Groovy & Grails - From Scratch to Production Tal Maayani
Walk-through a true story of developing a Grails web application from the ground up. some tips and how to guides for those of you who want to start developing on Grails or are using Grails and would like to learn from other experience.
What the Gradle team have shipped since Gradle 3.0, featuring performance features like compile avoidance, user experience features like the Kotlin DSL, and brand new tools like the Java 9 support
The document discusses using Neo4J, a graph database, with Grails. It provides an overview of NoSQL databases and why graph databases are useful. It then discusses how to integrate Neo4J with Grails using the Neo4J plugin, including mapping domains to nodes and relationships. It provides examples of basic CRUD operations and advanced configurations like using embedded, REST, or high availability modes.
Tool chain to produce high performance DevOps. It covers whole lifecycle of Softwares, includes Continuous Integration, Deployment, Delivery, Monitoring, Feedback/Improvement
JHipster, modern web application development made easyRaphaël Brugier
The document discusses JHipster, an open source tool that generates complete and modern web applications using Spring Boot for the backend and AngularJS for the frontend. It provides an overview of JHipster's features like auto-wiring, best practices configuration, and options for NoSQL databases, Elasticsearch, caching, and deployment to Docker. The presentation includes a demo of using JHipster to quickly generate and deploy a sample web application.
This document provides an introduction to the Gradle build automation tool. It discusses Gradle's advantages over other build tools like Ant and Maven, including its use of Groovy build scripts, convention over configuration approach, and support for multi-project builds through a directed acyclic graph model. Key features of Gradle highlighted include its declarative build style, dependency management capabilities, build daemon for improved performance, and available plugins.
Groovy & Grails - From Scratch to Production Tal Maayani
Walk-through a true story of developing a Grails web application from the ground up. some tips and how to guides for those of you who want to start developing on Grails or are using Grails and would like to learn from other experience.
What the Gradle team have shipped since Gradle 3.0, featuring performance features like compile avoidance, user experience features like the Kotlin DSL, and brand new tools like the Java 9 support
The document discusses using Neo4J, a graph database, with Grails. It provides an overview of NoSQL databases and why graph databases are useful. It then discusses how to integrate Neo4J with Grails using the Neo4J plugin, including mapping domains to nodes and relationships. It provides examples of basic CRUD operations and advanced configurations like using embedded, REST, or high availability modes.
Tool chain to produce high performance DevOps. It covers whole lifecycle of Softwares, includes Continuous Integration, Deployment, Delivery, Monitoring, Feedback/Improvement
JHipster, modern web application development made easyRaphaël Brugier
The document discusses JHipster, an open source tool that generates complete and modern web applications using Spring Boot for the backend and AngularJS for the frontend. It provides an overview of JHipster's features like auto-wiring, best practices configuration, and options for NoSQL databases, Elasticsearch, caching, and deployment to Docker. The presentation includes a demo of using JHipster to quickly generate and deploy a sample web application.
This document provides an introduction to the Gradle build automation tool. It discusses Gradle's advantages over other build tools like Ant and Maven, including its use of Groovy build scripts, convention over configuration approach, and support for multi-project builds through a directed acyclic graph model. Key features of Gradle highlighted include its declarative build style, dependency management capabilities, build daemon for improved performance, and available plugins.
GraphQL is query language for APIs, but what are the advantages and how would one implement such in their microservices/APIs. In this session, I will go through the basics of GraphQL, different aspects of GraphQL and architecture of such APIs. There will be a demo/live-coding on, how 3 different ways we can implement GraphQL for a Springboot microservice/API. Lots of examples, live coding and helpful comparison on structure, usage and implementations of GraphQL in Springboot & Java world.
JHipster is a Yeoman generator that scaffolds Java web applications. It uses AngularJS for the front-end, Spring Boot for the back-end, and includes user authentication and authorization via Spring Security. JHipster provides sub-generators to easily create entities, services, and deploy the application to PaaS platforms like Heroku.
What is Gradle ?
Gradle History & Why need Gradle ?
What is Gradle Files and project structure ?
Android Build System & the build graphe .
Build diff build types
Product flavors.
Merging Resources.
Adding dependencies.
