BackEnd Performance Optimization
BackEnd Performance Optimization, available at $54.99, has an average rating of 4.25, with 57 lectures, based on 15 reviews, and has 249 subscribers.
You will learn about Learn to optimize performance in existing codebase Learn to write high performance code Learn to Measure performance KPI of your application Backend performance Optimization This course is ideal for individuals who are Developers, Architect, Engineering Managers, Software Engineers It is particularly useful for Developers, Architect, Engineering Managers, Software Engineers.
Enroll now: BackEnd Performance Optimization
Summary
Title: BackEnd Performance Optimization
Price: $54.99
Average Rating: 4.25
Number of Lectures: 57
Number of Published Lectures: 57
Number of Curriculum Items: 57
Number of Published Curriculum Objects: 57
Original Price: $22.99
Quality Status: approved
Status: Live
What You Will 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 Should Attend
- Developers, Architect, Engineering Managers, Software Engineers
Target Audiences
- Developers, Architect, Engineering Managers, Software Engineers
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!
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Chapter 2: System Hardware Performance – Network & IO
Lecture 1: Introduction
Lecture 2: CPU
Lecture 3: Cache
Lecture 4: Memory Usage or RAM Capacity
Lecture 5: Disk Capacity and Disk IO
Lecture 6: NetworkIO
Lecture 7: System Performance Monitoring – OS tools
Lecture 8: Summary
Chapter 3: Application Performance Key Metrics
Lecture 1: Introduction
Lecture 2: KPIs
Lecture 3: Availability / UpTime
Lecture 4: Conceptually measuring Availability/Uptime
Lecture 5: Response Time or Latency
Lecture 6: Conceptually Measuring Response Time
Lecture 7: Throughput
Lecture 8: Conceptually Measuring Throughput
Lecture 9: Error Rate
Lecture 10: Conceptually Measuring Error Rate
Lecture 11: Summary
Chapter 4: Application Performance Testing
Lecture 1: Introduction
Lecture 2: Performance Testing and Its purpose
Lecture 3: Measuring Application Performance
Lecture 4: Performance Testing Types
Lecture 5: Performance Testing with Jmeter -Demo
Lecture 6: Summary
Chapter 5: Monitoring and Profiling
Lecture 1: Introduction
Lecture 2: Profiling Techniques and Profilers
Lecture 3: Profiling and Monitoring Demo -Newrelic
Lecture 4: Summary
Lecture 5: Profiling Demo
Chapter 6: Database Performance Optimisation
Lecture 1: Introduction
Lecture 2: ACID and BASE
Lecture 3: Choosing the right data store
Lecture 4: Connection Pooling
Lecture 5: Query Optimization
Lecture 6: Indexing
Lecture 7: Summary
Chapter 7: Code and Memory Optimization
Lecture 1: Introduction
Lecture 2: Using the right Data Structures
Lecture 3: Save Memory
Lecture 4: Optimize Concurrent Code
Lecture 5: Leveraging Async
Lecture 6: Using right IO mechanism
Lecture 7: Summary
Chapter 8: Caching and Caching Strategies
Lecture 1: Introduction
Lecture 2: Client Side Caching
Lecture 3: Client Side Caching strategies
Lecture 4: Server Side Caching
Lecture 5: Server Side Caching stratagies
Lecture 6: CND
Lecture 7: Other Hacks
Lecture 8: Summary
Chapter 9: Bonus – Algo Complexity analysis
Lecture 1: Introduction
Lecture 2: Complexity Analysis – 1
Lecture 3: Complexity Analysis – 2
Lecture 4: Summary
Instructors
-
Basics Strong
Team of technocrats and Programming lovers
Rating Distribution
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- 2 stars: 2 votes
- 3 stars: 3 votes
- 4 stars: 4 votes
- 5 stars: 6 votes
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