Micronaut and Quarkus are two cool emerging Java backend frameworks that aim to solve some problems that exist in current frameworks, like faster startup, low memory footprint, and support for ahead-of-time compilation using GraalVM. In this session, we'll square off both frameworks against each other.
How do they compare, what are the stronger and weaker points of both frameworks?
We'll compare the following features:
Initializing your project
Building your first restcontroller / programming model
Startup time
Database support
Integration test support
Building native images
Memory usage and JAR sizes
Ease of cloud deployment
In the end, we might have a clear winner! ... or will we?
Reactive Microservices with Spring 5: WebFlux Trayan Iliev
On November 27 Trayan Iliev from IPT presented “Reactive microservices with Spring 5: WebFlux” @Dev.bg in Betahaus Sofia. IPT – Intellectual Products & Technologies has been organizing Java & JavaScript trainings since 2003.
Spring 5 introduces a new model for end-to-end functional and reactive web service programming with Spring 5 WebFlow, Spring Data & Spring Boot. The main topics include:
– Introduction to reactive programming, Reactive Streams specification, and project Reactor (as WebFlux infrastructure)
– REST services with WebFlux – comparison between annotation-based and functional reactive programming approaches for building.
– Router, handler and filter functions
– Using reactive repositories and reactive database access with Spring Data. Building end-to-end non-blocking reactive web services using Netty-based web runtime
– Reactive WebClients and integration testing. Reactive WebSocket support
– Realtime event streaming to WebClients using JSON Streams, and to JS client using SSE.
Join Red Hat and Vodafone for an exciting presentation on the benefits of Quarkus over competing technologies. Hear from Vodafone's experts about their successful transition to Quarkus from Spring and discover how Quarkus can help your organization cut cloud costs, improve cluster stability, and achieve better performance.
A live demo will showcase the power of Quarkus through examples of HTTP requests, security approaches, exception handling, logging, and more.
In summary, this informative session will provide you valuable insights into the benefits of using Quarkus while also getting real world performance and development time numbers from Vodafone, information which can and should influence your next decisions on what Server Side Java technology to choose!
Java REST API Comparison: Micronaut, Quarkus, and Spring Boot - jconf.dev 2020Matt Raible
"Use Spring Boot! No, use Micronaut!! Nooooo, Quarkus is the best!!!"
There's a lot of developers praising the hottest, and fastest, Java REST frameworks: Micronaut, Quarkus, and Spring Boot. In this session, you'll learn how to do the following with each framework:
✅ Build a REST API
✅ Secure your API with OAuth 2.0
✅ Optimize for production with Docker and GraalVM
I'll also share some performance numbers and pretty graphs to compare community metrics.
Related blog post: https://developer.okta.com/blog/2020/01/09/java-rest-api-showdown
GitHub repo: https://github.com/oktadeveloper/okta-java-rest-api-comparison-example
Introducing Exactly Once Semantics in Apache Kafka with Matthias J. SaxDatabricks
Apache Kafka’s rise in popularity as a streaming platform has demanded a revisit of its traditional at least once message delivery semantics. In this talk, we present the recent additions to Apache Kafka to achieve exactly once semantics. We shall discuss the newly introduced transactional APIs and use Kafka Streams as an example to show how these APIs are leveraged for streams tasks.
Spring Boot on Amazon Web Services with Spring Cloud AWSVMware Tanzu
SpringOne 2021
Session Title: Spring Boot on Amazon Web Services with Spring Cloud AWS
Speakers: Maciej Walkowiak, Software Consultant at Independent; Matej Nedic, Software engineer at Ingemark
Building an enterprise level single sign-on application with the help of keycloak (Open Source Identity and Access Management).
And understanding the way to secure your application; frontend & backend API’s. Managing user federation with minimum configuration.
Reactive Microservices with Spring 5: WebFlux Trayan Iliev
On November 27 Trayan Iliev from IPT presented “Reactive microservices with Spring 5: WebFlux” @Dev.bg in Betahaus Sofia. IPT – Intellectual Products & Technologies has been organizing Java & JavaScript trainings since 2003.
Spring 5 introduces a new model for end-to-end functional and reactive web service programming with Spring 5 WebFlow, Spring Data & Spring Boot. The main topics include:
– Introduction to reactive programming, Reactive Streams specification, and project Reactor (as WebFlux infrastructure)
– REST services with WebFlux – comparison between annotation-based and functional reactive programming approaches for building.
– Router, handler and filter functions
– Using reactive repositories and reactive database access with Spring Data. Building end-to-end non-blocking reactive web services using Netty-based web runtime
– Reactive WebClients and integration testing. Reactive WebSocket support
– Realtime event streaming to WebClients using JSON Streams, and to JS client using SSE.
Join Red Hat and Vodafone for an exciting presentation on the benefits of Quarkus over competing technologies. Hear from Vodafone's experts about their successful transition to Quarkus from Spring and discover how Quarkus can help your organization cut cloud costs, improve cluster stability, and achieve better performance.
A live demo will showcase the power of Quarkus through examples of HTTP requests, security approaches, exception handling, logging, and more.
In summary, this informative session will provide you valuable insights into the benefits of using Quarkus while also getting real world performance and development time numbers from Vodafone, information which can and should influence your next decisions on what Server Side Java technology to choose!
Java REST API Comparison: Micronaut, Quarkus, and Spring Boot - jconf.dev 2020Matt Raible
"Use Spring Boot! No, use Micronaut!! Nooooo, Quarkus is the best!!!"
