Progressive Delivery in Kubernetes
A good observability strategy is key to success with progressive delivery. In this course, you learn various observability strategies for implementing progressive delivery in Kubernetes and how these strategies can fit different organizations.
Introduction to Monitoring Kubernetes
In this course, you learn the basics about monitoring the Kubernetes platform with Datadog, including the importance of tagging your various workloads. You also look at the different metrics, logs, and APM traces that are specific to Kubernetes.
Tagging Best Practices
This course gives an overview of tagging concepts in Datadog, introducing the main use cases for tagging and providing recommendations for best practices.
Introduction to Log Management
Search at any scale, resolve incidents, and analyze your systems. Learn to use Log Management in Datadog, including log collection, querying, analytics, metrics, monitoring, processing, storage, and access control.
Introduction to Application Performance Monitoring
Learn to easily identify slow endpoints and improve performance. You'll instrument an app and then explore many APM features, including Traces Search, Live Search, Trace View, Services List, Service Page, Resource Page, and Service Map.
Datadog 101: Site Reliability Engineer
Datadogโs core suite of tools gives SREs the ability to view their entire infrastructure at a glance as well as zoom in on individual components such as processes. This course teaches you how to use these capabilities effectively.
Datadog 101: Developer
Learn the Datadog features and capabilities that are most fundamental to the application developer role, such as working with integrations, configuring your services for APM, synthetic API and browser testing, and RUM
Datadog Fundamentals Learning Path
Complete the courses in this learning path to build a foundation of basic knowledge about the Datadog platform and its core offerings. Upon completion, you will receive a Credly badge for Datadog Fundamentals I
Learning Path 2
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Learning Path 3
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Community Two
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