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Top 50 DataDog Interview Questions and Answers

Spread the Knowledge

1. What is Datadog?

Datadog Application Monitoring
DataDog

Datadog is a monitoring and SaaS-based data analytics tool for IT and DevOps teams that can be used to assess performance metrics and event monitoring for infrastructure and cloud services. Servers, databases, and tools can all be monitored using the software.

2. How does DataDog work?

The Datadog Agent is a software application that runs on your servers. It collects host events and metrics and delivers them to Datadog, where you can evaluate monitoring and performance data. The Datadog Agent is open source, and the source code can be found on GitHub at DataDog/datadog-agent.

3. What are the Features of Datadog?

Features of Datadog
  • Datadog is used for providing IT or DevOps Teams with a single – view if its infrastructure.
  • Datadog uses customizable dashboards.
  • Datadog is used for alerting critical issues.
  • Datadog can collect and analyze Latency, Logs, and Error Rates.
  • Datadog helps by allowing access to the API.
  • Datadog supports application that are written in languages like – Python, PHP, Go, Node and Java.

4. How does Datadog collect data?

Datadog collects logs from AWS Lambda. We can accomplish this with serverless monitoring. Datadog integrations and log gathering are intimately connected. To activate dedicated processors, parsing, and facets in Datadog, use an integration default configuration file.

5. Can we send log to Datadog without Datadog agent?

Yes, we can utilise most of the common open source log shippers, such as fluentd or HTTP API, to send server logs to Datadog without using the Datadog agent. However, there are significant advantages of using the Datadog agent to collect server logs.

6. Can alerts from a single DataDog monitor be routed to different Slack channels?

Yes, We could use a tag that is an exact string match on some part of the slack channel (the tag would have to be route:abc and not route:/abc).

Then you could use something like @slack-route.name-alerts, which automatically dereferences the tag and delivers it to the relevant group.

If we can’t find a tag that fits any part of the slack handle, we can create a if else conditional.


{{#is_match "route.name" "/abc"}}
  @slack-abc
{{/is_match}}
{{#is_match "route.name" "/yyy"}}
  @slack-yyy
{{/is_match}}
{{#is_match "route.name" "/xxx"}}
  @slack-xxx
{{/is_match}}
{{^is_match "route.name" "/abc" "/yyy" "/xxx"}}
// Please ensure that this endpoint is set to forward to the 
// appropriate team's channel within this monitor.
  @slack-backup-alert-channel
{{/is_match}}

7. Who uses Datadog?

Companies uses Datadog are:

  • Lorven Technologies
  • Zendesk Inc

8. What are some Key benefits of using Datadog?

  • Datadog is used for correlating metrics from our Apps, Tools, SaaS, Cloud providers and services which consists Web Servers, StatsID, SQL, NoSQL Databases.
  • Datadog can easily analyze, alert, graph our mass of data by using real-time dashboards.
  • Datadog can filter performance metrics so we can focus on those matters.
  • Datadog supports team collaboration by changing and commenting annotations for our production data.

9. How can we send Datadog Tags in exometer?

We can use Exometer and the exometer_report_statsd reporter doe reporting the endpoints response time.


:exometer.update [:app_name, :webapp, :resp_time]

10. How Datadog monitors Scalable Systems?

Datadog is a platform which is used in Cloud, it understands the challenges that are faced by the companies when they are scaling applications.By monitoring and integrating into our platform it can alert the configurates as dynamically as the infrastructure we can monitor for the customers, collecting metrics from many cloud platforms and tools out of the box.It also offers intelligent algorithm alerting through methods like Outliner Detection.

