphasizing its hands-on approach, core concepts section, and frequent sales making it an accessible learning resource.
- đ ïž Travis suggests using a free YouTube video to learn Docker basics and a 4-hour networking basics video for a deeper understanding before diving into Kubernetes.
- đĄ The video concludes by encouraging viewers to ensure they have a good grasp of the prerequisites before learning Kubernetes and to engage in discussion about any additional prerequisites that might be important.
Q & A
What was Travis' initial job role before becoming a site reliability engineer?
-Travis was a developer before he was asked to interview for the position of a site reliability engineer.
Why was Travis initially struggling with Kubernetes?
-Travis was struggling with Kubernetes because he lacked foundational concepts needed to understand it, which made the platform confusing for him.
What does the CNCF annual survey from February 2022 indicate about Kubernetes adoption?
-The survey indicates that a record high of 96% of organizations are either using or evaluating Kubernetes, marking a significant increase from previous years.
What is the importance of understanding containerization before learning Kubernetes?
-Understanding containerization is crucial because Kubernetes is used to orchestrate containers, and having a grasp of container basics helps in comprehending Kubernetes operations.
Can you explain what a Dockerfile is and its purpose?
-A Dockerfile contains instructions for building an image of an application. It is used by Docker to create a container image that includes all the dependencies, code, and commands needed to run the application.
What is the significance of YAML in Kubernetes?
-YAML, or YAML Ain't Markup Language, is used in Kubernetes for writing configuration files called manifests. These files declare the desired state of Kubernetes objects, which Kubernetes then ensures is maintained.
Why is networking knowledge important for learning Kubernetes?
-Networking knowledge is important because Kubernetes requires an understanding of how pods, containers, and services communicate within the cluster and with external destinations.
What is the recommended course for learning Kubernetes according to Travis?
-Travis recommends the 'Certified Kubernetes Administrator with Practice Tests' course on Udemy as the best route to learn Kubernetes.
What is the role of Cast AI in Kubernetes management?
-Cast AI is an all-in-one platform for Kubernetes automation, optimization, security, and cost management. It provides features like savings reports, cost monitoring dashboards, and security reports to help manage Kubernetes clusters efficiently.
Why is terminal proficiency important for interacting with a Kubernetes cluster?
-Terminal proficiency is important because the main way of managing a Kubernetes cluster is through the command line interface (CLI) using tools like kubectl, which requires familiarity with Linux commands and editors like vi or Nano.
What is the significance of the 'Core Concepts' section in the recommended Kubernetes course?
-The 'Core Concepts' section is paramount for beginners as it provides a clear visualization and explanation of Kubernetes components and their interactions, which is essential for understanding the platform.
Outlines
đ Introduction to Learning Kubernetes
Travis introduces his experience as a site reliability engineer and the challenges he faced learning Kubernetes without foundational knowledge. He emphasizes the importance of understanding key concepts before diving into Kubernetes, citing industry adoption statistics from the CNCF annual survey that show a significant increase in Kubernetes usage. Travis promises to share the foundational concepts necessary for learning Kubernetes effectively and suggests a free resource for further learning.
đ Prerequisite Knowledge for Kubernetes
The paragraph outlines the prerequisites for learning Kubernetes, starting with an understanding of containerization and orchestration. Travis explains the concept of Docker containers and the importance of container images as a blueprint for running applications. He also mentions the significance of cloud basics for those deploying Kubernetes in the cloud and introduces the role of YAML in creating declarative configurations for Kubernetes objects. Additionally, he discusses the importance of networking basics and terminal proficiency for managing Kubernetes clusters.
đ§ Practical Tips for Kubernetes Learning
Travis provides practical advice for learning Kubernetes, including the need for hands-on experience with Docker and a basic understanding of cloud services, YAML syntax, networking, and command-line proficiency. He recommends specific resources to get up to speed with these prerequisites, such as a free YouTube video for Docker and the AWS Cloud Practitioner course for cloud concepts. Travis also highlights the benefits of using Cast AI for cost management and optimization of Kubernetes clusters.
đ Recommended Course for Kubernetes Learning
Travis recommends a specific course on Udemy for those ready to learn Kubernetes, detailing its advantages such as hands-on labs, clear explanations of core concepts, and regular sales making it affordable. He describes the course's use of interactive terminals for practice and its helpful visualizations for understanding Kubernetes components. Travis also invites viewers to share their thoughts on additional prerequisites and encourages engagement through likes and subscriptions.
