BackEnd Performance Optimization

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Basics Strong

4:12:44

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1. Introduction

1. Introduction.mp4

04:00

2. System Hardware Performance - Network & IO

1. Introduction.mp4

01:57

2. CPU.mp4

07:14

3. Cache.mp4

03:01

4. Memory Usage or RAM Capacity.mp4

05:20

5. Disk Capacity and Disk IO.mp4

04:52

6. NetworkIO.mp4

07:05

7. Summary.mp4

00:55

3. Application Performance Key Metrics

1. Introduction.mp4

04:13

2. KPIs.mp4

01:46

3. Availability UpTime.mp4

06:04

4. Conceptually measuring AvailabilityUptime.mp4

02:04

5. Response Time or Latency.mp4

04:34

6. Conceptually Measuring Response Time.mp4

02:59

7. Throughput.mp4

04:20

8. Conceptually Measuring Throughput.mp4

02:54

9. Error Rate.mp4

03:43

10. Conceptually Measuring Error Rate.mp4

02:58

11. Summary.mp4

02:40

4. Monitoring and Profiling

1. Introduction.mp4

03:24

2. Profiling Techniques and Profilers.mp4

06:36

3. Summary.mp4

00:53

5. Database Performance Optimisation

1. Introduction.mp4

02:46

2. ACID and BASE.mp4

12:18

3. Choosing the right data store.mp4

10:35

4. Connection Pooling.mp4

09:32

5. Query Optimization.mp4

17:28

6. Indexing.mp4

11:21

7. Summary.mp4

02:47

6. Code and Memory Optimization

1. Introduction.mp4

01:20

2. Using the right Data Structures.mp4

19:43

3. Save Memory.mp4

16:06

4. Optimize Concurrent Code.mp4

05:16

5. Leveraging Async.mp4

09:22

6. Using right IO mechanism.mp4

09:22

7. Summary.mp4

00:47

7. Caching and Caching Strategies

1. Introduction.mp4

01:20

2. Client Side Caching.mp4

04:41

3. Client Side Caching strategies.mp4

09:19

4. Server Side Caching.mp4

05:04

5. Server Side Caching stratagies.mp4

12:10

6. CND.mp4

04:54

7. Other Hacks.mp4

02:06

8. Summary.mp4

00:55

Description

Application Performance Optimization, DataBase Performance, Code Performance, Cache,Performance KPIs,Performance Testing

What You'll Learn?

Learn to optimize performance in existing codebase
Learn to write high performance code
Learn to Measure performance KPI of your application
Backend performance Optimization

Who is this for?

Developers, Architect, Engineering Managers, Software Engineers

What You Need to Know?

None

More details

Description
In today's digital landscape, where user expectations are higher than ever, achieving optimal performance of your backend systems is crucial. Whether it's about ensuring fast response times, handling large volumes of data efficiently, or supporting concurrent users seamlessly, back-end performance optimization is a cornerstone of successful application development.
In this course, we'll delve into the intricacies of back-end performance optimization, focusing on maximizing the efficiency of your existing resources without the need for additional hardware or infrastructure.
We'll explore two fundamental approaches to achieving back-end performance: optimization and scaling. Optimization involves fine-tuning your current setup - tweaking databases, optimizing code, and implementing advanced techniques like caching to squeeze out every bit of performance. On the other hand, scaling involves throwing more resources at the problem, such as adding databases, hardware, RAM, and CPUs to meet growing demands.
Our emphasis will be on optimization - harnessing the full potential of your existing resources to deliver superior performance.
Before diving into the techniques of database and code optimization, we'll lay the foundation by understanding how to measure performance and identify key performance indicators (KPIs). Without proper metrics, it's impossible to gauge whether your application is meeting performance standards.
Next, we'll explore application performance testing, equipping you with the tools to accurately measure and evaluate performance.
Monitoring and profiling will be our next focus. Understanding how to monitor and profile your application is essential for maintaining peak performance over time.
Once we've covered the fundamentals, we'll delve into the core content. We'll start with optimizing database performance, addressing common bottlenecks and critical considerations.
Then, we'll shift our focus to code optimization, exploring best practices for writing efficient code that maximizes performance.
Finally, we'll explore caching strategies to alleviate the load on your application, boosting performance and scalability.
By the end of this course, you'll gain a comprehensive understanding of performance considerations and be equipped with the tools and techniques to optimize your application's performance effectively.
To reiterate, this course is not about scaling; it's about making the most of your existing resources.
We're confident that this course will add significant value to your career, empowering you to tackle performance challenges head-on.
We're thrilled to have you on board and look forward to embarking on this journey together. Remember, if you're not satisfied, we offer a 30-day, no-questions-asked money-back guarantee.
Welcome to the course, and let's dive into the world of back-end performance optimization!
See you in the Course!
Who this course is for:
Developers, Architect, Engineering Managers, Software Engineers

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Hi,We are a team of technocrats from IITs who work for solving problems through technology. We work on mission critical projects in AI, Machine Learning, BlockChain as domain and Java, Python, JavaScript and a lot of tools and technologies in technology space.We all as a group love to code and Program.We believe in strong foundation that's why we create courses which helps us students and professionals to build their Basics. Strong foundation and basics of programming concepts can lead to solve any technical problem and to excel in the career. That's why we as a team thinks everyday how to make the complicated concepts easy to learn. All our courses are practical and with hands-on examples and comprehensive working files. All Our videos are created after a comprehensive research and reviews.Happy Learning! and All The Best for a Great Foundation!

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