Groovy is a dynamic language that provides different types of metaprogramming techniques. In this talk we'll mainly see Runtime Metaprogramming.
In this talk you'll understand the Groovy Meta-Object-Protocol (MOP), the metaclass, how to intercept method calls, how to deal with method missing and property missing, the use of mixins, traits and categories. All of these topics will be explained with examples in order to understand them.
Groovy is a dynamic language that provides different types of metaprogramming techniques. In this talk we’ll mainly see runtime metaprogramming. You’ll understand the Groovy Meta-Object-Protocol (MOP), the metaclass, how to intercept method calls, how to deal with method missing and property missing, the use of mixins, traits and categories. All of these topics will be explained with examples in order to understand them.
Also, you’ll see a little bit about compile-time metaprogramming with AST Transformations. AST Transformations provide a wonderful way of manipulating code at compile time via modifications of the Abstract Syntax Tree. You’ll see a basic but powerful example of what we can do with AST transformations.
Programmers naturally assume that different programs require different code. Minesweeper is not the same as AES, Windows is not the same as Linux, and Notepad is not the same as malware. But what if this were not the case? We'll walk through how we can convert all programs into the exact same code - allowing the CPU to execute the same sequence of instructions, to run any possible application. By fundamentally changing our ideas about what it means to "compute", we'll outline the unsettling implications for malware detection, and open some fascinating new doors in exploitation.
Greach 2015 AST – Groovy Transformers: More than meets the eye!Iván López Martín
Slides for my Greach 2015 talk: http://greachconf.com/speakers/ivan-lopez-ast-groovy-transformers-more-than-meets-the-eye/
The source code is: https://github.com/lmivan/greach2015
Groovy is a great language with extremely powerful capabilities about compile time meta-programming. Do you know that provides more than 40 AST transformations out-of-the box just to make your life as a developer easier?
In this talk you will learn the most important transformations provided by Groovy. I’ll use a lot of code examples to explain all the concepts.
The containers and particularly Docker have been one of the buzzwords of the last years, but do they offer what they promise?
In this talk will see a very quick an basic Docker 101 introduction and then will see how we can take advantages of all its features for developing and deploying our Grails applications.
Codemotion Madrid 2014 - Spring ha muerto... ¡larga vida a spring boot!Iván López Martín
Slides de mi charla de Codemotion 2014: "Spring ha muerto... ¡Larga vida a Spring Boot!"
El codigo está disponible en: https://github.com/lmivan/codemotion-madrid-2014-examples
--------------
Actualmente se necesita un tiempo nada despreciable para configurar la arquitectura de tu aplicación y empezar a desarrollar. Y si hablamos de Spring esto pueden ser horas o incluso días...
¿Qué tal si tardases menos de 5 minutos?
Spring Boot permite de manera fácil y rápida la creación de aplicaciones basadas en Spring Framework eliminando toda la configuración XML. No se trata de generación de código sino que proporciona configuraciones por defecto a la vez que permite de manera muy sencilla sobreescribir estas configuraciones según nuestras necesidades. Con él podemos crear aplicaciones "production-ready" proporcionando adicionalmente y de manera automática métricas, health-checks y configuración externalizada.
En la charla verás, entre otros, ejemplos introductorios, la creación de un pequeño API Rest, el uso de Websockets... y ¡muchos más!
Todos los ejemplos que verás estarán escritos en Groovy, pero eso no te impedirá sacar todo el provecho a la charla aunque tu lenguaje favorito sea Java o Scala.
Groovy is a dynamic language that provides different types of metaprogramming techniques. In this talk we’ll mainly see runtime metaprogramming. You’ll understand the Groovy Meta-Object-Protocol (MOP), the metaclass, how to intercept method calls, how to deal with method missing and property missing, the use of mixins, traits and categories. All of these topics will be explained with examples in order to understand them.
Also, you’ll see a little bit about compile-time metaprogramming with AST Transformations. AST Transformations provide a wonderful way of manipulating code at compile time via modifications of the Abstract Syntax Tree. You’ll see a basic but powerful example of what we can do with AST transformations.
Groovy is a dynamic language that provides different types of metaprogramming techniques. In this talk we'll mainly see Runtime Metaprogramming.
In this talk you'll understand the Groovy Meta-Object-Protocol (MOP), the metaclass, how to intercept method calls, how to deal with method missing and property missing, the use of mixins, traits and categories. All of these topics will be explained with examples in order to understand them.
Groovy is a dynamic language that provides different types of metaprogramming techniques. In this talk we’ll mainly see runtime metaprogramming. You’ll understand the Groovy Meta-Object-Protocol (MOP), the metaclass, how to intercept method calls, how to deal with method missing and property missing, the use of mixins, traits and categories. All of these topics will be explained with examples in order to understand them.
Also, you’ll see a little bit about compile-time metaprogramming with AST Transformations. AST Transformations provide a wonderful way of manipulating code at compile time via modifications of the Abstract Syntax Tree. You’ll see a basic but powerful example of what we can do with AST transformations.
Programmers naturally assume that different programs require different code. Minesweeper is not the same as AES, Windows is not the same as Linux, and Notepad is not the same as malware. But what if this were not the case? We'll walk through how we can convert all programs into the exact same code - allowing the CPU to execute the same sequence of instructions, to run any possible application. By fundamentally changing our ideas about what it means to "compute", we'll outline the unsettling implications for malware detection, and open some fascinating new doors in exploitation.
Greach 2015 AST – Groovy Transformers: More than meets the eye!Iván López Martín
Slides for my Greach 2015 talk: http://greachconf.com/speakers/ivan-lopez-ast-groovy-transformers-more-than-meets-the-eye/
The source code is: https://github.com/lmivan/greach2015
Groovy is a great language with extremely powerful capabilities about compile time meta-programming. Do you know that provides more than 40 AST transformations out-of-the box just to make your life as a developer easier?
In this talk you will learn the most important transformations provided by Groovy. I’ll use a lot of code examples to explain all the concepts.
The containers and particularly Docker have been one of the buzzwords of the last years, but do they offer what they promise?
In this talk will see a very quick an basic Docker 101 introduction and then will see how we can take advantages of all its features for developing and deploying our Grails applications.
