Tornado is a Python web framework that focuses on speed and handling large amounts of simultaneous traffic. It allows starting multiple sub-domains on different ports with auto-reloading capabilities. Tornado handles requests by routing them to different handlers that can render templates and return responses. It also supports asynchronous delayed responses using asynchronous HTTP clients.
The document discusses ways to make Django web applications faster. It recommends using MongoDB as the database for its schema-free and high scalability features. It also recommends using the templating engine Jinja2 for its high rendering speed. Finally, it recommends implementing Facebook's BigPipe technique which breaks pages into chunks (pagelets) to start rendering and executing JavaScript earlier, improving perceived page load times. These techniques together can help make Django applications even faster.
Droidcon Berlin 2021 - With coroutines being the de facto way of exposing async work and streams of changes for Kotlin on Android, developers are obviously attempting to use the same approaches when moving their code to Multiplatform.
But due to the way the memory model differs between JVM and Kotlin Native, it can be a painful experience.
In this talk, we will take a deep dive into the Coroutine API for Kotlin Multiplatform. You will learn how to expose your API with Coroutines while working with the Kotlin Native memory model instead of against it, and avoid the dragons along the way.
This document discusses potential updates to the Web Server Gateway Interface (WSGI) specification and some of the challenges involved. It notes that WSGI 1.0 has limitations for asynchronous systems and middleware. The author explored ideas for WSGI 2.0 like making requests and responses objects and adding context managers for resource management, but concluded it may be too late since so much code relies on the current specification.
The document discusses Node.js and asynchronous I/O. It explains that Node.js is an asynchronous event-driven JavaScript runtime that uses a single-threaded model with non-blocking I/O to handle high volumes of simultaneous connections efficiently. It also discusses how Node.js handles asynchronous operations using an event loop and callback functions instead of blocking operations.
- PSGI (Perl Web Server Gateway Interface) and Plack provide a common interface and utilities for building web applications and servers in Perl.
- PSGI defines a standard interface that web frameworks can implement to work with different server implementations. Plack provides server implementations like standalone, FastCGI and Apache modules.
- This allows frameworks to focus on the application code instead of server specifics, and servers to handle multiple frameworks. Common middleware and testing utilities are also included.
- Examples of frameworks that have adopted PSGI include Catalyst, Maypole and Mojolicious. Popular servers built on Plack include Starman and Dancer.
This document introduces the Flask micro web framework. It discusses that Flask provides URL routing, request and response objects, template engines and other features for web development. Flask is simple and extensible, using Werkzeug and Jinja2. It does not include an ORM or form validation, but supports extensions. The document provides examples of basic routing, using request objects, templates and the development server. It also discusses using SQLAlchemy, WTForms and common patterns like MVC with Flask projects.
PyCon AU 2010 - Getting Started With Apache/mod_wsgi.Graham Dumpleton
Mod_wsgi is an Apache module that allows hosting WSGI applications. It intercepts requests and passes them to the designated WSGI script file. The Apache user needs access permissions to the script file and directories to allow the application to run. Python path needs to be configured to import modules and packages. Static media files also need to be manually mapped to URLs for the Django development server.
Node.js is a platform built on Google's V8 JavaScript engine that allows for non-blocking and event-driven web servers. It is well-suited for building real-time applications using techniques like Comet that require persistent connections to clients. The speaker demonstrates how to implement a basic chat application using WebSockets with node.js that maintains open connections to allow real-time messaging between users. Node.js's asynchronous and non-blocking model makes it a natural fit for Comet-style programming compared to traditional threaded server models.
This talk was given at the Dutch PHP Conference 2011 and details the use of Comet (aka reverse ajax or ajax push) technologies and the importance of websockets and server-sent events. More information is available at http://joind.in/3237.
Vert.x clustering on Docker, CoreOS and ETCDTim Nolet
This talk was held at the Vert.x Meetup Amsterdam on 30-07-2014. The subject is on how to get a Vert.X cluster running in Docker containers running on CoreOS without any manual configuration.
Node.js in Production
- Felix Geisendörfer discusses his experience running Node.js in production environments over time with Transloadit, moving from early failures to a stable architecture running over 2TB of data without bugs. He covers lessons learned around hosting, deployment, monitoring, debugging, testing and load balancing Node.js applications at scale.
