[TP] Lab - Collection
What you will learn in this TP :
Prerequisites
You must have deployed the test environment (See first lab) and also have a Dynatrace SaaS or Managed environment (you can get a free test account on the Dynatrace website)Collection via oneagent (service)
-
Deploy a VM
You must use vagrant to deploy the VM.cd dynatrace-formation/tp/0_vm
vagrant up -
Deploy the oneagent
You must retrieve the oneagent sources from your Dynatrace subscription and install it on the VM. To connect to the VMvagrant ssh formation-dynatrace.
If you need to transfer files to the VM, you can drop them in the folder. All its contents are mounted by default in the /vagrant folder.
Please note, we named all machines formation-dynatrace so you will need to customize its name during installation.
Collection via oneagent (docker)
-
Deploy a VM
You must use vagrant to deploy the VM.cd dynatrace-formation/tp/1_vm_docker
vagrant up -
Deploy the oneagent
This time you must deploy the oneagent as a container. To connect to the VMvagrant ssh formation-dynatrace.
If you need to transfer files to the VM, you can drop them in the folder. All its contents are mounted by default in the /vagrant folder.
Please note, we named all machines formation-dynatrace so you will need to customize its name during installation.
Verification
-
Local
You must ensure that the services and containers are fully functional -
Dynatrace Console
You must ensure that both VMs show up correctly in the Dynatrace console under the names you specified during installation
Course Glossary
The use of artificial intelligence and machine learning to automate and improve IT operations (e.g., anomaly detection, reducing alert noise).
An open source framework providing standards, APIs, and SDKs to collect and export observability data (traces, metrics, logs) in an agnostic way.
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