Codemotion Madrid 2014 - Spring ha muerto... ¡larga vida a spring boot!Iván López Martín
Slides de mi charla de Codemotion 2014: "Spring ha muerto... ¡Larga vida a Spring Boot!"
El codigo está disponible en: https://github.com/lmivan/codemotion-madrid-2014-examples
--------------
Actualmente se necesita un tiempo nada despreciable para configurar la arquitectura de tu aplicación y empezar a desarrollar. Y si hablamos de Spring esto pueden ser horas o incluso días...
¿Qué tal si tardases menos de 5 minutos?
Spring Boot permite de manera fácil y rápida la creación de aplicaciones basadas en Spring Framework eliminando toda la configuración XML. No se trata de generación de código sino que proporciona configuraciones por defecto a la vez que permite de manera muy sencilla sobreescribir estas configuraciones según nuestras necesidades. Con él podemos crear aplicaciones "production-ready" proporcionando adicionalmente y de manera automática métricas, health-checks y configuración externalizada.
En la charla verás, entre otros, ejemplos introductorios, la creación de un pequeño API Rest, el uso de Websockets... y ¡muchos más!
Todos los ejemplos que verás estarán escritos en Groovy, pero eso no te impedirá sacar todo el provecho a la charla aunque tu lenguaje favorito sea Java o Scala.
Groovy is a dynamic language that provides different types of metaprogramming techniques. In this talk we’ll mainly see runtime metaprogramming. You’ll understand the Groovy Meta-Object-Protocol (MOP), the metaclass, how to intercept method calls, how to deal with method missing and property missing, the use of mixins, traits and categories. All of these topics will be explained with examples in order to understand them.
Also, you’ll see a little bit about compile-time metaprogramming with AST Transformations. AST Transformations provide a wonderful way of manipulating code at compile time via modifications of the Abstract Syntax Tree. You’ll see a basic but powerful example of what we can do with AST transformations.
Es 2024 y ya hemos dado por sentado que testear nuestras aplicaciones es esencial. Escribimos test unitarios sin problemas, pero, ¿qué ocurre con los tests de integración? ¿Cómo podemos testear con seguridad los diferentes servicios que utilizamos en nuestras aplicaciones Spring? Testcontainers se integra de manera sencilla y transparente con Spring Boot para ofrecer una experiencia similar a los tests unitarios pero escribiendo tests de integración con servicios reales ejecutados en contenedores: Kafka, Postgresql, MySql, Elasticsearch y cualquier cosa que se pueda ejecutar en Docker.
En esta charla aprenderás cómo utilizar Testcontainers en tus tests de Spring Boot sin sacrificar la velocidad en tu ciclo de desarrollo y aprovechar todo el potencial que ofrece.
More Related Content
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Es 2024 y ya hemos dado por sentado que testear nuestras aplicaciones es esencial. Escribimos test unitarios sin problemas, pero, ¿qué ocurre con los tests de integración? ¿Cómo podemos testear con seguridad los diferentes servicios que utilizamos en nuestras aplicaciones Spring? Testcontainers se integra de manera sencilla y transparente con Spring Boot para ofrecer una experiencia similar a los tests unitarios pero escribiendo tests de integración con servicios reales ejecutados en contenedores: Kafka, Postgresql, MySql, Elasticsearch y cualquier cosa que se pueda ejecutar en Docker.
En esta charla aprenderás cómo utilizar Testcontainers en tus tests de Spring Boot sin sacrificar la velocidad en tu ciclo de desarrollo y aprovechar todo el potencial que ofrece.
Voxxed Days CERN 2024 - Spring Boot <3 Testcontainers.pdfIván López Martín
In 2024, we all agree that testing our applications is essential. We write unit tests without any trouble, but what about integration tests? How can we test the different services we use in our Spring applications in a safe and reliable way?
Testcontainers integrates seamlessly and transparently with Spring Boot to offer a unit testing-like experience, but with integration tests that use real services running in containers: Kafka, Postgresql, MySql, Elasticsearch, and anything else that can be run in Docker.
In this talk, you will learn how to use Testcontainers in your Spring Boot tests without compromising the speed of your development cycle and leveraging all the potential it offers
Es 2023 y ya hemos dado por sentado que tenemos que testear nuestras aplicaciones. Escribimos test unitarios sin problemas y somos relativamente felices.
Pero ¿qué ocurre con los tests de integración? ¿Cómo podemos testear con seguridad los diferentes servicios que utilizamos en nuestras aplicaciones Spring?
Testcontainers se integra de manera sencilla y transparente con Spring Boot para ofrecer una experiencia similar a los tests unitarios pero escribiendo tests de integración con servicios reales ejecutados en contenedores: Kafka, Postgresql, MySql, Elasticsearch y cualquier cosa que se pueda ejecutar en Docker.
En esta charla aprenderás cómo utilizar Testcontainers en tus tests de Spring Boot sin sacrificar la velocidad en tu ciclo de desarrollo y aprovechar todo el potencial que ofrece.
Spring IO 2023 - Dynamic OpenAPIs with Spring Cloud GatewayIván López Martín
Imagine this scenario. You follow an OpenAPI-first approach when designing your services. You have a distributed architecture with multiple services and all of them expose a RESTful API and have their OpenAPI Specification. Now you use Spring Cloud Gateway in front of them so you can route the requests to the appropriate service and apply cross-cutting concerns. But, what happens with the OpenAPI of every service? It would be great if you could generate a unique OpenAPI for the whole system in the Gateway. You could also expose and transform only selected endpoints when defining them as public. And what about the routes? You would like to reconfigure them dynamically and on-the-fly in the Gateway when there is a change in a service, right?
Stop imagining. In this talk, I will show you how we have done that in our product and how we are leveraging the programmatic Spring Cloud Gateway API to reconfigure the routes on the fly. You will also see it in action during the demo!
Codemotion Madrid 2023 - Testcontainers y Spring BootIván López Martín
Es 2023 y ya hemos dado por sentado que tenemos que testear nuestras aplicaciones. Escribimos test unitarios sin problemas y somos relativamente felices.
Pero ¿qué ocurre con los tests de integración? ¿Cómo podemos testear con seguridad los diferentes servicios que utilizamos en nuestras aplicaciones Spring?
Testcontainers se integra de manera sencilla y transparente con Spring Boot para ofrecer una experiencia similar a los tests unitarios pero escribiendo tests de integración con servicios reales ejecutados en contenedores: Kafka, Postgresql, MySql, Elasticsearch y cualquier cosa que se pueda ejecutar en Docker.