Node.js is a server-side JavaScript environment that uses an asynchronous event-driven model for excellent performance handling many internet connections simultaneously. It is implemented on Google's V8 JavaScript engine and uses non-blocking I/O to avoid wasting CPU resources waiting for operations to complete. Example code demonstrates how Node.js can create an HTTP server or handle other network protocols without threads blocking like in traditional servers.
OneRing is a desktop application platform that allows building desktop applications using web technologies like HTML, CSS, and JavaScript. It uses QtWebKit to render web content and exposes a C API and Python bindings to register and run web-based applications as native desktop apps. OneRing-based apps can access native GUI widgets and OS services and are distributed and updated like regular desktop programs.
Node.js is a JavaScript runtime built on Chrome's V8 engine that allows building scalable network applications using JavaScript on the server-side. It uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, suitable for data-intensive real-time applications that run across distributed devices. Common uses of Node.js include building web servers, file upload clients, ad servers, chat servers, and any real-time data applications. The document provides an introduction to Node.js concepts like callbacks, blocking vs non-blocking code, the event loop, streams, events, and modules.
Remedie: Building a desktop app with HTTP::Engine, SQLite and jQueryTatsuhiko Miyagawa
Building a desktop app using HTTP::Engine as a micro web server, SQLite for data storage, and jQuery for the user interface. Comet and asynchronous workers are used to enable real-time features. JSON-RPC and routing are implemented to support AJAX actions. The combination provides a lightweight "desktop app" architecture that is cross-platform.
This document discusses server-side event-driven programming using Node.js. It covers how Node.js uses an event loop and asynchronous non-blocking I/O to handle many connections concurrently with high performance. Common Node.js concepts are explained like first-class functions, callbacks, and event emitters. Node.js is compared to traditional threaded programming and shown to have advantages in scalability and efficiency. Example Node.js applications and APIs are provided.
Everything you wanted to know about writing async, concurrent http apps in java Baruch Sadogursky
As presented at CodeMotion Tel Aviv:
Facing tens of millions of clients continuously downloading binaries from its repositories, JFrog decided to offer an OSS client that natively supports these downloads. This session shares the main challenges of developing a highly concurrent, resumable, async download library on top of an Apache HTTP client. It also covers other libraries JFrog tested and why it decided to reinvent the wheel. Consider yourself forewarned: lots of HTTP internals, NIO, and concurrency ahead!
Presentation: Everything you wanted to know about writing async, high-concurr...Baruch Sadogursky
Facing tens of millions of clients continuously downloading binaries from our repositories, we decided to offer an OSS client that natively supports these downloads. In this talk we will share the main challenges in developing a highly-concurrent, resumable, async download library on top of Apache HTTP client. We will cover other libraries we tested and why we decided to reinvent the wheel. We will see important pitfalls we came across when working with HTTP and how using the right combination of techniques can improve performance by a magnitude. We will also see why your initial assumptions may completely change when faced with other players on the network. Consider yourself forewarned: lots of HTTP internals, NIO and concurrency ahead!
As presented at JFokus 2015 (http://www.jfokus.se/jfokus/talks.jsp#Everythingyouwantedt)
Tornado is a Python web framework and asynchronous networking library. It uses non-blocking network I/O, can handle thousands of open connections, and is well-suited for real-time web services. Tornado uses the MVC pattern and supports integration with databases via ORM tools like Django ORM. It also supports features like auto-generated admin interfaces and uses technologies like Bootstrap for front-end interfaces.
This document summarizes and compares several popular Python web frameworks - Django, Flask, Tornado, and aiohttp.
Django is the most popular full-stack framework that provides an ORM, template engine, tests, and other features out of the box. Flask is a microframework that requires extensions for features like SQLAlchemy for ORM and Jinja2 for templating. Tornado is both an asynchronous network library and web framework that has been supporting asynchronous features since Python 2. Aiohttp is an HTTP client/server library for asyncio that can be used to build asynchronous web applications and servers in Python 3. The document discusses when each framework would be suitable depending on requirements like asynchronous features or database usage.
This document provides an introduction to concurrency in Python using threads. It discusses how threads allow programs to perform multiple tasks simultaneously by sharing system resources like memory. The document covers basic threading concepts like creating and launching threads, as well as challenges like accessing shared data between threads, which can be non-deterministic due to thread scheduling. It aims to provide an overview of concurrency support in the Python standard library beyond just the user manual.