11. How do we stringify JSON using JQ in Datadog?

We can stringify JSON using JQ by using the following derivation:


{
      "title": "456789-accesslogs",
      "text": "{\"region\": \"CA\",\"waf_rule_tags\": \"{\\\"RULEID:942100\\\":[\\\"application-multi\\\",\\\"language-multi\\\",\\\"platform-multi\\\",\\\"attack-sqli\\\",\\\"OWASP_CRS/WEB_ATTACK/SQL_INJECTION\\\",\\\"WASCTC/WASC-19\\\",\\\"OWASP_TOP_10/A1\\\",\\\"OWASP_AppSensor/CIE1\\\",\\\"PCI/6.5.2\\\"]}\"}",
      "priority": "normal",
      "tags": ["environment:test"],
      "alert_type": "info"
}

12. How can we calculate duration between logs in Datadog?

We can use Splunk which has the transaction command that can produce duration between the logs grouped:


2020-01-01 12:12 event=START id=5
2020-01-01 12:13 event=STOP  id=5

13. Datadog Agent is written in which Language?

Go
Python
Java
C++

Answer – 1. Go

14. What is the name of the of Datadog config file?

datadog.yaml
datadog.conf
datadog.prop
datadog.json

Answer – 1. datadog.yaml

15. What is used for?

Infra Monitoring
Log Monitoring
APM Monitoring
All of them

Answer – 4. All of them

16. Datadog Client libraries is used for?

Datadog Agent APM
Datadog Agent Log
Datadog Agent Synthetic
For Datadog API

Answer – 4. For Datadog API

17. Is Datadog support SIEM?

YES
NO

Answer – 1. YES

18. Is there a free version of Datadog?

YES. free for up to 5 hosts
NO

Answer – 1. YES. free for up to 5 hosts

19. What is a flare in Datadog?

1 – gathers all of the Agent’s configuration files and logs into an archive file
2 – Gather all errors of Datadog agent

Answer – 1 – gathers all of the Agent’s configuration files and logs into an archive file.

20. Why are you interested in working at Datadog?

Datadog is looking for curious and driven individuals who are interested in software technology. They want people who have exceptional communication skills and who can tackle problems analytically. Datadog is looking to hire individuals who have an investigative mindset and are willing to challenge themselves.

21. Why is Datadog a good company?

Datadog is expanding globally each year so every team is growing, but the company still does a good job in keeping the culture fun, inclusive, and exciting. Even while working at home during covid, the company has been extremely supportive during this time as well.

22. Who are the competitors of Datadog?

Competitors and Alternatives to Datadog

  • Dynatrace.
  • New Relic One.
  • AppDynamics.
  • SolarWinds Server & Application Monitor.
  • ManageEngine Applications Manager.
  • Microsoft Azure Application Insights.
  • Instana.
  • Amazon CloudWatch.

23. Is Datadog a remote company?

In the past, the company has posted remote and work-from-anywhere jobs, and it also provides eligible associates with company-paid medical insurance, retirement planning, open paid time off, and other benefits.

24. What is an APM tool?

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Practitioners use APM to ensure system availability, optimize service performance and response times, and improve user experiences.

25. How Cliff AI is different from Datadog?

Cliff.ai is a business reliability tool that helps you monitor your important business & ops metrics without creating any dashboard or complex data pipelines. Cliff helps you monitor your business in a similar way Datadog monitors your IT infrastructure, hence – “Datadog, but for business metrics!”

26. Why is Datadog down?

Shares of Datadog (NASDAQ:DDOG) sank on Friday after the company reported fourth-quarter results that beat analyst expectations. The guidance may be the culprit: Datadog is expecting revenue growth to slow substantially in 2021.

27. Where is Datadog data stored?

Cloud Service Provider

The Datadog production infrastructure is hosted in Cloud Service Provider (CSP) environments.

28. What is the difference between Datadog and Grafana?

DataDog is a paid SaaS tool that provides a range of products for monitoring applications and tech infrastructure. While Grafana is an open-source web visualization tool that can be used with a variety of data sources to create dashboards.

29. How did Datadog get its name?

This DevOps movement was a core part of the cloud migration that was just starting to take place when we started Datadog, in the early 2010s. … So it was really the name of fear and pain and so when we started the company we used Data dog 17 as a code name, and we thought we’d find something nicer later.

30. What are synthetics at Datadog?

DataDog Synthetics

Synthetic tests allow you to observe how your systems and applications are performing using simulated requests and actions from around the globe. … You can create Synthetic tests in the Datadog application, with the API, or with Terraform.

31. What is flare in Datadog?

flare gathers all of the Agent’s configuration files and logs into an archive file. It removes sensitive information including passwords, API keys, Proxy credentials, and SNMP community strings. Confirm the upload of the archive to immediately send it to Datadog support.