En esta charla aprenderás cómo utilizar Testcontainers en tus tests de Spring Boot sin sacrificar la velocidad en tu ciclo de desarrollo y aprovechar todo el potencial que ofrece.
CommitConf 2023 - Spring Framework 6 y Spring Boot 3Iván López Martín
Spring Framework 6 es la base de la nueva generación del ecosistema Spring con la mirada puesta en 2023 y más allá. Spring Framework 6 requiere Java 17 e introduce soporte de primer nivel de Ahead of Time (AoT) e imágenes nativas de GraalVM.
Por otro lado Spring Boot 3 es la nueva versión del framework que se aprovecha de todas las ventajas y novedades de Spring 6 para hacer más fácil y sencillo desarrollar nuestras aplicaciones Java.
En esta charla veremos las principales novedades tanto de Spring Framework 6 como Spring Boot 3 como el nuevo cliente HTTP pero nos centraremos sobre todo en el uso de AOT y GraalVM. ¡Además tendremos la posibilidad de verlo en acción!
¿Quieres aprender cómo desarrollar un API REST con Spring Boot? ¿Que acceda a base de datos? ¿Que esté listo para desplegar en producción? ¿Y qué me dices de GraalVM? ¿Quieres ver como tu aplicación construida como imagen nativa arranca en unos pocos milisegundos?
En esta charla verás todo eso y mucho más sin usar slides, sólo el IDE para desarrollar la aplicación en menos de 50 minutos.
jLove 2020 - Micronaut and graalvm: The power of AoTIván López Martín
Micronaut is a reflection-free app-development framework that uses ahead-of-time (AoT) compilation to precompute everything in the application, paving the way for lightning-fast startup times and significantly reduced memory consumption. What if I told you that you can reduce the startup time by orders of magnitude? And what if you could reduce memory consumption even more?
GraalVM is a new universal virtual machine from Oracle that supports a polyglot runtime environment. GraalVM has the ability to compile Java applications down to native machine code, making it an ideal partner for Micronaut.
In this talk you will learn how you can take advantage of GraalVM's powerful capabilities to convert your Micronaut applications to run as binary native images.
Aunque la JVM está diseñada para tener un rendimiento óptimo en procesos de larga ejecución, frameworks como Micronaut han conseguido que podamos construir aplicaciones JVM y desplegarlas en entornos como AWS Lambda.
En esta charla veremos cómo funciona la integración de Micronaut y AWS Lambda y cómo podemos desplegar nuestras aplicaciones Micronaut. Además aprenderemos cómo utilizar GraalVM y los custom-runtimes de AWS para mejorar enormemente los tiempos de arranque y el consumo de memoria.
Micronaut es un nuevo framework de la JVM para desarrollar microservicios modulares y muy fácilmente testeables en Java, Kotlin y Groovy.
Es esta sesión de live-coding verás qué fácil es empezar a desarrollar tus aplicaciones cloud-native con Micronaut. Aprenderás cómo funciona el soporte reactive, a testear las aplicaciones, el cliente http, service discovery y el soporte para GraalVM.
Micronaut es un framework para microservicios de la JVM que utiliza ahead-of-time (AoT) compilation en lugar de reflection. GraalVM es una nueva máquina virtual de Oracle que tiene la habilidad de compilar las aplicaciones Java a binarios nativos, haciendo que sea el compañero ideal de Micronaut. Con ambos el arranque de las aplicaciones es extremadamente rápido y el consumo de memoria muy pequeño.
En esta charla aprenderás cómo sacar provecho a GraalVM en tus aplicaciones Micronaut convirtiéndolas a aplicaciones nativas y cómo funciona la integración de ambos frameworks.
Micronaut es un framework para microservicios de la JVM que utiliza ahead-of-time (AoT) compilation en lugar de reflection. GraalVM es una nueva máquina virtual de Oracle que tiene la habilidad de compilar las aplicaciones Java a binarios nativos, haciendo que sea el compañero ideal de Micronaut. Con ambos el arranque de las aplicaciones es extremadamente rápido y el consumo de memoria muy pequeño.
En esta charla aprenderás cómo sacar provecho a GraalVM en tus aplicaciones Micronaut convirtiéndolas a aplicaciones nativas y cómo funciona la integración de ambos frameworks.
Developing Micronaut Applications With IntelliJ IDEAIván López Martín
This session covers:
- How to create Micronaut applications with different options and features directly from the IDE.
- Configuring auto-completion.
- Auto-discovery of controller endpoints.
- HTTP client.
CommitConf 2019 - Micronaut y GraalVm: La combinación perfectaIván López Martín
Micronaut es un framework para microservicios en la JVM que no utiliza reflection y pre-calcula todo lo necesario para el funcionamiento de las aplicaciones ahead-of-time (AoT) durante la compilación. De esta forma consigue que las aplicaciones arranquen extremadamente rápido y que consuman muy poca memoria.
¿Qué pasaría si te dijera que puedes reducir el tiempo de arranque en órdenes de magnitud? ¿Y si pudieras reducir aún más el consumo de memoria?
GraalVM es una nueva máquina virtual de Oracle que soporta muchos lenguajes en runtime. Además GraalVM tiene la habilidad de compilar las aplicaciones Java a binarios nativos, haciendo que sea el compañero ideal de Micronaut. En esta charla aprenderás cómo funciona GraalVM y cómo puedes aprovechar toda su potencia para convertir tus aplicaciones Micronaut a binarios nativos.
Codemotion Madrid 2019 - ¡GraalVM y Micronaut: compañeros perfectos!Iván López Martín
Micronaut es un framework para microservicios de la JVM que utiliza ahead-of-time (AoT) compilation en lugar de reflection. GraalVM es una nueva máquina virtual de Oracle que tiene la habilidad de compilar las aplicaciones Java a binarios nativos, haciendo que sea el compañero ideal de Micronaut. Con ambos el arranque de las aplicaciones es extremadamente rápido y el consumo de memoria muy pequeño. En esta charla aprenderás cómo sacar provecho a GraalVM en tus aplicaciones Micronaut convirtiéndolas a aplicaciones nativas y cómo funciona la integración de ambos frameworks.
