Site Reliability Engineering on AWS
4.0 /5- Offered byUDEMY
Site Reliability Engineering on AWS at UDEMY Overview
Duration | 4 hours |
Total fee | ₹3,499 |
Mode of learning | Online |
Credential | Certificate |
Site Reliability Engineering on AWS at UDEMY Highlights
- Earn a Certificate of completion from Udemy
- Get a 30 days money back guarantee on the course
- Get full lifetime access of the course material
Site Reliability Engineering on AWS at UDEMY Course details
- For Java developers, software engineers, students, etc
- Understand the core principles of Site Reliability Engineering, and how cloud computing enables this
- Design applications for fault tolerance, auto-healing, resilience, and reliability
- Examine a simple python microservice ecosystem and understand its limitations
- Identify critical stack components, and redesign them so they're resilient and reliable
- Reliability in AWS includes the ability of a system to recover from infrastructure or service disruptions
- It's essential to acquire computing resources to meet the demand, and mitigate disruptions such as configuration issues or transient network problems
- In this course, students will first explore the key concepts and core services of AWS and Site Reliability Engineering (SRE)
- We show step-by-step how to implement a real-world application that is built via the reliability principles defined within the AWS Well-Architected Framework using the SRE approach
Site Reliability Engineering on AWS at UDEMY Curriculum
Overview
Reliability in Modern Applications
The Impact of Failure and Determining Your Reliability Objectives
Accepting Failure and Making It Part of the Design Process
SRE is a Mindset
Test your knowledge
AWS Global, Regional, and Zonal Architecture Design
Amazon's Global Storage Services -S3
Running Resilient Databases On AWS -RDS and DynamoDB
Fault Tolerant Computation On AWS -Lambda and EC2
Core Resilience Principles for AWS -Load Balancing and Auto Scaling
Using Kubernetes and ECS On AWS
Designing In Resilience With Microservices
Managing State
Typical Application Reliability Patterns
The Architecture of Our Example Microservices
Optimizing and Migrating Our Code
Creating Our Container with CodeBuild
Deploying ECS and RDS
Deploying and Testing Our Py-Simple Application
The Problem with What We've Just Built
The Architecture of Py-Global and Failure Mode Analysis
Multi-Regional Support
Microservices Design
Authentication and Authorization
Code Deployment with CodePipeline
Application Telemetry and Tracing
Application Analytics
Site Reliability Engineering on AWS at UDEMY Entry Requirements
- Prerequisites : Prior experience with coding in Java
- Not mentioned
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