Automate Sign Configuration for apk.
APK split.
Writing Your Own Custom Tasks.
Performance Recommendations.
What is new in Gradle?
This document outlines an agenda for a presentation on Gradle. The presentation will include an introduction to Gradle highlighting its key features like being declarative, supporting multi-project builds, and being open source. It will then cover installing Gradle and running basic commands. The implementation section will discuss plugins for integrating with languages like Java, Groovy, and Scala as well as diagrams of dependency configurations and lifecycle tasks. It will conclude with time for questions.
This document summarizes and compares several GraphQL libraries for Java: graphql-java, graphql-java-kickstart, and dgs-framework. It discusses their features for defining schemas and types, handling data fetching and caching, performing mutations, handling errors, testing functionality, and code generation capabilities. Overall, dgs-framework requires the least amount of boilerplate code, supports testing and code generation more fully, and is designed specifically for use within Spring Boot applications.
GraphQL is a query language for APIs that allows flexible querying of data from a server. It was originally created by Facebook in 2012 and open sourced in 2015. Some key benefits of GraphQL include allowing apps to control the specific data received from servers instead of receiving all possible data like with REST APIs, and GraphQL queries mirroring the response structure. GraphQL schemas define query and mutation parameters as well as return data types.
This document discusses best practices for object-oriented Java design. It recommends learning design principles from books, conferences, and by analyzing code to see what works and doesn't work. Specific principles covered include the single responsibility principle, open/closed principle, Liskov substitution principle, interface segregation principle, and dependency inversion principle. Techniques demonstrated include using creation methods instead of constructors, replacing conditional logic with strategies, encapsulating classes with factories, and encapsulating composites with builders. The goal is to create well-designed, loosely coupled code that is easier to change and maintain.
This document discusses using Angular 4, Webpack, and Yarn in JHipster applications. It covers JHipster architecture options, migrating from AngularJS to Angular, using TypeScript, Angular routing, Webpack bundling, testing with Karma, and some tips for development. The document demonstrates setting up a sample application using JHipster and related tools.
The document discusses Google Web Toolkit (GWT), an open source framework that allows developers to build AJAX applications in Java and deploy them as optimized JavaScript and HTML. It provides an overview of GWT, describing its architecture, key benefits like better development tools and reusable UI components, and how to set up a basic GWT project. It also briefly showcases GWT's remote procedure call (RPC) feature.
10,000 microservices are generated each month using JHipster!
During this in-depth session by the two JHipster lead developers, we’ll detail:
How to develop and deploy microservices easily
Scalability and failover of microservices
The JHipster Registry for scaling, configuring and monitoring microservices
Common architecture patterns and pitfalls
This document discusses code driven development in Drupal. It recommends moving common site settings like entities, panels, roles and permissions, variables, and initial content to code using modules like Features. It outlines a workflow that uses local development environments, a Git repository, an integration environment, and build scripts. This allows deploying updates to production with one click by pulling code changes and running database updates. Benefits include fixing errors earlier, reduced bugfix time, simplified deployment, and minimizing human errors. Typical issues addressed are using consistent environments, code reviews, and managing the database across environments.
Devoxx : being productive with JHipsterJulien Dubois
Slides from the "being productive with JHipster" talk at Devoxx Belgium 2016 by Julien Dubois (JHipster lead) & Deepu K Sasidharan (JHipster co-lead).
Live video is at: https://www.youtube.com/watch?v=dzdjP3CPOCs
Code commited (live!) during the presentation is at:
https://github.com/jhipster/devoxx-2016
The document discusses test-driven development (TDD) and the model-view-controller (MVC) framework in Ruby on Rails. It mentions TDD, the Rails MVC structure with models, controllers and views, and how tests are written before code using techniques like RSpec.
[Srijan Wednesday Webinar] How to Run Stateless and Stateful Services on K8S ...Srijan Technologies
The document discusses Kubernetes operators and provides an overview of a Drupal operator called Druperator that is being developed by Srijan. It summarizes Kubernetes operators, how they automate application lifecycles on Kubernetes. It then discusses extending the Kubernetes control plane through custom resource definitions and controllers. Finally, it mentions that Druperator is a custom controller for managing the lifecycle of Drupal applications on Kubernetes.
