Lecture 12: Distributed Transactions
Lecture 12: Distributed Transactions MIT 6.824: Distributed Systems (Spring 2020) https://pdos.csail.mit.edu/6.824/
From playlist MIT 6.824 Distributed Systems (Spring 2020)
The (Full)stack Trace: Understand Your App with Distributed Tracing - Will Klein - JSConf US 2019
Original Title: Follow the (full)stack trace: understand your app with distributed tracing What if we could follow a user request, from a page load in the browser, to our backend, through our services, to the database, and back? What does it look like to see how our UI receives data and r
From playlist JSConf US 2019
Everything You Need to Know About Control Theory
Control theory is a mathematical framework that gives us the tools to develop autonomous systems. Walk through all the different aspects of control theory that you need to know. Some of the concepts that are covered include: - The difference between open-loop and closed-loop control - How
From playlist Control Systems in Practice
Fuzzy control of inverted pendulum
Fuzzy control of inverted pendulum, State-feedback controller is designed based on T-S fuzzy model with the consideration of system stability and performance.
From playlist Demonstrations
Lecture 1: Introduction MIT 6.824: Distributed Systems (Spring 2020) https://pdos.csail.mit.edu/6.824/
From playlist MIT 6.824 Distributed Systems (Spring 2020)
What Is Gain Scheduling? | Control Systems in Practice
Often, the best control system is the simplest. When the system you’re trying to control is highly nonlinear, this can lead to very complex controllers. This video continues our discussion on control systems in practice by talking about a simple form of nonlinear control: gain scheduling.
From playlist Control Systems in Practice
Lecture 18: Fork Consistency, Certificate Transparency
Lecture 18: Fork Consistency, Certificate Transparency MIT 6.824: Distributed Systems (Spring 2020) https://pdos.csail.mit.edu/6.824/
From playlist MIT 6.824 Distributed Systems (Spring 2020)
Ruby Conf 12 - The Celluloid Ecosystem by Tony Arcieri
Celluloid is a concurrent object framework for Ruby that takes the headache out of building multithreaded programs. However, it's also an ecosystem of subprojects including the Reel web server for WebSockets, Celluloid::IO for evented sockets, Celluloid::ZMQ for ZeroMQ sockets, and DCell f
From playlist Ruby Conference 2012
Elixir Conf 2014 - Erlang Rationale by Robert Virding
Help us caption & translate this video! http://amara.org/v/FGYf/
From playlist ElixirConf 2014
Martin Odersky, "Working Hard to Keep It Simple" - OSCON Java 2011
Today's world of parallel and distributed computing poses hard new challenges for software development. A rapidly increasing number of developers now have to deal with races, deadlocks, non-determinism, and we are ill-equipped to do so. How can we keep things simple, in spite of the comple
From playlist OSCON 2011
The Art of Embracing Failure at Scale - Adrian Hornsby - REdeploy 2019
Mistakes. Bad judgment. Errors. Failures. They are all part of our engineering lives. While many think of them as being undesirable aspects of engineering, failures are very important, and even- beneficial. One thing that is sure is that failures will happen and will come in many forms, so
From playlist REdeploy 2019
RailsConf 2017: Distributed Tracing: From Theory to Practice by Stella Cotton
RailsConf 2017: Distributed Tracing: From Theory to Practice by Stella Cotton Application performance monitoring is great for debugging inside a single app. However, as a system expands into multiple services, how can you understand the health of the system as a whole? Distributed tracing
From playlist RailsConf 2017
Rocky Mountain Ruby 2012 - Let's talk concurrency by Jose Valim
For a long time, the de facto way of doing multi-core concurrency was using threads. However, the complexity of manipulating threads and state affected negatively how developers perceive concurrency. Fortunately, languages like Clojure and Erlang implement new paradigms that aim to make co
From playlist Rocky Mountain Ruby 2012
Thinking While Moving: Deep Reinforcement Learning with Concurrent Control
Classic RL "stops" the world whenever the Agent computes a new action. This paper considers a more realistic scenario where the agent is thinking about the next action to take while still performing the last action. This results in a fascinating way of reformulating Q-learning in continuou
From playlist Reinforcement Learning
New Concurrency Models on the JVM: Fibres, Verticles, Agents and Actors. by Lutz Huehnken
Until recently, concurrency in Java meant: java.util.concurrent and threads. Threads were originally envisioned as "lightweight processes" - starting a new process for concurrent operations meant to much overhead, and posed the problem of inter-process communication. Threads were supposed
From playlist Software Development Lectures
RedDotRuby 2014 - Ruby + Elixir: Polyglotting FTW! by Benjamin Tan
As developers, we know that we should use the right tool for the right job. While we may love Ruby, there are also many interesting technologies that may complement our favourite programming language. This talk introduces Elixir, a programming language that is built on the legendary Erlan
From playlist RedDotRuby 2014
Learning Clojure: Next Steps - Stuart Sierra
You can conj and assoc like a pro. You eat macros for breakfast. What's next? This talk will introduce some more advanced areas of Clojure to explore. Possible topics include: - Using the reader and printer - Creating new types that implement Clojure's interfaces - Building abstractions wi
From playlist Clojure, Lisp