Countering Cyber Threats By Monitoring “Normal” Website BehaviorEMC
Have you considered using big data to protect against cyber threats? Savvy CSOs are doing just that-leveraging hoards of web traffic data to model normal online behavior and then use that insight to counter attempts at business-logic abuse. Check out this informative technology dossier to explore the ins and outs of using big data analysis and web-user profiling to protect your company against cyber threats.
This document contains a series of questions about geography and maps. It asks the reader to identify locations of cities and countries, name continents and oceans, describe physical borders and features of various places, and identify capitals and populations. The purpose is to test the reader's knowledge and understanding of world geography, locations, political boundaries, and physical landscapes using an atlas.
This document summarizes a TED talk by Peter Van Uhm, a ranking officer in the Netherlands military. In his talk, Van Uhm states that there are many tools that can be used to end violence and promote peace, and that his chosen tool is the gun. However, the document also notes some criticisms of this view, namely that the world is not currently at a state of peace, guns may cause more violence and intimidation, and relying on weapons is a risky approach. The document provides links to additional sources that argue guns can promote peace in some circumstances.
Here is a potential assignment for students:
1. For each of the following scenarios, identify which component of GDP (C, I, G, or X) would be directly impacted:
a) A new tax credit is introduced to encourage business investment.
b) Household spending on consumer goods rises 5% due to rising wages.
c) The government increases funding for public schools and infrastructure.
d) Exports of American-made cars to China increase.
e) A new social program is launched to provide healthcare to more citizens.
f) The price of oil rises, increasing costs for businesses.
g) The Federal Reserve cuts interest rates to stimulate the economy.
h) Americans travel abroad
It’s a Jungle Out There - Improving Communications with Your VolunteersLaurel Gerdine
How to make your volunteer communications rock through basic communications best practices including thinking about your target audience, planning your outreach and making your content stand out from the crowd. Some basic e-mail best practices and a bit about non-profits and social media
This study tested a text message intervention to encourage people to drink more water. Participants received daily text reminders to drink a glass of water after brushing their teeth. Most participants reported drinking more water after one week. While the intervention was successful for many, some had difficulty drinking water directly after brushing teeth due to stomach issues. Overall, the study found the text message prompts increased water intake, but future interventions may need to consider timing and individual preferences.
This document describes how a mixed-mode approach to social media research was used to gain insights about the Chick-fil-A brand in just one day. Unprompted social media comments were analyzed to identify themes about the brand's customer service and associations with Christianity. A fast survey confirmed and quantified these themes. Additional data was analyzed to understand perceptions of pricing and areas for improvement. The summary provided recommendations to address wait times, pricing concerns, and expanding menu options while continuing initiatives that drive satisfaction like friendly service.
The document provides an overview of asynchronous programming in Python. It discusses how asynchronous programming can improve performance over traditional synchronous and threaded models by keeping resources utilized continuously. It introduces key concepts like callbacks, coroutines, tasks and the event loop. It also covers popular asynchronous frameworks and modules in Python like Twisted, Tornado, gevent and asyncio. Examples are provided to demonstrate asynchronous HTTP requests and concurrent factorial tasks using the asyncio module. Overall, the document serves as an introduction to asynchronous programming in Python.
Gevent is a Python library that uses greenlets to provide a synchronous-looking API for asynchronous applications. It uses a single OS thread and event loop to handle many connections concurrently by switching between greenlets frequently. This allows applications to achieve high concurrency with low memory usage compared to multithreading. Gevent patches common libraries like sockets to be non-blocking and cooperative. When data is available on a socket, the socket's greenlet is resumed to process it rather than blocking the entire program.
The document discusses building highly scalable web APIs. It proposes moving to an asynchronous architecture using event-driven frameworks like gevent. This allows decoupling requests from backend resources to avoid failures under load. The architecture incorporates authentication, throttling to delay requests if needed, and selectively dropping requests to prevent failures. The goal is graceful degradation, with the ability to service most requests during spikes rather than having the entire API become unavailable.
