The Backend Engineering Show with Hussein Nasser

In this video, I would like to discuss 10 performance tweaks and tips that you can apply to your frontend application to improve its performance and efficiency. These tips are applicable to any programming language on Web, mobile, or desktop application.  Chapters 0:00 Intro 0:40 Optimistic queries 1:57 Paging 3:00 Lazy Loading 4:00 Request what you Need 6:53 Connection State 10:00 LRU Cache 11:10 Group Notifications 12:30 Avoid Expensive Queries Even At Expense of Bad UX 14:00 Design your UX So you Minimize Requests

In this video I explain the difference between Agile & Water, the pros & cons and more.

Chapters

0:00 Intro

1:00 Waterfall

5:00 Agile

In this video I explain how WebSockets work in the new HTTP/2 protocol. This is explained in the  Bootstrapping WebSockets with HTTP/2 in RFC8441 https://tools.ietf.org/html/rfc8441 https://link.medium.com/v5sB9nbUp6  1:00 HTTP2 5:50 HTTP/2 limitations

Metroexpress lane is implementing a Machine Learning Occupancy Detection System which I found interesting. In this video I discuss machine learning, supervised learning, labeling and much more.

In this video I explain the multi-tenancy architecture. The basic idea is to have a single instance of your application to serve multiple tenants or customers and the properties are this. This is as opposed to isolated or dedicated infrastructure.

Tags

Multitenancy, software Multitenancy, Multitenancy explained, Multitenancy architecture

https://www.zdnet.com/article/defining-the-true-meaning-of-cloud/

Algorithms & Data Structures are critical to Backend Engineering however it really depends on what kind of application and infrastructure you are building. In this video I want to go through the following   1 Backend Engineers are two types - Integrating Existing Backend  - Core Backend  Example Building a CRUD API? Online Cinema system, URL shortener, You will pick up a database and write your logic Building a social network?  * are you gonna be integrator use a ready made graph database?  * Are you gonna use a off the shelf database and write your logic in the application? * Are you gonna build your own graph database platform?  * Any of these scenarios you will run into problems slow performance and you need to understand why  Building a monitoring system? are you gonna integrate an existing database ? or build your own?     2. Be Pragmatic  (Algorithms are not always the solution)   * Most performance issues are not algorithm problems, they are just bad bugs. and misuse .. paging  We are a sorted 100 items takes 1 minute to sort and return.. merge sort or heap or quick sort won’t help you   3. Always keep learning to be open to learn new Algorithms

In this video I want to talk about my preferred method of learning backend engineering technologies, I prefer podcasts and youtube videos some people prefer books.

Recommended Podcasts

https://softwareengineeringdaily.com/

https://www.dataengineeringpodcast.com/

https://changelog.com/podcast

Recommended YouTube Channels

https://www.youtube.com/user/TechGuyWeb

https://www.youtube.com/user/99baddawg

https://www.youtube.com/channel/UCRPMAqdtSgd0Ipeef7iFsKw

https://www.youtube.com/channel/UCn1XnDWhsLS5URXTi5wtFTA

Message Queues system like RabbitMQ and Kafka are amazing technologies but when should you actually use a message queue? I discuss this in this video.

In this video I talk about RabbitMQ Channels compared to HTTP/2 Streams and how QUIC helps mitigate some of the major limitations in Channels and Streams.

Chapters

0:00 Intro

0:10 RabbitMQ Channels

3:10 HTTP/2 Streams

6:00 How QUIC Helps

In this video I discuss why QUIC will make a great communication protocol for databases and how it solves a critical problem with stateless web applications. Web applications uses database connection pooling to establish database connections on the backend. But that creates other sorts of problems.

Timecodes

0:00 Intro

0:20 Database Communication Protocols

2:00 Problem with Sharing Database Connections

6:50 How QUIC streams can help Databases