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Use Chrome DevTools, MITM Proxy, and Wireshark to identify and address bottlenecks in your backend stack.

This course covers:

Discovering Backend Bottlenecks: Unlocking Peak Performance is a comprehensive 9.5-hour on-demand video course with two accompanying articles and two downloadable resources that will provide you with the skills and knowledge to identify, diagnose, and correct backend performance bottlenecks quickly and efficiently. This course is accessible on mobile devices, TVs, and computers so you can learn anytime, anywhere.

Learn how to:

In this topic, you will learn how to identify bottlenecks in backend applications, judiciously find all the latencies involved and cull out slow requests from mobile and web apps. It is beneficial to maximize the potential of DevTools' Networking tap. You will know how to use Man in the Middle proxy MITM to intercept HTTP transactions and then capture responses with a packet-sniffer such as Wireshark. With these basics, you can do traffic analysis and develop insights into network optimizations that better performance in web applications.

With each request from the client and subsequent response from the server maturing via an intricate network trail, understanding where latency lives could be a challenge. Moreover, when requests are incurred by various clients from different geographical locations around the world, isolating them for analysis would further compound complexity. However exploring topics such as techniques for spot-fixing mobile client slowdown, reading packets deeper with multiple ports using Wireshark; interpreting frontend application load over time etc could help administrators note any discrepancies caused due to lags or slowness. Mastering this will help development teams troubleshoot latency issues seamlessly without impacting user experience adversely by ensuring speedy access anytime!

About Hussein Nasser

Hussein Nasser is a dedicated and knowledgeable software engineer. His passion for the craft all began when he received a book on programming and Visual Basic 2.0 from his uncle in 1998. With that book, Hussein was exposed to the world of software engineering and soon realized just how much he enjoyed this craft. Since then, Hussein has used every means possible to express himself on the subject - whether it’s posting on bulletin boards or writing blogs or even producing his own video tutorials on YouTube.

Hussein currently runs a YouTube channel which mainly focuses on topics related to software engineering such as databases, proxies, security, networking, protocols, and programming. Here he provides clear guidance and instruction on some of the most technical aspects of backend tech. For this reason, more viewers are tuning into his channel daily making him quite an authority figure in the software engineering world!

Description

Performance of backend applications can significantly determine the success or failure of a website. While application logic is an important factor, there are many other components that play a pivotal role in determining the performance levels of the application. Networking, connection establishment, security protocols, protocol serialization, intermediaries and data storage are all components with which developers must intuit for optimization of their product.

Black box testing has become an indispensable tool which provides developers with an assessment of back end performance before actually stepping into the code. This method allows developers to quickly detect potential bottlenecks by tracing and observing network traffic patterns from different points in order to analyze what is changeable and where solutions can be found accordingly. By using such tools such as packet sniffing, monitoring, API inspection and network mapping we can easily observe and measure backend performance from a distance without having access to the source code directly. This technology saves us time by providing quick insights into potential issues on our backend architecture -- thereby allowing us to quickly address concerning areas and improve our product's overall quality after addressing those issues accordingly.

Debugging an app becomes easier if the developer has access to the source code. However, in many cases, engineers either do not have access to the source code or it can be time-consuming to debug a complex app. In this course, I provide tools for analyzing backend application performance and making informed hypotheses about potential issues without needing to access the code. This type of testing is commonly referred to as black box testing.

Devtools can be used to inspect all traffic from a web application that is consumed through a browser, providing valuable information about the app. To troubleshoot the issue of the app not being available in the browser, we can utilize a MITM proxy that intercepts HTTP traffic and logs it. This allows us to inspect requests and identify any problematic ones. When the application employs a non-HTTP protocol, intercepting it with a proxy can be challenging. Therefore, utilizing both tcpdump and Wireshark to capture low-level packets and observe requests is recommended.

The course is intended for developers and engineers who possess experience in constructing both backend and frontend applications and wish to enhance their abilities. This course is designed for intermediate to advanced students with a recommended background in networking and backend fundamentals, both of which can be obtained through courses.

Requirements

In order to satisfy the requirements of a job or project, a person must have built a frontend or backend application. This experience is necessary since it is an indicator that the individual knows how to develop software and work with coding languages such as HTML, CSS, JavaScript, Python, and other popular technologies. Moreover, knowledge on networking and backend concepts are also key. With this expertise, they can understand how different components like databases and web servers communicate with each other in order to create an optimal environment for the function of their app. A deep understanding of these topics can help them optimize performance levels while troubleshooting any problems regarding network infrastructure and security.

Best for:

This course is designed for a variety of engineers looking to hone their software development and engineering skills. Backend Engineers, Frontend Engineers, Q&A Engineers, and Full Stack Engineers will all benefit from the content. This course covers topics such as coding principles, debugging techniques, build automation software, and much more. The hands-on approach will provide students with an opportunity to craft programming projects that combine the principles and best practices discussed in the lessons.

The course also provides a comprehensive introduction into IT architecture and security measures that modern software must abide by. Additional topics discussed include scalability and performance enhancement factors, as well as how to utilize cloud computing technology in order to develop more efficient applications. Throughout this course, these concepts are approached from both a theoretical standpoint and through practice exercises that involve real-world examples of software engineering challenges encountered in the field.

10 Frequently Asked Questions

What Causes Backend Bottlenecks?

Common causes of backend bottlenecks include inadequate hardware, slow database queries, inefficient coding practices, or insufficient server resources.

What Are the Benefits of Discovering Backend Bottlenecks?

Discovering and rectifying backend bottlenecks can lead to improved performance and a better user experience. This also helps with scalability as your infrastructure can handle an increased load .

What Are the Steps Involved in Discovering Backend Bottlenecks?

The process of discovering backend bottlenecks typically involves analyzing log files, inspecting and monitoring performance metrics such as response time, server usage, and throughput, as well as using specialized tools to pinpoint areas of concern.

How Can I Optimize Backend Performance?

Optimizing backend performance involves making changes to the architecture or processes of your infrastructure in order to reduce bottlenecks and increase efficiency. This can involve switching to faster hardware, optimizing queries, using caching methods, and introducing load balancing solutions.

What Are Load Balancing Solutions?

Load balancing solutions are techniques used to distribute workloads across multiple computing resources in order to increase performance, reliability and scalability. Load balancers can be implemented at the hardware or software level, with hardware devices being the most popular option. Common examples of load balancers include reverse proxy servers, content delivery networks, DNS-based services and application layer gateways. Generally speaking, these solutions help ensure that requests are distributed evenly and efficiently across servers.

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