Headless Drupal: A modern approach to (micro)services and APIssparkfabrik
Drupal offre agli sviluppatori un ambiente di lavoro moderno, che permette di modellare dati ed esporli via API nativamente; questo lo rende un ottimo candidato sia per sviluppare un CMS headless usando un frontend framework moderno, sia per lo sviluppo di microservizi.
In questo talk vi presenteremo alcuni casi d’uso per sfruttare al meglio le potenzialità di Drupal fuori dal classico contesto CMS.
Review Drupal.org infrastructure for developers:
- Contribution types.
- Detailed review of Issue life cycle.
- Patches and Review patches.
- First drupal.org commit.
GraphQL is query language for APIs, but what are the advantages and how would one implement such in their microservices/APIs. In this session, I will go through the basics of GraphQL, different aspects of GraphQL and architecture of such APIs. There will be a demo/live-coding on, how 3 different ways we can implement GraphQL for a Springboot microservice/API. Lots of examples, live coding and helpful comparison on structure, usage and implementations of GraphQL in Springboot & Java world.
JHipster is a Yeoman generator that scaffolds Java web applications. It uses AngularJS for the front-end, Spring Boot for the back-end, and includes user authentication and authorization via Spring Security. JHipster provides sub-generators to easily create entities, services, and deploy the application to PaaS platforms like Heroku.
What is Gradle ?
Gradle History & Why need Gradle ?
What is Gradle Files and project structure ?
Android Build System & the build graphe .
Build diff build types
Product flavors.
Merging Resources.
Adding dependencies.
Automate Sign Configuration for apk.
APK split.
Writing Your Own Custom Tasks.
Performance Recommendations.
What is new in Gradle?
This document outlines an agenda for a presentation on Gradle. The presentation will include an introduction to Gradle highlighting its key features like being declarative, supporting multi-project builds, and being open source. It will then cover installing Gradle and running basic commands. The implementation section will discuss plugins for integrating with languages like Java, Groovy, and Scala as well as diagrams of dependency configurations and lifecycle tasks. It will conclude with time for questions.
This document summarizes and compares several GraphQL libraries for Java: graphql-java, graphql-java-kickstart, and dgs-framework. It discusses their features for defining schemas and types, handling data fetching and caching, performing mutations, handling errors, testing functionality, and code generation capabilities. Overall, dgs-framework requires the least amount of boilerplate code, supports testing and code generation more fully, and is designed specifically for use within Spring Boot applications.
GraphQL is a query language for APIs that allows flexible querying of data from a server. It was originally created by Facebook in 2012 and open sourced in 2015. Some key benefits of GraphQL include allowing apps to control the specific data received from servers instead of receiving all possible data like with REST APIs, and GraphQL queries mirroring the response structure. GraphQL schemas define query and mutation parameters as well as return data types.
This document discusses best practices for object-oriented Java design. It recommends learning design principles from books, conferences, and by analyzing code to see what works and doesn't work. Specific principles covered include the single responsibility principle, open/closed principle, Liskov substitution principle, interface segregation principle, and dependency inversion principle. Techniques demonstrated include using creation methods instead of constructors, replacing conditional logic with strategies, encapsulating classes with factories, and encapsulating composites with builders. The goal is to create well-designed, loosely coupled code that is easier to change and maintain.
This document discusses using Angular 4, Webpack, and Yarn in JHipster applications. It covers JHipster architecture options, migrating from AngularJS to Angular, using TypeScript, Angular routing, Webpack bundling, testing with Karma, and some tips for development. The document demonstrates setting up a sample application using JHipster and related tools.
The document discusses Google Web Toolkit (GWT), an open source framework that allows developers to build AJAX applications in Java and deploy them as optimized JavaScript and HTML. It provides an overview of GWT, describing its architecture, key benefits like better development tools and reusable UI components, and how to set up a basic GWT project. It also briefly showcases GWT's remote procedure call (RPC) feature.
10,000 microservices are generated each month using JHipster!