Micronaut provides out-of-the-box integrations with a lot of tools and third-party libraries: Consul, Eureka, Hibernate, Kafka, Mongo, Micrometer, Zipkin, Hystrix, Swagger,... But sometimes this is not enough and you need to integrate with a new one.
In this talk, we will discuss the different options that we have to create a new configuration for Micronaut: bean factories, conditional beans, configuration properties,... and you will learn how to make the most out of it.
Alexa, Siri, Cortana, Google Assistant … voice assistants are in fashion and have come to stay. With them it is possible to do many actions that a few years ago seemed like science fiction: controlling the lights of the house, listening to our favorite music, knowing the weather tomorrow,… controlling everything with our voice!
In this talk we will talk about Amazon Echo and Alexa. You will learn how easy it is to develop new skills and deploy them to AWS Lambda without spending a euro.
I’ll bring an Echo Dot to the talk to show you the fun things you can do with it. I’m pretty sure that after this talk you can’t wait to have one!
Micronaut is a new JVM-based, full-stack framework for building modular, easily testable microservice applications with Java, Kotlin, and Groovy.
In this live-coding session, you will see how fast you can start developing “natively” cloud-native microservices with Micronaut. You will learn about the reactive support, testing, http-client, service discovery, fallback, and GraalVM support.
CrossDvlup Madrid 2019 - Alexa, encantado de conocerteIván López Martín
Alexa, Siri, Cortana, Google Assistant,... los asistentes de voz están de moda y han llegado para quedarse. Con ellos es posible realizar muchas acciones que hace unos años parecían ciencia ficción: controlar las luces de casa, escuchar nuestra música favorita, conocer el tiempo que hará mañana... controlando todo con ¡nuestra voz!
En esta charla hablaremos de Amazon Echo y su asistente Alexa y aprenderás lo fácil que es desarrollar nuevos skills y desplegarlos en AWS Lambda sin gastar un euro y de una manera muy fácil y sencilla. Llevaré un Echo a la charla para mostrar las cosas divertidas que puedes hacer con él.
¡Seguro que después de esta charla no podrás esperar a tener uno!
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
3. ▷ 1st
rule: You DO talk about the
London-GGUG
▷ 2nd
rule: If it's your first London-
GGUG you HAVE to talk
▷3rd
rule: You have to be awesome
(by David Dawson)
London-GGUG rules
4. Groovy is dynamic
▷ “Delay” to runtime some decisions
▷ Add properties/behaviours in
runtime
▷ Wide range of applicability
8. Runtime metaprogramming
▷ Groovy provides this through Meta-
Object Protocol (MOP)
▷ Use MOP to:
– Invoke methods dynamically
– Synthesize classes and methods on
the fly
9. What is the Meta Object Protocol?
Groovy
Groovy
Java
Java
MOP
12. MOP Method Injection
▷ Injecting methods at code-writing time
▷ We can “open” a class any time
▷ Different techniques:
– MetaClass
– Categories
– Extensions
– Mixins vs Traits
13. class StringUtils {
static String truncate(String text, Integer length, Boolean overflow = false) {
text.take(length) + (overflow ? '...' : '')
}
}
String chuckIpsum = "If you can see Chuck Norris, he can see you.
If you can not see Chuck Norris you may be only seconds away from death"
println StringUtils.truncate(chuckIpsum, 72)
println StringUtils.truncate(chuckIpsum, 72, true)
// Execution
If you can see Chuck Norris, he can see you. If you can not see Chuck No
If you can see Chuck Norris, he can see you. If you can not see Chuck No...
String.metaClass.truncate = { Integer length, Boolean overflow = false ->
delegate.take(length) + (overflow ? '...' : '')
}
assert chuckIpsum.truncate(72, true) == StringUtils.truncate(chuckIpsum, 72, true)
Adding methods using MetaClass
14. class StringUtils {
static String truncate(String text, Integer length, Boolean overflow = false) {
text.take(length) + (overflow ? '...' : '')
}
}
String chuckIpsum = "If you can see Chuck Norris, he can see you.
If you can not see Chuck Norris you may be only seconds away from death"
println StringUtils.truncate(chuckIpsum, 72)
println StringUtils.truncate(chuckIpsum, 72, true)
// Execution
If you can see Chuck Norris, he can see you. If you can not see Chuck No
If you can see Chuck Norris, he can see you. If you can not see Chuck No...
String.metaClass.truncate = { Integer length, Boolean overflow = false ->
delegate.take(length) + (overflow ? '...' : '')
}
assert chuckIpsum.truncate(72, true) == StringUtils.truncate(chuckIpsum, 72, true)
Adding methods using MetaClass
15. class StringUtils {
static String truncate(String text, Integer length, Boolean overflow = false) {
text.take(length) + (overflow ? '...' : '')
}
}
String chuckIpsum = "If you can see Chuck Norris, he can see you.
If you can not see Chuck Norris you may be only seconds away from death"
println StringUtils.truncate(chuckIpsum, 72)
println StringUtils.truncate(chuckIpsum, 72, true)
// Execution
If you can see Chuck Norris, he can see you. If you can not see Chuck No
If you can see Chuck Norris, he can see you. If you can not see Chuck No...
String.metaClass.truncate = { Integer length, Boolean overflow = false ->
delegate.take(length) + (overflow ? '...' : '')
}
assert chuckIpsum.truncate(72, true) == StringUtils.truncate(chuckIpsum, 72, true)
Adding methods using MetaClass
16. class StringUtils {
static String truncate(String text, Integer length, Boolean overflow = false) {
text.take(length) + (overflow ? '...' : '')
}
}
String chuckIpsum = "If you can see Chuck Norris, he can see you.
If you can not see Chuck Norris you may be only seconds away from death"
println StringUtils.truncate(chuckIpsum, 72)
println StringUtils.truncate(chuckIpsum, 72, true)
// Execution
If you can see Chuck Norris, he can see you. If you can not see Chuck No
If you can see Chuck Norris, he can see you. If you can not see Chuck No...
String.metaClass.truncate = { Integer length, Boolean overflow = false ->
delegate.take(length) + (overflow ? '...' : '')
}
assert chuckIpsum.truncate(72, true) == StringUtils.truncate(chuckIpsum, 72, true)
Adding methods using MetaClass
17. class StringUtils {
static String truncate(String text, Integer length, Boolean overflow = false) {
text.take(length) + (overflow ? '...' : '')
}
}
String chuckIpsum = "If you can see Chuck Norris, he can see you.
