Un talk sur Realm, nom d’une startup Californienne qui publie un framework éponyme de persistence de données. Venez découvrir ce framework et vous changerez (à jamais) votre façon de concevoir la persistence de données.
Un talk sur Realm, nom d’une startup Californienne qui publie un framework éponyme de persistence de données. Venez découvrir ce framework et vous changerez (à jamais) votre façon de concevoir la persistence de données.
An Engineering Organization set up with the sole purpose of Enhancing Engineering in all its infinite ways that it gets executed world over through building up & nurturing “infiDOF Ecosystem” – Universal set of all those who operate in the Engineering Domain, e.g. OEMs, Service Providers, Training Institutes, Colleges, Resources, etc.
Introduction de la journée du 22 Juin pour la convention annuelle du CRIP pour le groupe Cloud Computing. Présentation des travaux 2011, du nouveau livre blanc et de la feuille de route pour la saison 2012.
Cybersecurity: How to Use What We Already Knowjxyz
Slides from my PSR keynote on how to secure software by bridging the gap between research and practice.
Video: https://t.co/mRr4CMrfKN
Event: https://iapp.org/conference/privacy-security-risk-2015
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Philly ETE 2016: Securing Software by Constructionjxyz
The high-profile attacks and data-breaches of the last few years have shown us the importance of securing our software. While it is good that we are seeing more tools that can analyze systems for vulnerabilities, this does not help the programmer write secure code in the first place. To prevent security from becoming a bottleneck–and expensive security mistakes from becoming increasingly probable–we need to look to techniques that allow us to secure software by construction.
This talk has two parts. First, I will present technical ideas from research, including my own, that help secure software by construction. Even though these are reasonable ideas, however, the gap between academia and industry often prevents these ideas from becoming realized in practice. Second, I will discuss what prevents longer-term security solutions from being commercialized, how we started the Cybersecurity Factory accelerator bridge the research/industry gap, and how we can work together to address the issues that remain.
http://2016.phillyemergingtech.com/session/securing-software-by-construction/
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"Delegates, Delegates everywhere" Владимир МироновAvitoTech
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Building Scalable Stateless Applications with RxJavaRick Warren
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An Engineering Organization set up with the sole purpose of Enhancing Engineering in all its infinite ways that it gets executed world over through building up & nurturing “infiDOF Ecosystem” – Universal set of all those who operate in the Engineering Domain, e.g. OEMs, Service Providers, Training Institutes, Colleges, Resources, etc.
Introduction de la journée du 22 Juin pour la convention annuelle du CRIP pour le groupe Cloud Computing. Présentation des travaux 2011, du nouveau livre blanc et de la feuille de route pour la saison 2012.
Cybersecurity: How to Use What We Already Knowjxyz
Slides from my PSR keynote on how to secure software by bridging the gap between research and practice.
Video: https://t.co/mRr4CMrfKN
Event: https://iapp.org/conference/privacy-security-risk-2015
IoT gateway dream team - Eclipse Kura and Apache CamelHenryk Konsek
Eclipse Kura is the well recognized field gateway for Internet Of Things applications. Apache Camel is the message routing engine and the library containing a gazillions of the various endpoint connectors. Are you interested in finding out how these two can be joined together to create a rocking IoT solution? Then tune in to this talk!
Philly ETE 2016: Securing Software by Constructionjxyz
The high-profile attacks and data-breaches of the last few years have shown us the importance of securing our software. While it is good that we are seeing more tools that can analyze systems for vulnerabilities, this does not help the programmer write secure code in the first place. To prevent security from becoming a bottleneck–and expensive security mistakes from becoming increasingly probable–we need to look to techniques that allow us to secure software by construction.
This talk has two parts. First, I will present technical ideas from research, including my own, that help secure software by construction. Even though these are reasonable ideas, however, the gap between academia and industry often prevents these ideas from becoming realized in practice. Second, I will discuss what prevents longer-term security solutions from being commercialized, how we started the Cybersecurity Factory accelerator bridge the research/industry gap, and how we can work together to address the issues that remain.
http://2016.phillyemergingtech.com/session/securing-software-by-construction/
Productionizing Spark and the Spark Job ServerEvan Chan
You won't find this in many places - an overview of deploying, configuring, and running Apache Spark, including Mesos vs YARN vs Standalone clustering modes, useful config tuning parameters, and other tips from years of using Spark in production. Also, learn about the Spark Job Server and how it can help your organization deploy Spark as a RESTful service, track Spark jobs, and enable fast queries (including SQL!) of cached RDDs.
