Datadog 101 Course | Datadog Tutorial for Beginners | SRE | DevOps
Summary
TLDRIn this tutorial, the host introduces a beginner's course on Datadog, a monitoring and analytics tool for DevOps and SRE teams. The course, named Datadog 101, offers a hands-on lab experience where users can explore Datadog's features like log monitoring, metric tracking, and integrations with cloud services. The host guides viewers on setting up a Datadog instance, navigating through its dashboards, and creating monitors for alerting. The video is designed to help viewers understand Datadog's capabilities and ease of use, encouraging them to leverage the platform for infrastructure and application performance monitoring.
Takeaways
- 😀 The video is a beginner's tutorial on Datadog, aimed at users new to the platform.
- 📈 Datadog is described as a monitoring and analytic tool, useful for performance metrics and event monitoring in both on-premises and cloud infrastructures.
- 🔧 It's highlighted that Datadog is highly customizable and has an easy learning curve, making it accessible for users to create dashboards and metrics.
- 💻 The tutorial includes a demonstration of how to use Datadog's lab infrastructure for learning purposes.
- 👩💻 The presenter encourages viewers to share their experience with Datadog in the comments section.
- 📝 The video guides viewers on how to sign up for a Datadog account and enroll in the 'Datadog 101' course for Site Reliability Engineers (SREs).
- 🧑🏫 The course provides a hands-on lab environment where users can explore Datadog's application, performance, and network monitoring features.
- 🔍 The tutorial covers how to use log monitoring, create monitors for alerting, and explore metrics within Datadog.
- 🛠️ Integrations with various platforms like AWS, Docker, and SSH are discussed, emphasizing the tool's versatility.
- 📊 The video also touches on creating custom dashboards and the importance of using metrics for long-term statistics and proactive monitoring.
Q & A
What is the main focus of the tutorial video?
-The main focus of the tutorial video is to provide a beginner's course on Datadog, covering the basics and how to use it for monitoring and analytics.
What is Datadog according to the video?
-Datadog is described as a monitoring and analytic tool for infrastructure, network performance, serverless monitoring, and cloud cost management.
Why is Datadog important for DevOps and SRE teams?
-Datadog is important for DevOps and SRE teams because it helps in determining performance metrics and event monitoring for both on-premises and cloud services, making it easier to monitor and manage infrastructure.
How can one get started with the Datadog beginner course mentioned in the video?
-To get started with the Datadog beginner course, one should visit learn.datadoghq.com, sign in or create an account, and enroll in the 'Datadog 101' course for site reliability engineers.
What does the Datadog 101 course offer to learners?
-The Datadog 101 course offers a hands-on lab environment, allowing learners to explore Datadog's application performance, network monitoring, and other features through a trial instance.
How can users access the lab infrastructure for the Datadog course?
-Users can access the lab infrastructure by launching the lab through the course interface, which sets up a one-hour lab session for hands-on learning.
What are some of the features and tools available in Datadog as discussed in the video?
-Some of the features and tools available in Datadog include dashboards, monitors, Watchdog, service management, infrastructure monitoring, container map, Kubernetes overview, and log monitoring.
How does Datadog handle log monitoring?
-Datadog handles log monitoring by allowing users to ingest logs from various sources, filter and classify them, and even convert logs into custom metrics for long-term statistics.
What is the purpose of creating monitors in Datadog?
-Monitors in Datadog are used for alerting purposes, allowing users to set up alerts based on specific conditions such as CPU usage exceeding a certain percentage.
How can Datadog be integrated with other systems and services?
-Datadog can be integrated with other systems and services through various integrations available, such as Docker, AWS, and SSH, or by using the Datadog agent for installation on different platforms.
What are some of the visualization options available for dashboards in Datadog?
-Datadog offers various visualization options for dashboards, including time series, top lists, pie charts, and table formats, allowing users to customize and share their dashboards.
Outlines
🐶 Introduction to Datadog 101 Course
The speaker welcomes viewers to a tutorial on Datadog, a monitoring and analytics tool. Aimed at beginners, this 'Datadog 101' course will guide users through the basics of using Datadog, particularly for those interested in monitoring infrastructure. The tutorial will cover how to use Datadog's lab infrastructure for learning and will discuss the importance of Datadog for DevOps and SRE teams. It will also touch on the tool's integration capabilities and ease of use for creating dashboards and monitoring metrics. The speaker invites viewers to share their experience with Datadog in the comments section.