Mindmap
Keywords
đĄSite Reliability Engineer
đĄKubernetes
đĄContainerization
đĄOrchestration
đĄDocker
đĄCloud Basics
đĄYAML
đĄNetworking Basics
đĄTerminal Proficiency
đĄCertified Kubernetes Administrator
Highlights
Travis shares his experience transitioning from developer to site reliability engineer, emphasizing the importance of foundational knowledge in learning new technologies like Kubernetes.
Kubernetes is gaining widespread industry adoption, with a 96% increase in organizations using or evaluating it from 2019 to 2022, according to the CNCF annual survey.
Understanding containerization and orchestration is crucial before diving into Kubernetes, as it is the foundation for deploying containerized applications and services.
Docker is introduced as a popular containerization platform, with a detailed explanation of how to create Dockerfiles and build container images.
Kubernetes is defined as an orchestration environment for automating deployment, management, scaling, and networking of containers.
Travis recommends learning the basics of containerization with Docker before moving on to Kubernetes for a smoother learning curve.
Cloud basics are a prerequisite for Kubernetes learning, especially when deploying in the cloud, which is common with 79% of survey participants using cloud platforms for hosting.
Travis suggests a basic Cloud course, like the AWS Cloud Practitioner course, to familiarize oneself with cloud services that work with Kubernetes.
Cast AI is introduced as a tool for Kubernetes automation, optimization, security, and cost management, which can be particularly useful for cloud-deployed Kubernetes.
YAML, a data serialization language, is essential for writing Kubernetes configuration files, known as manifests, which describe the desired state of Kubernetes objects.
Travis provides a YAML example to illustrate how Kubernetes uses declarative configurations to manage infrastructure.
Networking basics are highlighted as a necessary prerequisite for understanding Kubernetes, especially Linux networking and various service types.
Terminal proficiency is crucial for interacting with Kubernetes clusters using the kubectl CLI, requiring familiarity with Linux commands and editors like vi or Nano.
Travis recommends using aliases in the terminal to streamline interactions with Kubernetes, such as 'kgp' instead of typing 'kubectl get pods'.
A course recommendation is given for the 'Certified Kubernetes Administrator with Practice Tests' on Udemy, praised for its hands-on labs and clear explanation of core concepts.
Travis emphasizes the importance of understanding prerequisites before learning Kubernetes to avoid confusion and ensure a successful learning experience.
The video concludes with an invitation for viewers to share their thoughts on additional prerequisites for learning Kubernetes and to engage in the comment section.
Transcripts
what's up everybody it's Travis here
from travis. media so back in 2019 I
landed a job as a site reliability
engineer prior to that I was a developer
but this local company landed a big
contract and needed a lot of people
quickly and so I was asked to interview
for the position and I landed it but I
wasn't a site reliability engineer it's
a well-defined job title but at this
company it was more like a person that
is tasked to do it all so my first task
or the first contract I found myself on
was containerizing applications and
deploying them to kubernetes well I had
no experience with kubernetes I thought
I could learn it quickly but I soon
learned that I couldn't why because I
didn't know the foundational Concepts
needed first before attempting to
understand kubernetes it made little
sense to me I struggled with it because
of my lack of understanding of the
things you need to know first so in this
video if you're learning kubernetes
you're planning to learn kubernetes or
your company uses it and you just want
to get more familiar with it I'm going
to tell you what those Concepts were
that I lacked so that you can learn earn
them and find more success in your
journey of learning kubernetes so
kubernetes isn't going anywhere in fact
it's gaining more and more adoption in
the industry here's some stats so the
cncf annual survey released in February
2022 with more than 3,800 participants
from six continents produce this number
one a record high of 96% of
organizations are either using or
evaluating kubernetes a major increase
from 83% in 2020 and 78% in 2019 so
record high of 96% of organizations
number two 93% of organizations are
using or plan to use containers in
production and then third more than 5.6
million developers are thought to be
using kubernetes today it's not going
anywhere it's a good time to learn it
but you'll need to know these
foundations first so let's go ahead and
get started with that and I'm either
going to explain these Concepts to you
or I'll point you to a free resource
that I recommend that'll get you up to
speed so go and get familiar with these
first and then go ah head first into
kubernetes and when whenever you're
ready to learn kubernetes be sure to
check out the resource that I mentioned
at the end of this video as I think it's
the best resource out there currently
hands down with all that said let's look
at these prerequisites number one is the
obvious you need to understand
containerization and the orchestration
of containers so here's the big picture
you deploy containerized apps and
services to kubernetes thus it's
Paramount that you understand
containerization now Docker defines a
container as a standard unit of software
that packages up code in all its
dependencies so the application runs
quickly and reliably from one Computing
environment to another so using Docker
as an example which Docker is a popular
