Part 1 - Beyond log collection, implementing log management best practices
Your logs are key to enhancing APM traces, providing metrics, detecting potential security threats, and maintaining regulatory compliance. Getting the full value from your logs requires more than just collecting and analyzing log lines.
This activity is split in two main parts:
- Part one: We will focus on a Apache logs and use them as example to leverage log parsing, logging without limits, log monitors, and log analytics.
- Part two: We will use a real application fully instrumented to demonstrate how logs can bring context to your metrics and traces.
When you are ready to continue, click Start Scenario.
[Outdated] Beyond Collection: Building Observability with Logs
Running the Agent
Install the Agent to collect logs
In order to collect logs from your environment, the first thing you need to do is to run the Datadog Agent.
Connect to your Datadog application. You should see a new account available just for the workshop if you already have an account associated to your email.
To start log collection, enable the log management product by entering the log menu:
After clicking Getting Started reach out to the Docker Agent instructions to install it with log collection enabled:
Check that the Agent is running with
Once the Agent is running, generate some fake Apache logs with:
docker run -d -it --rm mingrammer/flog -f apache_combined -l -n 100000 -d 0.2
Note: This uses the mingrammer/flog in order to generate fake log in the