Python Twisted is an event-driven networking framework. It uses non-blocking functions and callbacks to handle events like data on sockets. Code execution is triggered from an event loop when events occur. This allows for highly scalable servers without threads. Twisted supports many protocols and includes features like deferreds for asynchronous programming and a plugin architecture. However, it is single-threaded and requires external tools to utilize multiple CPUs.
This document introduces Tornado Web and AsyncMongo for asynchronous access to MongoDB from Tornado applications. It discusses evented I/O web servers and the C10k problem. It provides an overview of Tornado Web and demonstrates basic usage. It introduces AsyncMongo for asynchronous MongoDB access from Tornado. It demonstrates how to fetch, insert, update and delete data from MongoDB using AsyncMongo with examples.
This document discusses various techniques for optimizing website performance, including:
1. Network optimizations like compression, HTTP caching, and keeping connections alive.
2. Structuring content efficiently and using tools like YSlow to measure performance.
3. Application caching of pages, database queries, and other frequently accessed content.
4. Database tuning through indexing, query optimization, and offloading text searches.
5. Monitoring resource usage and business metrics to ensure performance meets targets.
Ansible is an open source automation platform, written in Python, that can be used for configuration-management, application deployment, cloud provisioning, ad-hoc task-execution, multinode orchestration and so on. This talk is an introduction to Ansible for beginners, including tips like how to use containers to mimic multiple machines while iteratively automating some tasks or testing.
An opinionated intro to Node.js - devrupt hospitality hackathonLuciano Mammino
A talk presenting an opinionated introduction to Node.js, proving a simple introduction to the async model, some common async patterns and some other interesting Node.js tricks.
One of challenges we face at DoorDash everyday is to keep our API latency low. While the problem sounds simple on the surface, it gets interesting some times. One of our endpoints that serves restaurant menus to our consumers had high p99 latency numbers. Since it’s a high traffic endpoint we naturally use cache pretty intensively. We cache our serialized menus in Redis to avoid repeated calls to DB, and spread out the read traffic load. By the end of this post we will present you how we used compression to not only improve our latency, but also got ourselves more space to cache.
This document discusses how to scale Django applications. It covers concurrency models like multi-process, threads, and event-driven approaches. It then focuses on using gevent, an asynchronous networking library, to add concurrency to Django. Gevent uses greenlets (lightweight coroutines) and event loops and allows blocking code to run concurrently. It also discusses deploying Django applications with Gunicorn and gevent to improve scalability over alternatives like Twisted.
This document discusses asynchronous I/O in NodeJS. It begins by covering traditional control flow models like single-threaded and multi-threaded processes. It then introduces emerging models like coroutines, fibers, and event-driven non-blocking I/O. The rest of the document focuses on how NodeJS implements an asynchronous event-driven model using libev, libeio, and callbacks. It notes some issues with callbacks and introduces flow control libraries like Steps that help address these issues.
This document provides an introduction to Node.js, a framework for building scalable server-side applications with asynchronous JavaScript. It discusses what Node.js is, how it uses non-blocking I/O and events to avoid wasting CPU cycles, and how external Node modules help create a full JavaScript stack. Examples are given of using Node modules like Express for building RESTful APIs and Socket.IO for implementing real-time features like chat. Best practices, limitations, debugging techniques and references are also covered.
Non-blocking I/O, Event loops and node.jsMarcus Frödin
This 15 minute presentation discusses non-blocking I/O, event loops, and Node.js. It builds on previous work by Ryan Dahl, explaining how threads can be expensive due to context switching and memory usage, and how Node.js uses an event-driven, non-blocking model to avoid these costs. Code examples demonstrate getting and printing a policy object, handling HTTP requests asynchronously without blocking additional connections, and using callbacks to chain asynchronous actions together.
This document provides an overview and introduction to Muduo, a C++ network programming library for Linux. Some key points:
- Muduo is a non-blocking, event-driven, multi-core ready C++ network library that aims to provide high performance and modern features.
- The document discusses challenges with network programming using sockets APIs directly and how a library like Muduo can help abstract away complexity.
- It covers core concepts in non-blocking and event-driven network programming used by Muduo like the event loop, callbacks, and lifetime management of connection objects.