There's a lot of developers praising the hottest, and fastest, Java REST frameworks: Micronaut, Quarkus, and Spring Boot. In this session, you'll learn how to do the following with each framework:
✅ Build a REST API
✅ Secure your API with OAuth 2.0
✅ Optimize for production with Docker and GraalVM
I'll also share some performance numbers and pretty graphs to compare community metrics.
Related blog post: https://developer.okta.com/blog/2020/01/09/java-rest-api-showdown
GitHub repo: https://github.com/oktadeveloper/okta-java-rest-api-comparison-example
Introducing Exactly Once Semantics in Apache Kafka with Matthias J. SaxDatabricks
Apache Kafka’s rise in popularity as a streaming platform has demanded a revisit of its traditional at least once message delivery semantics. In this talk, we present the recent additions to Apache Kafka to achieve exactly once semantics. We shall discuss the newly introduced transactional APIs and use Kafka Streams as an example to show how these APIs are leveraged for streams tasks.
Spring Boot on Amazon Web Services with Spring Cloud AWSVMware Tanzu
SpringOne 2021
Session Title: Spring Boot on Amazon Web Services with Spring Cloud AWS
Speakers: Maciej Walkowiak, Software Consultant at Independent; Matej Nedic, Software engineer at Ingemark
Building an enterprise level single sign-on application with the help of keycloak (Open Source Identity and Access Management).
And understanding the way to secure your application; frontend & backend API’s. Managing user federation with minimum configuration.
Garbage collection is the most famous (infamous) JVM mechanism and it dates back to Java 1.0. Every Java developer knows about its existence yet most of the time we wish we can ignore its behavior and assume it works perfectly. Unfortunately this is not the case and if you are ignoring it, GC may hit you really hard.... in production. Furthermore the information that you may find on the web can be a lot of times misleading. In this event we will try to demystify some of the misconceptions around GC by understanding how different GC mechanisms work and how to make the right decisions in order to make them work for you.
Introducing KRaft: Kafka Without Zookeeper With Colin McCabe | Current 2022HostedbyConfluent
Introducing KRaft: Kafka Without Zookeeper With Colin McCabe | Current 2022
Apache Kafka without Zookeeper is now production ready! This talk is about how you can run without ZooKeeper, and why you should.
Cluster-as-code. The Many Ways towards KubernetesQAware GmbH
iSAQB Software Architecture Gathering – Digital 2022, November 2022, Mario-Leander Reimer (@LeanderReimer, Principal Software Architect bei QAware).
== Dokument bitte herunterladen, falls unscharf! Please download slides if blurred! ==
Kubernetes is the de-facto standard when it comes to container orchestration. But why is there is no established, standard and uniform way to spin-up and manage a single or even a whole farm of Kubernetes clusters yet? Instead, a whole bunch of different and mostly incompatible ways towards Kubernetes exist today. Each with its own pros and cons in regards to ease of use, flexibility and many other requirements. In this session we will have a closer look at the different available options to create, manage and operate Kubernetes clusters at scale.
Automate Oracle database patches and upgrades using Fleet Provisioning and Pa...Nelson Calero
Each new version of the Oracle database includes improvements in the upgrade and patching utilities, forcing us to update our procedures to incorporate these changes.
The Fleet Provisioning & Patching (FPP, formerly RHP) utility, together with the change in its licensing announced at OOW 2019 that makes it free in RAC, now makes it possible to centrally manage the software life cycle.
This presentation shows examples of how to use FPP and different configuration options.
An inroduction to Terraform, a tool that helps you deploy and change your infrastructure as code. Given at Rencontres Mondiales du Logiciel libre (RMLL) 2017
Wars of MySQL Cluster ( InnoDB Cluster VS Galera ) Mydbops
MySQL Clustering over InnoDB engines has grown a lot over the last decade. Galera began working with InnoDB early and then Group Replication came to the environment later, where the features are now rich and robust. This presentation offers a technical comparison of both of them.
Scylla on Kubernetes: Introducing the Scylla OperatorScyllaDB
How can Kubernetes be best used to automate the deployment, scaling, and various operations of a Scylla database?
Enter Kubernetes Operators, the way to combine domain-specific knowledge about Scylla with the automation framework of Kubernetes.
In this presentation, we will quickly explore what Kubernetes is and why it works so well, highlight the pain points of running Scylla with just Kubernetes primitives, and show how we extended Kubernetes so that it can correctly operate a Scylla database.
Finally, we will show the Scylla Operator in action and show how easily you can spin up a Scylla cluster with just one command.
Cryptography for Java Developers: Nakov jProfessionals (Jan 2019)Svetlin Nakov
Cryptography for Java Developers
Hashes, MAC, Key Derivation, Encrypting Passwords, Symmetric Ciphers & AES, Digital Signatures & ECDSA
About the Speaker
What is Cryptography?
Cryptography in Java – APIs and Libraries
Hashes, MAC Codes and Key Derivation (KDF)
Encrypting Passwords: from Plaintext to Argon2
Symmetric Encryption: AES (KDF + Block Modes + IV + MAC)
Digital Signatures, Elliptic Curves, ECDSA, EdDSA
Live demos and code examples: https://github.com/nakov/Java-Cryptography-Examples
Video (in Bulgarian language): https://youtu.be/ZG3BLXWVwJM
Blog: https://nakov.com/blog/2019/01/26/cryptography-for-java-developers-nakov-at-jprofessionals-jan-2019/
Micronaut: A new way to build microservicesLuram Archanjo
Over the years microservices architecture has been widely adopted in conjunction with Spring Boot. But recently, we are witnessing the rise of microframeworks such as Micronaut, which has innovated the way we build microservices by providing low memory consumption, fast startup, non-blocking, and other important features that I will demonstrate and conceptualize in this talk.
