This document introduces Ruby as a programming language and testing tool. It provides an overview of Ruby basics like arrays, hashes, blocks, and classes. It also discusses how to install Ruby, the Ruby culture which emphasizes readability and flexibility, and testing tools like Cucumber and Capybara that enable behavior-driven development in Ruby. Examples are given of how to write Cucumber features and steps to test a pets application.
Java 7 was released in July 2011 with improvements to performance, concurrency, and memory management. Plans for Java 8 include modularity, lambda expressions, and date/time APIs. The Java Community Process is also being improved to increase transparency, participation, and agility through JSR 348. Overall, the Java ecosystem continues to grow with new languages on the JVM and an active community.
Open Source Compiler Construction for the JVMTom Lee
This document discusses building a compiler for a simple language called "Awesome" that targets the Java Virtual Machine (JVM). It recommends writing a stub code generator first for quick feedback before building the full compiler. The compiler will use Scala parser combinators to parse the input into an abstract syntax tree (AST) and then walk the AST to generate equivalent JVM bytecode using the Bytecode Engineering Library (BCEL). The document outlines the overall compiler architecture and next steps to expand the language features supported by the compiler.
JRuby is an implementation of the Ruby language that runs on the Java Virtual Machine. It allows Ruby code to access Java libraries and APIs and Java code to call Ruby methods. Some benefits of JRuby include access to mature and stable Java platforms, libraries, and tools as well as improved performance from features like garbage collection. JRuby also allows Java shops to introduce scripting and Ruby skills.
My goals have been:
- focusing on several project areas, where you can use jruby successfully
- share the experience that I made using ruby in the last years
- proove that things can be done easier as they are done in typical java projects
This document discusses Ruby, an object-oriented scripting language, and its integration with Java via JRuby. It provides an overview of Ruby concepts like classes, modules, and metaprogramming. It then discusses how JRuby allows embedding Ruby as a scripting language in Java applications and using Java classes from Ruby. It also covers Ruby on Rails and how JRuby can be used to deploy Rails applications on the JVM. Finally, it discusses performance improvements in JRuby 1.7 and some benefits of using JRuby.
This document discusses using Java from Ruby with JRuby IRB. It provides an introduction to JRuby and demonstrates how to load Java support and libraries, import Java classes, refer to and instantiate Java objects, implement Java interfaces, call static methods and fields, perform type conversions, invoke overloaded methods, and gives a complex example using the Akka framework to calculate Pi. It also discusses Maven integration, directory layout, and testing frameworks like RSpec and Cucumber that can be used.
Rjb is a Ruby gem that allows Ruby code to interact with Java objects by wrapping them in Ruby classes, enabling Ruby applications to leverage existing Java libraries and solutions. It provides a simple API for loading Java classes and calling methods on Java objects from Ruby without requiring a full Java runtime like JRuby. The document discusses how to install, configure and use Rjb to integrate Java functionality into Ruby and Rails applications.
This document summarizes a presentation about Ruby and IronRuby. It introduces Ruby as a dynamic, object-oriented language that can run on different virtual machines like MRI, JRuby, and IronRuby. It describes key Ruby concepts like blocks, mixins, and metaprogramming. The document also covers how to use IronRuby from .NET, such as hosting Ruby from C# using different app domain techniques. It recommends using Ruby and IronRuby for internal DSLs, testing, and lightweight web development.
The document discusses Java bytecode and the Java Virtual Machine (JVM). It provides details on:
- Bytecode is machine language for the JVM and is stored in class files. Each method has its own bytecode stream.
- Bytecode instructions consist of opcodes and operands that are executed by the JVM. Common opcodes include iconst_0, istore_0, iinc, iload_0, etc.
- The JVM has various components like the class loader, runtime data areas (method area, heap, stacks), and execution engine that interprets or compiles bytecode to machine code.
Java ScriptingJava Scripting: One VM, Many Languageselliando dias
The document discusses using scripting languages with the Java platform. It provides an overview of scripting languages and their uses. It explains how the Java virtual machine can run many languages and leverage their advantages while providing scalability. Examples are given of integrating scripts with Java applications and invoking script functions from Java. Future directions like JSR 292 for dynamic invocation are also covered.
Java is a widely used programming language that is mainly used for application programming. It is platform-independent and supports features like multi-threading and documentation comments. The key aspects of a simple Java program are that it must contain a class with a main method that can be the starting point of execution. The main method has a specific signature of public static void main(String[] args). When a Java program is run, the JVM (Java Virtual Machine) loads and executes the program by performing operations like loading code, verifying code, and providing a runtime environment.