"Delegates, Delegates everywhere" Владимир МироновAvitoTech
Поговорим про delegated properties и все, что с ними связано. Узнаем, зачем они нужны, какие delegated properties предоставляет стандартная библиотека, напишем несколько своих и рассмотрим более сложные примеры, которые могут быть полезны в мире android-разработки. Мы также посмотрим, во что delegated properties превращаются во время компиляции, и какие сюрпризы нас могут ожидать.
Building Scalable Stateless Applications with RxJavaRick Warren
RxJava is a lightweight open-source library, originally from Netflix, that makes it easy to compose asynchronous data sources and operations. This presentation is a high-level intro to this library and how it can fit into your application.
New languages bring new ways of thinking and teach us new principles and tools that we can bring back to your day to day language.
Using a real application as an example, we will learn how to build and design Java applications that follow Clojure’s functional principles using just core Java, without any libraries, lambdas, streams or weird syntax; and we will see what benefits those functional principles can bring.
Over the past few years, web-applications have started to play an increasingly important role in our lives. We expect them to be always available and the data to be always fresh. This shift into the realm of real-time data processing is now transitioning to physical devices, and Gartner predicts that the Internet of Things will grow to an installed base of 26 billion units by 2020.
Reactive web-applications are an answer to the new requirements of high-availability and resource efficiency brought by this rapid evolution. On the JVM, a set of new languages and tools has emerged that enable the development of entirely asynchronous request and data handling pipelines. At the same time, container-less application frameworks are gaining increasing popularity over traditional deployment mechanisms.
This talk is going to give you an introduction into one of the most trending reactive web-application stack on the JVM, involving the Scala programming language, the concurrency toolkit Akka and the web-application framework Play. It will show you how functional programming techniques enable asynchronous programming, and how those technologies help to build robust and resilient web-applications.
In recent years we have seen explosion of languages which run on Java Virtual Machine. We also have seen existing languages getting their implementations being rewritten to JVM. With all of the above we have seen rapid development of tools like parsers, bytecode generators and such, even inside JVM we saw initiatives like Da Vinci Machine Project, which led to invoke dynamic in JDK 7 and recent development of Graal and Truffle projects.
Is it really hard to write new programming language running on JVM? Even if you are not going to write your own I think it is worth to understand how your favorite language runs undercover, how early decisions can impact language extensibility and performance, what JVM itself and JVM ecosystem has to offer to language implementors.
During session I will try to get you familiar with options you have when choosing parsers and byte code manipulation libraries. which language implementation to consider, how to test and tune your "new baby". Will you be able after this session to develop new and shiny language, packed with killer features language? No. But for sure you will understand difference between lexers and parsers, how bytecode works, why invoke dynamic and Graal and Truffle are so important to the future of JVM platform. Will we have time to write simple, compiled language?
Yes, we will, just to show you that even person who didn't studied computer science, compilers theory, and for majority of his life didn't know what AST is, can do it :)
Shazam is a very popular audio recognition app. It is installed on 100M+ Android devices and it’s growing rapidly. In this talk, we will address how we made the release schedule faster, more predictable and with more features by using BDD and automation testing.
We’ll demonstrate how that can be done without slowing down or hindering the development process and why our developers actually find writing tests is fun. Finally, we’ll look at how our testing strategy has translated to our testing framework and hardware infrastructure.
Java/Scala Lab: Анатолий Кметюк - Scala SubScript: Алгебра для реактивного пр...GeeksLab Odessa
SubScript - это расширение языка Scala, добавляющее поддержку конструкций и синтаксиса аглебры общающихся процессов (Algebra of Communicating Processes, ACP). SubScript является перспективным расширением, применимым как для разработки высоконагруженных параллельных систем, так и для простых персональных приложений.
