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Improving Backend Application Performance - Basics

This is a follow-up lecture to 'Testing Backend Application Performance', and it will lay the foundation for improving the performance of the backend application you created.

(4.8) 10 reviews

358 learners

Level Intermediate

Course period Unlimited

stress-testing
stress-testing
artillery
artillery
cache
cache
performance-tuning
performance-tuning
asynchronous-programming
asynchronous-programming
stress-testing
stress-testing
artillery
artillery
cache
cache
performance-tuning
performance-tuning
asynchronous-programming
asynchronous-programming

Reviews from Early Learners

4.8

5.0

fain9301

100% enrolled

Thank you for the good lecture.

5.0

shameless8

100% enrolled

I was very interested in performance improvement, so I took a lecture, and it was very helpful.

5.0

dfdrdodm95

100% enrolled

I felt that the lecture structure was very good. The traditional method has the disadvantage of having to reproduce everything through practice in the video, which wastes unnecessary time and makes it difficult to know what to focus on. This lecture is well compressed to avoid such inconveniences, and the content sufficiently explains the keywords I wanted, so I am satisfied.

What you will gain after the course

  • API Performance Testing

  • Why server resources affect performance and how to improve it

  • Improving performance using asynchrony

  • How to create unique keys without duplicate checks using Snow Flakes

  • Improving query performance using indexes and caches

If you have done a performance test,
This time, we should try to improve performance, right?


As promised in the last performance testing lecture, we're back with a performance improvement lecture 🤗


The biggest change I've experienced since I started working in a team, as opposed to when I was developing alone, is measuring and improving performance. When I was developing applications on my own, the small number of users meant performance wasn't a major issue. However, as we process more data and traffic increases, I've realized that performance testing is essential . Even if a feature works well, poor performance can easily become a point of failure for the entire system, significantly impacting the user experience.

This lecture covers performance testing to address these issues and how to improve the API's logic accordingly . Using a shortened URL service as an example, we've prepared an easy-to-understand method for gradually improving the performance of your backend application.

First, we'll examine the basic code of the shortened URL application and deploy it to a server. We'll measure the performance of the creation and query APIs, explore potential performance improvements, and implement performance improvement methods one by one.

For the generation API, performance can be improved by increasing the number of request processing threads, increasing the server size, and separating response and generation. Learn how asynchronous processing and the snowflake algorithm can significantly improve the performance of the generation API.

To improve the performance of the query API, we'll cover methods such as adding database indexes, utilizing caches, and leveraging windowing. Through hands-on practice, you'll learn how to significantly improve query performance.


Analyze API-specific logic to derive performance improvement measures.


Eliminate duplicate URL key check logic using Snowflake


Presenting step-by-step performance improvement plans and confirming performance test results


Learn about these things

1⃣ How to improve performance by increasing server resources

There are various resources in an application server that affect performance. These range from physical resources like CPU, memory, and disk to software resources like threads and connections. All of these ultimately impact performance. This lecture explores how these server resources impact performance and how to improve it.

How to improve performance by increasing server resources

2⃣ Reducing Latency Using Asynchrony

The performance of an application perceived by the client, the API user, is ultimately determined by latency, the time it takes for a request to be responded to. Ultimately, if the client receives a faster response for the same task, the API's performance will be perceived as better. However, if the client is not a true user but another server, this will impact the overall system performance. Let's explore performance enhancement methods that leverage asynchrony to improve this aspect.

Reducing Latency Using Asynchrony

3⃣ Improving query performance using indexes and caches

When discussing query performance, indexes and caches are inevitably mentioned. Indexes are primarily handled at the database level, while caches exist in various forms, including within-application caches and shared caches. While this lecture doesn't delve into the specifics of indexes and caches, it does demonstrate how their presence can significantly impact API performance.