This document provides an overview and introduction to Ruby on Rails. It begins with an agenda and introduction to the speaker. It then provides a brief introduction to Rails, including what industries use it, examples of popular websites built with Rails, and an explanation of its model-view-controller architecture and RESTful design philosophy. The document continues with sections on auditing Rails applications, identifying common vulnerabilities like mass assignment and cross-site scripting, and recommendations for removing vulnerabilities.
Vert.x - Tehran JUG meeting Aug-2014 - Saeed ZarinfamSaeed Zarinfam
This document provides an overview of Vert.x, an application platform that runs on the JVM and allows building reactive applications. Vert.x is asynchronous, non-blocking, and distributed. It uses an event-driven architecture and supports polyglot programming through modules for Java, JavaScript, Python, Ruby, and other languages. Vert.x applications are composed of lightweight verticle components that communicate asynchronously through an event bus. It provides clustering, failover, and load balancing capabilities to build scalable and resilient applications.
TorqueBox - Ultrapassando a fronteira entre Java e RubyBruno Oliveira
The document discusses Java and Ruby programming languages and the TorqueBox framework. It provides an overview of TorqueBox which allows running Ruby on Rails applications on the JBoss Application Server using the JRuby implementation of Ruby. It covers installing and deploying applications with TorqueBox, using features like caching, clustering, and Infinispan for distributed caching.
The document discusses and compares Dalvik VM and Java VM. It states that Dalvik VM is used in Android and executes optimized .dex files and Dalvik bytecodes, while Java VM executes .class files. It also mentions that Dalvik VM uses register-based architecture while Java VM uses stack-based architecture. The document further discusses advantages of Dalvik VM like minimal memory footprint and how .class files are converted to .dex files. It provides comparisons between key aspects of both VMs.
This document provides an overview of JRuby, including what JRuby is, its design goals of bringing the best of Ruby and Java together, why one might use JRuby over Ruby or Java, and how to call between Java and Ruby code when using JRuby. Key points covered include that JRuby is an implementation of Ruby that runs on the Java Virtual Machine, allowing Ruby code to leverage Java libraries and be deployed on Java application servers and platforms, while retaining Ruby's syntax and features.
This document provides an introduction to JRuby, which allows Ruby code to run on the Java Virtual Machine. It discusses key features of Ruby like dynamic typing and everything being an object. It then covers how to integrate Ruby and Java code through the Java integration layer, including calling Java from Ruby and converting interfaces. The document concludes by discussing using JRuby for applications, testing Java with RSpec, and build utilities.
This document discusses using DataMapper with Infinispan as a clustered NoSQL data store. It covers:
- DataMapper is a Ruby ORM that can use Infinispan as its data adapter through the dm-infinispan-adapter gem.
- Infinispan is a highly scalable, distributed Java cache that provides a data grid. It supports replication, distribution and local caching.
- The dm-infinispan-adapter allows DataMapper objects to be stored in Infinispan, enabling a clustered NoSQL backend for Ruby applications. It generates runtime annotations to integrate with Hibernate Search.
Java was created in 1991 at Sun Microsystems by James Gosling and others. It derives its syntax from C and object-oriented features from C++. Java is portable, secure, object-oriented, robust, multithreaded, architecture neutral, distributed, and dynamic. The Java Virtual Machine (JVM) executes Java bytecode, which is platform independent. The Java Development Kit (JDK) includes tools for developing Java programs like the compiler and JRE. The JRE provides the minimum requirements to run Java programs and includes the JVM and core classes. A simple "Hello World" Java program is presented.
This talk provides a number of step-by-step examples that illustrate different ways in which Rails applications can interact effectively with third-party Java libraries. The presentation shows how developers can leverage JRuby to augment Rails applications with the mature, third-party libraries that are widely available in the Java world.
JRuby + Rails = Awesome Java Web Framework at Jfokus 2011Nick Sieger
This document summarizes a presentation on using JRuby and Ruby on Rails for web application development. It discusses how JRuby allows Ruby code to drive Java, embed Ruby in Java applications, and compile Ruby to Java bytecode. Rails is presented as a dynamic web framework that uses conventions over configuration and opinionated defaults. The document provides examples of common Rails features like scaffolding, models, controllers and views. It also outlines how to deploy Rails applications as WAR files or to cloud platforms using JRuby.
This document provides an overview of Ruby on Rails, Apache httpd, and Oracle. It discusses why Ruby on Rails is useful for rapid prototyping, and how it can be integrated with Apache and Oracle. The document demonstrates Rails generators, routing, testing with RSpec, and security features. It also outlines how to configure Apache and link Rails to an Oracle database. The presenter provides cheat sheets for creating a sample Rails application integrated with Devise, ActiveAdmin, and a database, with minimal code required. The key takeaway is that learning is fun through experimenting with different technologies.
