An "SRE for Architects" training course equips architects with the knowledge and skills to implement and manage Site Reliability Engineering (SRE) practices within their organizational architecture. This training focuses on how SRE principles can be integrated into architectural decisions to ensure reliable, scalable, and efficient software systems

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IT Includes

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 Handson 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 SREModule 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 deliveryModule 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

 

Module 9.B : Hands on lab

Install terraform

Deploy Kubernetes cluster using terraform

Write Ansible scripts(playbooks and apply on nodes)

AWS Xray – application monitoring and tracing

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