During this in-depth session by the two JHipster lead developers, we’ll detail:
How to develop and deploy microservices easily
Scalability and failover of microservices
The JHipster Registry for scaling, configuring and monitoring microservices
Common architecture patterns and pitfalls
This document discusses code driven development in Drupal. It recommends moving common site settings like entities, panels, roles and permissions, variables, and initial content to code using modules like Features. It outlines a workflow that uses local development environments, a Git repository, an integration environment, and build scripts. This allows deploying updates to production with one click by pulling code changes and running database updates. Benefits include fixing errors earlier, reduced bugfix time, simplified deployment, and minimizing human errors. Typical issues addressed are using consistent environments, code reviews, and managing the database across environments.
Devoxx : being productive with JHipsterJulien Dubois
Slides from the "being productive with JHipster" talk at Devoxx Belgium 2016 by Julien Dubois (JHipster lead) & Deepu K Sasidharan (JHipster co-lead).
Live video is at: https://www.youtube.com/watch?v=dzdjP3CPOCs
Code commited (live!) during the presentation is at:
https://github.com/jhipster/devoxx-2016
The document discusses test-driven development (TDD) and the model-view-controller (MVC) framework in Ruby on Rails. It mentions TDD, the Rails MVC structure with models, controllers and views, and how tests are written before code using techniques like RSpec.
[Srijan Wednesday Webinar] How to Run Stateless and Stateful Services on K8S ...Srijan Technologies
The document discusses Kubernetes operators and provides an overview of a Drupal operator called Druperator that is being developed by Srijan. It summarizes Kubernetes operators, how they automate application lifecycles on Kubernetes. It then discusses extending the Kubernetes control plane through custom resource definitions and controllers. Finally, it mentions that Druperator is a custom controller for managing the lifecycle of Drupal applications on Kubernetes.
Headless Drupal: A modern approach to (micro)services and APIssparkfabrik
Drupal offre agli sviluppatori un ambiente di lavoro moderno, che permette di modellare dati ed esporli via API nativamente; questo lo rende un ottimo candidato sia per sviluppare un CMS headless usando un frontend framework moderno, sia per lo sviluppo di microservizi.
In questo talk vi presenteremo alcuni casi d’uso per sfruttare al meglio le potenzialità di Drupal fuori dal classico contesto CMS.
Review Drupal.org infrastructure for developers:
- Contribution types.
- Detailed review of Issue life cycle.
- Patches and Review patches.
- First drupal.org commit.
My presentation at Groovy and Grails eXchange 2012. Trying to tease out various issues in the tension between dynamic and static languages on the JVM. Groovy is the only language that can be both a dynamic and a static language.
Groovy is a dynamic language for the Java Virtual Machine that aims to bring dynamic capabilities like Python and Ruby to Java developers. It has many features inspired by dynamic languages like closures, duck typing and metaprogramming, but also maintains compatibility with Java by having a Java-like syntax and the ability to interoperate with Java code. Groovy code can either be run directly from scripts or compiled into Java bytecode to be used within Java applications.
The document discusses Grails, a web application framework built on Groovy and Java. It provides an overview of Grails and Groovy, how they simplify Java web development through conventions over configuration, integration with Java and tools like Hibernate and Spring, and how domain classes, GORM, and scaffolding are used to build the model-view-controller structure of a Grails app. Key features highlighted include dynamic typing through Groovy, seamless use of Java code and libraries, and enhanced developer productivity.
This document provides a tutorial on creating a simple login/logout application using Grails. It discusses creating a Grails application and User controller. It describes customizing the login page view and adding a login form. It then covers creating the login action to handle form submission, adding validation, and using flash scope to display messages. The tutorial also demonstrates keeping the login status in the session, creating a logout action, and conditionally displaying the login form or logout link based on login status. Styling and other Grails resources are also briefly mentioned.
This document introduces the Grails framework. It discusses that Grails is an open source web application framework built on Groovy and follows conventions over configuration. The document outlines the history, components, advantages and disadvantages of Grails. It also lists some prominent websites that use Grails like Netflix and Sky TV Guide. Finally, it discusses the future of Grails including separation from application servers and evolution of GORM for NoSQL databases.
