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--- datadog [2023/08/30 20:06] – created Roman Sheydvasser
+++ datadog [2025/12/30 16:53] (current) – Roman Sheydvasser
@@ Line 1: / Line 1: @@
-===== Datadog =====
+Datadog is a SaaS-based observability platform that provides monitoring and analytics for applications and infrastructure.
-[[https://en.wikipedia.org/wiki/Datadog|Datadog is an observability service for cloud-scale applications, providing monitoring of servers, databases, tools, and services, through a SaaS-based data analytics platform.]]
+===== Datadog Skills Matrix =====
+This table organizes Datadog topics by priority level—core, common, and specialized—to reflect their relative importance and expected familiarity across teams. It provides a shared reference for understanding which Datadog areas are foundational versus more advanced or niche.
+| **Datadog Topic** | **Priority** |
+| Tagging | 1 - Core |
+| Logs | 1 - Core |
+| Monitors and Alerting | 1 - Core |
+| Dashboards | 1 - Core |
+| Integrations - Common (e.g. AWS, nginx, postgres) | 1 - Core |
+| Infrastructure (Windows) | 1 - Core |
+| Infrastructure (Linux) | 1 - Core |
+| Synthetics | 2 - Common |
+| Serverless | 2 - Common |
+| APM - Basic Setup | 2 - Common |
+| DBM (Databases) | 2 - Common |
+| NDM (Network Devices) | 2 - Common |
+| Docker / Kubernetes | 2 - Common |
+| Ansible | 2 - Common |
+| SLAs / SLOs | 2 - Common |
+| SIEM (Security) | 3 - Specialized |
+| RUM | 3 - Specialized |
+| Cost Optimization | 3 - Specialized |
+| APM - Java | 3 - Specialized |
+| APM - Python | 3 - Specialized |
+| APM - Javascript | 3 - Specialized |
+| APM - C# | 3 - Specialized |
+| APM - Serverless | 3 - Specialized |
+| DBM - Postgres | 3 - Specialized |
+| LLM Monitoring | 3 - Specialized |
+| Data Jobs (e.g. Databricks, Apache Spark, EMR) | 3 - Specialized |
+| DBM - SQL Server | 3 - Specialized |
+| Datadog Oncall | 3 - Specialized |
+===== Datadog Fundamentals Certification =====
+  * [[https://www.datadoghq.com/pdf/datadog-fundamentals-exam-guide-jan25.pdf|Exam Guide PDF]] (from the [[https://www.datadoghq.com/certification/overview/|Datadog Certifications Page]])
+  * [[DD Fundamentals Certification Exam Guide]]
+  * [[DD Fundamentals Certification Study Guide]]
+  * [[https://learn.datadoghq.com/courses/datadog-fundamentals-practice-exam|25 Question Practice Exam Sign Up Page]]
+==== What to Study ====
+Also see [[DD Fundamentals Certification Study Guide]].
+Courses (the [[https://learn.datadoghq.com/pages/learning-center-updates-april-2025|sre and dev courses have been replaced]], even though they're still mentioned in the exam guide):
+  * https://learn.datadoghq.com/courses/introduction-to-observability
+  * https://learn.datadoghq.com/courses/dd-101-dev
+  * https://learn.datadoghq.com/courses/dd-101-sre
+Documentation to Review:
+  * Getting Started
+  * Datadog Agent
+  * Metrics
+  * Infrastructure List
+  * API and Application Keys
+  * Integrations
+  * Docker Daemon
+  * Query to the graph
+  * Docker Agent
+  * Metrics API
+  * Monitor types
+  * DogStatsD
+  * ddtrace
+  * Canonical Hostnames
+==== Register for Exam ====
+https://www.webassessor.com/datadog
+===== Topics Related to Using Datadog =====
+Tech-learning platforms such as www.coursera.org and www.udacity.com are good for learning about topics related to Datadog.
+These topics in particular are useful for understanding different scenarios in which Datadog is used:
+  * https://www.coursera.org/specializations/python
+  * https://www.coursera.org/professional-certificates/aws-cloud-technology-consultant
+  * https://www.coursera.org/professional-certificates/google-it-support