Rjb is a Ruby gem that allows Ruby code to interact with Java objects by wrapping them in Ruby classes, enabling Ruby applications to leverage existing Java libraries and solutions. It provides a simple API for loading Java classes and calling methods on Java objects from Ruby without requiring a full Java runtime like JRuby. The document discusses how to install, configure and use Rjb to integrate Java functionality into Ruby and Rails applications.
This document summarizes a presentation about Ruby and IronRuby. It introduces Ruby as a dynamic, object-oriented language that can run on different virtual machines like MRI, JRuby, and IronRuby. It describes key Ruby concepts like blocks, mixins, and metaprogramming. The document also covers how to use IronRuby from .NET, such as hosting Ruby from C# using different app domain techniques. It recommends using Ruby and IronRuby for internal DSLs, testing, and lightweight web development.
The document discusses Java bytecode and the Java Virtual Machine (JVM). It provides details on:
- Bytecode is machine language for the JVM and is stored in class files. Each method has its own bytecode stream.
- Bytecode instructions consist of opcodes and operands that are executed by the JVM. Common opcodes include iconst_0, istore_0, iinc, iload_0, etc.
- The JVM has various components like the class loader, runtime data areas (method area, heap, stacks), and execution engine that interprets or compiles bytecode to machine code.
Java ScriptingJava Scripting: One VM, Many Languageselliando dias
The document discusses using scripting languages with the Java platform. It provides an overview of scripting languages and their uses. It explains how the Java virtual machine can run many languages and leverage their advantages while providing scalability. Examples are given of integrating scripts with Java applications and invoking script functions from Java. Future directions like JSR 292 for dynamic invocation are also covered.
Java is a widely used programming language that is mainly used for application programming. It is platform-independent and supports features like multi-threading and documentation comments. The key aspects of a simple Java program are that it must contain a class with a main method that can be the starting point of execution. The main method has a specific signature of public static void main(String[] args). When a Java program is run, the JVM (Java Virtual Machine) loads and executes the program by performing operations like loading code, verifying code, and providing a runtime environment.
This document provides an overview and introduction to Ruby on Rails. It begins with an agenda and introduction to the speaker. It then provides a brief introduction to Rails, including what industries use it, examples of popular websites built with Rails, and an explanation of its model-view-controller architecture and RESTful design philosophy. The document continues with sections on auditing Rails applications, identifying common vulnerabilities like mass assignment and cross-site scripting, and recommendations for removing vulnerabilities.
Vert.x - Tehran JUG meeting Aug-2014 - Saeed ZarinfamSaeed Zarinfam
This document provides an overview of Vert.x, an application platform that runs on the JVM and allows building reactive applications. Vert.x is asynchronous, non-blocking, and distributed. It uses an event-driven architecture and supports polyglot programming through modules for Java, JavaScript, Python, Ruby, and other languages. Vert.x applications are composed of lightweight verticle components that communicate asynchronously through an event bus. It provides clustering, failover, and load balancing capabilities to build scalable and resilient applications.
TorqueBox - Ultrapassando a fronteira entre Java e RubyBruno Oliveira
The document discusses Java and Ruby programming languages and the TorqueBox framework. It provides an overview of TorqueBox which allows running Ruby on Rails applications on the JBoss Application Server using the JRuby implementation of Ruby. It covers installing and deploying applications with TorqueBox, using features like caching, clustering, and Infinispan for distributed caching.
The document discusses and compares Dalvik VM and Java VM. It states that Dalvik VM is used in Android and executes optimized .dex files and Dalvik bytecodes, while Java VM executes .class files. It also mentions that Dalvik VM uses register-based architecture while Java VM uses stack-based architecture. The document further discusses advantages of Dalvik VM like minimal memory footprint and how .class files are converted to .dex files. It provides comparisons between key aspects of both VMs.
This document provides an overview of JRuby, including what JRuby is, its design goals of bringing the best of Ruby and Java together, why one might use JRuby over Ruby or Java, and how to call between Java and Ruby code when using JRuby. Key points covered include that JRuby is an implementation of Ruby that runs on the Java Virtual Machine, allowing Ruby code to leverage Java libraries and be deployed on Java application servers and platforms, while retaining Ruby's syntax and features.
This document provides an introduction to JRuby, which allows Ruby code to run on the Java Virtual Machine. It discusses key features of Ruby like dynamic typing and everything being an object. It then covers how to integrate Ruby and Java code through the Java integration layer, including calling Java from Ruby and converting interfaces. The document concludes by discussing using JRuby for applications, testing Java with RSpec, and build utilities.
This document discusses using DataMapper with Infinispan as a clustered NoSQL data store. It covers:
- DataMapper is a Ruby ORM that can use Infinispan as its data adapter through the dm-infinispan-adapter gem.
