SD, a P2P bug tracking system

The document provides an introduction to the Java Virtual Machine (JVM) bytecode and JIT compiler. It discusses how bytecode works, including inspection, generation and the bytecode instructions. It also covers how the JIT compiler works and is monitored. Examples of viewing bytecode with javap and generating bytecode with BiteScript are provided.

#rubyconf 2018 presentation in RubyKaigi track, discussing about how to use (or abuse) Ruby's meta programming features

All Things Open 2014 - Day 2 Thursday, October 23rd, 2014 Doug Turnbull Search & Big Data Architect for OpenSource Connections Databases Stop Worrying & Love the SQL - A Case Study

This talk will introduce Apache Spark (one of the most popular big data tools), the different built ins (from SQL to ML), and, of course, everyone's favorite wordcount example. Once we've got the nice parts out of the way, we'll talk about some of the limitations and the work being undertaken to improve those limitations. We'll also look at the cases where Spark is more like trying to hammer a screw. Since we want to finish on a happy note, we will close out with looking at the new vectorized UDFs in PySpark 2.3.

This will cover what to consider for high write throughput performance from hardware configuration through to the use of replica sets, multi-data centre deployments, monitoring and sharding to ensure your database is fast and stays online.

This document discusses TorqueBox, an open source platform that allows Ruby on Rails applications to run on the Java Virtual Machine (JVM) and take advantage of Java libraries and services. It highlights features like scheduling, services, messaging, background jobs, clustering, caching and performance. The document includes code samples and discusses how TorqueBox makes these enterprise features easy to use from Ruby. It also notes some risks of using an emerging technology but says the documentation is good and help is available online.

This document provides an overview of extending Docker using plugins, specifically an image whitelist plugin. It discusses Docker's plugin architecture, provides examples of volume and network plugins, and goes through setting up and implementing an image whitelist plugin. Key points include: - Docker plugins allow extending Docker's capabilities by running external processes that communicate with the Docker daemon. - Examples of plugin types are volumes, networks, authorization. A volume plugin enables integration with external storage, a network plugin supports different networking technologies. - The document demonstrates setting up an image whitelist Docker plugin that checks images against a whitelist before allowing them to run. - Implementing the plugin involves creating a client to communicate with Docker's API, parsing a cron

Thrift and PasteScript are frameworks for building distributed applications and services. Thrift allows defining data types and interfaces using a simple definition language that can generate code in multiple languages. It uses a compact binary protocol for efficient RPC-style communication between clients and servers. PasteScript builds on WSGI and provides tools like paster for deploying and managing Python web applications, along with reloading and logging capabilities. It integrates with Thrift via server runners and application factories.

Concurrency and parallelism in Python are always hot topics. This talk will look the variety of forms of concurrency and parallelism. In particular this talk will give an overview of various forms of message-passing concurrency which have become popular in languages like Scala and Go. A Python library called python-csp which implements similar ideas in a Pythonic way will be introduced and we will look at how this style of programming can be used to avoid deadlocks, race hazards and "callback hell".

This document discusses benchmarks and performance testing of Node.js. It notes that while Node.js can handle over 1 million connections, benchmarks are not that important as other factors like productivity. It explores how to meaningfully measure Node.js performance, compares Node.js to other frameworks like Erlang and Tornado, and argues that benchmarks should reflect real-world use cases rather than simplistic "hello world" tests. The document questions overreliance on benchmarks and emphasizes picking the right tool based on the task.

The document discusses testing practices for the Ruby programming language. It provides details on how to run various test suites that are part of the Ruby source code repository, including: 1. Running the "make test" command which runs sample tests, known bug tests, and tests defined in the test/ directory. 2. Running "make test-all" which runs core library and standard library tests under the test/ directory. 3. Running "make check" which builds encodings and extensions, runs all test tasks including test frameworks like Test::Unit and Minitest. 4. It also discusses strategies for merging test changes from external repositories like RubyGems and RDoc back into the Ruby source code

The document discusses new features in version 0.9.4 of the DivConq file transfer software, including file tasks that can be triggered by uploads, scheduling, or file system events. It introduces dcScript, the scripting language that allows users to string together various file operations and tasks. Key points include that dcScript scripts can run asynchronously, optimize file operations through in-memory streaming rather than disk reads/writes, and offer features to simplify complex multi-step file tasks. The document provides examples of using dcScript to encrypt, compress, split and transfer files with just a few lines of code.