🔬 Hands-On Lab Experience with Datadog
The tutorial transitions into a hands-on lab experience, where the speaker guides viewers on setting up a lab environment. This includes launching a lab infrastructure and accessing a Datadog instance with provided credentials. The lab is designed to offer a practical tour of Datadog's capabilities, including application performance, network monitoring, and site reliability. The speaker emphasizes the importance of the lab for learning and encourages viewers to explore the provided documentation and instructions for a comprehensive understanding of Datadog.
📊 Exploring Datadog's Monitoring and Metrics
The speaker delves into Datadog's monitoring features, focusing on logs and metrics. They demonstrate how to navigate the log explorer, filter logs by error status, and create custom queries. The tutorial also covers the creation of monitors for alerting purposes, explaining how to set up thresholds and notifications. The section on metrics highlights the importance of long-term statistics and proactive monitoring, with a brief mention of integrating with cloud services and the ease of agent-based installations.
🔌 Integrations and Advanced Features in Datadog
This part of the tutorial discusses Datadog's integration capabilities, showcasing integrations with Docker, SSH, and AWS, among others. The speaker explains how to manage API keys, create repositories for infrastructure as code, and install Datadog agents on various platforms. They also touch on the use of pipelines for log management, including filtering and converting logs into metrics for long-term analysis. The tutorial emphasizes the ease of integration and the extensive documentation available for users.
📊 Creating Dashboards and Visualizing Data in Datadog
The speaker introduces the process of creating custom dashboards in Datadog, highlighting the variety of widgets available such as time series, top lists, and pie charts. They demonstrate how to add panels, write queries, and use arithmetic functions to visualize data. The tutorial also covers options for customizing dashboards, sharing them via URL, and setting up automated reports. The speaker encourages viewers to explore these features and use the 14-day trial to learn and practice with Datadog.
📝 Wrapping Up the Datadog Tutorial
In the conclusion, the speaker summarizes the tutorial, emphasizing the importance of hands-on learning with Datadog. They remind viewers of the available resources, such as the 14-day trial and the 'Datadog 101' course, and encourage continued exploration of Datadog's features. The speaker also invites viewers to subscribe to the channel, like, share, and comment for feedback. The tutorial ends with a reminder to make the most of the learning opportunities provided by Datadog.
Mindmap
Keywords
💡Datadog
💡Monitoring
💡Analytics
💡Integration
💡Dashboard
💡Metrics
💡Logs
💡Alerting
💡Infrastructure as Code
💡API Key
💡Site Reliability Engineering (SRE)
Highlights
Introduction to a beginner course on Datadog, aimed at new users.
Overview of Datadog as a monitoring and analytic tool.
Explanation of Datadog's importance for DevOps and SRE teams.
Discussion on Datadog's ease of integration with various infrastructures.
Benefits of Datadog, including its customization and learning curve.
Introduction to Datadog's lab infrastructure for learning.
Instructions on how to sign up for a Datadog account and access the learning lab.
Description of the Datadog 101 course for Site Reliability Engineers.
Details on how to navigate and use the Datadog lab environment.
Demonstration of Datadog's infrastructure monitoring features.
Explanation of Datadog's log monitoring capabilities.
Tutorial on creating monitors in Datadog for alerting purposes.
Overview of Datadog's metric exploration and long-term statistics.
Discussion on Datadog's integrations and how to use them effectively.
Guide on setting up Datadog agents and using API keys for integration.
Introduction to Datadog's log pipeline and filtering capabilities.
Explanation of how to create and customize dashboards in Datadog.
Conclusion and call to action to utilize the Datadog trial for hands-on learning.