- Infinispan is a highly scalable, distributed Java cache that provides a data grid. It supports replication, distribution and local caching.
- The dm-infinispan-adapter allows DataMapper objects to be stored in Infinispan, enabling a clustered NoSQL backend for Ruby applications. It generates runtime annotations to integrate with Hibernate Search.
Java was created in 1991 at Sun Microsystems by James Gosling and others. It derives its syntax from C and object-oriented features from C++. Java is portable, secure, object-oriented, robust, multithreaded, architecture neutral, distributed, and dynamic. The Java Virtual Machine (JVM) executes Java bytecode, which is platform independent. The Java Development Kit (JDK) includes tools for developing Java programs like the compiler and JRE. The JRE provides the minimum requirements to run Java programs and includes the JVM and core classes. A simple "Hello World" Java program is presented.
This talk provides a number of step-by-step examples that illustrate different ways in which Rails applications can interact effectively with third-party Java libraries. The presentation shows how developers can leverage JRuby to augment Rails applications with the mature, third-party libraries that are widely available in the Java world.
JRuby + Rails = Awesome Java Web Framework at Jfokus 2011Nick Sieger
This document summarizes a presentation on using JRuby and Ruby on Rails for web application development. It discusses how JRuby allows Ruby code to drive Java, embed Ruby in Java applications, and compile Ruby to Java bytecode. Rails is presented as a dynamic web framework that uses conventions over configuration and opinionated defaults. The document provides examples of common Rails features like scaffolding, models, controllers and views. It also outlines how to deploy Rails applications as WAR files or to cloud platforms using JRuby.
This document provides an overview of Ruby on Rails, Apache httpd, and Oracle. It discusses why Ruby on Rails is useful for rapid prototyping, and how it can be integrated with Apache and Oracle. The document demonstrates Rails generators, routing, testing with RSpec, and security features. It also outlines how to configure Apache and link Rails to an Oracle database. The presenter provides cheat sheets for creating a sample Rails application integrated with Devise, ActiveAdmin, and a database, with minimal code required. The key takeaway is that learning is fun through experimenting with different technologies.
This document discusses RESThub, a full stack Java and JavaScript framework. It provides a plugin-based architecture using Spring and Maven. The Java stack includes generic DAO, service, and test classes along with JPA and validation. The JavaScript stack supports routing, classes, controllers, templates, widgets, and repositories to enable building rich client applications with a REST backend. Examples and roadmaps are also mentioned.
The document provides an introduction and overview of Ruby on Rails. It discusses the history and features of Ruby and compares it to other programming languages like Python and Perl. It then describes the architecture of Rails, including the Model-View-Controller pattern and ActiveRecord. The document also provides examples of migrations, validations and associations in Rails.
The document summarizes the evolution of Java 7 including:
1. An overview of the history and prerequisites that led to the creation of Java, including how it was initially developed in 1991 for consumer devices.
2. A discussion of the different versions of Java released from JDK 1.0 to Java 7, highlighting improvements in each version.
3. Examples demonstrating new features in Java 7 like strings in switch statements, binary literals, multi-catch exceptions, and try-with-resources statements.
This document provides an introduction to JRuby, which is a Ruby interpreter rewritten in Java. It discusses motivations for using JRuby such as accessing Java libraries from Ruby and vice versa. It covers key aspects of JRuby including running Ruby code on the Java Virtual Machine, interacting with Java classes from Ruby, and inheriting from Java classes. It also benchmarks JRuby performance and outlines future directions. The document is intended to explain what JRuby is and why developers might want to use it.
Dynamic languages like Groovy, JRuby, and Ruby on Rails can run on the Java Virtual Machine (JVM) and integrate with Java technologies. This allows developers to benefit from dynamic language features while leveraging existing Java investments. Frameworks like Grails and Rails are designed for rapid web application development using conventions over configuration and minimize repetitive code. Integrating with the JVM means these dynamic languages can access Java libraries and be deployed on Java application servers without losing existing Java skills and infrastructure.
Ruby on Rails is a web application framework that allows developers to build dynamic web applications using the Ruby programming language. It emphasizes convention over configuration and aims to increase developer productivity. Some key features of Rails include its use of the MVC framework, Active Record for database access, scaffolding for quickly building CRUD applications, and support for metaprogramming techniques. Rails also supports test-driven development and provides environments for development, testing and production.
Ruby on Rails is a web application framework for Ruby that allows developers to create or manage web applications that manipulate relational databases from a web-based user interface. Rails emphasizes convention over configuration, making assumptions about naming and directory structure that allow for rapid development. It implements the model-view-controller architecture and embraces test-driven development. Rails aims to increase productivity by reducing repetition and configuration through conventions and metaprogramming techniques.