The document provides an overview of PuppetDB, which is a system for storing and querying data about infrastructure as code and system configurations. Some key points: - PuppetDB stores immutable data about systems and allows querying of this data to enable higher-level infrastructure operations. - It uses techniques like command query responsibility separation (CQRS) to separate write and read pipelines for better performance and reliability. - The data is stored in a relational database for efficient querying, and queries are expressed in an abstract syntax tree (AST)-based language. - The system is designed for speed, reliability, and ease of deployment in operations. It leverages techniques from Clojure and the JVM.

This document summarizes Gavin M. Roy's presentation on concurrency with multiprocessing in Python. It discusses using threads via the threading module, issues with the Global Interpreter Lock (GIL) in Python, and how to use the multiprocessing module to achieve true parallelism across multiple processes. It provides examples of creating threads and processes that run concurrently and examples of how to share objects between processes using connections, queues, pipes, managers and reduction tools.

The document discusses the messy and buggy state of the DOM across browsers and strategies for writing cross-browser JavaScript code. It notes that nearly every DOM method has bugs or inconsistencies in some browsers. It then covers strategies like feature detection, graceful fallback for missing features, simulating features via workarounds, monitoring for regressions, and having a robust test suite to prevent regressions in one's own code. The overall message is that the DOM is messy and one needs to "know your enemies" by thoroughly testing code in all target browsers.

This document summarizes Masahiro Nakagawa's presentation on Fluentd and Embulk. Fluentd is a data collector for unified logging that allows for streaming data transfer based on JSON. It is written in Ruby and uses plugins to collect, process, and output data. Embulk is a bulk loading tool that allows high performance parallel processing of data to load it into various databases and storage systems. Both tools use a pluggable architecture to provide flexibility in handling different data sources and targets.

Guillaume Laforge presents on creating domain-specific languages with Groovy. He discusses how DSLs can help bridge communication between developers and subject matter experts by using a more expressive shared language. He provides examples of Groovy's capabilities for building DSLs, including its flexible syntax, optional typing, native constructs, closures, and dynamic metaprogramming features. He also covers integrating DSLs into applications and considerations for designing custom DSLs.

The analytics platform at Twitter has experienced tremendous growth over the past few years in terms of size, complexity, number of users, and variety of use cases. In this talk, we’ll discuss the evolution of our infrastructure and the development of capabilities for data mining on “big data”. We’ll share our experiences as a case study, but make recommendations for best practices and point out opportunities for future work.

Любой полезный ресурс рано или поздно выходит за рамки «shared hosting» тарифов и владельцы ресурса начинают поглядывать в сторону VDS, выделенных серверов и облачных решений. Из нашего доклада Вы узнаете: - стоит искать другого хостера или уже пришло время переезжать на выделенный сервер; - о выборе площадки для аренды или размещению своего сервера; - о выборе ресурсных характеристик сервера, подборе и конфигурации ПО; - что делать дальше, когда сервер установлен. Многие моменты доклада будут украшены реальными примерами из опыта работы компании «IT Patrol inc.»

The document discusses accelerating big data processing beyond just the Java Virtual Machine (JVM). It introduces Rachel Warren and Holden Karau, the presenters. It then covers the current state of PySpark and its performance limitations due to serialization between Python and the JVM. Future improvements discussed include using Apache Arrow to accelerate UDFs, Dask for pure Python processing, and Apache Beam for additional languages. The presenters promote their new book on high performance Spark and take questions at the end.

The document discusses various web development environments and frameworks for choosing the right one. It covers popular options like ASP.NET, Java/JSP, PHP, Python and Ruby as well as databases. For each, it provides an overview and examples of sorting data to demonstrate capabilities. It emphasizes evaluating options based on requirements rather than following trends and notes the impact that open source movements and companies can have on technologies.