- Examples are provided of how Muduo implements patterns like chat servers and comparisons are made to other libraries
Richard Lee is an iOS, Ruby, and JavaScript developer and co-founder of Polydice, Inc. He gave an introduction to Node.js, an event-driven I/O framework for building scalable network applications. Node.js uses an event loop model and non-blocking I/O, making it fast and efficient for handling many concurrent connections. Common uses include building HTTP servers and implementing long polling or comet techniques. The community around Node.js is large and supportive, with many online resources and books available.
These slides show how to reduce latency on websites and reduce bandwidth for improved user experience.
Covering network, compression, caching, etags, application optimisation, sphinxsearch, memcache, db optimisation
Xebia Knowledge Exchange (feb 2011) - Large Scale Web DevelopmentMichaël Figuière
This document discusses best practices for large scale web development using Java. It covers typical web architectures with load balancers and backend servers. It discusses handling slow, failed, or overloaded backend requests using techniques like timeouts, circuit breakers, and parallel requests. It also discusses optimizing performance through caching, using Memcached, monitoring with JMX, and logging for troubleshooting. The document provides examples of using Java concurrency utilities like ExecutorService, Future, and CountDownLatch to implement parallel and asynchronous operations.
Finagle is an asynchronous RPC framework from Twitter that provides client/server abstractions over various protocols like HTTP and Thrift. It uses Futures to handle asynchronous operations and provides methods like map, flatmap, and handle to transform Futures. The Java Service Framework builds on Finagle to add features like metrics, logging, and rate limiting for Java services. It allows configuring options like enabling specific logs and metrics through a Proxy builder.
The goodies of zope, pyramid, and plone (2)Dylan Jay
This document discusses various technologies developed from or related to Zope, including:
1. Pyramid, Plone, buildout, and other tools originated from Zope (Goodies 1-7)
2. Pyramid is a flexible Python web framework inspired by Zope technologies like traversal and adapters.
3. Plone is an open source CMS built on Zope technologies that allows complex customization through plugins and themes.
It also briefly mentions Diazo for template-based theming and RobotFramework, an open source test automation tool originally created for testing Plone sites.
This document discusses evented programming in Node.js and Ruby. It explains that evented programming uses callbacks and asynchronous non-blocking I/O. Node.js uses this approach to improve concurrency over blocking I/O models. Ruby can also implement evented programming using libraries like EventMachine that provide asynchronous abstractions while keeping app code procedural. The document provides examples of building evented applications in both languages.
Similar to Python, async web frameworks, and MongoDB (20)
A. Jesse Jiryu Davis and Samantha Ritter are driver developers at MongoDB. At Open Source Bridge 2015, we describe how driver specs are tested, and how we write tests in the data-description language YAML to prove that all drivers conform to specs.
More info about this talk:
http://emptysqua.re/blog/more-info-about-cat-herds-crook/
MongoDB Drivers And High Availability: Deep Diveemptysquare
This document discusses best practices for building high availability into MongoDB applications using PyMongo drivers. It covers:
- Using monitor threads to track server status and update the topology description as servers go up and down
- Handling connection failures by retrying operations or logging errors
- Only retrying idempotent operations to avoid duplicate entries
- Adjusting connection and server selection timeouts to balance responsiveness and resilience
What Is Async, How Does It Work, And When Should I Use It?emptysquare
Python’s asynchronous frameworks, like asyncio, Tornado, and Twisted, are increasingly important for writing high-performance web applications. Even if you’re an experienced web programmer, you may lack a rigorous understanding of how these frameworks work and when to use them. Let’s see how asyncio's event loop works, and learn how to efficiently handle very large numbers of concurrent connections.
Python Performance Profiling: The Guts And The Gloryemptysquare
This document discusses Python profiling to optimize code performance. It introduces the Yappi profiler, which can measure CPU time and threads. Running the Python code through Yappi and viewing the results in KCacheGrind reveals that datetime object creation takes a significant amount of time. Replacing it with datetime.now() improves performance by 50%. Profiling helps generate hypotheses about where optimizations could yield improvements.
Python Performance: Single-threaded, multi-threaded, and Geventemptysquare
This document discusses Python performance and summarizes strategies for improving it. It covers how Python's dynamic typing and everything being an object can impact performance. It also discusses approaches for multi-threading Python code using the Global Interpreter Lock (GIL) and how libraries like gevent use greenlets to improve concurrency. Profiling tools like yappi and KCacheGrind are presented as ways to analyze performance bottlenecks.