Improving query performance using indexes and caches

4⃣ Improving Update Query Performance Using Windowing

When update queries targeting the same record are continuously executed, locks on the record can cause a sharp performance degradation. This is commonly referred to as a "hot spot." While there are various ways to improve performance by addressing the hot spot issue, we'll address it through windowing, which is appropriate for increasing the redirectCount of a shortened URL.

*) The content covered in the lecture is closer to batch processing, but it has the same idea as windowing. If you change it to leverage Kafka, you can easily convert it to windowing.

Improving Update Query Performance Using Windowing

Things to note before taking the course

Practice environment

  • Operating System and Version (OS): Windows 10,

  • Tools used: Intellij Community 2023.2, Google Chrome


Learning Materials

Player Knowledge and Precautions

  • We use Vultr for our cloud service, but you can also use other cloud services like AWS or GCP. However, there will be some differences, such as firewall settings, when using other cloud services. However, I believe you'll gain more by researching these issues yourself and experiencing them firsthand.

  • We're conducting performance testing using Artillery, which we used in our previous performance testing lecture. Performance testing using nGrinder is briefly described in the appendix.

  • If you have any questions while taking the course, please leave a question. I'll update the information if necessary.


Recommended for
these people

Who is this course right for?

  • Anyone who has taken the previous lecture, ‘Testing Backend Application Performance’

  • Anyone who wants to learn about widely used methods to improve API performance

Need to know before starting?

  • Backend application development experience

  • Interested in or experience with performance testing

Hello
This is foo

Career Verified

6,394

Learners

358

Reviews

117

Answers

4.9

Rating

9

Courses

Hello.

I'm Foo, and through my mentoring, I put a lot of thought into how to clearly explain concepts that junior developers often find challenging.

I look forward to working with you.

Experience

  • 2019. 08 ~ Present : Kakao Java Backend Developer

  • 2021. 08 ~ Present: programmers Backend Dev Course Mentor

  • 2021. 12 ~ Present: F-Lab Java Backend Mentor

Book

  • This is Backend Development for Employment with Java (Link)

Other experiences and lectures on other platforms can be found at the GitHub link below.

GitHub - https://github.com/lleellee0

More

Curriculum

All

17 lectures ∙ (2hr 39min)

Published: 
Last updated: 

Reviews

All

10 reviews

4.8

10 reviews

  • shameless84649님의 프로필 이미지
    shameless84649

    Reviews 1

    ∙

    Average Rating 5.0

    5

    100% enrolled

    I was very interested in performance improvement, so I took a lecture, and it was very helpful.

    • dfdrdodm95님의 프로필 이미지
      dfdrdodm95

      Reviews 14

      ∙

      Average Rating 5.0

      5

      100% enrolled

      I felt that the lecture structure was very good. The traditional method has the disadvantage of having to reproduce everything through practice in the video, which wastes unnecessary time and makes it difficult to know what to focus on. This lecture is well compressed to avoid such inconveniences, and the content sufficiently explains the keywords I wanted, so I am satisfied.

      • foo
        Instructor

        Thank you, dfdrdodm95. (_ _) As you said, I'm trying to deliver the lecture content as compactly as possible~ In the future, I will continue to make lectures that meet dfdrdodm95's expectations.

    • fain9301님의 프로필 이미지
      fain9301

      Reviews 102

      ∙

      Average Rating 4.7

      5

      100% enrolled

      Thank you for the good lecture.

      • foo
        Instructor

        You worked hard completing Won Deok-hee's lecture!

    • println님의 프로필 이미지
      println

      Reviews 1

      ∙

      Average Rating 5.0

      5

      100% enrolled

      • foo
        Instructor

        Thank you for your hard work, println. Thank you for leaving a review~!

    • sasas님의 프로필 이미지
      sasas

      Reviews 99

      ∙

      Average Rating 4.9

      5

      100% enrolled

      • foo
        Instructor

        Thank you so much for leaving a review, Kyu Kyu Kyu! You worked hard to complete the entire course.

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