Debug School: Vivek Pandey

Metrices based on monitoring

Vivek Pandey — Thu, 14 Sep 2023 04:52:11 +0000

1 Top 10 metrics/indicators for APM

a) Resource exhausted
b) memory exhausted
c) CPU, disk space utilization
d) response time degradation
e) Host not available
f) process unavailable
2 Top 10 metrics/indicators for Synthetic monitoring
a) availability
b) monitoring unavailable
c) response violation
d) slowdown alert
3 Top 10 metrics/indicators for RUM
a) User response degradation
b) throughput exceeded

Data dog oneagent

Vivek Pandey — Mon, 11 Sep 2023 12:12:57 +0000

1 Top 10 commands of Datadog Agent

systemctl start datadog-agent
systemctl stop datadog-agent
systemctl restart datadog-agent
systemctl status datadog-agent
ls /var/log/datadog/
more /etc/datadog-agent/datadog.yaml
datadog-agent hostname
datadog-agent health
datadog-agent version
more /var/log/datadog/process-agent.log

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

In yaml file we have module Process Collection Configuration
we can enable process monitoring.

3 Top 5 Techniques for troubleshooting Datadog Agent

a) we should copy correct key during installation.
b) if we face data not reporting in datadog UI we should re-start the agent then verify.
c) otherwise, we need to check in yaml file with all configurations.

DataDog Summery:

Vivek Pandey — Mon, 11 Sep 2023 07:29:54 +0000

Observability and its advantage:

_Observability is main module to identify problem or availability of infra component. the advantage of this is we can easily reach to root cause of the problem.

Difference between Observability and Monitoring:

_Using monitoring, we can only monitor availability of resources but using observability we can find the root cause of problem and fix the issue.
_

What is Datadog:

_Datadog is service which we can use to observe our Infra-structure related component like host,app-server,web-server,service,application using matrix, traces and logs.
_

What is Datadog Agent and How it works:

internally datadog agent connect through statsD library and using connector it captures infra details and metrix and send to Data dog UI via Forwarder.

Component of Datadog Agent and short intro for each:

1) StatsD: it is set of libraries and code instructions.
2)Connector: collect data using agent and send to forwarder.
3)Forwarder: it send data to Data dog UI via Forwarder.