Transcripts
Hello friends welcome back to my channel
and uh today we are back with another
exciting and interesting tutorial so in
this video we are going to talk about
data do and it's a very beginner course
for all data do users so this will be a
complete beginner course on data dog
where we will help you to learn the data
dog for a beginner okay so that's why we
call a deog 101 course and uh to get
started on uh this tutorial I will talk
about what is that doit then I will show
you uh how you can learn with the lab
with the lab infrastructure from data do
so I will show you how to make use of
the lab and learn the complete Basics
and the beginner of data do how it can
be used okay so before uh getting into
the lab part as a demo uh what I want to
ask you like if you do you know data do
or have you used it before if you have
used it just put your comments uh know
into this video comment section okay so
for those who don't know data do you
know so the question is like what is
data do right because if you have not
used it you will be un you know not
knowing you know what is because it just
see you know a picture of puppy uh with
you know a dashboard right so as it says
you know the data dog is a s space
monitoring and analytic tools so it's a
monitoring an analytic tool like uh uh
spung you know um you have different
tools which are promit grafana right we
have used lot of tools for monitoring uh
you also had different other tool iink
different tools like you know in it for
devops and SRS they use different tools
to monitor their
infrastructure so from a devops and Sr
uh teams uh using uh data dog is pretty
important because you know if you are
using dat do as one of isier tool for
monitoring you will be using it to
determine your performance metrics as
well as EV event monitoring on both on
Prem or infrastructure or cloud services
so data do is easily integrated with can
be integrated with different kind of uh
infrastructures whether it's an on Prem
or it's in a cloud base or it's a
network systems okay so the benefit of
dat is easily customizable it's a very
easy learning curve we don't have too
much of uh know uh know technical stuff
to learn if you want to create a
dashboards or you know metrics out of it
the Integrations are also really easy
you have an agent based you know
installations where you can collect the
metric you have a lot of Integrations
it's about different uh Integrations uh
from data do perspective I will show you
all those things in the demo video and
you have two 50 product integration like
AWS cloud-based systems you know and you
can easily customize you know for your
need so some example of monitoring like
you can monitor infrastructure Network
performance you can have Network device
serverless monitoring Cloud B Cloud cost
op you know management so different kind
of things you can do with dat
do so all these things you know it's
pretty simple so before you know not
getting too much into the theoretical
discussion I want to show you what I
mean by thata do11 course right so let's
jump into that so in order to get
started on this course what I would like
you to do is go to learn do datadog
hq.com and sign in uh means if you are
not uh an account member you just click
on create an account and you know just
enter your username password you know
your last name email address password
you don't have to put organization if
you are not signing up with your uh
company account you can just use uh uh
simple you know uh blank keep it blank
if you're signing with your company
email or something you can just use your
organization as well so for example I
already logged in and if you search for
data Dog 101 you will have two courses
one is for Sr and another one is
developer so the developer is more of an
application monitor monitoring like you
know the Java or python or different
kind of uh application performance but
this is more uh know since we are
talking more about devops uh stuff like
infrastructure monitoring I will go for
site reliability engineer you can just
sign up for it and you can see it's
completely free so you can just click on
enroll for
free okay since I already registered you
know uh uh
I'm getting into the enroll
now we will see how we can use because
this is a complete like a demo course
where you will be getting a lab
infrastructure as well as you can uh try
everything you know uh in this tutorial
so you can see this will take you Hands
On Tour all data do application
performance network monitoring okay and
uh useful uh for site reliability and as
related to De uh devops
okay so uh you will need the AP PMs and
know npm for network analysis and but
you know you will get all this
information here like you can see it
says application performance here it
says uh Network performance you can see
it's intruction let's mark it is uh
completed now you can see you know uh
this will uh give you a lab environment
so this is a instructions configuring
how to do so I'm not going to do going
through all these steps because uh I
will uh show you a little bit of in the
demo you know you can click on this PDF
uh which will give you quite a lot of
instructions how to set up uh
stuff just waiting to load so you can
see throughout the lab each section you
know you can navigate so it's it give
you the instruction how to set up all
those things okay now let's uh mark this
as complete let's go to the
lab okay so now we are going going to
set up our infrastructure for handson
lab okay so what you need to do is you
can press the launch button and uh it's
one hour
know
lab so let's click on
it so the lab is getting
created let's wait for a few
minutes okay so the lab is ready so you
click on start once your lab is
ready now you will get get the
instructions because you can see your
data do credential to log in your
website so what you can do is you can
just click on this it will open a data
do instance and you can log in with this
uh
user
name and uh the password so you just
need to select it's copied you just
paste and log in so this is where uh you
know the interesting part comes because
now you have a complete uh data do
instance where you can uh play around
with so you can see you have one host
reporting to data dog you can you know
everything is already set up for you so
you can also read through this uh
documentation because it will give you