Synadia/NATS Team Presentations for NATS Connect Live on April 16, 2020. To see the recorded event, go to our NATS YouTube Channel https://youtube.com/c/nats_messaging
Secrets of Performance Tuning Java on KubernetesBruno Borges
Java on Kubernetes may seem complicated, but after a bit of YAML and Dockerfiles, you will wonder what all that fuss was. But then the performance of your app in 1 CPU/1 GB of RAM makes you wonder. Learn how JVM ergonomics, CPU throttling, and GCs can help increase performance while reducing costs.
Garbage collection is the most famous (infamous) JVM mechanism and it dates back to Java 1.0. Every Java developer knows about its existence yet most of the time we wish we can ignore its behavior and assume it works perfectly. Unfortunately this is not the case and if you are ignoring it, GC may hit you really hard.... in production. Furthermore the information that you may find on the web can be a lot of times misleading. In this event we will try to demystify some of the misconceptions around GC by understanding how different GC mechanisms work and how to make the right decisions in order to make them work for you.
Introducing KRaft: Kafka Without Zookeeper With Colin McCabe | Current 2022HostedbyConfluent
Introducing KRaft: Kafka Without Zookeeper With Colin McCabe | Current 2022
Apache Kafka without Zookeeper is now production ready! This talk is about how you can run without ZooKeeper, and why you should.
Cluster-as-code. The Many Ways towards KubernetesQAware GmbH
iSAQB Software Architecture Gathering – Digital 2022, November 2022, Mario-Leander Reimer (@LeanderReimer, Principal Software Architect bei QAware).
== Dokument bitte herunterladen, falls unscharf! Please download slides if blurred! ==
Kubernetes is the de-facto standard when it comes to container orchestration. But why is there is no established, standard and uniform way to spin-up and manage a single or even a whole farm of Kubernetes clusters yet? Instead, a whole bunch of different and mostly incompatible ways towards Kubernetes exist today. Each with its own pros and cons in regards to ease of use, flexibility and many other requirements. In this session we will have a closer look at the different available options to create, manage and operate Kubernetes clusters at scale.
Automate Oracle database patches and upgrades using Fleet Provisioning and Pa...Nelson Calero
Each new version of the Oracle database includes improvements in the upgrade and patching utilities, forcing us to update our procedures to incorporate these changes.
The Fleet Provisioning & Patching (FPP, formerly RHP) utility, together with the change in its licensing announced at OOW 2019 that makes it free in RAC, now makes it possible to centrally manage the software life cycle.
This presentation shows examples of how to use FPP and different configuration options.
An inroduction to Terraform, a tool that helps you deploy and change your infrastructure as code. Given at Rencontres Mondiales du Logiciel libre (RMLL) 2017
Wars of MySQL Cluster ( InnoDB Cluster VS Galera ) Mydbops
MySQL Clustering over InnoDB engines has grown a lot over the last decade. Galera began working with InnoDB early and then Group Replication came to the environment later, where the features are now rich and robust. This presentation offers a technical comparison of both of them.
Scylla on Kubernetes: Introducing the Scylla OperatorScyllaDB
How can Kubernetes be best used to automate the deployment, scaling, and various operations of a Scylla database?
Enter Kubernetes Operators, the way to combine domain-specific knowledge about Scylla with the automation framework of Kubernetes.
In this presentation, we will quickly explore what Kubernetes is and why it works so well, highlight the pain points of running Scylla with just Kubernetes primitives, and show how we extended Kubernetes so that it can correctly operate a Scylla database.
Finally, we will show the Scylla Operator in action and show how easily you can spin up a Scylla cluster with just one command.
Cryptography for Java Developers: Nakov jProfessionals (Jan 2019)Svetlin Nakov
Cryptography for Java Developers
Hashes, MAC, Key Derivation, Encrypting Passwords, Symmetric Ciphers & AES, Digital Signatures & ECDSA
About the Speaker
What is Cryptography?
Cryptography in Java – APIs and Libraries
Hashes, MAC Codes and Key Derivation (KDF)
Encrypting Passwords: from Plaintext to Argon2
Symmetric Encryption: AES (KDF + Block Modes + IV + MAC)
Digital Signatures, Elliptic Curves, ECDSA, EdDSA
Live demos and code examples: https://github.com/nakov/Java-Cryptography-Examples
Video (in Bulgarian language): https://youtu.be/ZG3BLXWVwJM
Blog: https://nakov.com/blog/2019/01/26/cryptography-for-java-developers-nakov-at-jprofessionals-jan-2019/
Micronaut: A new way to build microservicesLuram Archanjo
Over the years microservices architecture has been widely adopted in conjunction with Spring Boot. But recently, we are witnessing the rise of microframeworks such as Micronaut, which has innovated the way we build microservices by providing low memory consumption, fast startup, non-blocking, and other important features that I will demonstrate and conceptualize in this talk.
Synadia/NATS Team Presentations for NATS Connect Live on April 16, 2020. To see the recorded event, go to our NATS YouTube Channel https://youtube.com/c/nats_messaging
Secrets of Performance Tuning Java on KubernetesBruno Borges
Java on Kubernetes may seem complicated, but after a bit of YAML and Dockerfiles, you will wonder what all that fuss was. But then the performance of your app in 1 CPU/1 GB of RAM makes you wonder. Learn how JVM ergonomics, CPU throttling, and GCs can help increase performance while reducing costs.
MCE^3 - Kyle Fuller - End-to-end Building Web Services in-swift-mce-2016PROIDEA
With open source Swift, Apple has created a new range of possibilities. You can now take existing knowledge and code and apply then to web application development.
This talk will show you how you can reuse existing skills to build and deploy your first web service in Swift.