Rust is the new kid on the block. It's a system programming language that is blazingly fast and offers powerful high-level abstractions better known from dynamic languages like Ruby or Python. Rust offers memory safety without a Garbage Collector and makes low-level programming easier and more secure. I will give an introductory talk about Rust and show some of its nicest features.

Node.js is a JavaScript runtime built on Chrome's V8 JavaScript engine. It uses an event-driven, non-blocking I/O model that makes it lightweight and efficient for data-intensive real-time applications that run across distributed devices. The document discusses Node.js' architecture, its use of JavaScript for simplicity, and how it is inspired by other technologies like Twisted and EventMachine. It also covers related tools like NPM for package management and Grunt for automating tasks.

Short presentation about how RackN is creating bare metal data center automation for enterprise and edge infrastructure at the most basic level. Includes a video of Rob giving the presentation

Learn from the dozens of large-scale deployments how to get the most out of your Kubernetes environment: - Container images optimization - Organizing namespaces - Readiness and Liveness probes - Resource requests and limits - Failing with grace - Mapping external services - Upgrading clusters with zero downtime

This document provides an overview of LLDB, an open-source debugger developed by Apple. It discusses LLDB's architecture, how it uses Clang and is scriptable/pluggable. It also summarizes how LLDB sets breakpoints, evaluates expressions by running on the target process, and prints structured variables using Clang type representations. Testing for LLDB consists of around 20 test cases written in Python. There is opportunity for external contributors to help with areas like testing and improving the CLI.

This document discusses pre-aggregating data with counters in MongoDB to enable dashboard-style reports. It involves defining metrics and aggregations upfront, and using the $inc operator to increment values in aggregation collections during write operations. This allows generating real-time aggregated data without requiring map-reduce or the aggregation framework, providing better performance for dashboard queries.

Millions of internet packets are sent each day to connect devices and route traffic on the global network. The internet relies on protocols like BGP to exchange routing information between nodes. Hadoop and HDFS provide a scalable way to store and process large amounts of unstructured data across clusters of machines. Users can launch Hadoop clusters in AWS using tools like Whirr to run analytics jobs without managing hardware.

Slides of our talk at adaptTo 2016, Chetan Mehrotra and myself (https://adapt.to/2016/en/schedule/let_s-run-the-whole-web-on-apache-sling-and-oak-.html). The code is at https://github.com/bdelacretaz/sling-adaptto-2016 and uses Docker to build a dynamic cluster of Apache Sling instances.

OpenStack Swift is a highly-available distributed object storage system which supports highly concurrent workloads. Swift is the backbone behind Cloud Files, Rackspace's storage-as-a-service offering. In this workshop, which will be hosted by members of SwiftStack, Inc., we'll walk you through deployment and use of OpenStack Swift. We'll begin by showing you how to install Swift from the ground up. You'll learn: - what you should know about Swift's architecture - how to bootstrap a basic Swift installation After that, we'll cover how to use Swift, including information on: - creating accounts and users - adding, removing, and managing data - building applications on top of Swift Bring your laptop (with virutalization extensions enabled in the BIOS) and we will walk through setting up Swift in a virtual machine. We'll also build an entire application on top of Swift to illustrate how to use Swift as a storage service. This is a workshop you won't want to miss!

The document discusses Embulk, an open-source parallel bulk data loader that uses plugins. Embulk loads records from various sources ("A") to various targets ("B") using plugins for different source and target types. This makes the painful process of data integration more relaxed. Embulk executes in parallel, validates data, handles errors, behaves deterministically, and allows for idempotent retries of bulk loads.

Apache Arrow is a cross-language development platform for in-memory data that specifies a standardized columnar memory format. It provides libraries and messaging for moving data between languages and services without serialization. The presenter discusses their motivation for creating Go bindings for Apache Arrow via C++ to share data between Go and Python programs using the same memory format. They explain several challenges of this approach, such as different memory managers in Go and C++, and solutions like generating wrapper code and handling memory with finalizers.

The document is a presentation about Node.js, a JavaScript runtime built on Chrome's V8 JavaScript engine. It discusses how Node.js uses an event-driven, non-blocking I/O model that makes it particularly suited for real-time web applications and I/O-intensive applications compared to traditional threaded server models. It provides examples of Node.js features like asynchronous I/O, event loops, modules and the npm package manager.