clear picture on a lot of stuff okay
so uh I I I'm not going through the
documentation but the you can also go
through you know the instruction here so
what it says throughout this lab it give
you a lot of information you know if you
in casee if you like if you clear this
uh screen and you lose your user ID and
password what you need to do is just
write
credits and you you can get the you know
URL login and the username password at
any point of time so that's good now
let's go to tracing so when application
is configured correctly it's TR all you
know there are quite a lot of
information but I will let you read
through so for me I want to show you
data do okay now what data do you have
so you have uh a dashboard where you can
list the dashboard so you don't uh have
a dashboard yet I think you have
monitors you have Watchdog you have
service management you have
infrastructure this is pretty
interesting because if you have you know
any infrastructure you just go to host
map you will get all the information now
you have two host which are uh
monitoring this you can also see like
like container map if there are some
containers running you can see there is
uh six containers running you can also
see kubernetes overview if it's
integrated
to through using you know uh kubernetes
no it's not okay and interesting thing
you know you have 14 days you know uh to
play around with this okay so you have
14 days to learn anything you want okay
and uh you can see the EPM uh
application management where you can
explore if you have traces of all the
kind of
things okay
so you can see application performance
monitoring okay so uh we're not going to
touch about that much uh mainly you know
what I would like to touch is uh logs
and metrics so if you're uh trying to do
you know capturing different logs into
Data do this will be an interesting part
you you'll be able to explore all the
logs here okay so let's get started with
this
okay start using log
monitorings uh so okay let's see if
there are some locks in
this okay so you can see already there
are some locks and you can see it is
pretty easy you know to have a clear
classification because it have different
kind of from which host it is coming
from which source and you know you have
different kind of categories whether
it's Error only so and to filter it it's
pretty easy you just click on error only
so you have know already you know a
search with status eror only and you it
will filter only these things and you
know it's easy you know to add different
queries you can just add it here what
kind of HSE you want what kind of source
it's like you know Source uh know by
python or something like that so you
know Source colon colon python so it
will give you only the source of python
you can see it's automatically filter
with that it's not a know rocket science
uh I've seen it's pretty easy to create
all these uh things and it's even easy
to know convert uh these into different
kind of uh query different adding
queries you can even download you can
even convert into the into a dashboard
you know you can uh create monitor from
this monitor means like you know
whenever there is a alerting you want to
do so monitor is mainly for uh alerting
purpose I don't know if we have any
monitors no we don't have it so if I go
back and if I want to create a monitor
let's
see what it will give you like you know
now we have different kind of monitoring
uh options you know we have uh uh for uh
how you want to count you have you know
uh how how how frequent you have to do
you know at what threshold you have to
do you know you need to write this query
of this uh one first and based on is
like you know if you have like a CPU
which is going more than 50% or
something you can put that alert should
be at more than 50 percentage and uh you
you can configure you know uh text
message how you want to do it you know
to whom you want to send it so
everything you can do it you know on
this you can see Define permissions
right so it's it's it's easy it's not
the complicated one as I mentioned once
you start using it's pretty easy for you
to Define uh all these kind of things so
as I mentioned monitor is mainly for
alerting purpose so you set a uh you
know configuration you can see I think
there is already one
here so you can see there is already an
aler here already monitoring case so you
can see it is already doing uh these
things okay so as I mentioned uh what I
want to show you is like okay now we are
in the dashboard okay there are some
dashboard as well so you can see there
is already some Integrations here so how
do I see the integration is here okay so
okay before we get into the let's talk
about metrix okay there are two things
right metrix and logs logs is coming uh
from the logs which we are ingesting
where Matrix is uh pulled from you know
the system BAS based on like whether
it's the CP usage or you know different
kind of metric memory usage right and
metrics are used mainly for a long-term
statistics okay so if you are not using
long long-term statistics I think metrix
is not enough it's not benefit and also
if you're not using for any alerting or
uh proactive monitoring I think Matrix
is there is no point in use metrics
right because you need the metric for
some purpose of action to improve your
system right so you can see there AUD
metric and it's it's like you know you
can see different kind of metric is a
ined system CPU right and uh you and you
can easily navigate you know from uh
know uh these kind of things to
different metrics as well like you view
in metrix in
summary so you should be able to see you
know how these are captured like this is
coming from this environment this host
and this is the instant ID so you know
all this information you can see it in
the this uh screen and the different
kind of metrics okay let's uh go to
explore metrics
again maybe let's see summary how many
metrics are
there so you can see there are quite a
lot of metrics like data do Agent P
agent running these are mainly the data
dog metrics okay once you integrate with
your uh system you will have more system
metrics so that would be great let's
talk about integration okay so you can
see the integration you have
uh different kind of integration but now
I think we are integrated with Docker
and SSH you have uh a lot of other
integration that postrest python ruby.