Le temps est révolu où Java EE ne serait qu’à développer des applications de mise à jour de données, avec JSF / EJB / JPA. Aujourd’hui Java EE s’est assoupli et s’est ouvert sur le monde, avec CDI comme clé de voûte et a repoussé nos limites grâce à des capacités d’extension puissantes et faciles d’utilisation comme JCA.
Dans un premier temps, nous reviendrons rapidement sur la place de CDI dans JavaEE 7 et sur ses mécanismes d’extension. Dans un deuxième temps, nous verrons les techniques de connecteurs JCA et comment ils peuvent aussi constituer une possibilité d’ouverture simple à mettre en œuvre. JCA fournit des techniques pour gérer des connexions sortantes ou entrantes, sur des formats ou protocoles variés.
Spring in the Cloud - using Spring with Cloud FoundryJoshua Long
This talk's about using the power of the Spring framework with Cloud Foundry, the open source PaaS (platform as-a-service) from VMware. This is a bit more deep an introduction than my other Spring and Cloud Foundry talk, and so I've kept both, while encouraging people to check this one out, first.
Object Graph Mapping with Spring Data Neo4j 3 - Nicki Watt & Michael Hunger @...Neo4j
Nicki and Michael have recently been working together on the project to develop/upgrade the Spring Data Neo4j 3 (SDN) library to take advantage of some of the latest Neo4j 2.0 features. This talk takes a look at what can be expected of the new framework, and how it can be used to help model various different use cases with a simple Java domain model backed by a Neo4j database.
Testing an onion architecture - done rightMichel Schudel
Hexagonal, or onion, architectures are perfect for separating domain logic from access to that logic, and resources the logic needs.
But how to test such an architecture?
In this presentation, you'll see a pragmatic yet robust approach to testing such an architecture, with a live coding demo using a Spring Boot application.
We'll find a correct balance between unit tests and IT tests. We'll look at different tools for IT tests, and we'll also take a look at granularity of unit tests: do you *really* need to test every class separately?
As a developer, I was fortunate enough to be part of a team at Rabobank Lending & Insurance that grew from a relatively new team, to a team that could, all but literally, move mountains.
During that time, we've tried things that improved the performance of our team… and things that didn’t!
Let me share some of our successes (and failures) with you, all tried and tested on the working floor battlefield. Expect stories about team dynamics, coding discipline, openness to learning new things, and much more. With any luck, there might be takeaways for you to bring back to your own team.
What happens, exactly, when you connect to a server using https? In this session, we'll explore the SSL/TLS protocol at the byte level, look at non-mutual and mutual TLS, and where to look when you have a connection problem.
A short presentation that explains the internals of the Spring Boot framework. Includes an example of a starter and an autoconfig artifac, and a github repo:
https://github.com/MichelSchudel/springbootunderdahood
Cryptography 101 for Java Developers - Devoxx 2019Michel Schudel
So you're logging in to your favorite crypto currency exchange over https using a username and password, executing some transactions, and you're not at all surprised that, security wise, everything's hunky dory...
The amount of cryptography to make all this happen is staggering. In order to appreciate and understand what goes on under the hood, as a developer, it's really important to dive into the key concepts of cryptography.
In this session, we discover what cryptography actually is, and will use the JCA (Java Cryptography API) en JCE (Java Cryptography Extensions) in the JDK to explain and demo key concepts such as: - Message digests (hashing) - Encryption, both symmetric and asymmetric - Digital signatures, both symmetric and asymmetric.
Furthermore, we'll show how these concepts find their way into a variety of practical applications such as: - https and certificates - salted password checking - block chain technology After this session, you'll have a better understanding of basic cryptography, its applications, and how to use the cryptography APIs in Java.
Cryptography 101 for_java_developers, Fall 2019Michel Schudel
So you’re logging in to your favorite crypto currency exchange over https using a username and password, executing some transactions, and you’re not at all surprised that, security wise, everything’s hunky dory…
The amount of cryptography to make all this happen is staggering. In order to appreciate and understand what goes on under the hood, as a developer, it’s really important to dive into the key concepts of cryptography.
In this session, we discover what cryptography actually is, and will use the JCA (Java Cryptography API) en JCE (Java Cryptography Extensions) in the JDK to explain and demo key concepts such as:
– Message digests (hashing)
– Encryption, both symmetric and asymmetric
– Digital signatures, both symmetric and asymmetric
Furthermore, we’ll show how these concepts find their way into a variety of practical applications such as:
– https and certificates
– salted password checking
– block chain technology
After this session, you’ll have a better understanding of basic cryptography, its applications, and how to use the cryptography APIs in Java.
Cryptography 101 for Java Developers - JavaZone2019Michel Schudel
So you're logging in to your favorite crypto currency exchange over https using a username and password, executing some transactions, and you're not at all surprised that, security wise, everything's hunky dory...
Ever wondered about the amount of cryptography begin used here? No? Let's dive into the key concepts of cryptography then, and see how the JDK supports this using the standard cryptography API's: JCA (Java Cryptography Architecture) and JCE (Java Cryptography Extension)! We'll be exploring message digests, encryption, and digital signatures, and see how they'are used in password checks, https, and block chain technology.
After this session, you'll have a better understanding of basic cryptography, its applications, and how to use the cryptography APIs in Java.
The semi-annual Java release cycle means that we get new Java features quicker. Let's get you up to speed on the latest features! Java 12 is released on March 12, 2019. Java 12 adds some nice languages features and API changes like switch expressions, string literals, and a new garbage collector algorithm. In this talk, you will get a quick recap of features that were introduced after Java 8, see a demo of the new features in Java 12, and examine what is in the pipeline for future Java releases. Furthermore, we will look at the changed Java ecosystem and support model, and explore alternative Java implementations like Amazon's Corretto.