Follow a nodejs application through Kubernetes, Nomad, Docker, and Pkg. Maybe learn a thing about how to think about systems along the way!

DBSlayer is a middleware that allows web applications to access databases through HTTP and JSON. It provides a simple way to query databases by sending SQL statements in a JSON-formatted HTTP request and receiving the results of the query in the HTTP response also formatted in JSON. It aims to be independent, scalable, flexible and simple. Some features include connection pooling, load balancing queries across multiple databases, and automatic failover to alternate databases. It works by acting as an intermediary between web applications and databases, handling the network communication and database access transparently through its HTTP/JSON interface.

This document summarizes integrating the OpenNMS network monitoring platform with modern configuration management tools like Puppet. It discusses using Puppet to provision and automatically configure nodes in OpenNMS from Puppet's configuration data. The authors provide code for pulling node data from Puppet's REST API and generating an XML file for OpenNMS to import the nodes and their configuration. They also discuss opportunities to further improve the integration by developing a Java object model for Puppet's YAML output and filtering imports based on node attributes.

The document discusses best practices for writing a C/C++ Python extension in 2017. It covers available options like ctypes, cffi, Cython, and SWIG. It then focuses on building a binary Python extension using ctypes, including debugging crashes by generating core files and using lldb/gdb. It also discusses memory issues and using valgrind and clang sanitizers. It recommends abusing Python unit tests for testing C code. Finally, it covers shipping the extension, including manylinux wheels, testing wheels on different Linux distributions with Docker, and publishing source and wheel distributions.

The document outlines the process for building a keyboard from scratch. It discusses selecting and obtaining the necessary tools and parts, including a microcontroller, switches, wires, and case materials. The document guides the reader through designing the keyboard layout, circuitry, and firmware. It also shares the speaker's experience building multiple prototype keyboards through an iterative design process. The goal is to demonstrate that building a custom keyboard is an achievable project that allows for creative hardware design and customization.

The document provides step-by-step instructions for building a keyboard from scratch. It lists the necessary tools like a soldering iron, parts like keyswitches and diodes, and gives guidance on laying out the keyboard, soldering the components together, and configuring firmware. The document also describes the author's experience building several prototype keyboards and shares photos of the progression from early models to more polished designs.

The document discusses the many Android app stores that exist, including major ones like the Google Play Store and Amazon App Store, as well as smaller niche stores. It describes the author's experiences submitting their apps K-9 Mail and Kaiten Mail to different stores. Key challenges included long review times, limited statistics and support, and low sales on some stores. The author argues submitting apps to multiple stores can increase revenues but requires managing different processes and policies across each store.

The document discusses a vision for improving and modernizing Perl 5. Some key points include: - Making it possible to declare and maintain different versions of Perl 5 semantics to avoid breaking existing code. - Externalizing features like SysV IPC and sockets into optional modules to reduce the core language size. - Establishing sane defaults like warnings and stricter open() behavior to clean up parts of the language. - Continuing to improve the development and release process to make contributions and changes easier. The overall goal is to make Perl 5 a smaller, simpler, and more stable language while still allowing it to evolve over time without unexpected breaks to existing code.

Perl 5 is evolving rapidly with new stable releases being produced more frequently. The vision is to allow Perl 5 to continue evolving while maintaining backwards compatibility. This may involve externalizing features into modules, allowing different versions of Perl semantics based on version declarations, and moving to saner defaults over time through longer deprecation cycles. The goal is to keep Perl 5 a useful and sustainable language.

The document discusses plans for future versions of Perl 5. Key points include: - Perl 5 releases now happen much more frequently due to streamlined processes and rotating release engineers. - Backward compatibility is a priority, but the language must continue evolving. A proposal to declare expected Perl versions would allow new features while maintaining old semantics for older code. - Major changes that break backward compatibility would only happen as a last resort, with long deprecation cycles. - Cleaning up and slimming down the Perl core language is a goal to make it more manageable and easier to learn.

Building RT 4 took a lot more work than we'd expected. In the end, we learned some useful lessons and ended up with a great product.

