EdX

SRE Infrastructure, Resiliency and Deployment Automation (edX)

Offered by IBM,
SRE Infrastructure, Resiliency and Deployment Automation (edX)

Discover the importance of reliability engineering and resiliency for services and how the deployment pipeline can be used to help with automation. Explore various infrastructure types, troubleshoot common service issues, including Kubernetes and Openshift clusters.

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Site Reliability Engineers must have the right tools and strategies to perform in a fast-paced technical environment. Nine competency areas guide the successful practice of IBM Cloud SREs.

  • Applying Site Reliability Engineering principles
  • Operations
  • Monitoring and incident management
  • Security and compliance
  • Compute infrastructure
  • Networking
  • Storage and data management
  • Reliability and resiliency
  • Deployment automation

In this second course of the three-part Professional Certificate in Site Reliability Engineering (SRE), you will focus on the following five SRE competencies:

  • Compute infrastructure
  • Networking
  • Storage and data management
  • Reliability and resiliency
  • Deployment automation

NOTE: The remaining four SRE competencies are covered in Course 1: SRE Fundamentals and Security.
This course is part of the Site Reliability Engineering (SRE) Professional Certificate.

What you'll learn
Compute infrastructure

  • Troubleshoot VMs, IBM Kubernetes Service (IKS), Red Hat OpenShift and serverless services on IBM Cloud
  • Configure for high availability and scalability
  • Explain the impact of compute on service performance

Networking

  • Troubleshoot external connections to IBM Cloud
  • Troubleshoot inter service connectivity on IBM Cloud
  • Explain the reliability ramifications of IBM Cloud networking features
  • Explain the impact of networking on service performance

Storage and data management

  • Manage storage and data attributes
  • Manage data replication and retention
  • Explain the impact of storage on service performance
  • Monitor data security and compliance
  • Identify storage data durability and capacity management

Reliability and resiliency

  • Design and improve reliability for the system/service
  • Design for failure and recovering from failure

Deployment automation

  • Design non-disruptive deployment
  • Troubleshoot provisioning of IBM Cloud resources
  • Implement Infrastructure as Code
  • Explain the responsibilities of the SRE to the CI/CD Pipelines
  • Troubleshoot CI/CD pipelines

Syllabus

Module 1: Compute Infrastructure
You will cover the following topics:

  • IBM Cloud service models: IaaS, PaaS, and FaaS
  • Troubleshooting VMs on IBM Cloud
  • Troubleshooting clusters on IBM Kubernetes Service
  • Troubleshooting clusters on Red Hat OpenShift on IBM Cloud
  • Troubleshooting serverless services

Module 2: Networking
You will cover the following topics:

  • Applying IBM Cloud networking features
  • Implementing and managing virtual networks on IBM Cloud
  • Configuring name resolution on IBM Cloud
  • Managing performance on IBM Cloud
  • Troubleshooting external connections on IBM Cloud
  • Troubleshooting interservice connectivity on IBM Cloud

Module 3: Storage and data management
You will cover the following topics:

  • Managing storage and data attributes
  • Managing storage accounts
  • Managing data on IBM Cloud
  • Managing data replication and retention

Module 4: Reliability and resiliency
You will cover the following topics:

  • Importance of reliability and resiliency for services
  • Designing and improving Reliability for systems and services
  • Designing for failure and recovering from failure

Module 5: Deployment automation
You will cover the following topics:

  • Deployment automation
  • Implement Infrastructure as Code
  • SRE responsibilities to CI/CD pipeline

Prerequisites:
At least 1 year experience in SRE or technology.
Understanding of:

  • DevOps practices
  • Software engineering principles
  • System administration
  • Network and OSI model
  • Incident management
  • Root cause analysis

Recommended courses:

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