Troubleshooting Backend Performance

Troubleshooting Backend Performance, available at $84.99, has an average rating of 4.65, with 46 lectures, based on 473 reviews, and has 9219 subscribers.

You will learn about Identify bottlenecks in backend applications Find where latencies live Intercept slow requests from Mobile and Web Apps Using DevTools Networking tap to its full potentional Using Man in the middle proxy MITM to intercept HTTP requests Using Wireshark for packet inspections Real-world Performance Analysis of Backend Applications This course is ideal for individuals who are Backend Engineers or Frontend Engineers or Q&A Engineers or Full Stack Engineers It is particularly useful for Backend Engineers or Frontend Engineers or Q&A Engineers or Full Stack Engineers.

Enroll now: Troubleshooting Backend Performance

Summary

Title: Troubleshooting Backend Performance

Price: $84.99

Average Rating: 4.65

Number of Lectures: 46

Number of Published Lectures: 46

Number of Curriculum Items: 46

Number of Published Curriculum Objects: 46

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Identify bottlenecks in backend applications

Find where latencies live

Intercept slow requests from Mobile and Web Apps

Using DevTools Networking tap to its full potentional

Using Man in the middle proxy MITM to intercept HTTP requests

Using Wireshark for packet inspections

Real-world Performance Analysis of Backend Applications

Who Should Attend

Backend Engineers

Frontend Engineers

Q&A Engineers

Full Stack Engineers

Target Audiences

Backend Engineers

Frontend Engineers

Q&A Engineers

Full Stack Engineers

I used to think that performance of the backend depends on the application logic itself. However, there are many other factors that play a role in overall quality and performance of the application. Networking, connection establishment, security, backend communication, protocol serialization, intermediaries and much more.

Often debugging the app if you have the source code allows the developer to zone in to the problem and identify it, However most of the time as an engineer you either don’t have access to the source code or its time consuming to debug a complex app. That is why in this course I present you with some tools I use to analyze the backend application performance and provide a good guess and what might be the problem without stepping in the code. Often known as black box testing.

If your application is a web application that is consumable through a browser, devtools allow us to pretty much inspect all traffic going out from the app and can tell us so much about the app. If the app is not available in the browser we will then demonstrate MITM proxy which is a proxy that intercepts HTTP traffic and log it, this way we can inspect requests and see which of those are the culprit. Finally, if the app uses a protocol that isn’t HTTP intercepting it with a proxy becomes little tricky, so we will use both tcpdump and Wireshark to capture low level packets and see our requests this way.

This course is designed for developers and engineers who have built backend and frontend applications and would like to take their skills further. This course is intermediate to advanced and it is recommended that students have a background in networking and backend fundamentals both of which I have courses for.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Welcome

Lecture 2: Who is this course for?

Lecture 3: Course Outline

Lecture 4: Socket Programming – Backend C WebServer Setup

Lecture 5: The Kernel Accept, Send and Receive queues

Lecture 6: Course downloadable resources

Chapter 2: Supplementary Lectures (Fundamentals)

Lecture 1: Supplementary Lectures

Lecture 2: OSI Model

Lecture 3: Internet Protocol

Lecture 4: TCP

Lecture 5: Proxy vs Reverse Proxy

Chapter 3: Tier 1 Analysis – DevTools

Lecture 1: Tier 1 Analysis

Lecture 2: Anatomy of a Request/Response

Lecture 3: DevTools Networking – Part 1 – Request/Response Columns

Lecture 4: DevTools Networking – Part 2 – Waterfall

Lecture 5: Identify Slow Processing Requests with DevTools

Lecture 6: Identify Slow Network Speed and Download/streaming issues

Lecture 7: Identify Slow Connection establishment with DevTools

Lecture 8: Identify Slow DNS/TLS with DevTools

Lecture 9: DevTooling Twitter Web

Chapter 4: Tier 2 Analysis – MITM Proxy

Lecture 1: Tier 2 Analysis

Lecture 2: MITM Proxy – Part 1 – mitmproxy/mitmdump and mitmweb

Lecture 3: MITM Proxy – Part 2 – Intercepting SSL

Lecture 4: Identify Slow Processing Requests with MITMProxy

Lecture 5: Identify Slow Network Speed and Download/streaming issues

Lecture 6: Identify Slow Connection establishment with MITMProxy

Lecture 7: Intercepting Mobile Applications

Lecture 8: Intercept HTTP traffic between Microservices

Chapter 5: Tier 3 Analysis – Wireshark

Lecture 1: Tier 3 Analysis

Lecture 2: Introduction to Wireshark – Part 1 – Traffic Analysis

Lecture 3: Introduction to Wireshark – Part 2 – Decrypting HTTPS/TLS

Lecture 4: Identify Slow Request Processing with Wireshark

Lecture 5: Identify Slow Network Speed and Download/streaming issues

Lecture 6: Identify Slow Connections with Wireshark

Lecture 7: Identify Slow Reading Backends (TCP Zero Window)

Lecture 8: Wiresharking Postgres

Chapter 6: Real-world Performance Analysis of Backend Applications

Lecture 1: Real-world Examples

Lecture 2: The Application

Lecture 3: Example 1 – Frontend Performance

Lecture 4: Example 2 – Backend Performance

Lecture 5: Example 3 – Backend Performance with LoadBalancer

Lecture 6: Example 4 – Database Performance

Chapter 7: Course Summary

Lecture 1: Other essential tools

Lecture 2: What we learned

Chapter 8: Answering Your questions

Lecture 1: How does the Kernel manage backend connections?

Chapter 9: Extras

Lecture 1: Analyzing ChatGPT

Instructors

Hussein Nasser
Software Engineer, Author

Rating Distribution

1 stars: 3 votes

2 stars: 5 votes

3 stars: 26 votes

4 stars: 105 votes

5 stars: 334 votes

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