K-9 Mail is an open source email client for Android created by Jesse Vincent after he was dissatisfied with the default email app that came with Android. It has grown significantly since its creation and now has over 150,000 downloads and contributions from many developers. The document outlines how Jesse created K-9 Mail by making a small change to the existing Android email app source code and submitting it to the Android Market. It details how the project has evolved and how new developers can get involved by building it from source and submitting patches.

Perl 5.12 was recently released with several new features and improvements but no critical regressions reported so far. The "Pumpking" or project leader explained that development releases are now made monthly by release managers, reducing the workload on the Pumpking. Contributors now make the majority of changes to Perl, with over 70 unique authors contributing monthly.

SD is a peer-to-peer (P2P) bug tracking system that allows users to track bugs and work even when offline or without reliable network access. It was created by Jesse Vincent, the founder of Best Practical, because existing bug tracking solutions did not meet his needs as someone who spends a lot of time traveling without reliable WiFi access. SD synchronizes issues and changes across devices and other issue trackers using a distributed model rather than depending on a centralized network infrastructure.

SD is a peer-to-peer bug tracking tool that allows users to track bugs offline and sync changes across networks. It addresses common issues with other bug tracking solutions by running at the edge, not depending on network reliability, and being topology-agnostic. SD can sync with other bug trackers like RT, Trac, Google Code and GitHub. It uses principles of distributed computing to resolve conflicts as changes are pulled from other users. The tool has a command line interface and can be installed via a one-line command that handles dependencies.

This document summarizes the speaker's experience hacking their first ebook reader, the Kindle 2, to add additional functionality. It describes how they used USB networking debugging mode to access the Kindle's Linux filesystem, installed software like Calibre and Savory to allow additional ebook formats like ePub and PDF, and eventually ported Ubuntu and X.org to the device to build a custom PDF reader utilizing the Kindle's screen and inputs. The speaker outlines the device's technical specifications and limitations, and details the steps taken to modify and cross-compile software for the embedded Linux environment.

I gave a talk on Kindle hacking at Shibuya Perl Mongers in April 2009. It documents my first couple months messing around with the Kindle.

The document introduces Prophet, an open source peer-to-peer replicated database designed for offline and disconnected use. It aims to provide an alternative to cloud computing by allowing users to own and control their own data. The document discusses Prophet's architecture, capabilities for conflict resolution and synchronization, and potential applications like a bug tracking system called SD. It encourages readers to get involved by helping with improvements and developing new applications that can take advantage of Prophet's capabilities.

Template::Declare is a pure Perl templating engine that allows templates to be treated like code. Templates can be refactored, use object orientation and mixins. Tags are implemented as closures that can output content immediately or return closures. CSS::Squish is a CSS compiler that combines multiple small CSS files into one large file for easier serving, improving performance by allowing browsers to cache the combined file.

RT and RTIR are open source ticketing systems designed by Jesse Vincent and Best Practical to help system administrators, helpdesk staff, and CERT teams be more effective. RTIR is based on RT but customized for incident response with features like incident reports, investigations, and network blocks. It provides a workflow and tools to help teams track incidents from initial reports through investigation and resolution. Both systems are free to use and have an active international user and developer community providing support.

An introduction to RTIR as presented to a number of Mexican universities just before the UNAM.mx Congreso de Seguridad en Cómputo

Prophet is an open source database created by Jesse Vincent that is designed for team-scale apps and built for peer-to-peer replication and disconnected use. The database has an API similar to Amazon SimpleDB or Google App Engine and the first app being built on it is a canonical offline bug tracker that can sync over local networks.

Web 2.0 services resemble modern sharecropping where users contribute data and labor but do not own the services or have control over their data. If a service goes down or stops allowing new users, there is no recourse for the users. The author argues that users should have access to their own data through open APIs and services should be designed to work offline through peer-to-peer synchronization to avoid lock-in to specific service providers. The author is developing an open source database called Prophet that is aimed at building applications that can work offline through replication and without internet access.

Ten tools and techniques to help you: Find bugs faster バグの検出をもっと素早く Build web apps ウェブアプリの構築 Ship software ソフトのリリース Get input from users ユーザからの入力を受けつける Own the Inbox 受信箱を用意する 今日の話

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.

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.

