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Lab Exercise: Identifying Key Metrics for Service Health on IBM Cloud – c110014gspl

Course #: c110014gspl

Duration: 0.8 Hours

This lab provides hands-on practice within a simulated environment to leverage the knowledge you gained from the Identifying Key Metrics for Service Health on IBM Cloud module.

Objectives

Gain experience identifying key metrics for assessing service health.

Audience

This course is intended for learners who are pursuing professional-level site reliability engineer certification on IBM Cloud.

Prerequisites

Before starting this curriculum, the target audience should understand:
•System Thinking
•DevOps practices
•Cloud Architecture
•Software engineering principles
•System administration
•Network and OSI model
•Networking and security practices for IBM Cloud
•Incident management
•Root cause analysis

The target audience should also be able to:
•Proficiently write code
•Create run books as a reference
•Make system components serviceable
•Interpret data and statistics to determine actions
•Use LogDNA, SysDig, Grafana, Prometheus, Kibana
•Interpret schematics
•Drive incidents to resolution
•Remediate underlying sources of unreliability
•Create and configure VMs
•Create and configure Containers on IBM Kubernetes Service (IKS)/Red Hat OpenShift Kubernetes Services (ROKS)
•Create and configure Containers using OpenShift
•Create and configure Serverless applications
•Configure for high availability and scalability

Topics

Topic 1: Identifying Key Metrics for Service Health on IBM Cloud

Contact us regarding the training