If you can not see Chuck Norris you may be only seconds away from death"
println StringUtils.truncate(chuckIpsum, 72)
println StringUtils.truncate(chuckIpsum, 72, true)
// Execution
If you can see Chuck Norris, he can see you. If you can not see Chuck No
If you can see Chuck Norris, he can see you. If you can not see Chuck No...
String.metaClass.truncate = { Integer length, Boolean overflow = false ->
delegate.take(length) + (overflow ? '...' : '')
}
assert chuckIpsum.truncate(72, true) == StringUtils.truncate(chuckIpsum, 72, true)
Adding methods using MetaClass
18. class StringUtils {
static String truncate(String text, Integer length, Boolean overflow = false) {
text.take(length) + (overflow ? '...' : '')
}
}
String chuckIpsum = "If you can see Chuck Norris, he can see you.
If you can not see Chuck Norris you may be only seconds away from death"
println StringUtils.truncate(chuckIpsum, 72)
println StringUtils.truncate(chuckIpsum, 72, true)
// Execution
If you can see Chuck Norris, he can see you. If you can not see Chuck No
If you can see Chuck Norris, he can see you. If you can not see Chuck No...
String.metaClass.truncate = { Integer length, Boolean overflow = false ->
delegate.take(length) + (overflow ? '...' : '')
}
assert chuckIpsum.truncate(72, true) == StringUtils.truncate(chuckIpsum, 72, true)
Adding methods using MetaClass
19. class Utils {
}
def utilsInstance = new Utils()
Utils.metaClass.version = "3.0"
utilsInstance.metaClass.released = true
assert utilsInstance.version == "3.0"
assert utilsInstance.released == true
Adding properties using MetaClass
20. Adding properties using MetaClass
class Utils {
}
def utilsInstance = new Utils()
Utils.metaClass.version = "3.0"
utilsInstance.metaClass.released = true
assert utilsInstance.version == "3.0"
assert utilsInstance.released == true
21. class Utils {
}
def utilsInstance = new Utils()
Utils.metaClass.version = "3.0"
utilsInstance.metaClass.released = true
assert utilsInstance.version == "3.0"
assert utilsInstance.released == true
Adding properties using MetaClass
22. class Utils {
}
def utilsInstance = new Utils()
Utils.metaClass.version = "3.0"
utilsInstance.metaClass.released = true
assert utilsInstance.version == "3.0"
assert utilsInstance.released == true
Adding properties using MetaClass
23. // Integer
assert '42' == 42.toString()
Integer.metaClass.toString = {
delegate == 42 ?
'The answer to life, the universe and everything' :
String.valueOf(delegate)
}
assert 42.toString() == 'The answer to life, the universe and everything'
assert 100.toString() == '100'
// Boolean
assert false.toBoolean() == false
Boolean.metaClass.toBoolean = { !delegate }
assert false.toBoolean() == true
Overriding methods using MetaClass
24. // Integer
assert '42' == 42.toString()
Integer.metaClass.toString = {
delegate == 42 ?
'The answer to life, the universe and everything' :
String.valueOf(delegate)
}
assert 42.toString() == 'The answer to life, the universe and everything'
assert 100.toString() == '100'
// Boolean
assert false.toBoolean() == false
Boolean.metaClass.toBoolean = { !delegate }
assert false.toBoolean() == true
Overriding methods using MetaClass
25. // Integer
assert '42' == 42.toString()
Integer.metaClass.toString = {
delegate == 42 ?
'The answer to life, the universe and everything' :
String.valueOf(delegate)
}
assert 42.toString() == 'The answer to life, the universe and everything'
assert 100.toString() == '100'
// Boolean
assert false.toBoolean() == false
Boolean.metaClass.toBoolean = { !delegate }
assert false.toBoolean() == true
Overriding methods using MetaClass
26. // Integer
assert '42' == 42.toString()
Integer.metaClass.toString = {
delegate == 42 ?
'The answer to life, the universe and everything' :
String.valueOf(delegate)
}
assert 42.toString() == 'The answer to life, the universe and everything'
assert 100.toString() == '100'
// Boolean
assert false.toBoolean() == false
Boolean.metaClass.toBoolean = { !delegate }
assert false.toBoolean() == true
Overriding methods using MetaClass
27. // Integer
assert '42' == 42.toString()
Integer.metaClass.toString = {
delegate == 42 ?
'The answer to life, the universe and everything' :
String.valueOf(delegate)
}
assert 42.toString() == 'The answer to life, the universe and everything'
assert 100.toString() == '100'
// Boolean
assert false.toBoolean() == false
Boolean.metaClass.toBoolean = { !delegate }
assert false.toBoolean() == true
Overriding methods using MetaClass
28. // Integer
assert '42' == 42.toString()
Integer.metaClass.toString = {
delegate == 42 ?
'The answer to life, the universe and everything' :
String.valueOf(delegate)
}
assert 42.toString() == 'The answer to life, the universe and everything'
assert 100.toString() == '100'
// Boolean
assert false.toBoolean() == false
Boolean.metaClass.toBoolean = { !delegate }
assert false.toBoolean() == true
Overriding methods using MetaClass
42. Mixins
▷ “Bring in” or “mix in” implementations
from multiple classes
▷ Calls first routed to mixed-in class
▷ Last mixin wins
▷ Not easily un-done
43. class SpidermanPower {
String spiderSense() {
"Using spider-sense..."
}
}
Mixins example
@Mixin([SpidermanPower])
class Person {}
def person = new Person()
assert person.spiderSense() == "Using spider-sense..."
assert !(person instanceof SpidermanPower)
Person.mixin SupermanPower
assert person.fly() == "Flying..."
assert !(person instanceof SupermanPower)
class SupermanPower {
String fly() {
"Flying..."
}
}
44. @Mixin([SpidermanPower])
class Person {}
def person = new Person()
assert person.spiderSense() == "Using spider-sense..."
assert !(person instanceof SpidermanPower)
Person.mixin SupermanPower
assert person.fly() == "Flying..."
assert !(person instanceof SupermanPower)
class SupermanPower {
String fly() {
"Flying..."
