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SRE for Architects Training in India
4.2
4.2/5
Price :
₹ 1,35,000
Category :
Management
Anil Bidari
Chief Consultant
Anil Bidari is a versatile trainer and consultant specializing in GitLab, AWS, Azure, Google, DevOps, Jenkins, Kubernetes, Ansible, Docker, Agile, and Machine Learning. His expertise drives successful technology adoption and implementation, benefiting organizations and individuals alike.
- Time Duration : 21 Hours - 3 Days
- Study Lecture : 20 Lectures
- Skill Level : Advance Course
- Certificate : Yes
- Training Delivery Mode : Online - Live Instructor Led training
OVERVIEW :
COURSE DESCRIPTION
COURSE SUMMARY
COURSE OBJECTIVE
COURSE DESCRIPTION
The SRE for Architects Training course is designed to provide architects with the knowledge and skills necessary to implement Site Reliability Engineering (SRE) principles and practices in their organizations. This course focuses on helping architects understand the key concepts, tools, and methodologies used in SRE to achieve highly reliable and scalable systems. Participants will learn about topics such as service-level objectives (SLOs), error budgeting, incident response, capacity planning, and automation. Through real-world examples and interactive exercises, architects will gain practical insights into designing and implementing resilient and efficient systems. By the end of this training, attendees will be equipped to architect and lead SRE initiatives that drive reliability and availability in their organizations’ infrastructure and services.
COURSE SUMMARY
The SRE for Architects Training course is a comprehensive program designed to equip architects with the knowledge and skills necessary to implement Site Reliability Engineering (SRE) principles and practices. Through practical examples and hands-on exercises, participants will gain a deep understanding of SRE concepts, including service-level objectives (SLOs), error budgeting, incident response, capacity planning, and automation. This course focuses on empowering architects to design and implement highly reliable and scalable systems by applying SRE methodologies. By the end of this training, attendees will be well-prepared to architect and lead SRE initiatives, ensuring the reliability and availability of their organization’s infrastructure and services.
COURSE OBJECTIVE
- 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 handson experience on jenkins, docker , terraform kubernetes, and ansible
Course Outline
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 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
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
Let's Enroll Our Course !!
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