Let's build a blockchain.... in 40 minutes!Michel Schudel
This presentation explains blockchain fundamentals, and contains sheets of java code (demoed live during the original presentation) that show you how to build a blockchain in java.
So you're logging in to your favorite crypto currency exchange over https using a username and password, executing some transactions, and you're not at all surprised that, security wise, everything's hunky dory...
In order to appreciate and understand what goes on under the hood, as a developer, it's really important to dive into the key concepts of cryptography .
In this presentation, we'll go back to JCA (Java Cryptography API) en JCE (Java Cryptography Extensions) basics, like message digests, symmetric and asymmetric encryption, and digital signatures, and see how they're used in a variety of examples like https and certificates, salted password checking, and block chain technology.
After this presentation, you'll have a better understanding of Java Cryptography APIs and their applications.
Let's Build A Blockchain... in 40 minutes!Michel Schudel
Blockchain technology is hot! But how does it actually work? To understand a new technology, it always helps to try to build something with it yourself. So that’s what we’re gonna do: building a blockchain from scratch, using plain old java and a little Spring Boot, and getting it working in 40 minutes! During this introductory presentation, all concepts associated with blockchain technology are explained, such as: transactions, blocks, mining, proof-of-work, and reaching consensus about the state of the blockchain in the blockchain network.
A quick introduction about everything that's new in Java 11. Includes API changes, language changes and new tools in the JDK.
Demo's for this presentation can be found here: https://github.com/MichelSchudel/java11demo
Rest-assured is a 100% java-based, BDD style, test library that you can use for testing REST api's in java projects. These are the slides from the presentation and demo I give at the 2017 #JBCNConf Java conference in Barcelona.
Paketo Buildpacks : la meilleure façon de construire des images OCI? DevopsDa...Anthony Dahanne
Les Buildpacks existent depuis plus de 10 ans ! D’abord, ils étaient utilisés pour détecter et construire une application avant de la déployer sur certains PaaS. Ensuite, nous avons pu créer des images Docker (OCI) avec leur dernière génération, les Cloud Native Buildpacks (CNCF en incubation). Sont-ils une bonne alternative au Dockerfile ? Que sont les buildpacks Paketo ? Quelles communautés les soutiennent et comment ?
Venez le découvrir lors de cette session ignite
top nidhi software solution freedownloadvrstrong314
This presentation emphasizes the importance of data security and legal compliance for Nidhi companies in India. It highlights how online Nidhi software solutions, like Vector Nidhi Software, offer advanced features tailored to these needs. Key aspects include encryption, access controls, and audit trails to ensure data security. The software complies with regulatory guidelines from the MCA and RBI and adheres to Nidhi Rules, 2014. With customizable, user-friendly interfaces and real-time features, these Nidhi software solutions enhance efficiency, support growth, and provide exceptional member services. The presentation concludes with contact information for further inquiries.
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamtakuyayamamoto1800
In this slide, we show the simulation example and the way to compile this solver.
In this solver, the Helmholtz equation can be solved by helmholtzFoam. Also, the Helmholtz equation with uniformly dispersed bubbles can be simulated by helmholtzBubbleFoam.
Navigating the Metaverse: A Journey into Virtual Evolution"Donna Lenk
Join us for an exploration of the Metaverse's evolution, where innovation meets imagination. Discover new dimensions of virtual events, engage with thought-provoking discussions, and witness the transformative power of digital realms."
How Recreation Management Software Can Streamline Your Operations.pptxwottaspaceseo
Recreation management software streamlines operations by automating key tasks such as scheduling, registration, and payment processing, reducing manual workload and errors. It provides centralized management of facilities, classes, and events, ensuring efficient resource allocation and facility usage. The software offers user-friendly online portals for easy access to bookings and program information, enhancing customer experience. Real-time reporting and data analytics deliver insights into attendance and preferences, aiding in strategic decision-making. Additionally, effective communication tools keep participants and staff informed with timely updates. Overall, recreation management software enhances efficiency, improves service delivery, and boosts customer satisfaction.
Globus Connect Server Deep Dive - GlobusWorld 2024Globus
We explore the Globus Connect Server (GCS) architecture and experiment with advanced configuration options and use cases. This content is targeted at system administrators who are familiar with GCS and currently operate—or are planning to operate—broader deployments at their institution.
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...Globus
The U.S. Geological Survey (USGS) has made substantial investments in meeting evolving scientific, technical, and policy driven demands on storing, managing, and delivering data. As these demands continue to grow in complexity and scale, the USGS must continue to explore innovative solutions to improve its management, curation, sharing, delivering, and preservation approaches for large-scale research data. Supporting these needs, the USGS has partnered with the University of Chicago-Globus to research and develop advanced repository components and workflows leveraging its current investment in Globus. The primary outcome of this partnership includes the development of a prototype enterprise repository, driven by USGS Data Release requirements, through exploration and implementation of the entire suite of the Globus platform offerings, including Globus Flow, Globus Auth, Globus Transfer, and Globus Search. This presentation will provide insights into this research partnership, introduce the unique requirements and challenges being addressed and provide relevant project progress.
Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
Custom Healthcare Software for Managing Chronic Conditions and Remote Patient...Mind IT Systems
Healthcare providers often struggle with the complexities of chronic conditions and remote patient monitoring, as each patient requires personalized care and ongoing monitoring. Off-the-shelf solutions may not meet these diverse needs, leading to inefficiencies and gaps in care. It’s here, custom healthcare software offers a tailored solution, ensuring improved care and effectiveness.
Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
If you want to watch the on-demand webinar, please click here: https://www.xfilespro.com/webinars/salesforce-document-management-2-0-smarter-faster-better/
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...informapgpstrackings
Keep tabs on your field staff effortlessly with Informap Technology Centre LLC. Real-time tracking, task assignment, and smart features for efficient management. Request a live demo today!
For more details, visit us : https://informapuae.com/field-staff-tracking/
First Steps with Globus Compute Multi-User EndpointsGlobus
In this presentation we will share our experiences around getting started with the Globus Compute multi-user endpoint. Working with the Pharmacology group at the University of Auckland, we have previously written an application using Globus Compute that can offload computationally expensive steps in the researcher's workflows, which they wish to manage from their familiar Windows environments, onto the NeSI (New Zealand eScience Infrastructure) cluster. Some of the challenges we have encountered were that each researcher had to set up and manage their own single-user globus compute endpoint and that the workloads had varying resource requirements (CPUs, memory and wall time) between different runs. We hope that the multi-user endpoint will help to address these challenges and share an update on our progress here.
A Comprehensive Look at Generative AI in Retail App Testing.pdfkalichargn70th171
Traditional software testing methods are being challenged in retail, where customer expectations and technological advancements continually shape the landscape. Enter generative AI—a transformative subset of artificial intelligence technologies poised to revolutionize software testing.
Enhancing Research Orchestration Capabilities at ORNL.pdfGlobus
Cross-facility research orchestration comes with ever-changing constraints regarding the availability and suitability of various compute and data resources. In short, a flexible data and processing fabric is needed to enable the dynamic redirection of data and compute tasks throughout the lifecycle of an experiment. In this talk, we illustrate how we easily leveraged Globus services to instrument the ACE research testbed at the Oak Ridge Leadership Computing Facility with flexible data and task orchestration capabilities.
Developing Distributed High-performance Computing Capabilities of an Open Sci...Globus
COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...Globus
Large Language Models (LLMs) are currently the center of attention in the tech world, particularly for their potential to advance research. In this presentation, we'll explore a straightforward and effective method for quickly initiating inference runs on supercomputers using the vLLM tool with Globus Compute, specifically on the Polaris system at ALCF. We'll begin by briefly discussing the popularity and applications of LLMs in various fields. Following this, we will introduce the vLLM tool, and explain how it integrates with Globus Compute to efficiently manage LLM operations on Polaris. Attendees will learn the practical aspects of setting up and remotely triggering LLMs from local machines, focusing on ease of use and efficiency. This talk is ideal for researchers and practitioners looking to leverage the power of LLMs in their work, offering a clear guide to harnessing supercomputing resources for quick and effective LLM inference.
3. What issues do Micronaut and Quarkus address?
• Lower memory footprint, faster startup
• Ahead-Of-Time (AOT) compilation
• Capability to build native images with GraalVM
• Designed from the ground up with
microservices in mind
• Built-in support for Fault Tolerance
• Monitoring / metrics
• Service discovery
• Cloud deployment
4. Project source
Website
Start/ Backed by
Github stars
#Contributors
Build tools
Languages
First Commit
github: micronaut-
project/micronaut-
core
micronaut.io
ObjectComputing
2.9K
163
Maven, Gradle
Java, Kotlin, Groovy
2017-03-16
github:
quarkusio/quarkus
quarkus.io
Red Hat
2.9K
175
Maven, Gradle
Java, Kotlin, Scala
2018-06-22
5. Round 1: Getting started
Round 2: Programming model
Round 3: Database persistency
Round 4: Test support
Round 5: Native images, startup and heap
The match
6. Conference application
Conference API
Conference Service
Conference RepositoryCountryClient
H2External country service
http(s)
GET /conferences
POST /conferences
{ “name”: “Devoxx”}
{ “name”: “Devoxx”}
{ “name”: “Devoxx”,
“countryName”: “Belgium”}
{ “countryName”: “Belgium”}/conf/{name}/country
GET /conferences-with-country
7.
8.
9.
10.
11. Let’s start the applications!
mvn compile quarkus:dev
mvn package exec:exec
(or start the main class)
8100
8101
12.
13.
14. REST Controller
@Path("/conferences")
public class ConferenceResource {
@Inject
ConferenceService conferenceService;
@GET
@Produces(MediaType.APPLICATION_JSON)
public List<Conference> getAll() {
return conferenceService.getAll();
}
@POST
@Consumes(MediaType.APPLICATION_JSON)
public void create(Conference conference) {
conferenceService.create(conference);
}
@Controller("/conferences")
public class ConferenceController {
@Inject
ConferenceService conferenceService;
@Get
@Produces(MediaType.APPLICATION_JSON)
public List<Conference> getAll() {
return conferenceService.getAll();
}
@Post
@Consumes(MediaType.APPLICATION_JSON)
public void create(Conference conference) {
conferenceService.create(conference);
}
Conference API
Conference Service
RepoCountryClient
15. Conference service
@Singleton
public class ConferenceService {
@Inject
private ConferenceRepository conferenceRepository;
@Inject
CountryClient countryClient;
public List<Conference> getAll() {
return conferenceRepository.findAll();
}
public void create(Conference conference) {
conferenceRepository.save(conference);
}
@Singleton
public class ConferenceService {
@Inject
private ConferenceRepository conferenceRepository;
@Inject
@RestClient
CountryClient countryClient;
public List<Conference> getAll() {
return conferenceRepository.findAll();
}
public void create(Conference conference) {
conferenceRepository.save(conference);
}
Conference API
Conference Service
RepoCountryClient
16. @Path("/")
@RegisterRestClient
@Retry(maxRetries = 3, delay = 2)
@CircuitBreaker(successThreshold = 1)
public interface CountryClient {
@GET
@Path("/conferences/{name}/country")
Country getCountry(@PathParam("name") String name);
@Client("${country.service.url}")
@Retryable(attempts = “3", delay = "1s")
@CircuitBreaker(reset = "20s")
public interface CountryClient {
@Get("/conferences/{name}/country")
Country getCountry(String name);
mypackage.CountryClient/mp-rest/url=http://localhost:9000/
mypackage.CountryClient/mp-rest/scope=javax.inject.Singleton
country.service.url=http://localhost:9000/
application.properties application.properties / yml
Conference API
Conference Service
RepoCountryClient
REST client
17. Configuration
app.helloMessage=Hi there! app.helloMessage=Hi there!