This document introduces the Grails framework. It discusses that Grails is an open source web application framework built on Groovy and follows conventions over configuration. The document outlines the history, components, advantages and disadvantages of Grails. It also lists some prominent websites that use Grails like Netflix and Sky TV Guide. Finally, it discusses the future of Grails including separation from application servers and evolution of GORM for NoSQL databases.
Introduction To Groovy And Grails - SpringPeopleSpringPeople
Groovy is a dynamic language that runs on the Java Virtual Machine. Grails is a web application framework that uses Groovy. It allows building web applications quickly by generating the necessary configuration automatically and integrating with existing Java code. The document discusses Groovy testing, Grails architecture, controllers, services, managing databases and data migration in Grails. It also advertises a 4-day training on mastering Groovy and Grails.
Grails is a web development framework built on Groovy and uses Spring and Hibernate. It follows conventions over configuration, allowing developers to scaffold basic CRUD functionality from domain classes without extensive configuration. Grails uses the MVC pattern and GORM for object-relational mapping to simplify database operations.
With high-end expertise and skills, our Groovy developers can help you build the best web app by incorporating the latest technologies.
http://bit.ly/3xQ5zrf
This document provides an introduction and overview of Grails, a web application framework for Groovy and Java developers. It discusses why Grails is an agile framework, how it integrates various technologies like Groovy, Spring, Hibernate, and more seamlessly. It also demonstrates how to create a basic Grails application with a domain class in under 5 minutes using common Grails commands. Finally, it lists some of the author's open source Grails plugins.
This document provides an overview of the Grails framework. It discusses Grails' features such as convention over configuration, scaffolding, REST support, and plugins. It also covers installing Grails, creating and running applications, testing, deployment, and basic configuration. Grails uses conventions for file and application structure and supports configuration for different environments.
Graphlab Create is a machine learning framework created by Dato. It provides many algorithms and visualization tools out of the box. It can easily create and deploy machine learning applications and models at scale for big data. Graphlab Create has a free and open source SDK as well as commercial products for advanced functionality. Documentation, tutorials, and resources are available on their website.
Valuebound's Drupal consultant V Girish has shared an overview of Headless Drupal with AngularJS. He has also given a demo on how to create content type programmatically.
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Get Socialistic
Our website: http://valuebound.com/
LinkedIn: http://bit.ly/2eKgdux
Facebook: https://www.facebook.com/valuebound/
Twitter: http://bit.ly/2gFPTi8
The document provides an overview of the Griffon framework, which is a desktop application framework for building Swing-based applications in Groovy using the MVC pattern. It discusses why Griffon was created due to limitations in Swing, and covers topics like installation, project structure, configuration, application lifecycle, MVC implementation, testing, threading and plugins.
Curious Coders Java Web Frameworks ComparisonHamed Hatami
This document provides a comparison of various Java web frameworks, including Spring MVC, Grails, Vaadin, GWT, Wicket, Play, Struts, and JSF. It evaluates the frameworks based on categories like rapid application prototyping, framework complexity, ease of use, documentation and community support. For each framework, it provides scores and analysis in these different categories. The document is split into multiple parts, with part one focusing on rapid application prototyping and framework complexity. It provides scores and reasoning for each framework in these two areas.
The document discusses using Golang for serverless applications. It introduces serverless computing and why Golang is a good choice. Benefits of Golang include its simplicity with only requiring a single binary output and no dependencies. The document demonstrates building a serverless REST API with Golang and AWS Lambda, and addresses enhancing Lambda with provisioned concurrency. It concludes with references for further information.
Understanding the GitOps Workflow and CICD Pipeline - What It Is, Why It Matt...Gibran Badrulzaman
Travelio Tech Talks 2022 presentation
The recommended workflow for implementing GitOps with Kubernetes manifests is known as trunk-based development. This method defines one branch as the "trunk" and carries out development on each environment in a different short-lived branch. When development is complete for that environment, the developer creates a pull request for the branch to the trunk. Developers can also create a fork to work on an environment, and then create a branch to merge the fork into the trunk.
Once the proper approvals are done, the pull request (or the branch from the fork) gets merged into the trunk. The branch for that feature is deleted, keeping your branches to a minimum. Trunk-based development trades branches for directories.