net and uh AWS is one of interesting one
you know you can see Amazon ec2 Amazon
ECS you know uh pkss so you can easily
integrate lot of thing from cloud you
know you don't need much of uh work but
if you you know it's also easy like if
you're using configuration uh as code
infrastructure as code so what you can
do is you can create a repository and
you can put all this configuration in
there and you can apply all these things
through there so you don't need to you
know uh do it manually uh from here so
you can see there will be more uh
customize one from Marketplace uh an
agent you know uh for installation of
datadog agent on your uh platforms like
you know if you have on Prem uh
instances it's pretty easy as well for
example if you want to ingest your locks
from a Windows uh On Prom instance it's
pretty simply you have uh diog agent you
just install the agent you need to
create an API key it's it's it's easily
you can create an API key from your
account so it should be uh over your
account let me see you should be able to
create API key here okay so you can see
your API Keys you can uh create it from
here so know this is your account you
can see like your plan and usage where
you you'll know how it is getting
charged usually datadog has a charging
method of how many host or the usage and
you how many custom metrics you use uh
how much uh locks you inch so there is a
different calculation on that do usage
and you also have you know the users you
can manage your users over here you can
create teams you can create you know
different permissions so all kind of
these things you can use use using you
know the users and teams roles you can
create your own roles like you know
whether it's a admin role read only R
standard
Ro uh you also have audit trial you know
application keys and know API key which
I mentioned okay so what you need to do
have is you have need to have an API key
and you need to install the agent uh so
that you know the agent can send those
uh locks or metric to your uh uh data
instance whichever whe you know which
this is the test instance but you have
once you have your uh own uh setup in
your company or you know for your
learning
uh you can use the API key and the same
way you know you have a different uh
method you know it's whether it's a
Docker if you want to install agent if
you don't you if you don't want to use
um the you know the integration which I
showed uh if you want to use uh an agent
installation it's pretty easy you can
use the docker agent uh command uh it's
Docker run and you going to create a
create again you need the API key and uh
to which uh site you want uh run the
know this will this is for here uh know
you need to change based on which site
you is your data doog age instances then
you need
to uh and you know you can run these
commands and it will know install uh
your agent so you can uh send your
information you have it for red
hat so it's pretty simple installation
it's not uh complicated everything is
properly
documented uh let me show you something
else as well uh let me go back to your
locks log
explorer was it in log
Explorer okay
um okay I wanted to show you like you
know if you go to your locks and you
have something called
pipeline this is also pretty interesting
because you can have pipelines where you
can uh write uh the configuration what
you want to ingest in your locks so you
don't need to do it here but as I
mentioned you can do everything most of
things as uh infrastructure as code but
you can also do the filtering you know
for your what you're uh ingesting into
your indexes you know you can have uh
multiple filters mentioning that I don't
want you know uh index uh something you
know which is only for wanting you can
exclude it here you can write the filter
so that you know uh you don't want to
have everything ingested into your data
dog so you can you know have different
options like just like a normal uh you
know Monitoring Solutions you have a
different pipeline to uh find you know
what kind of things are interested you
have uh standard attributes you have
indexes you have loog forwarding you
have you know different uh gen you can
even convert you know logs into metrics
that's something pretty interesting
because sometimes you know we don't want
to keep the uh logs for long so we just
convert into the
metrix so this is something which uh we
usually use because if there are some
locks which we don't want to keep and we
just convert that into metric custom
metric and we use that to create the
know long-term statistics out of it so
uh that's also pretty interesting so I
think you know as I mentioned you also
have different kind of dashboards so
once you integrate uh with uh no lot of
Integrations in it automatically usually
create lot of dashboard then you know
the one which we create we can create it
by ourself so if I go and create a new
dashboard you know it's like a simple
one again you know you just create
dashboard you have a lot of widgets you
have you know time series you have uh
know query series topl list list table
teer map pie chart it's very easy you
know if I want to just go with time