}
}
class SpidermanPower {
String spiderSense() {
"Using spider-sense..."
}
}
Mixins example
45. @Mixin([SpidermanPower])
class Person {}
def person = new Person()
assert person.spiderSense() == "Using spider-sense..."
assert !(person instanceof SpidermanPower)
Person.mixin SupermanPower
assert person.fly() == "Flying..."
assert !(person instanceof SupermanPower)
class SupermanPower {
String fly() {
"Flying..."
}
}
class SpidermanPower {
String spiderSense() {
"Using spider-sense..."
}
}
Mixins example
46. @Mixin([SpidermanPower])
class Person {}
def person = new Person()
assert person.spiderSense() == "Using spider-sense..."
assert !(person instanceof SpidermanPower)
Person.mixin SupermanPower
assert person.fly() == "Flying..."
assert !(person instanceof SupermanPower)
class SupermanPower {
String fly() {
"Flying..."
}
}
class SpidermanPower {
String spiderSense() {
"Using spider-sense..."
}
}
Mixins example
47. @Mixin([SpidermanPower])
class Person {}
def person = new Person()
assert person.spiderSense() == "Using spider-sense..."
assert !(person instanceof SpidermanPower)
Person.mixin SupermanPower
assert person.fly() == "Flying..."
assert !(person instanceof SupermanPower)
class SpidermanPower {
String spiderSense() {
"Using spider-sense..."
}
}
Mixins example
class SupermanPower {
String fly() {
"Flying..."
}
}
48. @Mixin([SpidermanPower])
class Person {}
def person = new Person()
assert person.spiderSense() == "Using spider-sense..."
assert !(person instanceof SpidermanPower)
Person.mixin SupermanPower
assert person.fly() == "Flying..."
assert !(person instanceof SupermanPower)
class SpidermanPower {
String spiderSense() {
"Using spider-sense..."
}
}
Mixins example
class SupermanPower {
String fly() {
"Flying..."
}
}
49. “When we started fixing mixin bugs we didn't know
if they were a bug or a feature, so we removed
mixins and add traits.
- Jochen Theodorou
(Greach 2015 Opening Keynote)
50. Traits
▷ Groovy 2.3+
▷ Similar to Java 8 default methods
▷ Supported in JDK 6, 7 and 8
▷ Stateful
▷ Composition over inheritance
▷ Documentation
51. class Person implements SpidermanPower {}
def person = new Person()
assert person.spiderSense() == "Using spider-sense..."
assert person instanceof SpidermanPower
def person2 = person.withTraits SupermanPower
assert person2.fly() == "Flying..."
assert person2 instanceof SupermanPower
Traits example
trait SpidermanPower {
String spiderSense() {
"Using spider-sense..."
}
}
trait SupermanPower {
String fly() {
"Flying..."
}
}
52. class Person implements SpidermanPower {}
def person = new Person()
assert person.spiderSense() == "Using spider-sense..."
assert person instanceof SpidermanPower
def person2 = person.withTraits SupermanPower
assert person2.fly() == "Flying..."
assert person2 instanceof SupermanPower
Traits example
trait SpidermanPower {
String spiderSense() {
"Using spider-sense..."
}
}
trait SupermanPower {
String fly() {
"Flying..."
}
}
53. class Person implements SpidermanPower {}
def person = new Person()
assert person.spiderSense() == "Using spider-sense..."
assert person instanceof SpidermanPower
def person2 = person.withTraits SupermanPower
assert person2.fly() == "Flying..."
assert person2 instanceof SupermanPower
Traits example
trait SpidermanPower {
String spiderSense() {
"Using spider-sense..."
}
}
trait SupermanPower {
String fly() {
"Flying..."
}
}
54. class Person implements SpidermanPower {}
def person = new Person()
assert person.spiderSense() == "Using spider-sense..."
assert person instanceof SpidermanPower
def person2 = person.withTraits SupermanPower
assert person2.fly() == "Flying..."
assert person2 instanceof SupermanPower
Traits example
trait SpidermanPower {
String spiderSense() {
"Using spider-sense..."
}
}
trait SupermanPower {
String fly() {
"Flying..."
}
}
56. MOP Method Synthesis
▷ Dynamically figure out behaviour upon
invocation
▷ It may not exist until it's called/executed
▷ “Intercept, Cache, Invoke” pattern
57. def p = new Person(name: 'Iván', age: 34)
assert p.respondsTo('sayHi')
assert p.respondsTo('sayHiTo', String)
assert !p.respondsTo('goodbye')
assert p.hasProperty('name')
assert !p.hasProperty('country')
Check for methods and properties
class Person {
String name
Integer age
String sayHi() {
"Hi, my name is ${name} and I'm ${age}"
}
String sayHiTo(String name) {
"Hi ${name}, how are you?"
}
}
58. def p = new Person(name: 'Iván', age: 35)
assert p.respondsTo('sayHi')
assert p.respondsTo('sayHiTo', String)
assert !p.respondsTo('goodbye')
assert p.hasProperty('age')
assert !p.hasProperty('country')
Check for methods and properties
class Person {
String name
Integer age
String sayHi() {
"Hi, my name is ${name} and I'm ${age}"
}
String sayHiTo(String name) {
"Hi ${name}, how are you?"
}
}
59. Check for methods and properties
class Person {
String name
Integer age
String sayHi() {
"Hi, my name is ${name} and I'm ${age}"
}
String sayHiTo(String name) {
"Hi ${name}, how are you?"
}
}
def p = new Person(name: 'Iván', age: 35)
assert p.respondsTo('sayHi')
assert p.respondsTo('sayHiTo', String)
assert !p.respondsTo('goodbye')
assert p.hasProperty('age')
assert !p.hasProperty('country')
60. Check for methods and properties
class Person {
String name
Integer age
String sayHi() {
"Hi, my name is ${name} and I'm ${age}"
}
String sayHiTo(String name) {
"Hi ${name}, how are you?"
}
}
def p = new Person(name: 'Iván', age: 35)
assert p.respondsTo('sayHi')
assert p.respondsTo('sayHiTo', String)
assert !p.respondsTo('goodbye')
assert p.hasProperty('age')
assert !p.hasProperty('country')
61. MethodMissing example
▷ Requirements:
– Send notifications to users by different
channels
– +50 notifications
– Not all notifications by all channels
– Extensible and open to future
modifications
62. MethodMissing example
abstract class Channel {
void sendNewFollower(String username, String follower) { }
void sendNewMessage(String username, String msg) { }
...
