This is great, AWS claims that recently they improved the start-up time of Lambda over 1000x, so I wonder if that changes the perspective here or if it's not comparable.

Data write on Disks - 2:27 Data in memory - 4:45 Reads - 6:32 Indexes - 9:13 Indexed reads - 10:23 Index optimization - 17:04 Concurrent record operations - 21:21 Data scale - 25:44 Minimizing database hell - 29:18 Scale compromises - 32:20 Transactions - 34:37 A flow-chart for choosing databases - 38:16 An exercise to choose databases - 42:20 Archimydes ending credit - 1:15.25

Promo sm 😃

Promo>SM

Intro to Joel - 4:49 What is Web Assembly, and Why should you use it? - 08:52 Why should you not use WebAssembly - 13:24 Containerisation isolation strategies compared - 16:31 Frameworks that support isolation prior to WebAssembly - 19:52 The history, current state and future direction of WebAssembly - 23:36 Language support for WebAssembly - 31:23 Beyond the Browser - 37:06 WASI - WebAssembly Interface - 46:08 Future proposals of WebAssembly - 49:14 Building a serverless web app with Wasm from scratch demonstration - 54:37

3:03 - An Overview of Generative AI 3:30 - A history of AI 6:02 - The different types and limitations of AI systems 9:15 - How does natural language generation work? 13:59 - Tools for NLG 20:00 - Examples and discussion of AI limitations 27:46 - How does image generation work? 28:45 - Tools for image generation 30:00 - QA 40:43 - AI app demonstration

Keep up the good work CK... Proud of you..

04:32 - What are Monrepos? 06:08 - Pros and Cons of Monorepos 08:25 - Using Lerna to manage multiple packages in a monorepo 14:56 - Sharing code and dependencies between applications using Lerna 18:06 - Creating a shared package using Lerna 19:43 - Primary commands used with Lerna 20:34 - Options beyond Lerna (TurboRepo, Bazel, Nx) 22:38 - Difficulty in developing end to end test cases when using Lerna 24:52 - How does TurboRepo solve for the problem of building end to end test cases?

🔥🔥🔥🔥

Do Sycamore, Perseus, Dominator, and MoonZoon require gpu being enabled in browser?

I have almost 20 years of C++ experience, and a lot of Python, Bash, Java etc. I have 3 months of Rust experience and my bold prediction is: in the future, almost everything will be written in Rust. For example, I even do my scripting in Rust now. It's SUPERIOR. Finally I can ABANDON Bash scripting, and Python. My mental state is much better. I'm healing, definitely.

Below are some areas that were covered: 07:53: What is the DevOps mindset 13:50: How does MLOps differ from DevOps 18:30: Types of ML Data that one has to consider 20:50 Training automation 24:05: ML Dev Tools (vs. SW Dev Tools) 28:54: Model Monitoring (in addition to traditional monitoring) 31:30: Where does MLOps/Model Monitoring fit into a DevOps framework 32:00: MLOps Objectives = DevOps Objectives 33:00: Audience Q&A covering everything from dynamic model data deployments to MLOps recruiting (see the 1st comment for timestamps of each question) 33:25: Wisdom/non-wisdom of deploying dynamic model data vs. CI/CD intervention 36:25: How to best hire for an MLOps role 38:25: Does having an MLOps person eliminate the need for having a Data Science team 40:35: Is AWS doing anything particular in the MLOps space 43:00: Is there a real difference b/w hiring for MLOps role vs. a DevOps role and are there any certifications that truly matter in MLOps 46:10: Infrastructure set up for ML, use of GPUs etc. 48:10: DataRobots capabilities in the MLOps space 52:30: How do you apply MLOps in the context of the non-linear nature of DataScience projects

Are you sure this list of covered areas relate to this video?

Below are some areas that were covered: 11:42: What is a Reactive Web App 15:20: What is Web Assembly (WASM) and why is it important 23:20: What is Rust and why is it so attractive to develop in 27:55: How does Rust prevent issues such as race conditions from occurring? 33:06: Thoughts on choosing the appropriate programming language for a given job 40:44: Libraries, frameworks, and tools to build Single Page Apps (SPAs) using Rust 44:10: Details and demo of a Video/Image sharing SPA build using Rust & WASM 56:45: How is the package management ecosystem and general community around Rust? 59:25: Is there dependency management or vulnerability-based tooling available for Rust?

Below are some areas that were covered: 09:07 - Challenges experienced with Web 1.0 11:22 - Pros and cons of Web 2.0 21:39 - How centralised networks work 24:55 - How decentralized networks work 29:00 - How does Bitcoin work 34:12 - How does the Ethereum 1.0 work 36:50 - Gen 1 of the Evolution From Web2 to Web3 (partially decentralised applications) 41:43 - Gen 2 of the Evolution From Web2 to Web3 (fully decentralised applications) 1:02:40 - Serverless dynamic hosting 1:37:42 - When will ETH1 & ETH2 merge? Also some interesting questions were asked and discussions held on the topics below: 48:58 - Performance impacts of running fully decentralised applications 1:10:39 - Is censorship likely to happen at the identity level rather than across the system in Web3? 1:16:00 - If blockchain is deployed in the Metaverse, how can trust be ensured if individuals may be using different avatars under the same identity? 1:30:40 - Can you say that the contract and address are the only two things that matter in web 3.0?

This great!!