series just add a panel and you know you
just add know whatever you want so it's
a Time series if you want to have top
list you just uh add a top list and you
know you fil you write your queries from
everywhere or just from some uh only
from this component and you want to
average it by you know host name or you
know or you want the know some know it's
a different uh categories you know it's
it's just writing a normal query you can
have it like this or you can even uh
convert into like a writing a query by
yourself or you just select your this
from here or you can have ajent format
you can edit you can share it with you
know different kind and it have lot of
options here you know you can keep
adding like um uh arithmetic functions
rate rolling up so if you want to have
it like every you know uh
every minute every hour so you can you
can add keep things because I don't want
to take too much of your time on these
things but this is uh I just want to
show you there are different options you
just need to figure out you know what
you can use you can even add you know
multiple queries and you can use some
functions like you know you add a plus b
or a B so you know you can uh get the
metrics added up as well
so it's know not as I mention Rock and
sides you know just a simple method you
know how we can do it and you also have
different options like you want to show
it in different Legends you have
different uh visualizing format you can
have overriding unit you have you can
also add links on some of these things
so when you click it goes to those link
uh so let me just change this uh view
probably to something
different uh let's see well let's you
can select you know this top list now
let's say we take uh pie chart where is
the pie there is no pie chart for this
okay here pie chart so you can see it's
a pie chot you can know have different
colors from here whatever you want you
know you have a different Legend you
know whether you want to show up on the
right what it is or if you don't want to
show up you have uh different
configuration options over here and uh
you know you also have as I mentioned
you know I will let you uh go through
all these things because uh know I just
wanted to show you there are different
options where you can easily pick and uh
you can even you know share this um uh
know this dashboard with others using
URL you can export as a Json file you
can copy you can create some reports so
that this uh uh dashboard is shared with
you every week within an email uh kind
of these things so it's it's not uh not
complicated as I mentioned just try to
start using it and you will be able to
easily learn so you know as I mentioned
you get this benefit of data do you know
you can going back to the lab okay I
think we closed the lab so going back to
the lab I would say you know you just
follow the instructions over here and uh
you know you use this um data do uh
instant 40 days of trial you can easily
learn uh all this datadog uh uh
information you want to do you can uh do
all the Hands-On you set up your
infrastructure if you want you can uh
add more logs you can uh push those
things into your data instance and uh
okay uh you start learning from it okay
so you can see this the DAT instance I
created and you know it's uh you can
also see who's the author of it because
this is currently this account and you
can even uh Delete you know you can uh
control this permissions for all this
datadog instance uh using what kind of
permission you
need
so I think I have covered most of
everything uh APM is more of uh
monitoring you know the application side
like database is monitoring the
performance monitoring uh of an
application mainly like Java based or
python or node or different kind of
application instance uh which is more
from my application monitoring point of
view which uh it's clearly explained
over here application monitoring how to
set up apms you know how to configure
the traces for your
applications and all kind of things are
you know describe here like whether it's
a python based application or Ruby Ser l
so this kind of information you if you
are going to use it yes you can use this
instruction and you can learn from it
you can see it's they have given example
of uh some database or some discount
services so how to trace the logs and
everything it's all all given here
okay I think I covered quite a lot of
information here uh you should be able
to learn from
this uh the you know these are all uh
know something which you can learn by
your yourself I wanted to show you more
like there is an option for learning
data do using this one1 course you have
a lab instance where you can get the DAT
uh account which is uh available for 14
days make use of it enjoy learning you
inest your logs you do whatever you want
and uh be expert on the data dog that's
what I will say and uh improve your
skills so I hope this is helpful thank
you for watching and uh if if you are
new to my channel I would request you to
subscribe like my video share and give
your comments in the feedback section so
until next time we see you in the new
video thank you
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