PyCon lightning talk on my Toro module for Tornadoemptysquare
With Tornado’s gen module, you can turn Python generators into full-featured coroutines, but coordination among these coroutines is difficult without mutexes, semaphores, and queues.
Toro provides to Tornado coroutines a set of locking primitives and queues analogous to those that Gevent provides to Greenlets, or that the standard library provides to threads.
Implementations of Fused Deposition Modeling in real worldEmerging Tech
The presentation showcases the diverse real-world applications of Fused Deposition Modeling (FDM) across multiple industries:
1. **Manufacturing**: FDM is utilized in manufacturing for rapid prototyping, creating custom tools and fixtures, and producing functional end-use parts. Companies leverage its cost-effectiveness and flexibility to streamline production processes.
2. **Medical**: In the medical field, FDM is used to create patient-specific anatomical models, surgical guides, and prosthetics. Its ability to produce precise and biocompatible parts supports advancements in personalized healthcare solutions.
3. **Education**: FDM plays a crucial role in education by enabling students to learn about design and engineering through hands-on 3D printing projects. It promotes innovation and practical skill development in STEM disciplines.
4. **Science**: Researchers use FDM to prototype equipment for scientific experiments, build custom laboratory tools, and create models for visualization and testing purposes. It facilitates rapid iteration and customization in scientific endeavors.
5. **Automotive**: Automotive manufacturers employ FDM for prototyping vehicle components, tooling for assembly lines, and customized parts. It speeds up the design validation process and enhances efficiency in automotive engineering.
6. **Consumer Electronics**: FDM is utilized in consumer electronics for designing and prototyping product enclosures, casings, and internal components. It enables rapid iteration and customization to meet evolving consumer demands.
7. **Robotics**: Robotics engineers leverage FDM to prototype robot parts, create lightweight and durable components, and customize robot designs for specific applications. It supports innovation and optimization in robotic systems.
8. **Aerospace**: In aerospace, FDM is used to manufacture lightweight parts, complex geometries, and prototypes of aircraft components. It contributes to cost reduction, faster production cycles, and weight savings in aerospace engineering.
9. **Architecture**: Architects utilize FDM for creating detailed architectural models, prototypes of building components, and intricate designs. It aids in visualizing concepts, testing structural integrity, and communicating design ideas effectively.
Each industry example demonstrates how FDM enhances innovation, accelerates product development, and addresses specific challenges through advanced manufacturing capabilities.
Paradigm Shifts in User Modeling: A Journey from Historical Foundations to Em...Erasmo Purificato
Slide of the tutorial entitled "Paradigm Shifts in User Modeling: A Journey from Historical Foundations to Emerging Trends" held at UMAP'24: 32nd ACM Conference on User Modeling, Adaptation and Personalization (July 1, 2024 | Cagliari, Italy)
Understanding Insider Security Threats: Types, Examples, Effects, and Mitigat...Bert Blevins
Today’s digitally connected world presents a wide range of security challenges for enterprises. Insider security threats are particularly noteworthy because they have the potential to cause significant harm. Unlike external threats, insider risks originate from within the company, making them more subtle and challenging to identify. This blog aims to provide a comprehensive understanding of insider security threats, including their types, examples, effects, and mitigation techniques.
Quantum Communications Q&A with Gemini LLM. These are based on Shannon's Noisy channel Theorem and offers how the classical theory applies to the quantum world.
Transcript: Details of description part II: Describing images in practice - T...BookNet Canada
This presentation explores the practical application of image description techniques. Familiar guidelines will be demonstrated in practice, and descriptions will be developed “live”! If you have learned a lot about the theory of image description techniques but want to feel more confident putting them into practice, this is the presentation for you. There will be useful, actionable information for everyone, whether you are working with authors, colleagues, alone, or leveraging AI as a collaborator.
Link to presentation recording and slides: https://bnctechforum.ca/sessions/details-of-description-part-ii-describing-images-in-practice/
Presented by BookNet Canada on June 25, 2024, with support from the Department of Canadian Heritage.
7 Most Powerful Solar Storms in the History of Earth.pdfEnterprise Wired
Solar Storms (Geo Magnetic Storms) are the motion of accelerated charged particles in the solar environment with high velocities due to the coronal mass ejection (CME).