}
class EmailChannel extends Channel {
void sendNewFollower(String username, String follower) {
println "Sending email notification to '${username}' for new follower '${follower}'"
}
void sendNewMessage(String username, String msg) {
println "Sending email notification to '${username}' for new message '${msg}'"
}
}
class MobilePushChannel extends Channel {
void sendNewFollower(String username, String follower) {
println "Sending mobile push notification to '${username}' for new follower '${follower}'"
}
}
63. MethodMissing example
abstract class Channel {
void sendNewFollower(String username, String follower) { }
void sendNewMessage(String username, String msg) { }
...
}
class EmailChannel extends Channel {
void sendNewFollower(String username, String follower) {
println "Sending email notification to '${username}' for new follower '${follower}'"
}
void sendNewMessage(String username, String msg) {
println "Sending email notification to '${username}' for new message '${msg}'"
}
}
class MobilePushChannel extends Channel {
void sendNewFollower(String username, String follower) {
println "Sending mobile push notification to '${username}' for new follower '${follower}'"
}
}
64. MethodMissing example
abstract class Channel {
void sendNewFollower(String username, String follower) { }
void sendNewMessage(String username, String msg) { }
...
}
class EmailChannel extends Channel {
void sendNewFollower(String username, String follower) {
println "Sending email notification to '${username}' for new follower '${follower}'"
}
void sendNewMessage(String username, String msg) {
println "Sending email notification to '${username}' for new message '${msg}'"
}
}
class MobilePushChannel extends Channel {
void sendNewFollower(String username, String follower) {
println "Sending mobile push notification to '${username}' for new follower '${follower}'"
}
}
65. MethodMissing example
abstract class Channel {
void sendNewFollower(String username, String follower) { }
void sendNewMessage(String username, String msg) { }
...
}
class EmailChannel extends Channel {
void sendNewFollower(String username, String follower) {
println "Sending email notification to '${username}' for new follower '${follower}'"
}
void sendNewMessage(String username, String msg) {
println "Sending email notification to '${username}' for new message '${msg}'"
}
}
class MobilePushChannel extends Channel {
void sendNewFollower(String username, String follower) {
println "Sending mobile push notification to '${username}' for new follower '${follower}'"
}
}
66. MethodMissing example
class NotificationService {
List channels = []
def methodMissing(String name, args) {
System.out.println "...methodMissing called for ${name} with args ${args}"
// Generate the implementation
def implementation = { Object[] methodArgs ->
channels.each { channel ->
def metaMethod = channel.metaClass.getMetaMethod(name, methodArgs)
return metaMethod.invoke(channel, methodArgs)
}
}
// Cache the implementation in the metaClass
NotificationService instance = this
instance.metaClass."$name" = implementation
// Execute it!
implementation(args)
}
}
67. MethodMissing example
class NotificationService {
List channels = []
def methodMissing(String name, args) {
System.out.println "...methodMissing called for ${name} with args ${args}"
// Generate the implementation
def implementation = { Object[] methodArgs ->
channels.each { channel ->
def metaMethod = channel.metaClass.getMetaMethod(name, methodArgs)
return metaMethod.invoke(channel, methodArgs)
}
}
// Cache the implementation in the metaClass
NotificationService instance = this
instance.metaClass."$name" = implementation
// Execute it!
implementation(args)
}
}
68. MethodMissing example
class NotificationService {
List channels = []
def methodMissing(String name, args) {
System.out.println "...methodMissing called for ${name} with args ${args}"
// Generate the implementation
def implementation = { Object[] methodArgs ->
channels.each { channel ->
def metaMethod = channel.metaClass.getMetaMethod(name, methodArgs)
return metaMethod.invoke(channel, methodArgs)
}
}
// Cache the implementation in the metaClass
NotificationService instance = this
instance.metaClass."$name" = implementation
// Execute it!
implementation(args)
}
}
notificationService.sendNewFollower(...)
notificationService.sendNewMessage(...)
69. MethodMissing example
class NotificationService {
List channels = []
def methodMissing(String name, args) {
System.out.println "...methodMissing called for ${name} with args ${args}"
// Generate the implementation
def implementation = { Object[] methodArgs ->
channels.each { channel ->
def metaMethod = channel.metaClass.getMetaMethod(name, methodArgs)
return metaMethod.invoke(channel, methodArgs)
}
}
// Cache the implementation in the metaClass
NotificationService instance = this
instance.metaClass."$name" = implementation
// Execute it!
implementation(args)
}
}
70. MethodMissing example
class NotificationService {
List channels = []
def methodMissing(String name, args) {
System.out.println "...methodMissing called for ${name} with args ${args}"
// Generate the implementation
def implementation = { Object[] methodArgs ->
channels.each { channel ->
def metaMethod = channel.metaClass.getMetaMethod(name, methodArgs)
return metaMethod.invoke(channel, methodArgs)
}
}
// Cache the implementation in the metaClass
NotificationService instance = this
instance.metaClass."$name" = implementation
// Execute it!
implementation(args)
}
}
71. MethodMissing example
// Execution
...methodMissing called for sendNewFollower with args [John, Peter]
Sending email notification to 'John' for new follower 'Peter'
Sending mobile push notification to 'John' for new follower 'Peter'
Sending email notification to 'Mary' for new follower 'Steve'
Sending mobile push notification to 'Mary' for new follower 'Steve'
...methodMissing called for sendNewMessage with args [Iván, Hello!]
Sending email notification to 'Iván' for new message 'Hello!'
def notificationService = new NotificationService(
channels: [new EmailChannel(), new MobilePushChannel()]
)
assert !notificationService.respondsTo('sendNewFollower', String, String)
notificationService.sendNewFollower("John", "Peter")
assert notificationService.respondsTo('sendNewFollower', String, String)
notificationService.sendNewFollower("Mary", "Steve")
notificationService.sendNewMessage("Iván", "Hello!")
72. MethodMissing example
// Execution
...methodMissing called for sendNewFollower with args [John, Peter]
Sending email notification to 'John' for new follower 'Peter'
Sending mobile push notification to 'John' for new follower 'Peter'
Sending email notification to 'Mary' for new follower 'Steve'
Sending mobile push notification to 'Mary' for new follower 'Steve'
...methodMissing called for sendNewMessage with args [Iván, Hello!]