containerization platform if you want to
containerize your app you'll first
create a Docker file that has all the
instructions for building an image of
your app so if you're containerizing a
react app you might start off with a
node runtime and then you'll add your
package.json then you'll add your
command to npm install then you'll add
your code then you'll add the npm Run
command that would be your Docker file
and then once you have this file
assembled you would use Docker to build
these instructions into an image and
this container image is the blueprint
for running your app it includes
everything you need to run it all your
dependencies all your codes commands Etc
and this image then becomes a container
at runtime when you run it so when you
run the image it's going to follow those
steps it's going to add your
package.json run npm install copy over
your code npm run and your container's
running so if you go to an image
repository like dockerhub you can find
thousands of of images that you can then
pull down to your computer and run in a
container there's images for pretty much
anything so whoever has the image can
run it and therefore have all the
dependencies and everything needed for
that app to run on its own in an
isolated container you can spin it up
easily you can spin it down you can run
it with multiple copies for high
availability and you can imagine the
ease and portability of such containers
I give it to you it works you give it to
me it works we're all running the same
thing the same blueprint with all of the
same dependencies or let's spend been up
five and load balance between them but
how do these containers work in the big
picture sure it's nice to say you can
run it locally and it works for
everybody but what's the big idea here
well that's where kubernetes comes in
kubernetes is an environment for you to
orchestrate or automate the deployment
the management the scaling the
networking of these containers so prior
to learning and tackling the basics of
kubernetes learn the basics of
containerization with an engine like
Docker it's free learn the basics of
images and containers building and
running them and containerize a few apps
for yourself and you'll be good now I
have a free YouTube video that teaches
you Docker in 1 hour practically and by
the end of it you'll have two
containerized applications a react app
and a WordPress app and I'll show you
how it all works how to download it how
to get started basic commands Etc so
I'll put a link to that below or above
be sure to check that out that will get
you up to speed now the second
prerequisite you'll need prior to
learning kubernetes is cloud Basics
companies often choose to deploy
kubernetes in the cloud as a managed
solution the the cloud provider AWS
Azure Etc manages the kubernetes cluster
on its own virtual machines or servers
and then from there it can tie into all
the other services that that cloud
provider offers like identity and access
logging networking all of that and if
you want to revisit the stats that we
mentioned at the beginning of this video
79% of participants in that survey rely
on cloud platforms for their kubernetes
hosting so say you're working with
Amazon's kubernetes managed service eks
you'll need familiar ity with Cloud
Concepts like virtual machines and load
balancers so consider taking a basic
Cloud course like the AWS Cloud
practitioner course on udemy to
familiarize yourself better with their
services that work with kubernetes now I
do want to mention when you deploy
kubernetes in the cloud it can get
expensive quick without you even
realizing it if you're using or trying
out a cloud managed kubernetes solution
or your company's currently using one
then today's sponsor cast AI can be a
very useful tool for you to get familiar
with let me take a minute to tell you
why so cast AI is the leading all-in-one
platform for kubernetes automation
optimization security and cost
management you simply deploy a
lightweight readonly agent onto your
kubernetes cluster and from there you
get three free features that work within
60 seconds first you get a savings
report telling you how much you could
save by optimizing instance sizes and
types based on your usage two you get a
cost monitoring dashboard breaking
things down over time by tags labels
names spaces Etc and third you get a
security report that scans your cluster
for vulnerabilities and automatically
prioritizes the fixes and that's all
free if you move to a paid plan then you
get much more you can set Automation and
it will Around the Clock monitor your
cluster and rebalance pods to Optimal
configurations and of course like with
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with cast ai's policies that allow you
to specify rules and limits and you
continue to see your savings and changes
made as your cluster gets upscaled and
downscaled it will even utilize spot
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moves you back to On Demand while
there's no capacity and is free to try
out why not but check this if you use
the link below you'll get the paid
optimization feature that I just
mentioned for free for your first
cluster so check out the link below to
take advantage of this deal today back
to the video now the third prerequisite
you'll need to know before attempting to
learn kubernetes is yaml in declarative
configurations yaml which stands for
yaml ain't mark workup language is a
data serialization language for writing
configuration files it's a superet of
Json and in fact every Json file is also
a valid yaml file now the resources in
kubernetes are created in a declarative
way you declare how you want things to
be in kubernetes will make sure that it
meets that declaration and that
declaration is provided in a yaml