Advanced Techniques for Cyber Security Analysis and Anomaly DetectionBert Blevins
Cybersecurity is a major concern in today's connected digital world. Threats to organizations are constantly evolving and have the potential to compromise sensitive information, disrupt operations, and lead to significant financial losses. Traditional cybersecurity techniques often fall short against modern attackers. Therefore, advanced techniques for cyber security analysis and anomaly detection are essential for protecting digital assets. This blog explores these cutting-edge methods, providing a comprehensive overview of their application and importance.
How RPA Help in the Transportation and Logistics Industry.pptxSynapseIndia
Revolutionize your transportation processes with our cutting-edge RPA software. Automate repetitive tasks, reduce costs, and enhance efficiency in the logistics sector with our advanced solutions.
Measuring the Impact of Network Latency at TwitterScyllaDB
Widya Salim and Victor Ma will outline the causal impact analysis, framework, and key learnings used to quantify the impact of reducing Twitter's network latency.
The Rise of Supernetwork Data Intensive ComputingLarry Smarr
Invited Remote Lecture to SC21
The International Conference for High Performance Computing, Networking, Storage, and Analysis
St. Louis, Missouri
November 18, 2021
Kief Morris rethinks the infrastructure code delivery lifecycle, advocating for a shift towards composable infrastructure systems. We should shift to designing around deployable components rather than code modules, use more useful levels of abstraction, and drive design and deployment from applications rather than bottom-up, monolithic architecture and delivery.
Quality Patents: Patents That Stand the Test of TimeAurora Consulting
Is your patent a vanity piece of paper for your office wall? Or is it a reliable, defendable, assertable, property right? The difference is often quality.
Is your patent simply a transactional cost and a large pile of legal bills for your startup? Or is it a leverageable asset worthy of attracting precious investment dollars, worth its cost in multiples of valuation? The difference is often quality.
Is your patent application only good enough to get through the examination process? Or has it been crafted to stand the tests of time and varied audiences if you later need to assert that document against an infringer, find yourself litigating with it in an Article 3 Court at the hands of a judge and jury, God forbid, end up having to defend its validity at the PTAB, or even needing to use it to block pirated imports at the International Trade Commission? The difference is often quality.
Quality will be our focus for a good chunk of the remainder of this season. What goes into a quality patent, and where possible, how do you get it without breaking the bank?
** Episode Overview **
In this first episode of our quality series, Kristen Hansen and the panel discuss:
⦿ What do we mean when we say patent quality?
⦿ Why is patent quality important?
⦿ How to balance quality and budget
⦿ The importance of searching, continuations, and draftsperson domain expertise
⦿ Very practical tips, tricks, examples, and Kristen’s Musts for drafting quality applications
https://www.aurorapatents.com/patently-strategic-podcast.html
Fluttercon 2024: Showing that you care about security - OpenSSF Scorecards fo...Chris Swan
Have you noticed the OpenSSF Scorecard badges on the official Dart and Flutter repos? It's Google's way of showing that they care about security. Practices such as pinning dependencies, branch protection, required reviews, continuous integration tests etc. are measured to provide a score and accompanying badge.
You can do the same for your projects, and this presentation will show you how, with an emphasis on the unique challenges that come up when working with Dart and Flutter.
The session will provide a walkthrough of the steps involved in securing a first repository, and then what it takes to repeat that process across an organization with multiple repos. It will also look at the ongoing maintenance involved once scorecards have been implemented, and how aspects of that maintenance can be better automated to minimize toil.
Best Programming Language for Civil EngineersAwais Yaseen
The integration of programming into civil engineering is transforming the industry. We can design complex infrastructure projects and analyse large datasets. Imagine revolutionizing the way we build our cities and infrastructure, all by the power of coding. Programming skills are no longer just a bonus—they’re a game changer in this era.
Technology is revolutionizing civil engineering by integrating advanced tools and techniques. Programming allows for the automation of repetitive tasks, enhancing the accuracy of designs, simulations, and analyses. With the advent of artificial intelligence and machine learning, engineers can now predict structural behaviors under various conditions, optimize material usage, and improve project planning.
2. Agenda
• Talk about web services in a really dumb
(“abstract”?) way
• Explain when we need async web servers
• Why is async hard?
• What is Tornado and how does it work?