32. What is a Datadog agent?

The Datadog Agent is software that runs on your hosts. It collects events and metrics from hosts and sends them to Datadog, where you can analyze your monitoring and performance data. The Datadog Agent is open source and its source code is available on GitHub at DataDog/datadog-agent.

33. Is Datadog a cybersecurity?

Monitor and detect cyber threats across your applications, network, and infrastructure with Datadog. Developers, cyber security, and operations teams can all leverage detailed observability data to accelerate security investigations.

34. How long are logs retained in Datadog?

15 months

Instead of retaining and sifting through a large number of logs, you can create a single metric to track the trends those logs reflect. Datadog retains that metric at full granularity for 15 months. To create a new metric, navigate to the “Generate Metrics” tab on the Log Configuration page of your account.

35. Does Datadog support MFA?

Datadog enables you to verify other authentication methods you use for your application, so you can get comprehensive test coverage of all of your custom MFA modules and integrations.

36. Can you run Datadog locally?

Developing locally with DataDog

For that you can create a personal account. What you will find here is a read-up on how to host your local DataDog agent, and have your metrics sent to your very own DataDog environment.

37. Can Datadog run on premise?

Datadog provides full visibility into every layer of an on-premise environment, regardless of where or how teams deploy their services.

38. Can Datadog be a SIEM?

We are excited to announce the addition of Cloud SIEM to Datadog. You can now detect threats in real time and investigate security alerts across your infrastructure metrics, distributed traces, and logs.

39. What is a span in Datadog?

A span is a service entry span when it is the entrypoint method for a request to a service. You can visualize this within Datadog APM when the color of the immediate parent on a flame graph is a different color. Services are also listed on the right when viewing a flame graph.

40. Is Datadog PCI compliance?

Currently, Datadog tracks controls within PCI, SOC 2, HIPAA, GDPR, and CIS Benchmarks for AWS, Azure, Docker, and Kubernetes. More support for industry benchmarks and compliance standards is on the way.

41. Where is Datadog API key?

To add a Datadog API key, application key, or client token, navigate to Integration -> APIs, enter a name for your key or token, and click Create API key or Create Application Key or Create Client Token.

42. What database does Datadog use?

In terms of actual databases, we use: Kafka as our firehose. It’s simple and reliable, and has great performance for stream processing. A mix of Redis, Cassandra and S3 to store and query time series.

43. What is Datadog application key?

Application keys, in conjunction with your organization’s API key, give users access to Datadog’s programmatic API. Application keys are associated with the user account that created them and by default have the permissions and scopes of the user who created them.

44. How do I add a channel to slack Datadog?

  • Select this integration.
  • Configure the New Monitor Event (Instant) trigger. Connect your – Datadog account. Optional- Select one or more Monitors.
  • Configure the Send Message to a Private Channel action. Connect – your Slack account. …
  • Deploy the workflow.
  • Send a test event to validate your setup.
  • Turn on the trigger.

45. What is facet in Datadog?

Facets are user-defined tags and attributes from your indexed logs. They are meant for either qualitative or quantitative data analysis. As such, you can use them in your Log Explorer to: Search upon your logs. Define log patterns.

46. What is Datadog network performance monitoring?

Datadog Network Performance Monitoring (NPM) gives you visibility into your network traffic between services, containers, availability zones, and any other tag in Datadog so you can: Pinpoint unexpected or latent service dependencies.

47. Is Datadog API key secret?

For example, storing the api_key as a secret in the datadog. yaml file with APM and Process Monitoring enabled might result in 3 calls to the secret backend.

48. How many types of database activity are there?

Four types of database management systems

hierarchical database systems. network database systems. object-oriented database systems.

49. What is integration in Datadog?

Monitor Amazon Elasticsearch Service with Datadog. Our integration helps you visualize and alert on key performance metrics.

50. How do I save a Datadog view?

Creating a set

Once you’ve selected the relevant values, click the dropdown on the left of your template variables and choose Save selections as view. Name your set and click Save. Datadog saves your set, and it is now ready for anyone in your organization to use.

Rajesh Kumar
Latest posts by Rajesh Kumar (see all)
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