Site Reliability Engineering

Course Description

Overview

Site Reliability Engineering (SRE) refers to the application of software engineering practices to the management of IT infrastructure and operations. This SRE training course is aimed at technical persons who wish to apply software engineering tools and techniques to more efficiently manage an IT system.

Objectives

Understand what Site recovery manager is
Greater understanding of Practices and Principles of SRE
What is DevOps
Differentiate between DevOps and SRE
Understand various tools used in Automation
Understand various tools used in software build and release
Gain hands-on experience on Jenkins, Docker, Terraform Kubernetes, and Ansible

Audience

Business Managers and Stake Holders
Change Agents and Consultants
DevOps Practitioners
IT Directors, Managers and Team Leaders
Product Owners
Scrum Masters
Software Engineers
Site Reliability Engineers
System Integrators
Tool Providers
Developers
System administrators
Software Architects
DevOps Engineers
IT Managers

Pre- requisites

A general understanding of IT infrastructure.
A general idea of the software development process.
Programming or scripting experience in any language.

Duration: 3 days – 21 hrs

Course Content

Module 1: SRE -Big Picture

History of Site Reliability Engineering
Introduction to SRE
Define Site Reliability Engineering (SRE)
DevOps and SRE differences

Module 2.A: Principles of SRE

Embracing Risk
Service Level Objectives
Eliminating Toil
Monitoring Distributed Systems
The Evolution of Automation at Google
Release Engineering
Simplicity

Module 2.B Hands-on Lab – Before DevOps scenario labs

Create repository on Bitbucket
Git clone, install maven
Perform manual package
Deploy application

Module 3: Practices in SRE – Part 1

Practical Alerting
Being On-Call
Effective Troubleshooting
Emergency Response
Managing Incidents
Postmortem Culture: Learning from Failure
Tracking Outages
Testing for Reliability
Software Engineering in SRE

Module 4: Practices in SRE – Part 2

Load Balancing at the Frontend
Load Balancing in the Datacenter
Handling Overload
Addressing Cascading Failures
Managing Critical State: Distributed Consensus for Reliability
Distributed Periodic Scheduling with Cron
Data Processing Pipelines
Data Integrity: What You Read Is What You Wrote
Reliable Product Launches at Scale

Module 5: Containerization and Microservices

Monolithic application overview
Microservice overview and benefits
What is virtualization
What is containers
Virtualization and container differences
Kubernetes overview – orchestration of containers
Kubernetes architecture and Components

Module 5.B: Hands-on lab

Install docker
Create, Login stop and delete container
Create image using dockerfile
Push image to dockerhub
Deploy Kubernetes cluster on Google
Deploy your own docker image on Kubernetes
Expose application behind a load balancer

Module 6: DevOps Big Picture

Define Waterfall model and its challenges
Define Agile and its advantages
Define DevOps
Difference in between agile and DevOps
Continuous Integration and Continuous deployment
Before DevOps application development and delivery
After DevOps application development and delivery

Module 7: SRE and DevOps differences

Common myths around and SRE and DevOps are same
Key differences between SRE and DevOps

Module 8.A: SRE Developer Tool chain

Source code management tools
- Github, bitbucket and SVN
Static code analysis
- Sonarqube, Fortify, Nexus IQ
Build Tools
- Maven, Ant and Gradle
Repository tools
- Nexus, Artifactory, cloud storage
Orchestration Tools
- Jenkins, Bamboo CI, Travis
Release management Tools
- Jira Release management, Urban code release, BMC RLM

Module 8.B: Hands on lab

Create a CI/CD pipeline on Jenkins which automates below tasks

- Git clone
- mvn install
- code analysis by sonarqube
- Mvn compile and mvn package
- Upload application package to Nexus
- Deploy application on same machine

Module 9.A: SRE Operations Tool chain

Infrastructure-as-a-code tools – Terraform
Declarative infrastructure and Deployment tools
- AWS Cloud formation
- Google deployment Manager
- Azure resource manager
- Openstack Heat
Ops Automation tools
- Ansible – overview, architecture and components
- Chef – overview, architecture and components
- Puppet – overview, architecture and components
- Saltstack – overview, architecture and components
Monitoring and ticketing tools
Application monitoring and tracing tools
- Newrelic
- App Dynamics
- DataDog
- AWS-Xray
Infrastructure Monitoring Tools
- Nagios
- ELK and EFK
Ticketing Tools
Cloud native monitoring Tools
- AWS cloudwatch
- Google Stackdriver
- Azure Monitor