Datadog 101 Course | Datadog Tutorial for Beginners | SRE | DevOps

Summary

In 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

00:00

🐶 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.

05:01

🔬 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.

10:01

📊 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.

15:04

🔌 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.

20:06

📊 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.

25:06

📝 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.

Keywords

💡Datadog

Datadog is a monitoring and analytics platform that provides observability for cloud-scale applications. It enables developers and system administrators to monitor their infrastructure, track application performance, and gain insights into their network and systems. In the video, Datadog is the central theme, with the tutorial focusing on a beginner's course, known as 'Datadog 101,' aimed at teaching users how to leverage its features for monitoring and analytics.

💡Monitoring

Monitoring in the context of the video refers to the act of observing and tracking the performance, health, and availability of systems, applications, and infrastructure. It is a crucial aspect of maintaining and troubleshooting IT environments. The video emphasizes Datadog's role in monitoring various components such as infrastructure, network performance, and application metrics, highlighting its importance in DevOps and site reliability engineering.

💡Analytics

Analytics in this video pertains to the process of examining, interpreting, and drawing insights from data. Datadog's analytics tools allow users to analyze data from various sources to gain a deeper understanding of system behavior, identify trends, and make informed decisions. The video mentions how Datadog can be used for analytics to determine performance metrics and event monitoring.

💡Integration

Integration, as discussed in the video, is the process of combining different software applications and systems to work together seamlessly. Datadog offers integrations with a wide range of tools and platforms, such as AWS, Docker, and Kubernetes, enabling users to collect and analyze data across diverse environments. The video explains how these integrations can be easily set up and managed within Datadog.

💡Dashboard

A dashboard in Datadog is a customizable interface that presents data in an organized and visual manner. Users can create and configure dashboards to display metrics, logs, and other relevant data for quick and easy analysis. The video script mentions creating and using dashboards as a way to visualize data and monitor key performance indicators.

💡Metrics

Metrics in the video refer to quantitative measurements that are collected and analyzed to assess the performance of systems and applications. Datadog collects metrics such as CPU usage, memory usage, and custom metrics, which can be used for long-term statistics and proactive monitoring. The script explains the importance of metrics in understanding system behavior and setting up alerts.

💡Logs

Logs are records of events that occur within systems and applications. In the context of the video, Datadog's log management capabilities allow users to collect, search, and analyze logs for troubleshooting and monitoring purposes. The video discusses how to use Datadog for log monitoring, including filtering logs and setting up log-based monitors.

💡Alerting

Alerting in Datadog is a feature that notifies users of specific conditions or anomalies in their monitored systems. It is used for proactive monitoring to ensure timely responses to issues. The video script includes a demonstration of setting up monitors for alerting purposes, such as sending notifications when certain thresholds are exceeded.

💡Infrastructure as Code

Infrastructure as Code (IaC) is a methodology where infrastructure is managed and provisioned through machine-readable definitions, rather than manually. The video mentions the ability to integrate Datadog with IaC practices, allowing for the automation of monitoring configurations and the management of infrastructure through code repositories.

💡API Key

An API key is a code passed in by computer programs calling an API to identify the calling program, its developer, or its user. In the video, the API key is used to authenticate and authorize the Datadog agent, allowing it to send data to the Datadog service. The script explains the process of creating an API key in Datadog and using it for agent installation and data ingestion.

💡Site Reliability Engineering (SRE)

Site Reliability Engineering is an approach to engineering that incorporates aspects of software engineering and applies them to infrastructure and operations problems. The video is aimed at SRE professionals, teaching them how to use Datadog for infrastructure monitoring and reliability. The script mentions SRE in the context of a course designed for site reliability engineers.

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