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If you want to apply as a support engineer at [Datadog](http://datadog.com) you are in the right spot. Read on, it's fun, I promise.

If you want to apply as an engineer at [Datadog](http://datadog.com) you are in the right spot.
<a href="http://www.flickr.com/photos/alq666/10125225186/" title="The view from our roofdeck">
<img src="http://farm6.staticflickr.com/5497/10125225186_825bfdb929.jpg" width="500" height="332" alt="_DSC4652"></a>

# The Challenge

Don't forget to read the **References**.

## Questions

### Level 1

* 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)

### Level 2

* Take a simple web app ([in any of our supported languages](http://docs.datadoghq.com/libraries/)) 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.

### Level 3

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 with `page:home`, `/page1` with `page:page1`)
* visualize the latency by page on a graph (using stacked areas, with one color per `page`)

### Level 4

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?

### Level 5

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:

```python
import random
print(random.random())
```

## Instructions
If you have a question, create an issue in this repository.

To submit your answers:
# Why work at Datadog?

1. Fork this repo.
2. Answer the questions in `answers.md`
3. Commit your code for question #4.
4. Submit a pull request.
5. Don't forget to include links to your dashboard(s)
We tackle some of the hardest technical problems while delivering a product that "just works" for our customers. And we are backed by some of the best VCs in NYC and the world.

## References
Do you want to make a difference? Are you exceptional at your job, and intrinsically motivated by it? Do you eat hard problems for breakfast and find them beautifully simple solutions by lunchtime? Do you ever wish you were there in the early days of these startups everyone is talking about?

### How to get started with Datadog
If so, we want to hear from you.

* [Datadog overview](http://docs.datadoghq.com/overview/)
* [Guide to graphing in Datadog](http://docs.datadoghq.com/graphing/)
[source](http://jobs.datadoghq.com/)

### The Datadog API and clients
# The Positions

* [API docs](http://docs.datadoghq.com/api)
* [Guide to the Agent](http://docs.datadoghq.com/guides/basic_agent_usage/)
* [Libraries](http://docs.datadoghq.com/libraries/)
* [Guide to Metrics](http://docs.datadoghq.com/guides/metrics/)
1. Support Engineer: check out the `support-engineer` [branch](https://github.com/DataDog/hiring-engineers/tree/support-engineer) of this repository.
2. Solutions Engineer: check out the `solutions-engineer` [branch](https://github.com/DataDog/hiring-engineers/tree/solutions-engineer) of this repository.
3. Devops Evangelist: check out the `devops-evangelist` [branch](https://github.com/DataDog/hiring-engineers/tree/devops-evangelist) of this repository.

### Extending the Agent

* [Writing an agent check](http://docs.datadoghq.com/guides/agent_checks/)
# How do I submit my results?

### Tools you may need
1. Fork this repository.
2. Check out the branch that interests you.
3. Commit your work.
4. Submit a pull request against this upstream repository.

Load testing
* [ab](https://httpd.apache.org/docs/2.2/programs/ab.html)
* [tsung](http://tsung.erlang-projects.org/user_manual.html#htoc2)
# Questions?
File an issue in this repository.
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