This Datadog Fundamental study guide will help you prepare for the Datadog Fundamental exam with all the required resoruces. Datadog Fundamental is the Datadog certification that tests the core knowledge to use the Datadog platform effectively.
In this article, I will go through all the resoruces that can help you prepare for the CKAD exam.
Note: The author of this blog are Datadog certified.
Table of Contents
What is the Datadog Fundamental exam?
The official Datadog certification page says:
Datadog Fundamentals is our foundational certification offering. This exam tests core knowledge required to use the platform effectively. Knowledge covered includes basic computer fundamentals, infrastructure deployment with Datadog, networking and Datadog Agent configuration, data collection, troubleshooting the Datadog Agent, and data visualization and utilization.
Datadog Fundamental is the initial certification for Datadog newcomers. It is aimed for engineers that is interested in the
Datadog Fundamental Exam Preparation Guide
This section will go over the complete resources and official Datadog documentation pages that can help you prepare for the exam better.
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Datadog Fundamental Certification Resoruces
Introduction to Observability
What is Monitoring?
Monitoring is the process of gathering data to understand what’s going on inside of your infrastructure.
- Monitoring is the act of paying attention to the patterns that your metrics are telling you. It’s about analyzing your data and acting on it.
What do we monitor?
- Performance
By watching performance we can watch how our architecture and applications are using the resources that are available
- Security
Is something going wrong in our environment? Creating monitors around security metrics can stop incidents in their tracks.
- Usage
What are our users doing in our environment? Are they interacting with our products?
Alerting
Alerts are simply setting a threshold in a monitor. When that threshold is breached, a notification is sent to the designated recipient
What is Observability?
Observability is taking the same data that you’ve collected and moving beyond “What is happening?” to “Why is it happening?”
Three Pillars of Observability
Metrics
These data points are numerical values that can track anything about your environment over time, from latency to error rates to user signups
Example of Metrics:
[17.82, 22:11:01] [ 6.38, 22:11:12] [ 2.87, 22:11:38] [ 7.06, 22:12:00]
Visualizing Metrics:
Why do we collect metrics?
- Baseline for Operations
Metrics can tell us what normal looks like for our applications. Without metrics, we’re stuck guessing what’s going on.
- Reactive Responses
Using metrics we don’t have to wait until a customer reports an outage. We can react to issues in our environment before they snowball
- Proactive Responses
Why wait for something to go wrong? By looking at metrics we can get ahead of problems before they happen.
Logs
A computer generated file that contains time stamped information about the usage of that system
Traces
Used to track the time spent by an application processing a request and the status of this request
What is Datadog?
Datadog is an observability platform for cloud-scale applications, providing monitoring of servers, databases, tools, and services, through a SaaS-based data analytics platform