You can think of the trunk as a "main" or primary branch. production and prod are popular names for the trunk branch.
Trunk-based development came about to enable continuous integration and continuous delivery by supplying a development model focused on the fast delivery of changes to applications. But this model also works for GitOps repositories because it keeps things simple and more in tune with how Kustomize and Helm work. When you record deltas between environments, you can clearly see what changes will be merged into the trunk. You won’t have to cherry-pick nearly as often, and you’ll have the confidence that what is in your Git repository is what is actually going into your environment. This is what you want in a GitOps workflow.
GraalVM is a high-performance runtime that can accelerate applications written in Java and other JVM languages. It includes a new just-in-time (JIT) compiler called Graal that can compile code ahead-of-time into a standalone native image executable. This ahead-of-time compilation allows applications to start faster and use less memory compared to the traditional HotSpot JVM. GraalVM is best suited for applications that benefit from fast startup times and a small memory footprint like command-line tools, containerized services, and embedded systems.
Gradle is an open-source build automation tool focused on flexibility, build reproducibility and performance. Over the years, this tool has evolved and introduced new concepts and features around dependency management, publication and other aspects on build and release of artifacts for the Java platform.
Keeping up to date with all these features across several projects can be challenging. How do you make sure that all your projects can be upgraded to the latest version of Gradle? What if you have thousands of projects and hundreds of engineers? How can you abstract common tasks for them and make sure that new releases work as expected?
At Netflix, we built Nebula, a collection of Gradle plugins that helps engineers remove boilerplate in Gradle build files, and makes building software the Netflix way easy. This reduces the cognitive load on developers, allowing them to focus on writing code.
In this talk, I’ll share with you our philosophy on how to build JVM artifacts and the pieces that help us boost the productivity of engineers at Netflix. I’ll talk about:
- What is Nebula
- What are the common problems we face and try to solve
- How we distribute it to every JVM engineer
- How we ensure that Nebula/Gradle changes do not break builds so we can ship new features with confidence at Netflix
Sashko Stubailo - The GraphQL and Apollo Stack: connecting everything togetherReact Conf Brasil
Apresentado na React Conf Brasil, em São Paulo, 7 de Outubro de 2017 #reactconfbr
I’ve been exploring the space of declarative developer tools and frameworks for over five years. Most recently, I was the founding member of the Apollo project at Meteor Development Group. My greatest passion is to make software development simpler, and enable more people to create software to bring good to the world.
https://medium.com/@stubailo
@stubailo
- Patrocínio: Pipefy, Globo.com, Meteor, Apollo, Taller, Fullcircle, Quanto, Udacity, Cubos, Segware, Entria
- Apoio: Concrete, Rung, LuizaLabs, Movile, Rivendel, GreenMile, STQ, Hi Platform
- Promoção: InfoQ, DevNaEstrada, CodamosClub, JS Ladies, NodeBR, Training Center, BrazilJS, Tableless, GeekHunter
- Afterparty: An English Thing
GraphQL is a wonderful abstraction for describing and querying data. Apollo is an ambitious project to help you build apps with GraphQL. In this talk, we'll go over how all the parts—Client, Server, Dev Tools, Codegen, and more—create an end-to-end experience for building apps on top of any data.
## Detailed description
In today's development ecosystem, there are tons of options for almost every part of your application development process: UI rendering, styling, server side rendering, build systems, type checking, databases, frontend data management, and more. However, there's one part of the stack that hasn't gotten as much love in the last decade, because it usually falls in the cracks between frontend and backend developers: Data fetching.
The most common way to load data in apps today is to use a REST API on the server and manage the data manually on the client. Whether you're using Redux, MobX, or something else, you're usually doing everything yourself—deciding when to load data, how to keep it fresh, updating the store after sending updates to the server, and more. But if you're trying to develop the best user experience for your app, all of that gets in the way; you shouldn't have to become a systems engineer to create a great frontend. The Apollo project is based on the belief that data loading doesn't have to be complicated; instead, you should be able to easily get the data you want, when you want it, and it should be managed for you just like React manages updating your UI.