Sustainability requires ingenuity and stewardship. Did you know Pigging Solutions pigging systems help you achieve your sustainable manufacturing goals AND provide rapid return on investment. How? Our systems recover over 99% of product in transfer piping. Recovering trapped product from transfer lines that would otherwise become flush-waste, means you can increase batch yields and eliminate flush waste. From raw materials to finished product, if you can pump it, we can pig it.

As a popular open-source library for analytics engineering, dbt is often used in combination with Airflow. Orchestrating and executing dbt models as DAGs ensures an additional layer of control over tasks, observability, and provides a reliable, scalable environment to run dbt models. This webinar will cover a step-by-step guide to Cosmos, an open source package from Astronomer that helps you easily run your dbt Core projects as Airflow DAGs and Task Groups, all with just a few lines of code. We’ll walk through: - Standard ways of running dbt (and when to utilize other methods) - How Cosmos can be used to run and visualize your dbt projects in Airflow - Common challenges and how to address them, including performance, dependency conflicts, and more - How running dbt projects in Airflow helps with cost optimization Webinar given on 9 July 2024

Everything that I found interesting last month about the irresponsible use of machine intelligence

Java Servlet programs

Are you interested in dipping your toes in the cloud native observability waters, but as an engineer you are not sure where to get started with tracing problems through your microservices and application landscapes on Kubernetes? Then this is the session for you, where we take you on your first steps in an active open-source project that offers a buffet of languages, challenges, and opportunities for getting started with telemetry data. The project is called openTelemetry, but before diving into the specifics, we’ll start with de-mystifying key concepts and terms such as observability, telemetry, instrumentation, cardinality, percentile to lay a foundation. After understanding the nuts and bolts of observability and distributed traces, we’ll explore the openTelemetry community; its Special Interest Groups (SIGs), repositories, and how to become not only an end-user, but possibly a contributor.We will wrap up with an overview of the components in this project, such as the Collector, the OpenTelemetry protocol (OTLP), its APIs, and its SDKs. Attendees will leave with an understanding of key observability concepts, become grounded in distributed tracing terminology, be aware of the components of openTelemetry, and know how to take their first steps to an open-source contribution! Key Takeaways: Open source, vendor neutral instrumentation is an exciting new reality as the industry standardizes on openTelemetry for observability. OpenTelemetry is on a mission to enable effective observability by making high-quality, portable telemetry ubiquitous. The world of observability and monitoring today has a steep learning curve and in order to achieve ubiquity, the project would benefit from growing our contributor community.

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.

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.

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.

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

MuleSoft Meetup on APM and IDP

This is a slide deck that showcases the updates in Microsoft Copilot for May 2024

If you’ve ever had to analyze a map or GPS data, chances are you’ve encountered and even worked with coordinate systems. As historical data continually updates through GPS, understanding coordinate systems is increasingly crucial. However, not everyone knows why they exist or how to effectively use them for data-driven insights. During this webinar, you’ll learn exactly what coordinate systems are and how you can use FME to maintain and transform your data’s coordinate systems in an easy-to-digest way, accurately representing the geographical space that it exists within. During this webinar, you will have the chance to: - Enhance Your Understanding: Gain a clear overview of what coordinate systems are and their value - Learn Practical Applications: Why we need datams and projections, plus units between coordinate systems - Maximize with FME: Understand how FME handles coordinate systems, including a brief summary of the 3 main reprojectors - Custom Coordinate Systems: Learn how to work with FME and coordinate systems beyond what is natively supported - Look Ahead: Gain insights into where FME is headed with coordinate systems in the future Don’t miss the opportunity to improve the value you receive from your coordinate system data, ultimately allowing you to streamline your data analysis and maximize your time. See you there!

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.

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.

Not so much to say

The DealBook is our annual overview of the Ukrainian tech investment industry. This edition comprehensively covers the full year 2023 and the first deals of 2024.

Manual Method of Product Research | Helium10 | MBS RETRIEVER

Jindong Gu, Zhen Han, Shuo Chen, Ahmad Beirami, Bailan He, Gengyuan Zhang, Ruotong Liao, Yao Qin, Volker Tresp, Philip Torr "A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models" arXiv2023 https://arxiv.org/abs/2307.12980