application.properties application.properties / application.yml
@ConfigProperty(name = "app.helloMessage",
defaultValue="hello default!")
String helloMessage;
@ConfigProperties(prefix = "app")
public class ConferenceConfiguration {
@Size(min= 5)
public String helloMessage;
}
@Value("${app.helloMessage:hello default!}")
String helloMessage;
@ConfigurationProperties("app")
public class ConferenceConfiguration {
@Size(min = 5)
public String helloMessage;
}
@Property("app.helloMessage")
String helloMessage;
18. Configuration profiles
app.hello-message=Hi there!
%dev.app.hello-message=Hi from dev!
%test.app.hello-message=Hi from test!
%custom.app.hello-message=Hi from custom!
app.hello-message=Hi there!
application.properties application.properties / application.yml
• dev – during quarkus:dev unless
overridden
• test- during tests
• prod – default profile
• custom
mvnw quarkus:dev –Dquarkus.profile=test
application-test.properties / application-test.yml
app.hello-message=Hi from test!
mvnw exec:exec -Dmicronaut.environments=test
19. Custom Configuration
Create service file
/META-
INF/services/org.eclipse.microprofile.config.spi.ConfigSour
ce
public class CustomConfigSource implements ConfigSource {
@Override
public Map<String, String> getProperties() {
//my own implementation
return null;
}
@Override
public String getValue(String s) {
//my own implementation
return null;
}
@Override
public String getName() {
return "CustomConfigSource";
}
}
<dependency>
<groupId>io.micronaut</groupId>
<artifactId>micronaut-discovery-client</artifactId>
</dependency>
spring:
cloud:
config:
enabled: true
uri: http://localhost:8888/
micronaut:
config-client:
enabled: true
• HashiCorp Consul & Vault Support
• AWS Parameter Store Support
• Spring Cloud config server Support
20.
21.
22. JP
@Singleton
public class ConferenceRepository {
@Inject
EntityManager entityManager;
@Transactional
public List<Conference> findAll() {
TypedQuery<Conference> query = entityManager
.createQuery("select c from Conference c",
Conference.class);
return query.getResultList();
}
@Transactional
public void save(final Conference conference) {
entityManager.persist(conference);
}
}
@Singleton
public class ConferenceRepository {
@Inject
EntityManager entityManager;
@Transactional
public List<Conference> findAll() {
TypedQuery<Conference> query = entityManager
.createQuery("select c from Conference c",
Conference.class);
return query.getResultList();
}
@Transactional
public void save(final Conference conference) {
entityManager.persist(conference);
}
}
JPA persistency Conference API
Conference Service
RepoCountryClient
23. Improved Quarkus persistency with Panache
@Entity
public class Conference extends PanacheEntity {
private String name;
public String getName() {
return name;
}
public void setName(final String name) {
this.name = name;
}
@Singleton
public class ConferencePanacheRepository {
public List<Conference> findAll() {
return Conference.listAll();
}
@Transactional
public void save(final Conference conference) {
conference.persist();
}
}
24. Micronaut Data
@Repository
public interface ConferenceCrudRepository extends CrudRepository<Conference, Long> {
List<Conference> findByName(String name);
List<Conference> listOrderByName();
List<Conference> listOrderByNameDesc();
List<Conference> findTop3ByNameLike(String name);
}
@Repository
public interface ConferenceCrudRepository extends CrudRepository<Conference, Long> {
}
@JdbcRepository
public interface ConferenceCrudRepository extends CrudRepository<Conference, Long> {
List<Conference> findByName(String name);
List<Conference> listOrderByName();
List<Conference> listOrderByNameDesc();
List<Conference> findTop3ByNameLike(String name);
}
No more
JPA / Hibernate needed!
25.
26.
27. Integration testing
@MicronautTest(environments = { "test" })
public class ConferenceITTest {
@Inject
EmbeddedServer embeddedServer;
@Test
@Transactional
public void testConferences() {
Conference conference = new Conference();
conference.setName("Devoxx");
given().body(conference)
.port(embeddedServer.getPort())
.contentType("application/json")
.when()
.post("/conferences")
.then()
.statusCode(200);
given().port(embeddedServer.getPort())
.when()
.get("/conferences")
.then()
.extract()
.path("[0].name")
.equals(“Devoxx");
}
application-test.yml
micronaut:
server:
port: -1
@QuarkusTest
public class ConferenceIT {
@Test
@Transactional
public void testConferences() {
Conference conference = new Conference();
conference.setName("Devoxx");
given().body(conference)
.contentType("application/json")
.when()
.post("/conferences")
.then()
.statusCode(204);
given()
.when()
.get("/conferences")
.then()
.extract()
.path("[0].name")
.equals("Devoxx");
}
quarkus.http.test-port=0
application.properties
28. Integration testing with Quarkus
@QuarkusTest
public class ConferenceIT {
@Inject
ConferenceResource conferenceResource;
@Test
public void testConferenceInternal() {
conferenceResource.getAll();
}
}
Testing internally
@Mock
@ApplicationScoped
@RestClient
public class MockCountryClient implements CountryClient {
@Override
public Country getCountryOfConference(String name) {
Country country = new Country();
country.setName("Belgium");
return country;
}
}
Mocking
@MicronautTest(environments = { "test" })
public class ConferenceITTest {
@Inject
private ConferenceController conferenceController;
@Test
public void testConferencesInternal() {
conferenceController.getAll();
}
@MockBean(CountryClient.class)
CountryClient countryClient() {
final CountryClient mock = Mockito.mock(CountryClient.class);
Country country = new Country();
country.setName("Belgium");
when(mock.getCountryOfConference(isA(String.class)))
.thenReturn(country);
return mock;
}
29. Integration testing native images
@SubstrateTest
public class NativeConferenceResourceIT extends ConferenceIT {
// Execute the same tests but in native mode.