Because data loading touches both the frontend and backend of your app, GraphQL and Apollo have to include many parts to fulfill that promise of being able to seamlessly connect your data together. First, we need client libraries not only for React and JavaScript, but also for native iOS and Android. Then, we must bring server-side support for GraphQL queries, mutations, and most recently subscriptions to every server technology and make those servers easier to write. And finally, we want not only all of the tools that people are used to with REST APIs, but many more thanks to all of the capabilities enabled by GraphQL.
In this talk, we'll go over all of the parts of a GraphQL-oriented app architecture, and how different GraphQL and Apollo technologies come together to solve all of the parts of data loading and management for React developers.
This document discusses API management for GraphQL APIs. It begins with an introduction to GraphQL and then covers how API management platforms can support GraphQL APIs, including developer portals, enforcing security and policies at the gateway, and analytics. Key capabilities for GraphQL API management include importing GraphQL schemas, analyzing query complexity, enforcing rate limits on operations, and providing insights into usage patterns and latency from analytics. The document emphasizes that GraphQL is a good fit for some problems but API management is still needed to maximize benefits for both GraphQL API providers and consumers.
Advantages of golang development services & 10 most used go frameworksKaty Slemon
Go is a compiled, typed language inspired by C syntax that allows programmers familiar with C to migrate to a modern language with the same power. It supports asynchronous concurrency through goroutines and channels, allowing for high performance on multi-core systems. Go programs compile to static binaries with no dependencies, making deployment simple. Popular frameworks for Go include Faygo, Essgo, Macaron, Hugo, Baa, Gin, Beego, Buffalo, Revel, and Gorilla. Overall, Go is well-suited for backend systems requiring high performance and concurrency due to its stability, efficiency and ease of use.
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
The Department of Veteran Affairs (VA) invited Taylor Paschal, Knowledge & Information Management Consultant at Enterprise Knowledge, to speak at a Knowledge Management Lunch and Learn hosted on June 12, 2024. All Office of Administration staff were invited to attend and received professional development credit for participating in the voluntary event.
The objectives of the Lunch and Learn presentation were to:
- Review what KM ‘is’ and ‘isn’t’
- Understand the value of KM and the benefits of engaging
- Define and reflect on your “what’s in it for me?”
- Share actionable ways you can participate in Knowledge - - Capture & Transfer
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
inQuba Webinar Mastering Customer Journey Management with Dr Graham HillLizaNolte
HERE IS YOUR WEBINAR CONTENT! 'Mastering Customer Journey Management with Dr. Graham Hill'. We hope you find the webinar recording both insightful and enjoyable.
In this webinar, we explored essential aspects of Customer Journey Management and personalization. Here’s a summary of the key insights and topics discussed:
Key Takeaways:
Understanding the Customer Journey: Dr. Hill emphasized the importance of mapping and understanding the complete customer journey to identify touchpoints and opportunities for improvement.
Personalization Strategies: We discussed how to leverage data and insights to create personalized experiences that resonate with customers.
Technology Integration: Insights were shared on how inQuba’s advanced technology can streamline customer interactions and drive operational efficiency.
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
AppSec PNW: Android and iOS Application Security with MobSFAjin Abraham
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
Northern Engraving | Modern Metal Trim, Nameplates and Appliance PanelsNorthern Engraving
What began over 115 years ago as a supplier of precision gauges to the automotive industry has evolved into being an industry leader in the manufacture of product branding, automotive cockpit trim and decorative appliance trim. Value-added services include in-house Design, Engineering, Program Management, Test Lab and Tool Shops.
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...DanBrown980551
This LF Energy webinar took place June 20, 2024. It featured:
-Alex Thornton, LF Energy
-Hallie Cramer, Google
-Daniel Roesler, UtilityAPI
-Henry Richardson, WattTime
In response to the urgency and scale required to effectively address climate change, open source solutions offer significant potential for driving innovation and progress. Currently, there is a growing demand for standardization and interoperability in energy data and modeling. Open source standards and specifications within the energy sector can also alleviate challenges associated with data fragmentation, transparency, and accessibility. At the same time, it is crucial to consider privacy and security concerns throughout the development of open source platforms.