Sending email notification to 'Iván' for new message 'Hello!'
def notificationService = new NotificationService(
channels: [new EmailChannel(), new MobilePushChannel()]
)
assert !notificationService.respondsTo('sendNewFollower', String, String)
notificationService.sendNewFollower("John", "Peter")
assert notificationService.respondsTo('sendNewFollower', String, String)
notificationService.sendNewFollower("Mary", "Steve")
notificationService.sendNewMessage("Iván", "Hello!")
73. MethodMissing example
// Execution
...methodMissing called for sendNewFollower with args [John, Peter]
Sending email notification to 'John' for new follower 'Peter'
Sending mobile push notification to 'John' for new follower 'Peter'
Sending email notification to 'Mary' for new follower 'Steve'
Sending mobile push notification to 'Mary' for new follower 'Steve'
...methodMissing called for sendNewMessage with args [Iván, Hello!]
Sending email notification to 'Iván' for new message 'Hello!'
def notificationService = new NotificationService(
channels: [new EmailChannel(), new MobilePushChannel()]
)
assert !notificationService.respondsTo('sendNewFollower', String, String)
notificationService.sendNewFollower("John", "Peter")
assert notificationService.respondsTo('sendNewFollower', String, String)
notificationService.sendNewFollower("Mary", "Steve")
notificationService.sendNewMessage("Iván", "Hello!")
74. MethodMissing example
// Execution
...methodMissing called for sendNewFollower with args [John, Peter]
Sending email notification to 'John' for new follower 'Peter'
Sending mobile push notification to 'John' for new follower 'Peter'
Sending email notification to 'Mary' for new follower 'Steve'
Sending mobile push notification to 'Mary' for new follower 'Steve'
...methodMissing called for sendNewMessage with args [Iván, Hello!]
Sending email notification to 'Iván' for new message 'Hello!'
def notificationService = new NotificationService(
channels: [new EmailChannel(), new MobilePushChannel()]
)
assert !notificationService.respondsTo('sendNewFollower', String, String)
notificationService.sendNewFollower("John", "Peter")
assert notificationService.respondsTo('sendNewFollower', String, String)
notificationService.sendNewFollower("Mary", "Steve")
notificationService.sendNewMessage("Iván", "Hello!")
75. MethodMissing example
// Execution
...methodMissing called for sendNewFollower with args [John, Peter]
Sending email notification to 'John' for new follower 'Peter'
Sending mobile push notification to 'John' for new follower 'Peter'
Sending email notification to 'Mary' for new follower 'Steve'
Sending mobile push notification to 'Mary' for new follower 'Steve'
...methodMissing called for sendNewMessage with args [Iván, Hello!]
Sending email notification to 'Iván' for new message 'Hello!'
def notificationService = new NotificationService(
channels: [new EmailChannel(), new MobilePushChannel()]
)
assert !notificationService.respondsTo('sendNewFollower', String, String)
notificationService.sendNewFollower("John", "Peter")
assert notificationService.respondsTo('sendNewFollower', String, String)
notificationService.sendNewFollower("Mary", "Steve")
notificationService.sendNewMessage("Iván", "Hello!")class EmailChannel extends Channel {
void sendNewFollower(String username, String follower) {…}
void sendNewMessage(String username, String msg) {…}
}
class MobilePushChannel extends Channel {
void sendNewFollower(String username, String follower) {…}
}
76. MethodMissing example
// Execution
...methodMissing called for sendNewFollower with args [John, Peter]
Sending email notification to 'John' for new follower 'Peter'
Sending mobile push notification to 'John' for new follower 'Peter'
Sending email notification to 'Mary' for new follower 'Steve'
Sending mobile push notification to 'Mary' for new follower 'Steve'
...methodMissing called for sendNewMessage with args [Iván, Hello!]
Sending email notification to 'Iván' for new message 'Hello!'
def notificationService = new NotificationService(
channels: [new EmailChannel(), new MobilePushChannel()]
)
assert !notificationService.respondsTo('sendNewFollower', String, String)
notificationService.sendNewFollower("John", "Peter")
assert notificationService.respondsTo('sendNewFollower', String, String)
notificationService.sendNewFollower("Mary", "Steve")
notificationService.sendNewMessage("Iván", "Hello!")
77. MethodMissing example
// Execution
...methodMissing called for sendNewFollower with args [John, Peter]
Sending email notification to 'John' for new follower 'Peter'
Sending mobile push notification to 'John' for new follower 'Peter'
Sending email notification to 'Mary' for new follower 'Steve'
Sending mobile push notification to 'Mary' for new follower 'Steve'
...methodMissing called for sendNewMessage with args [Iván, Hello!]
Sending email notification to 'Iván' for new message 'Hello!'
def notificationService = new NotificationService(
channels: [new EmailChannel(), new MobilePushChannel()]
)
assert !notificationService.respondsTo('sendNewFollower', String, String)
notificationService.sendNewFollower("John", "Peter")
assert notificationService.respondsTo('sendNewFollower', String, String)
notificationService.sendNewFollower("Mary", "Steve")
notificationService.sendNewMessage("Iván", "Hello!")
78. MethodMissing example
def notificationService = new NotificationService(
channels: [new EmailChannel(), new MobilePushChannel()]
)
assert !notificationService.respondsTo('sendNewFollower', String, String)
notificationService.sendNewFollower("John", "Peter")
assert notificationService.respondsTo('sendNewFollower', String, String)
notificationService.sendNewFollower("Mary", "Steve")
notificationService.sendNewMessage("Iván", "Hello!")
// Execution
...methodMissing called for sendNewFollower with args [John, Peter]
Sending email notification to 'John' for new follower 'Peter'
Sending mobile push notification to 'John' for new follower 'Peter'
Sending email notification to 'Mary' for new follower 'Steve'
Sending mobile push notification to 'Mary' for new follower 'Steve'
...methodMissing called for sendNewMessage with args [Iván, Hello!]
Sending email notification to 'Iván' for new message 'Hello!'
80. Let’s review some concepts
Metaprogramming
out-of-the box
Easy and very
powerful
Write better code
Add behaviour
easily
Take advantage of
this power
Because Groovy,
it's groovy