Debug School: Ayesha

DataDog assigment -4

Ayesha — Thu, 14 Sep 2023 04:54:40 +0000

1. Top 10 metrics/indicators for APM

1 Error rate: This is a measure of how many application requests result in failures

2 Duration (Response time): This metric tracks how long it takes applications to handle requests for resources.

3 Uptime: Uptime measures the total amount of time, in the form of a percentage, that your application is available and responding normally.

4 Memory usage: Tracking how much memory your application uses is crucial for identifying memory leaks that could eventually cause a failure.

5 CPU usage: Assessing CPU usage is important to evaluate the effect of usage on performance.

6 Request rates: Measure your application traffic including spikes, inactivity, or number of active users.

7 Number of instances: Scale your application to meet actual user demand with autoscaling, based on the number of app or server instances running at any one time.

8 Garbage collection: Improve performance by identifying and eliminating the problems caused by heavy memory use in Java or other languages that use GC.

9 Customer experience: Understand and improve upon the user experience by using a combination of Apdex scores and SLA thresholds to measure customer tolerance or satisfaction

2. Top 10 metrics/indicators for Synthetic monitoring

1 synthetics.test_runs (count): The number of Synthetic test runs.

2 synthetics.test_run_steps (count): The number of Synthetic test steps.

3 datadog.estimated_usage.synthetics.api_test_runs (count): Estimated usage for API tests.

4 datadog.estimated_usage.synthetics.browser_test_runs (count): Estimated usage for browser tests.

5 synthetics.api.response (count): The count of API responses we receive.

6 synthetics.http.response.time (gauge): The overall time the request took to be processed.

7 synthetics.http.response.size (gauge): The size of the response in bytes.

8 synthetics.http.redirect.time (gauge): The time spent during redirections.

9 synthetics.http.dns.time (gauge): The time spent resolving the DNS name of the last request.

10 synthetics.http.connect.time (gauge): The time to establish the TCP connection to the server

3. Top 10 metrics/indicators for RUM

1 User Experience: RUM gives you an idea of what kind of user experience your site is offering.

2 Transaction Paths: RUM monitors actual users and captures performance data to shape key metrics, like transaction paths.

3 Responsiveness: This metric measures how quickly your application responds to user interactions.

4 Page Load Times: This is a measure of how long it takes for a page to load from the perspective of a real user.

5 Performance Analysis: RUM provides performance analysis in real time, including all user actions taken and how the various actions impact performance.

6 User Actions: A basic concept of RUM revolves around user actions. A user action is any interaction a user has with your application.

7 User Sessions: A user session is essentially a “user visit” performed in your application.

8 Error Detection: RUM can easily identify problems or errors that occurred during a user’s interaction with your application.

9 Geolocation Breakdowns: This metric provides insights into the geographic locations of your users.

10 User Behavior Insights: With RUM, you can gain insight into the behavior of your users, including the number of customers who return to your site

Datadog assigment-3

Ayesha — Tue, 12 Sep 2023 11:47:10 +0000

1. Write it down a step to collect apache metrices to datadog****

1 Install the Datadog Agent: The Apache check is packaged with the Datadog Agent. Install the Agent on your Apache server

2 Enable mod_status on Apache: Apache web server exposes metrics through its status module, mod_status. If your server is running and mod_status is enabled, your server’s status page should be available at http://your-server-ip/server-status. If that link does not work, it means you need to enable mod_status in your configuration file

3 Configure Datadog Agent for Apache: You need to edit the Datadog Agent’s configuration file for the Apache integration (conf.d/apache.d/conf.yaml). This will allow the Agent to collect logs and metrics from Apache

4 Restart the Datadog Agent: After making these changes, restart the Datadog Agent to start collecting metrics

5 Verify Metrics in Datadog: Log into your Datadog account and verify that the Apache metrics are being collected

2. Write it down a step to collect tomcat metrices to datadog

1 Install the Datadog Agent: The Datadog Agent is required to collect metrics from your Tomcat servers

2 Enable JMX Remote on Tomcat: The Datadog Agent collects Tomcat and JVM metrics exposed by JMX via the JMXFetch plugin13. You need to enable JMX Remote on your Tomcat servers