}
33. Let’s run the applications!
JVM: port 8100
Native: port 8200
JVM: port 8101
Native: port 8201
docker run -i --rm -p 8200:8080
conference-service-quarkus
docker run -i --rm -p 8201:8080
conference-service-quarkus-micronaut
40. Summary
• Small images, faster startup,
lowest mem usage
• Microprofile Programming
model
• Really fast release cycle
• Close to Spring’s programming model
• Feels little more mature
• Micronaut Data
• More extensive support for existing
cloud environments
• Could do with a nicer
persistency solution
• Few of out-of-the-box
monitoring
• I’d like an initializer site!
Quarkus uses @ConfigProperty from the microprofile specification.
Properties are read from one application.properties file. Profiles are supported. There are three pofiles: dev, test and prod out-of-the-box, but you can specifiy more.
Properties of all profiles have to be specified in either the application.properties (with % as prefix), or through jvm parameters (-D)
Micronaut uses the @Value construction known from SpringBoot. Configuration profiles are supported and implemented by different property files like –T.yml.
This seems a little more clear than with Quarkus.
Moreso, micronaut supports integration with Spring Cloud Config server.
Both quarkus and micronaut support Hibernate for database access, with automatic schema generation.
Both frameworks support entity managers, no problem. But this feels a little... Well... Midlevel.
Quarkus support Panache, which makes life a little bit easier. (show)
Micronaut has Micronuat data (formerly predator), which is now on milestone 3. It has a programming model similair to Spring Data, where you can useto make declarative interfaces, as we will see now. Evenmore, you can use this so generate repos base don pure jdbc access, which is really cool.
Definitely points to Micronaut here!
Of course jdbc cannot do stuff like lazy loading, dirty checking, optimistic locking and stuff.
Quarkus has the @QuarkusTest annotation which spins up a test version of the application. By default, it spins up on port 8081, so not a random port as we saw in Spring Boot, for example.
Mock objects are supported for stubbing test clients.
Micronaut has @MicronautTest annotation, same thing. Default is port 8081. Now, micronaut does not recieve the port binding automatically, so you have to set it yourself.
Mocking is done through the @MockBean annotation, which you can use to specify any mock you want, for example with Mockito.
You can start micronaut with a java –jar target\...jar command.
Quarkus doesn’t build fat jars of the box, so if you want to do that, you need to specify the <uberJar> configuration in your maven-quarkus-plugin.
If we start the application with java-jar, quarkus is notably quicker here then micronaut, but both are faster than SpringBoot. File size wise, there is not much difference. Quarkus fat jar is 42MB while Micronaut’s is 46MB, both definately smaller than any Spring Boot application that boast the same functionality.
Mmemory usage:
Quarkus: 425MB/176MB
SpringBoot: 547MB/428MB
Micronaut: 541MB/251MB
Points go to Quarkus here.
You can start micronaut with a java –jar target\...jar command.
Quarkus doesn’t build fat jars of the box, so if you want to do that, you need to specify the <uberJar> configuration in your maven-quarkus-plugin.
If we start the application with java-jar, quarkus is notably quicker here then micronaut, but both are faster than SpringBoot. File size wise, there is not much difference. Quarkus fat jar is 42MB while Micronaut’s is 46MB, both definately smaller than any Spring Boot application that boast the same functionality.
Mmemory usage:
Quarkus: 425MB/176MB
SpringBoot: 547MB/428MB
Micronaut: 541MB/251MB
Points go to Quarkus here.
You can start micronaut with a java –jar target\...jar command.
Quarkus doesn’t build fat jars of the box, so if you want to do that, you need to specify the <uberJar> configuration in your maven-quarkus-plugin.
If we start the application with java-jar, quarkus is notably quicker here then micronaut, but both are faster than SpringBoot. File size wise, there is not much difference. Quarkus fat jar is 42MB while Micronaut’s is 46MB, both definately smaller than any Spring Boot application that boast the same functionality.
Mmemory usage:
Quarkus: 425MB/176MB
SpringBoot: 547MB/428MB
Micronaut: 541MB/251MB
Points go to Quarkus here.
You can start micronaut with a java –jar target\...jar command.
Quarkus doesn’t build fat jars of the box, so if you want to do that, you need to specify the <uberJar> configuration in your maven-quarkus-plugin.
If we start the application with java-jar, quarkus is notably quicker here then micronaut, but both are faster than SpringBoot. File size wise, there is not much difference. Quarkus fat jar is 42MB while Micronaut’s is 46MB, both definately smaller than any Spring Boot application that boast the same functionality.
Mmemory usage:
Quarkus: 425MB/176MB
SpringBoot: 547MB/428MB
Micronaut: 541MB/251MB
Points go to Quarkus here.