Datadog Fundamentals study materials
Datadog Fundamentals study resources

Datadog Fundamentals case studies

Datadog Fundamentals · Put your knowledge to work in context.

The Datadog Fundamentals credential is an entry-level certification that validates a working knowledge of the Datadog platform - how its products fit together and how telemetry from infrastructure, applications, logs, front-end experiences, and security signals is collected, explored, and acted on. Datadog publishes a dedicated Fundamentals Certification Learning Path in its Learning Center, described there as a 16-course path whose courses cover the topics in the Datadog Fundamentals Certification exam, so the vendor's own curriculum is the natural backbone for preparation. The Datadog Fundamentals case studies are 5 cases and about 3,669 words.

1

Tag Drift and a 3.1M-Series Custom Metric Bill

Northwind Retail runs 240 hosts - 150 EC2 instances and 90 on-premise VMs - with Agent 7 deployed and configured through Ansible. Over three months the custom metric series count climbed from 900k to 3.1M and the Datadog bill followed.

550 words, about 3 min
2

Head-Based Sampling Is Eating the Errors

Paymob Payments runs 220 services on Java, Go and Python, peaking at 18,000 requests per second. A previous engineer set DD TRACE SAMPLE RATE to 0.10 globally at the tracer to control cost.

712 words, about 4 min
3

4.2 TB a Day, an Exhausted Quota and a PCI Obligation

Helios Health emits 4.2 TB of logs per day. Three services ( checkout-api , cart-sync , price-cache ) produce roughly 55% of that volume in DEBUG lines.

804 words, about 4 min
4

Green Synthetic Tests, a 14% Conversion Drop in Brazil

Vela Commerce has a React storefront, an iOS app, and a checkout that calls a third-party payment SDK. Synthetic API tests fire every 5 minutes from three cloud regions and have been green for three weeks.

750 words, about 4 min
5

SLOs in a Spreadsheet, 300 Alerts a Week, No Pager

Forty product teams at Meridian use Datadog. SLOs live in a spreadsheet and are reviewed monthly; incidents are declared ad hoc in Slack threads with no named owner; there is no on-call rotation in Datadog yet because PagerDuty is being retired next quarter.

853 words, about 4 min