3 Configure the Datadog Agent for Tomcat: Edit the tomcat.d/conf.yaml file in the conf.d/ folder at the root of your Agent’s configuration directory to collect Tomcat metrics and logs1. See the sample tomcat.d/conf.yaml for all available configuration options

4 Restart the Datadog Agent: After making these changes, restart the Datadog Agent to start collecting metrics

5 Verify Metrics in Datadog: Log into your Datadog account and verify that the Apache metrics are being collected

3. Write it down a step to collect docker metrices to datadog

1 Install the Datadog Agent: The Datadog Agent is required to collect metrics from your Docker containers

2 Configure the Datadog Agent for Docker

3 Restart the Datadog Agent: After making these changes, restart the Datadog Agent to start collecting metrics

4. Write it down a step to collect mysql metrices to datadog

1 Install the Datadog Agent: The Datadog Agent is a piece of software that collects metrics and events from your hosts and sends them to Datadog. You can install it using a script provided by Datadog.

2 Configure MySQL Integration: Once the agent is installed, you need to configure the MySQL integration. This involves creating a configuration file for MySQL in your Agent’s conf.d directory.

3 Configure MySQL for Monitoring: You need to create a new user for Datadog and grant this user specific permissions to enable monitoring.

4 Restart the Agent: After setting up the configuration, you need to restart the Datadog agent to start sending metrics to Datadog.

datadog assignment 2

Ayesha — Tue, 12 Sep 2023 06:38:44 +0000

#1 Top 10 commands of Datadog Agent

datadog-agent status
service datadog-agent stop
service datadog-agent start
service datadog-agent restart
datadog-agent configcheck
datadog-agent diagnose
datadog-agent health
datadog-agent check
datadog-agent completion
datadog-agent config

#2 Locate how to enable Process monitoring in datadog.yaml?

Copy the system-probe example configuration:

sudo -u dd-agent install -m 0640 /etc/datadog-agent/system-probe.yaml.example /etc/datadog-agent/system-probe.yaml
Edit /etc/datadog-agent/system-probe.yaml to enable the process module:

system_probe_config:
process_config:
enabled: true
Restart the Agent:

sudo systemctl restart datadog-agent
Note: If the systemctl command is not available on your system, run the following command instead: sudo service datadog-agent restart

#3 Top 5 Techniques for troubleshooting Datadog Agent

Status: Use sudo service datadog-agent status or sudo systemctl status datadog-agent to check if the Datadog Agent is running.
Logs: Check the logs in /var/log/datadog for error messages.
Configuration: Verify the agent configuration in /etc/datadog-agent/datadog.yaml.
Connectivity: Run sudo datadog-agent info to check if the agent is connected to the Datadog backend.
Firewalls: Ensure ports 443 and 8125 are open if a firewall is running.

Datadog – Day 1 – 11 Sept – 2023

Ayesha — Mon, 11 Sep 2023 07:28:49 +0000

1.What is Obserbability and its advantage?

ans: observability is the extent to which you can understand the internal state or condition of a complex system based only on knowledge of its external outputs. The more observable a system, the more quickly and accurately you can navigate from an identified performance problem to its root cause, without additional testing or coding.

2.Difference betweenb Obserbability Monitoring?

Monitoring is a practice of watching over systems, whereas Observability is about understanding the state of systems.
Monitoring is reactive and often involves alerting based on predefined thresholds, while Observability is proactive and involves understanding why a system behaves the way it does
**
3.What is Datadog?**

Datadog is a SaaS-based data analytics platform that allows developers and IT administrators to observe, track, and visualize key metrics from their applications.

4.What is Datadog Agent and How it works?

The Datadog Agent is a piece of software that runs on your hosts. It collects events and metrics from these hosts and sends them to Datadog, where you can analyze your monitoring and performance data.

5.Component of Datadog Agent and short intro for each

The main components of the Datadog Agent are:

Collector: Runs checks and collects metrics.
Forwarder: Sends payloads to Datadog.
DogStatsD: A Golang implementation of Etsy’s StatsD metric aggregation daemon.
APM Agent: Collects traces.
Process Agent: Collects live process information.