configuration file called a manifest
file this manifest file again describes
the desired state of a kubernetes object
and kubernetes will make sure at all
times that it meets that declaration if
you change a value it will change its
infrastructure accordingly so here's an
example of a deployment object written
in yaml this yaml defines a deployment
object with three replicas and there are
four sections there's the API version
which every object gets an API version
there's a kind there's the metadata and
then there's the spec the kind is
deployment the name of this deployment
is engine X deployment as indicated
there in the metadata and under the spec
you see the Pod template specification
indicating that the pods will run one
container engine X and there will be
three pods and once this is defined you
run a cube cuddle apply command with
this file in the argument and the
deployment object is created based on
this configuration declaration so yaml
files are configuration files that house
the Declaration of your kubernetes
objects you can learn the syntax very
quickly with the tutorial like this I'll
put a link below to this I think it's a
good getting started yaml tutorial but
really when you look up an object in the
kubernetes documentation like I looked
up deployments there's so many examples
for you to choose from if you scroll
down it gives you lots of examples you
can just take this copy and paste it and
then work from there and that way you
can figure it out on the go now the
fourth prerequisite before learning
kubernetes is to have a grasp of
networking Basics many developers have a
weakness when it comes to networking and
it has nothing to do with them
personally it's just not really a huge
requirement to writing code it's more
Ops and system admin focused than it is
developer focused but kubernetes
requires at least a base understanding
of networking because of all the moving
parts and how everything's
interconnected with within it and
specifically Linux networking in
kubernetes there's communication between
the pods and the containers within them
there's pod to service networking and
there's networking out to external
destinations and then the services have
different service types like cluster IP
node Port Etc so you'll need to grasp
networking Concepts like OSI layers
protocols IPS DNS gateways routes if you
skip this you'll find things complicated
when you attempt to learn kubernetes
networking was a huge barrier for me and
a big reason why kubernetes was so
difficult at first now if you take that
udemy course that I'm going to recommend
you at the end of this there's a great
networking section in that course that
covers DNS in Docker networking cni TLS
in certificates if you want to go more
in depth with it I'll link below to a
4-Hour YouTube video that'll walk you
through all of these networking Basics
so when you have a free weekend make
sure you check that out and the fifth
prerequisite to learning kubernetes is
terminal proficiency being good at the
command line to interact with your
kubernetes cluster you'll use the cube
cuddle or Cube CTL CLI this will be the
main way of managing your kubernetes
cluster from the terminal thus you'll
need to be proficient with Linux
commands and with using the vi or Nano
editor you'll be using the terminal a
lot and then with Cube cuddle make sure
you use a lot of aliases for instance
never type the word Cube cuddle like
I've been doing always put an alias for
the letter K you want to get pods K get
pods or shorten it to kgp so those are
the five prerequisites make sure you
have a good grasp on them you don't need
to master them you don't need to spend a
year on them just make sure you
understand them well enough so when you
bump up against them in kubernetes
you'll know what to do now for this
course recommendation when you do get
ready to learn kubernetes this is the
best route to go in my opinion the
course that I took at the time and the
course that I recommend is the certified
kubernetes administrator with practice
tests course on udemy it's a real gem
let me give you three reasons why first
the instructor also runs code Cloud
which is a wonderful site for devops and
you get to use all of their labs with
this course so you use their interactive
terminal that's already set up all the
challenges will create pods and
scenarios for you and you'll be able to
use that to solve all of the challenges
of the course this gets you Hands-On and
it gives you lots of practice with
kubernetes there's like 12 15 questions
for everything you learn number two The
Core Concepts section in this course is
Paramount for every beginner in
kubernetes if you try to go to the
kubernetes doxs to get the big picture
you're going to find it very difficult
because there's a lot of moving Parts
like the scheduler the proxy the API
server the cuet and you're bound to get
confused this course gives you a really
really helpful visualization using boats
and a dock to explain how all of the
parts work this explanation was the
light bulb moment for me when first
learning kubernetes and third it's you
to me there's a sale every couple of
days making this course like 14 bucks be
sure you check out travis. media udemy
to find out when the next sale is so you
can pick this course up so I hope this
video was helpful I hope you get through
these prerequisites and learn kubernetes
and find success in your endeavors so
let me ask you what prerequisite did I
leave out what do you think is required
before learning kubernetes I'd love to
hear it if you want leave a comment
below let's get the discussion going if
you found this video helpful give it a
thumbs up if you haven't subscribed
consider doing so and I'll see you in
the next
[Music]
video oh
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