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Fundamentals of Database Engineering udemy course (link redirects to udemy with coupon) Why create Index blocks writes In this video I explore how create index, why does it block writes and how create index concurrently work and allow writes. 0:00 Intro 1:28 How Create Index works 4:45 Create Index blocking Writes 5:00 Create Index Concurrently
HTTP/3 is getting popular in the cloud scene but before you migrate to HTTP/3 consider its cost. I explore it here. 0:00 Intro HTTP/3 is getting popular 3:40 HTTP/1.1 Cost 5:18 HTTP/2 Cost 6:30 HTTP/3 Cost
The Encrypted Client Hello or ECH is a new RFC that encrypts the TLS client hello to hide sensitive information like the SNI. In this video I go through pros and cons of this new rfc. 0:00 Intro 2:00 SNI 4:00 Client Hello 8:40 Encrypted Client Hello 11:30 Inner Client Hello Encryption 18:00 Client-Facing Outer SNI 21:20 Decrypting Inner Client Hello 23:30 Disadvantages 26:00 Censorship vs Privacy ECH
From the frontend through the kernel to the backend processWhen we send a request to a backend most of us focus on the processing aspect of the request which is really just the last step. There is so much more happening before a request is ready to be processed, most of this step happens in the Kernel. I break this into 6 steps, each step can theoretically be executed by a dedicated thread or process. Pretty much all backends, web servers, proxies, frameworks and even databases have to do all these steps and they all do choose to do it differently. Grab my backend performance course 0:00 Intro 3:50 What is a Request? 10:14 Step 1 - Accept  21:30 Step 2 - Read 29:30 Step 3 - Decrypt 34:00 Step 4 - Parse 40:36 Step 5 - Decode 43:14 Step 6 - Process Medium article
In a wonderful blog, Kyle explores the pains he faced managing a Postgres instance for a startup he works for and how enabling partitioning sigintfically created wait events causing the backend and subsequently NGINX to through 500 errors. We discuss this in this video/podcast
WebTransport is a cutting-edge protocol framework designed to support multiplexed and secure transport over HTTP/2 and HTTP/3. It brings together the best of web and transport technologies, providing an all-in-one solution for real-time, bidirectional communication on the web. Watch full episode (subscribers only)
fsync is a linux system call that flushes all pages and metadata for a given file to the disk. It is indeed an expensive operation but required for durability especially for database systems. Regular writes that make it to the disk controller are often placed in the SSD local cache to accumulate more writes before getting flushed to the NAND cells. However when the disk controller receives this flush command it is required to immediately persist all of the data to the NAND cells. Some SSDs however don't do that because they don't trust the host and no-op the fsync. In this video I explain this in details and go through details on how postgres provide so many options to fine tune fsync 0:00 Intro 1:00 A Write doesn’t write 2:00 File System Page Cache 6:00 Fsync 7:30 SSD Cache 9:20 SSD ignores the flush 9:30 15 Year old Firefox fsync bug 12:30 What happens if SSD loses power 15:00 What options does Postgres exposes? 15:30 open_sync (O_SYNC) 16:15 open_datasync (O_DSYNC) 17:10 O_DIRECT 19:00 fsync 20:50 fdatasync 21:13 fsync = off 23:30 Don’t make your API simple 26:00 Database on metal?
ego is the main problem to a defective software product. the ego of the engineer or the tech lead seeps into the quality of the product. Fundamentals of Backend Engineering Design patterns udemy course (link redirects to udemy with coupon)
Fundamentals of Database Engineering udemy course (link redirects to udemy with coupon) In version 5.3, MongoDB introduced a feature called clustered collection which stores documents in the _id index as oppose to the hidden wiredTiger hidden index. This eliminates an entire b+tree seek for reads using the _id index and also removes the additional write to the hidden index speeding both reads and writes.  However like we know in software engineering, everything has a cost. This feature does come with a few that one must be aware of before using it. In this video I discuss the following  How Original MongoDB Collections Work How Clustered Collections Work Benefits of Clustered Collections Limitations of Clustered Collections  
Prime video engineering team has posted a blog detailing how they moved their live stream monitoring service from microservices to a monolith reducing their cost by 90%, let us discuss this 0:00 Intro 2:00 Overview 10:35 Distributed System Overhead 21:30 From Microservices to Monolith 29:00 Scaling the Monolith 32:30 Takeaways Fundamentals of Backend Engineering Design patterns udemy course (link redirects to udemy with coupon)
Fundamentals of Database Engineering udemy course (link redirects to udemy with coupon) In a row-store database engine, rows are stored in units called pages. Each page has a fixed header and contains multiple rows, with each row having a record header followed by its respective columns. When the database fetches a page and places it in the shared buffer pool, we gain access to all rows and columns within that page. So, the question arises: if we have all the columns readily available in memory, why would SELECT * be slow and costly? Is it really as slow as people claim it to be? And if so why is it so? In this post, we will explore these questions and more. 0:00 Intro 1:49 Database Page Layout 5:00 How SELECT Works 10:49 No Index-Only Scans 18:00 Deserialization Cost 21:00 Not All Columns are Inline 28:00 Network Cost 36:00 Client Deserialization