Ruby on Rails is a web application framework that uses the Ruby programming language. It allows developers to create and manage web applications that interact with relational databases through a web-based user interface. Rails emphasizes conventions over configuration, making assumptions about conventions to decrease configuration. It also utilizes metaprogramming techniques and scaffolding to increase developer productivity. Rails follows the model-view-controller architecture and embraces test-driven development.
This document discusses JRuby, a Ruby interpreter that runs on the Java Virtual Machine. It provides a quick comparison of JRuby to MRI Ruby 1.8.7 and 1.9.1, noting JRuby's gem compatibility, Java integration features, and performance. The document also covers using JRuby on Rails and deploying Rails applications to Google App Engine using JRuby. Shortcomings of JRuby like issues with C extensions are also noted.
The document summarizes a Java Emerging Technology (JET) conference held in September 2008. It provides outlines and details on sessions covering topics like Java 7 features and timelines, the EasyB behavior-driven development framework, Scala as an object-oriented functional language, Groovy as a dynamic language, Grails as a web application framework, developments in J2ME, and the Android mobile platform. Examples of code were provided for many of the sessions to demonstrate the technologies.
This document provides an overview of Java 8 including:
- Java 8 has approximately 9 million developers and Oracle supports versions 6-8.
- New features include default methods, lambda expressions, streams, and parallel processing capabilities.
- JavaScript integration allows JavaScript code to be run from Java, enabling database and other connections from JavaScript.
- Potential issues with Java 8 include more complex debugging due to lambda expressions and increased abstraction.
This document provides an overview of behavioural testing for Ruby on Rails applications at scale using RSpec and Cucumber. It discusses unit, integration and acceptance testing. It then covers the Test Driven Development (TDD) and Behaviour Driven Development (BDD) approaches. The rest of the document explains how to implement testing with RSpec, Shoulda-Matchers, Factory Girl, Cucumber, Gherkin and Capybara. It also discusses different web drivers that can be used like Rack Test, Selenium, Capybara-webkit and Poltergeist.
Ruby on Rails is a web application framework that is designed to make programming web applications easier and more enjoyable. It includes features like an object-relational mapper called Active Record that allows database rows to be represented as objects, conventions that reduce configuration, and support for test-driven development. Rails is built on Ruby, an interpreted object-oriented programming language, and aims to be programmer friendly and allow powerful applications to be built quickly. Several experts praise Rails for lowering the barriers to entry for programming and being a well-thought-out framework.
Life after Java - Reusing Code and Skills in a .NET world / presentation at ITProDevConnections 2010 - http://www.itprodevconnections.gr
Zepto and the rise of the JavaScript Micro-FrameworksThomas Fuchs
The document discusses nano and pico frameworks for mobile JavaScript development. It highlights advantages of micro-frameworks like Zepto.js over larger frameworks, including smaller file size for faster loading, using native browser features instead of duplicating functionality, and focusing on the most common use cases. The document promotes micro-frameworks for mobile as they are lightweight, modular, and optimize for key tasks on resource-constrained devices.
מכונות CNC קידוח אנכיות הן הבחירה הנכונה והטובה ביותר לקידוח ארונות וארגזים לייצור רהיטים. החלק נוסע לאורך ציר ה-x באמצעות ציר דיגיטלי מדויק, ותפוס ע"י צבת מכנית, כך שאין צורך לבצע setup (התאמות) לגדלים שונים של חלקים.
If You Use Databricks, You Definitely Need FMESafe Software
DataBricks makes it easy to use Apache Spark. It provides a platform with the potential to analyze and process huge volumes of data. Sounds awesome. The sales brochure reads as if it is a can-do-all data integration platform. Does it replace our beloved FME platform or does it provide opportunities for FME to shine? Challenge accepted
Establish Visibility and Manage Risk in the Supply Chain with Anchore SBOMAnchore
Over 70% of any given software application consumes open source software (most likely not even from the original source) and only 15% of organizations feel confident in their risk management practices.
With the newly announced Anchore SBOM feature, teams can start safely consuming OSS while mitigating security and compliance risks. Learn how to import SBOMs in industry-standard formats (SPDX, CycloneDX, Syft), validate their integrity, and proactively address vulnerabilities within your software ecosystem.
TrustArc Webinar - 2025 Global Privacy SurveyTrustArc
How does your privacy program compare to your peers? What challenges are privacy teams tackling and prioritizing in 2025?
In the sixth annual Global Privacy Benchmarks Survey, we asked global privacy professionals and business executives to share their perspectives on privacy inside and outside their organizations. The annual report provides a 360-degree view of various industries' priorities, attitudes, and trends. See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar features an expert panel discussion and data-driven insights to help you navigate the shifting privacy landscape. Whether you are a privacy officer, legal professional, compliance specialist, or security expert, this session will provide actionable takeaways to strengthen your privacy strategy.
