DataDog for Monitoring Docker and Kubernetes [Beginner] | Software Engineering Online Course by Udemy

Development Online Course by Udemy, On Sale Here

Master DataDog Monitoring fundamentals while practicing on Docker and Kubernetes clusters

An excellent training about Software Engineering

DataDog for Monitoring Docker and Kubernetes [Beginner]

Would you drive a car without a speedometer and a seatbelt? No. Similarly you cannot go about creating and managing software applications and infrastructure without a monitoring tool. DataDog is the top choice for monitoring tools out there, and it gives you complete visibility into your tech stack. DataDog has plenty of features. Most importantly it integrates well with Kubernetes giving you information about individual pods, deployments along with their logs and events. This course will guide you through why we need monitoring and how to setup DataDog on docker and kubernetes for this purpose. Much of this course is from the instructor’s experience as a DevOps engineer. Having used DataDog to monitor Kubernetes clusters for many years, it will include many tips and tricks of the trade: ) .In this course we will cover: Why do we care about monitoringThe DataDog ArchitectureThe DataDog UIDeploy DataDog agents on your machines, docker containers and Kubernetes clustersHow to setup DataDog in real life situationsSetup Docker and Minikube on your machineThe Integration between DataDog and KubernetesThe Difference types of metrics reported by DataDogThree pillars of observabilityUse DataDog for tagging metricsAlerting via Slack and EmailConfiguring Logs and Events from Kubernetes and Docker in DataDogEverything is well documented and separated, so you can find what you need. Assignments and Quizzes will make sure you stay on track and test your knowledge. The course will have a combination of theory and practical examples.

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