Debug School: Aleena

DD assignment day3

Aleena — Thu, 14 Sep 2023 13:23:04 +0000

1 Top 10 metrics/indicators for APM

Error rates
incidents
latency
request counts
traffic
Uptime
Response times
CPU usage
Requests
Env

2 Top 10 metrics/indicators for Synthetic monitoring

Response Time by Location
Network timings
status
type
name
API Tests
Multistep API Tests
Browser Tests
Private Locations
Continuous Testing

3 Top 10 metrics/indicators for RUM

application details
page performance
collecting browser error
time series
Historical view
Evalution view
time_spent
view.count
error.count
resource.count

DD Day2 Assignment

Aleena — Tue, 12 Sep 2023 12:08:49 +0000

Assignment

1) Enable Live Process monitoring in Datadog Agent

Install Datadog Agent
vi /etc/datadog-agent/datadog.yaml

enable

process_config:
process_collection:

enabled: true

systemctl restart datadog-agent
check status
In Datadog dashboard check in “Infrastructure” tab and select “Processes” to see the list.

2) Write it down a step to collect apache metrices to datadog

Install Apache HTTPD
In Datadog dashboard select integration and search for APACHE. Install it.
Enable mod_status and restart apache
Enable Datadog Apache Integration configuration to start collecting your Apache metrics
vi /etc/datadog-agent/conf.d/apache.d/conf.yaml :- add server details (if needed)
check status
check the Metrix explore in Datadog dashboard

3) Write it down a step to collect tomcat metrices to datadog
Install Open JDK 11
Install Tomcat
Enable JMX Remote in Tomcat in catalina.sh
stop/start tomcat
Enable Tomcat intergration in Datadog agent in /etc/datadog-agent/conf.d/tomcat.d/conf.yaml
Restart datadog-agent and check status
In Datadog dashboard select integration and search for Tomcat. Install it.
Browse : http://ip:8080 for traffic and check in Metrix explore in Datadog dashboard

4)Write it down a step to collect docker metrices to datadog
Install Docker Server
In Datadog dashboard select integration and search for Docker. Install it.
Enable Docker integration with Datadog :- add agent to docker group and configure agent in docker yaml
in /etc/datadog-agent/conf.d/docker.d/conf.yaml add the instance URL details
Restart datadog-agent
check datadog-agent status
Create containers and check the Metrix explore in Datadog dashboard for "Docker"
In Datadog dashboard check in “Infrastructure” tab check containers to list.

5)Write it down a step to collect mysql metrices to datadog

Install and Configure Mysql Server
In Datadog dashboard select integration and search for Mysql. Install it.
create a database user for the Datadog Agent
Grant the user privileges to collect metrics.
Configure Datadog agent to collect metrics.
make changes in /etc/datadog-agent/conf.d/mysql.d/conf.yaml
Restart datadog-agent
check the Metrix explore in Datadog dashboard for "mysql"

DD Assignment2 Day1:Aleena

Aleena — Mon, 11 Sep 2023 11:56:42 +0000

1 Top 10 commands of Datadog Agent

systemctl start datadog-agent
systemctl stop datadog-agent
systemctl restart datadog-agent
systemctl status datadog-agent
datadog-agent configcheck
datadog-agent hostname
datadog-agent version
datadog-agent status
ls /var/log/datadog/
vi /etc/datadog-agent/datadog.yaml

2 Locate how to enable Process monitoring in datadog.yaml

In /etc/datadog-agent/datadog.yaml
enable # process_config:

3 Top 5 Techniques for troubleshooting Datadog Agent

Datadog Agent Process is running or not
Datadog Agent Logs
Datadog Agent Configuration file
Datadog Integration Configuration file
Datadog Agent API Key in datadog.yaml

DD Assignment1:-Aleena

Aleena — Mon, 11 Sep 2023 07:32:51 +0000

What is Obserbability and its advantage?

Obserbability helps in monitoring and the main advantage is it helps identifing the cause of the issues that occurs and in reducing/fixing the issue.

Difference between Obserbability and Monitoring?

Monitoring just monitor the infra/logs/application or what we have configured and will notify in case of any issue. Whereas Obserbability helps in monitoring and troubleshooting via idenfying the root cause.

What is Datadog?

Datadog is a monitoring tool to monitor the performance of application and infra. It is SAAS platform.

What is Datadog Agent and How it works?

Datadog Agent is an agent that runs in the servers and collects the information (events,alerts) and send to the DATADOG

Component of Datadog Agent and short intro for each

It has 3compnents:
1:- collecteor :- It collect infra related logs/events (cpu, memory,Disk usage etc) . Send the details to Fowarder via TCP 17123 port
2:- Dog StatsD :- It collect Application related logs. Send the details to Fowarder via TCP 17123 port
3:- Forwarder :- Forward the events to DataDog