This webinar will delve into the motivations behind establishing LF Energy’s Carbon Data Specification Consortium. It will provide an overview of the draft specifications and the ongoing progress made by the respective working groups.
Three primary specifications will be discussed:
-Discovery and client registration, emphasizing transparent processes and secure and private access
-Customer data, centering around customer tariffs, bills, energy usage, and full consumption disclosure
-Power systems data, focusing on grid data, inclusive of transmission and distribution networks, generation, intergrid power flows, and market settlement data
This talk will cover ScyllaDB Architecture from the cluster-level view and zoom in on data distribution and internal node architecture. In the process, we will learn the secret sauce used to get ScyllaDB's high availability and superior performance. We will also touch on the upcoming changes to ScyllaDB architecture, moving to strongly consistent metadata and tablets.
2. Agenda
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What is Grails?
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Why Grails?
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History of Grails
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Technology stack of Grails
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Directory structure of Grails
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Main Components of Grails
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Pros and Cons of Grails
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WebSites using Grails
4. What is Grails?
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Grails is an open source web application framework
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uses the Groovy programming language
●
●
●
●
following the "coding by convention" paradigm
providing a stand-alone development environment and
hiding much of the configuration detail
Also following DRY(don't repeat yourself) paradigm
Grails is highly inspired from Ruby on Rails web framework
like DRY and COC principles.
5. Why Grails?
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According to its official websites–
–
●
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Grails is Dynamic
–
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Grails is Robust
Grails is Rapid
Most important reasion to use it is that it runs on JVM and
leverages all plus points of JAVA
Any Java developer can learn it very quickly rather than
migrate to other framework for RAD development.
Grails is agile and based on plugins means any
functionality can be attach/detach to it very easily.
6. Why Grails?
●
Grails is actually Spring and Hibernate plus trending
concepts from Ruby on Rails like DRY and COC etc.
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It's very dynamic ecosystem
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Very active developer community
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Grails removes the need to add configuration in XML files
7. History of Grails
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●
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Grails was previously known as 'Groovy on Rails
Work began in July 2005, with the 0.1 release on March
29, 2006
Graeme Rocher is project head and creator of Grails
framework.
Grails is made by G2One, later acquired by Spring Source.
It developed due to need of RAD framework for JAVA
programmer community like Ruby on Rails in Ruby
programmer community.
9. Directory structure of Grails
%PROJECT_HOME%
+ grails-app
+ conf
--->
location of configuration
artifacts
+ hibernate
--->
10. Directory structure of Grails
+ util
--->
location of special utility
classes
+ views
--->
location of views
+ layouts
--->
11. Main components of Grails
Actually as a MVC framework there are only three main
component of Grails and they are●
Model(domain)
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Controller
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View
But there are many other essential components of Grails
which makes it different from others like●
Services
13. Pros and cons of using Grails
What are the advantages?
●
●
●
●
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It provides a rapid development cycle.
The framework offers a range of plug-ins to make your
development simple.
You can see the changes by hitting the refresh button.
Dynamic configuration feature. Therefore, you can change
the configuration without server restart.
The setup process is very simple. Therefore, you should
be able to start building an app in an hour.
14. Pros and cons of using Grails
What are the disadvantages?
●
●
●
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Interpreted languages increase weight and that directly
affects the run time.
It works with GORM but not with any other ORMs.
Developers generally declare variables with “def” which is
equivalent to “object”. It’s very hard to maintain.
You have to deal with runtime language.
15. WebSites Using Grails
Folowing websites are currently using Grails●
Netflix Asgard - https://github.com/Netflix/asgard
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NOW TV - http://nowtv.com
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Vodafone Music - http://music.vodafone360.com/gb/en
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Sky TV Guide - http://tv.sky.com/
and many more.......
source:
http://grails.org
16. Future of Grails
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Grails 3.0 will separate Grails from the traditional
application server and extend Grails’ reach to allow for the
development of lightweight, asynchronous applications.
Grails’ persistence technology GORM has also been
evolving beyond the traditional relational database, with
implementations for NoSQL databases now available.
GORM will continue to be an important technology for us
as enterprise data fabrics evolve.
Source:http://www.cacoethes.co.uk/blog/groovyandgrails/where-next-for-grails