• Why am I writing a new PyMongo wrapper to
work with Tornado?
• How does my wrapper work?
3. CPU-bound web service
Client Server
socket
• No need for async
• Just spawn one process per core
4. Normal web service
Backend
Client Server (DB, web service,
socket socket SAN, …)
• Assume backend is unbounded
• Service is bound by:
• Context-switching overhead
• Memory!
5. What’s async for?
• Minimize resources per connection
• I.e., wait for backend as cheaply as possible
7. HTTP long-polling (“COMET”)
• E.g., chat server
• Async’s killer app
• Short-polling is CPU-bound: tradeoff between
latency and load
• Long-polling is memory bound
• “C10K problem”: kegel.com/c10k.html
• Tornado was invented for this
8. Why is async hard to code?
Client Server Backend
request
request
time
store state
response
response
9. Ways to store state
this slide is in beta
Multithreading
Memory per connection
Greenlets / Gevent
Tornado, Node.js
Coding difficulty
10. What’s a greenlet?
• A.K.A. “green threads”
• A feature of Stackless Python, packaged as a
module for standard Python
• Greenlet stacks are stored on heap, copied to
/ from OS stack on resume / pause
• Cooperative
• Memory-efficient
11. Threads:
State stored on OS stacks
# pseudo-Python
sock = listen()
request = parse_http(sock.recv())
mongo_data = db.collection.find()
response = format_response(mongo_data)
sock.sendall(response)
15. Tornado IOLoop
class IOLoop(object):
def add_handler(self, fd, handler, events):
self._handlers[fd] = handler
# _impl is epoll or kqueue or ...
self._impl.register(fd, events)
def start(self):
while True:
event_pairs = self._impl.poll()
for fd, events in event_pairs:
self._handlers[fd](fd, events)
16. Python, MongoDB, & concurrency
• Threads work great with pymongo
• Gevent works great with pymongo
– monkey.patch_socket(); monkey.patch_thread()
• Tornado works so-so
– asyncmongo
• No replica sets, only first batch, no SON manipulators, no
document classes, …
– pymongo
• OK if all your queries are fast
• Use extra Tornado processes
17. Introducing: “Motor”
• Mongo + Tornado
• Experimental
• Might be official in a few months
• Uses Tornado IOLoop and IOStream
• Presents standard Tornado callback API
• Stores state internally with greenlets
• github.com/ajdavis/mongo-python-driver/tree/tornado_async
18. Motor
class MainHandler(tornado.web.RequestHandler):
def __init__(self):
self.c = MotorConnection()
@tornado.web.asynchronous
def post(self):
# No-op if already open
self.c.open(callback=self.connected)
def connected(self, c, error):
self.c.collection.insert(
{‘x’:1},
callback=self.inserted)
def inserted(self, result, error):
self.write(’OK’)
self.finish()
20. Motor internals: wrapper
class MotorCollection(object):
def insert(self, *args, **kwargs):
callback = kwargs['callback']
1
del kwargs['callback']
kwargs['safe'] = True
def call_insert():
# Runs on child greenlet
result, error = None, None
try:
sync_insert = self.sync_collection.insert
3
result = sync_insert(*args, **kwargs)
except Exception, e:
error = e
# Schedule the callback to be run on the main greenlet
tornado.ioloop.IOLoop.instance().add_callback(
lambda: callback(result, error)
8
)
# Start child greenlet
2
greenlet.greenlet(call_insert).switch()
6
return
21. Motor internals: fake socket
class MotorSocket(object):
def __init__(self, socket):
# Makes socket non-blocking
self.stream = tornado.iostream.IOStream(socket)
def sendall(self, data):
child_gr = greenlet.getcurrent()
# This is run by IOLoop on the main greenlet
# when data has been sent;
# switch back to child to continue processing
def sendall_callback():
child_gr.switch() 7
self.stream.write(data, callback=sendall_callback)
4
# Resume main greenlet
child_gr.parent.switch()
5
22. Motor
• Shows a general method for asynchronizing
synchronous network APIs in Python
• Who wants to try it with MySQL? Thrift?
• (Bonus round: resynchronizing Motor for
testing)
23. Questions?
A. Jesse Jiryu Davis
jesse@10gen.com
emptysquare.net
(10gen is hiring, of course:
10gen.com/careers)