SRE Bootcamp | Build,Deploy,Run and Implement Observability
Become an ace SRE enabled on core concepts SLIs, SLOs, Error Budgets; Deploy apps on GCP, and implement Golden Signals.
IT and Software ,Other IT and Software,
Lectures -119
Resources -1
Duration -7 hours
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Course Description
Welcome to the SRE Bootcamp | Build, Deploy, Run and Implement Observability, the only course you need to get ready to be a rockstar SRE on the job.
At 7.5 hours of lectures, demos packed with industry experience, this course is without a doubt the most practical-oriented SRE course available anywhere online. Even if you have zero understanding of SRE concepts, this course will take you from beginner to intermediate levels of proficiency, and will enable you on implementing, not just understanding theory. Here are the reasons why:
- The course is taught by an industry expert on the subject, who is a daily practitioner himself.
- The instructor is an SRE interviewer, and knows exactly what is needed in a candidate to succeed.
- The demos and the corresponding GitHub repo access will enable you to not just follow-along, but reuse the instructor's months of hard work, and apply on the job.
- The course is current with 2023 trends, hence ensures that you'll be learning the latest tools and technologies used at large companies running their applications on Google Cloud.
- The curriculum was developed over a period of 1 year, after a dry-run of the content with a private group of students. I will take you step-by-step through engaging video tutorials and teach you everything you need to know to succeed as an SRE. The course includes hands-on demos that build your SRE expertise; this enables you to be productive day 1 as a GCP SRE.
Throughout this course, we cover SRE relevant tools and technologies in details, with demos, including:
- Site Reliability Engineering origin
- Observability core concepts - Golden Signals, SLIs, SLOs, Error Budgets
- Understands the characteristics of a good SRE
- Get enabled on SRE foundational skillset - Linux, vi editor, ip sebnetting etc.
- GCP CLI - gcloud and kubectl
- Deploy apps in all forms of compute on GCP - GCE, GKE and Cloud Run
- Automation - how to, and real world examples using Bash (Python not covered in this course).
- GCP Logging and Monitoring, Log based metrics
- Observability Tools - GCP Native Monitoring, and Grafana
- Troubleshooting tools and techniques using Cloud logging and monitoring and kubectl.
Goals
This course is designed to provide an excellent starting point for anyone who wants working knowledge in Site Reliability Engineering discipline. Not only will it teach you the basics and the best practices, but it will also take you through a hands-on journey with a goal of getting you ready to face SRE interviews with confidence, and be productive day 1 on the job.
You will be using 5 GCP services for the most part - GCE, GKE, Cloud Run, Cloud Logging and Cloud Monitoring. You will be deploying applications on all the 3 popular forms of compute, and you will be building observability with Golden Signals dashboards, and Availability and Latency SLIs and SLOs. Besides GCP native dashboards, you will also be integrating Grafana, one of the most popular 3rd party visualization tool, with your GCP environment, and build Golden Signals dashboards.
Prerequisites
Basic exposure to any programming language
Basic understanding of Linux
A Mac or PC computer with access to the internet

Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
4 Lectures
-
Instructor Introduction 01:53 01:53
-
Instructor Coordinates 00:27 00:27
-
Agenda 01:52 01:52
-
GCP Bootstrap 11:03 11:03
Introduction to SRE | Site Reliability Engineering
4 Lectures

Platform Overview
4 Lectures

Linux Crash Course
12 Lectures

Automation
6 Lectures

Gcloud
5 Lectures

Kubectl
8 Lectures

Vi Editor
7 Lectures

IP Address and Subnetting
7 Lectures

GCE | Host your website on Apache web-server in GCE
6 Lectures

Implement Monitoring Ops Agent
6 Lectures

GCE | Implement GCP Native Observability
9 Lectures

Host Grafana Server on GCE
4 Lectures

GCE | Implement Observability in Grafana
6 Lectures

Containerized Demo Apps for GKE and Cloud Run
6 Lectures

Cloud Run | Implement Observability
9 Lectures

GKE Cluster - Create and Connect
8 Lectures

GKE | Implement Observability
6 Lectures

Recap
2 Lectures

Instructor Details

Jai Chenchlani
Jai is a Platform/SRE/DevOps/Cloud Architect with extensive experience in provisioning and maintaining cloud infrastructure. He specializes in GCP and devops/gitops/IaC and Reliability engineering, and has the expertise to go deep into fundamental technology domains like networking, security, linux etc that are ubiquitous in the cloud. He has a knack for automation(Python and Bash are close to his heart), and has been working in the industry for about 20 years now. His teaching style provides students with an interactive and hands-on experience, that makes it very interesting and easy for the students to grasp and follow along.
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