This webinar will review:
- The emerging trends in data protection, compliance, and risk
- The top challenges for privacy leaders, practitioners, and organizations in 2025
- The impact of evolving regulations and the crossroads with new technology, like AI
Predictions for the future of privacy in 2025 and beyond
Jeremy Millul - A Talented Software DeveloperJeremy Millul
Jeremy Millul is a talented software developer based in NYC, known for leading impactful projects such as a Community Engagement Platform and a Hiking Trail Finder. Using React, MongoDB, and geolocation tools, Jeremy delivers intuitive applications that foster engagement and usability. A graduate of NYU’s Computer Science program, he brings creativity and technical expertise to every project, ensuring seamless user experiences and meaningful results in software development.
Domino IQ – What to Expect, First Steps and Use Casespanagenda
Webinar Recording: https://www.panagenda.com/webinars/domino-iq-what-to-expect-first-steps-and-use-cases/
HCL Domino iQ Server – From Ideas Portal to implemented Feature. Discover what it is, what it isn’t, and explore the opportunities and challenges it presents.
Key Takeaways
- What are Large Language Models (LLMs) and how do they relate to Domino iQ
- Essential prerequisites for deploying Domino iQ Server
- Step-by-step instructions on setting up your Domino iQ Server
- Share and discuss thoughts and ideas to maximize the potential of Domino iQ
Your startup on AWS - How to architect and maintain a Lean and Mean accountangelo60207
Prevent infrastructure costs from becoming a significant line item on your startup’s budget! Serial entrepreneur and software architect Angelo Mandato will share his experience with AWS Activate (startup credits from AWS) and knowledge on how to architect a lean and mean AWS account ideal for budget minded and bootstrapped startups. In this session you will learn how to manage a production ready AWS account capable of scaling as your startup grows for less than $100/month before credits. We will discuss AWS Budgets, Cost Explorer, architect priorities, and the importance of having flexible, optimized Infrastructure as Code. We will wrap everything up discussing opportunities where to save with AWS services such as S3, EC2, Load Balancers, Lambda Functions, RDS, and many others.
MCP vs A2A vs ACP: Choosing the Right Protocol | BluebashBluebash
Understand the differences between MCP vs A2A vs ACP agent communication protocols and how they impact AI agent interactions. Get expert insights to choose the right protocol for your system. To learn more, click here: https://www.bluebash.co/blog/mcp-vs-a2a-vs-acp-agent-communication-protocols/
Your startup on AWS - How to architect and maintain a Lean and Mean account J...angelo60207
Prevent infrastructure costs from becoming a significant line item on your startup’s budget! Serial entrepreneur and software architect Angelo Mandato will share his experience with AWS Activate (startup credits from AWS) and knowledge on how to architect a lean and mean AWS account ideal for budget minded and bootstrapped startups. In this session you will learn how to manage a production ready AWS account capable of scaling as your startup grows for less than $100/month before credits. We will discuss AWS Budgets, Cost Explorer, architect priorities, and the importance of having flexible, optimized Infrastructure as Code. We will wrap everything up discussing opportunities where to save with AWS services such as S3, EC2, Load Balancers, Lambda Functions, RDS, and many others.
Improving Developer Productivity With DORA, SPACE, and DevExJustin Reock
Ready to measure and improve developer productivity in your organization?
Join Justin Reock, Deputy CTO at DX, for an interactive session where you'll learn actionable strategies to measure and increase engineering performance.
Leave this session equipped with a comprehensive understanding of developer productivity and a roadmap to create a high-performing engineering team in your company.
FME Beyond Data Processing Creating A Dartboard Accuracy AppSafe Software
At Nordend, we want to push the boundaries of FME and explore its potential for more creative applications. In our office, we have a dartboard, and while improving our dart-throwing skills was an option, we took a different approach: What if we could use FME to calculate where we should aim to achieve the highest possible score, based on our accuracy? Using FME’s Geometry User parameter, we designed a custom solution. When launching the FME Flow app, the map is now a dartboard. The centre of the map is always fixed on the same area of the world, where we pinned a PNG picture of a dartboard as a basemap through a self-created WMS. This visual setup allowed us to draw polygons—each with three points—where our darts landed, using the Geometry parameter. These polygons get processed through an FME workspace, which translates the coordinates from the map into exact X and Y positions on the dartboard. With this accurate data, we calculate all sorts of statistics: rolling averages, best scores, and even standard deviations. The results get displayed on a dashboard in FME Flow, giving us insights into how we could maximize our scores, based purely on where we actually tend to throw. Join us for a live demonstration of the app! The takeaway? FME isn’t just a powerful data processing tool; with a bit of imagination, it can be used for far more creative and unconventional applications. This project demonstrates that the only limit to what FME can do is the creativity you bring to it.