Lambda now supports Response payload streaming, now you can flush changes to the network socket as soon as it is available and it will be written to the client socket. I think this is a game changing feature 0:00 Intro 1:00 Traditional Lambda 3:00 Server Sent Events & Chunk-Encoding 5:00 What happens to clients? 6:00 Supported Regions 7:00 My thoughts Fundamentals of Backend Engineering Design patterns udemy course (link redirects to udemy with coupon)
Cloudflare released a blog detailing a vulnerability that has been in their system for nearly two years. it is related to mTLS or mutual TLS and specifically client certificate revocation. I explore this in details 0:00 Intro 3:00 The Vulnerability 7:00 What happened? 8:50 Certificate Revocation 12:30 Rejecting certain endpoints 17:00 Certificate Authentication 20:30 Certificate serial number 24:00 Session Resumption (PSK) 35:00 The bug 37:00 How they addressed the problem Fundamentals of Backend Engineering Design patterns udemy course (link redirects to udemy with coupon)
BGP (Border gateway protocol) withdrawals caused the Virgin media ISP customers to lose their Internet connection. I go into details on this video. 0:00 Intro 2:00 What happened? 4:11 How BGP works? 11:50 Version media withdrawals 15:00 Deep dive Fundamentals of Backend Engineering Design patterns udemy course (link redirects to udemy with coupon)
GitHub Accidentally Exposed their SSH RSA Private key, this is the message you will get . @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ @ WARNING: REMOTE HOST IDENTIFICATION HAS CHANGED! @ @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ IT IS POSSIBLE THAT SOMEONE IS DOING SOMETHING NASTY! Someone could be eavesdropping on you right now (man-in-the-middle attack)! It is also possible that a host key has just been changed. The fingerprint for the RSA key sent by the remote host is SHA256:uNiVztksCsDhcc0u9e8BujQXVUpKZIDTMczCvj3tD2s. Please contact your system administrator. Add correct host key in ~/.ssh/known_hosts to get rid of this message. Host key for has changed and you have requested strict checking. Host key verification failed. In this video I discuss how bad is this,. 0:00 Intro 1:10 What happened? 3:00 SSH vs TLS Authentication 6:00 SSH Connect 7:45 How bad is the github leak? 15:00 What should you do? 18:50 Is ECDSA immune?
How Linus Tech Tips channel got Hacked In this short video we explain how was it possible for Linux to get hacked with cookies hijacking. 0:00 Intro 0:47 TLDR what happened 5:10 Cookies in Chrome 7:30 Cookies Hijacking 8:46 Session Tokens (Access/Refresh) 10:00 Remedies
Get my database engineering course In this video I do a deep dive in all locks obtained by postgres, I learned a lot while making this video and hope you enjoy it.  0:00 Intro  2:30 What are Locks?  5:30 Overview of Postgres Locks 9:10 Table-Level Locks 11:40 ACCESS EXCLUSIVE 17:40 ACCESS SHARE 19:00 ROW SHARE 20:15 ROW EXCLUSIVE 21:15 SHARE UPDATE EXCLUSIVE 23:30 SHARE 24:50 SHARE ROW EXCLUSIVE 25:18 EXCLUSIVE 25:30 Table Lock Conflict Matrix 28:30 Row-Level Locks 30:00 FOR UPDATE 33:00 FOR NO KEY UPDATE 34:00 FOR SHARE 34:40 FOR KEY SHARE 35:10 Row Lock Conflict Matrix 39:25 Page-Level Locks 42:00 Deadlocks 46:00 Advistory Locks 47:20 Summary
Pinterest moves to HTTP/3 on all their clients and edge CDNs this year. They witnessed interesting gains but not without good lesson learned. The main one was the mismatch of alt-svc vs DNS ttls. I cover this on the next episode of the backend engineering course. 0:00 Intro 2:00 Moving h2 to h3 through alt-svc 5:00 Why HTTP/3 6:00 HTTP/1 vs HTTP/2 9:00 TCP Head of Line blocking in HTTP/2 11:00 How HTTP/3 addresses HOL 12:15 Connection Migration 13:30 Stream level congestion control 14:10 1-RTT - 0-RTT 15:41 Pinterest challenges moving HTTP/3 19:00 Migration 21:15 Future work 22:30 Summary article Fundamentals of Backend Engineering Design patterns udemy course (link redirects to udemy with coupon)
On March 7 2023, Loom users started seeing each others data as a result of cookies getting leaked from the CDN. This loom security breach is really critical. Let us discuss   0:00 Intro 1:00 Why Cookies 2:00 How this happens 5:50 What caused it? 7:30 How Loom solved it? 8:20 Reading the RCA 10:30 Remedies
Discord engineering goes into details of how they migrated from Cassandra to ScyllaDB, improved the performance of their reads and writes and rearchitected their backend to support the new load. It is an interesting episode lets get into it 0:00 Intro 1:50 Relational vs Distributed 7:00 The Cassandra Troubles 11:00 SnowFlake vs UUID 14:30 B+Tree 19:20 B+Tree and SSDs 25:30 LSM Trees 31:00 Hot partitions 36:00 Cassandra Garbage Collector Pauses 40:00 Changing the Architecture 45:00 The Data Services 55:00 The Migration 1:02:00 Zoned Named Spaces 1:04:00 Summary Article here How Discord Stores Trillions of Messages
Comments (2)

jalal nx

I was struggling understanding those devil concepts, I was in a position of can't talk on them with anyone because I haven't acquired the all thing that good. Thanks you sensei

Mar 12th

Emad Poursina

Awesome job great content 👌👍

Nov 16th
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