If you want to apply as a support engineer at Datadog you are in the right spot. Read on, it's fun, I promise.
Don't forget to read the References.
- Sign up for Datadog, get the agent reporting metrics from your local machine.
- Bonus question: what is the agent?
- Submit an event via the API.
- Get an event to appear in your email inbox (the email address you signed up for the account with)
- Take a simple web app (in any of our supported languages) that you've already built and instrument your code with dogstatsd. This will create metrics.
- While running a load test (see References) for a few minutes, visualize page views per second. Send us the link to this graph!
- Create a histogram to see the latency; also give us the link to the graph
- Bonus points for putting together more creative dashboards.
Using the same web app from level 2:
- tag your metrics with
support(one tag for all metrics) - tag your metrics per page (e.g. metrics generated on
/can be tagged withpage:home,/page1withpage:page1) - visualize the latency by page on a graph (using stacked areas, with one color per
page)
Same web app:
- count the overall number of page views using dogstatsd counters.
- count the number of page views, split by page (hint: use tags)
- visualize the results on a graph
- Bonus question: do you know why the graphs are very spiky?
Let's switch to the agent.
- Write an agent check that samples a random value. Call this new metric:
test.support.random
Here is a snippet that prints a random value in python:
import random
print(random.random())If you have a question, create an issue in this repository.
To submit your answers:
- Fork this repo.
- Answer the questions in
answers.md - Commit your code for question #4.
- Submit a pull request.
- Don't forget to include links to your dashboard(s)
Load testing