How Advanced Environmental Detection Is Revolutionizing Oil & Gas Safety.pdfRejig Digital
Unlock the future of oil & gas safety with advanced environmental detection technologies that transform hazard monitoring and risk management. This presentation explores cutting-edge innovations that enhance workplace safety, protect critical assets, and ensure regulatory compliance in high-risk environments.
🔍 What You’ll Learn:
✅ How advanced sensors detect environmental threats in real-time for proactive hazard prevention
🔧 Integration of IoT and AI to enable rapid response and minimize incident impact
📡 Enhancing workforce protection through continuous monitoring and data-driven safety protocols
💡 Case studies highlighting successful deployment of environmental detection systems in oil & gas operations
Ideal for safety managers, operations leaders, and technology innovators in the oil & gas industry, this presentation offers practical insights and strategies to revolutionize safety standards and boost operational resilience.
👉 Learn more: https://www.rejigdigital.com/blog/continuous-monitoring-prevent-blowouts-well-control-issues/
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2025/06/state-space-models-vs-transformers-for-ultra-low-power-edge-ai-a-presentation-from-brainchip/
Tony Lewis, Chief Technology Officer at BrainChip, presents the “State-space Models vs. Transformers for Ultra-low-power Edge AI” tutorial at the May 2025 Embedded Vision Summit.
At the embedded edge, choices of language model architectures have profound implications on the ability to meet demanding performance, latency and energy efficiency requirements. In this presentation, Lewis contrasts state-space models (SSMs) with transformers for use in this constrained regime. While transformers rely on a read-write key-value cache, SSMs can be constructed as read-only architectures, enabling the use of novel memory types and reducing power consumption. Furthermore, SSMs require significantly fewer multiply-accumulate units—drastically reducing compute energy and chip area.
New techniques enable distillation-based migration from transformer models such as Llama to SSMs without major performance loss. In latency-sensitive applications, techniques such as precomputing input sequences allow SSMs to achieve sub-100 ms time-to-first-token, enabling real-time interactivity. Lewis presents a detailed side-by-side comparison of these architectures, outlining their trade-offs and opportunities at the extreme edge.
Scaling GenAI Inference From Prototype to Production: Real-World Lessons in S...Anish Kumar
Presented by: Anish Kumar
LinkedIn: https://www.linkedin.com/in/anishkumar/
This lightning talk dives into real-world GenAI projects that scaled from prototype to production using Databricks’ fully managed tools. Facing cost and time constraints, we leveraged four key Databricks features—Workflows, Model Serving, Serverless Compute, and Notebooks—to build an AI inference pipeline processing millions of documents (text and audiobooks).
This approach enables rapid experimentation, easy tuning of GenAI prompts and compute settings, seamless data iteration and efficient quality testing—allowing Data Scientists and Engineers to collaborate effectively. Learn how to design modular, parameterized notebooks that run concurrently, manage dependencies and accelerate AI-driven insights.
Whether you're optimizing AI inference, automating complex data workflows or architecting next-gen serverless AI systems, this session delivers actionable strategies to maximize performance while keeping costs low.
ELNL2025 - Unlocking the Power of Sensitivity Labels - A Comprehensive Guide....Jasper Oosterveld
Sensitivity labels, powered by Microsoft Purview Information Protection, serve as the foundation for classifying and protecting your sensitive data within Microsoft 365. Their importance extends beyond classification and play a crucial role in enforcing governance policies across your Microsoft 365 environment. Join me, a Data Security Consultant and Microsoft MVP, as I share practical tips and tricks to get the full potential of sensitivity labels. I discuss sensitive information types, automatic labeling, and seamless integration with Data Loss Prevention, Teams Premium, and Microsoft 365 Copilot.
2. The Java platform “ It’s all about the Java Virtual Machine. That’s the integration hub.” Gosling, Sun Tech Days 2007 Lots of new languages for the JVM Scala, Clojure, Groovy, Jython, (J)Ruby, JavaScript (Rhino), JavaFX The DaVinci Machine JSR-292 Target JDK 7 invokedynamic instruction
3. Why Ruby? Ubiquity C-Ruby (MRI) JRuby IronRuby (.NET) Rubinius, Maglev, YARV Scripting java shebang/backticks Rails Framework Support from Sun, Thoughtworks Most likely to succeed?
4. What is Ruby? Created by Yukihiro Matsumoto (Matz) in 1993 “ A dynamic, open source programming language with a focus on simplicity and productivity. It has an elegant syntax that is natural to read and easy to write.” The principle of least surprise Runtime efficiency not a top priority “ More powerful than Perl, more OO than Python” MRI is the specification RubySpec is in the works
5. Ruby Characteristics Interpreted Object oriented ” myString”.upcase 2_500.+2 44.modulo 5 Reflective Garbage collected Duck typing If it walks like a duck and quacks like a duck it must be a duck
6. Dynamic features Reopen existing classes redefine methods “ monkeypatching” Meta-programming Method aliasing alias_method :validates_size_of , :validates_length_of method_missing Eg provide a generic sort method sort_by_x Closures
7. Core Ruby tools (j)ruby the interpreter (j)irb interactive ruby, ~readline support, tab completion ri ruby interactive ~man pages rdoc html doc ~javadoc rake ant/make for ruby gem package manager
8. Ruby anatomy Classes are CamelCased Methods are under_scored Generally no need for curly braces, parentheses, semicolon or return statement code more compact Comments =begin block comment =end # line comment Variables Constant @@classVariable @instanceVariable localVariable :symbol
10. Ruby structure Modules Module::Class Mix-ins interfaces with functionality Namespace Subclass < Superclass Single inheritance only Files are named *.rb can hold many classes require ’file’ include Module searches $LOAD_PATH
11. Access modifiers private Private to this instance (might be a subclass) You can’t specify the receiver, not even self protected Can be called by instances of the same class Eg use for comparators public FFA private :method or private (until end) The modifiers are methods, not keywords
13. Method signature - Java Method overloading Number of method signatures increases fast if flexibility is wanted
14. Method signature – PL/SQL Named parameters Still have to change method signature too add parameters
15. Method signature – Ruby Hash as optional parameter, not named parameters No need to change method signature Hash doesn’t need curly braces Method overload unavailable *args => arguments array
16. More syntax examples =~ regexp matcher myString =~ /[0-9]+/ %w[] String array myArray = %w[ruby java haskell] {||} or do || end closures (and embedded variables) myHash.each { |k, v| puts k+’ is ‘+v } myHash.each do |key, val| puts “#{key} is #{val}” end
17. Ruby on Rails MVC Framework “ Rails is the most well thought-out web development framework I’ve ever used. And that’s in a decade of doing web applications for a living. I’ve built my own frameworks, helped develop the Servlet API, and have created more than a few web servers from scratch. Nobody has done it like this before.” -James Duncan Davidson, Creator of Tomcat and Ant “ Rails is the killer app for Ruby.” Yukihiro Matsumoto, Creator of Ruby
18. RoR principles Opinionated software Convention over configuration DRY REST GET /products #get all GET /products/42 #get id=42 POST /products #create Fast feedback loop just reload, no compile Rails itself is a gem
19. Ruby on Rails concepts rails <appname> generates skeleton routes.rb ~struts-config.xml *.html.erb ~JSP Generators Generates model, view, controller, tests Partials (html.erb snippets) Plugins (instead of gems) Default database is sqlite3 (via JDBC for JRuby) Filters (defined in controller)
20. RoR tools rails <appname> -d <database> script/generate scaffold Person name:string script/server script/console irb with access to the application script/dbconsole enter SQL script/server –debugger debugger in the code drops to console
21. ActiveRecord O/R mapping Db migrations, dev, test, prod up and down database agnostic rake db:migrate config/database.yml Opinionated software primary key named id pluralization class Book => db books
22. RoR model example class BlogPost < ActiveRecord::Base belongs_to :author has_many :comments validates_presence_of :title end comments table needs blog_post_id blog_posts table needs author_id New post need title field
26. Jruby Motivation The JVM Sneak into the enterprise Reuse infrastructure Integrate with Java applications Performance and scalability
27. JRuby on Rails Develop as Java Netbeans Eclipse Integrate with Java Call EJBs Use JMS queues Use JNDI Use JAAS Deploy on Java As *.war using warbler Rails deployer (JBoss, Glassfish)
28. Java integration include Java / require ”java” include Java::JavaxSwing include_class "javax.naming.InitialContext” require ”path/to/my.jar” prefix javaclasses to avoid name collisions String => JString include_class 'java.lang.String’ {|package,name| "J#{name}" } Method alias System.currentTimeMillis => System.current_time_millis Getters and setters behaves like attr_accessor fields
29. IDE support Eclipse - DLTK (Dynamic Languages Toolkit) Eclipse foundation plugin Support for TCL, Python, Ruby No Rails Eclipse - Aptana RadRails RDT Ruby Editor Rails support generators/scripts Visual debug Testrunner Netbeans Official plugin
30. Conclusion Ruby is sweet! Syntactic sugar Fun to work with Ruby is useful! Integrate with Java OO scripting Rails is probably fast enough Ruby is hard! “ Good programmers become better, bad programmers become worse” Test, test, test