How do you create applications with an incredible level of extendability without losing readability in the process? What if there's a way to separate concerns not only on the code, but on the service definition level? This talk will explore structural and behavioural patterns and ways to enrich them through tricks of powerful dependency injection containers such as Symfony2 DIC component.
Monitoring Your ISP Using InfluxDB Cloud and Raspberry PiInfluxData
When a large group of people change their habits, it can be tricky for infrastructures! Working from home and spending time indoor today means attending video calls and streaming movies and tv shows. This leads to increased internet traffic that can create congestion on the network infrastructure. So how do you get real-time visibility into your ISP connection? In this meetup, Mirko presents his setup based on a time series database and Raspberry Pi to better understand his ISP connection quality and speed — including upload and download speeds. Join us to discover how he does it using Telegraf, InfluxDB Cloud, Astro Pi, Telegram and Grafana! Finally, proof that your ISP connection is (or is not) as fast as it promises.
Presentation at DevoxxBE 2023.
Related talks:
Write your own Java Profiler in 240 lines of pure Java: https://devoxx.be/talk/?id=39109
A Glance At The Java Performance Toolbox : https://devoxx.be/talk/?id=35404
Slide deck from https://2019.javazone.no/program/3f04cac9-ffdf-44ea-9604-454aedc87ea9 . Contains references. It probably makes more sense to see the video, link will be added below
Slides with references to my JavaZone 2016 talk "Java Debugging Tricks". Slides on their own are not that informative, but contain references. Check out the video for actual demonstration: https://2016.javazone.no/program/java-debugging-tricks
You have probably noticed the excitement regarding functional programming and the new lambda expression in Java 8. But did you know that this also brings Java back to its object-oriented roots?
The Smalltalk programming language shows how virtually any task can be achieved through good old object orientation. Everything is built with the basic ingredients of objects, messages and blocks (lambda).
Smalltalk uses lambda expressions for conditional processing, iteration and exception handling. We will look at some fascinating examples, and discuss if and how to apply them in Java.
We Java programmers now find ourselves with a brand new lambda tool in our toolbox. Lets take the time to learn from the past about the power of object orientation and lambdas.
Large Language Models and the End of ProgrammingMatt Welsh
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We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
Custom Healthcare Software for Managing Chronic Conditions and Remote Patient...Mind IT Systems
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Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
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We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
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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.
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
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/
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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.
Prosigns: Transforming Business with Tailored Technology SolutionsProsigns
Unlocking Business Potential: Tailored Technology Solutions by Prosigns
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Custom Software Development: Prosigns specializes in creating bespoke software solutions that cater to your unique business needs. Our team of experts works closely with you to understand your requirements and deliver tailor-made software that enhances efficiency and drives growth.
Web and Mobile App Development: From responsive websites to intuitive mobile applications, Prosigns develops cutting-edge solutions that engage users and deliver seamless experiences across devices.
AI & ML Solutions: Harnessing the power of Artificial Intelligence and Machine Learning, Prosigns provides smart solutions that automate processes, provide valuable insights, and drive informed decision-making.
Blockchain Integration: Prosigns offers comprehensive blockchain solutions, including development, integration, and consulting services, enabling businesses to leverage blockchain technology for enhanced security, transparency, and efficiency.
DevOps Services: Prosigns' DevOps services streamline development and operations processes, ensuring faster and more reliable software delivery through automation and continuous integration.
Microsoft Dynamics 365 Support: Prosigns provides comprehensive support and maintenance services for Microsoft Dynamics 365, ensuring your system is always up-to-date, secure, and running smoothly.
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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/
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.
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This shift is particularly impactful for enterprises, which require robust, scalable, and efficient software to manage their operations. In this article, we will explore the various facets of enterprise software development with no-code solutions, examining their benefits, challenges, and the future potential they hold.
2. Iteration Problem
Root
x
y z
public class Node {
private Object data;
private Map<String, Node> children;
}
u
v
3. Recursion
• Need to traverse model
void recursiveX() {
x();
for (final Node child : children.values())
child.recursiveX();
}
• recursiveY()
• recursiveZ()
• ...
4. External Iteration : Iterator
• Any way to implement recursion once and for
all ?
• Iterator pattern (Java >= 1.2 )
• Wikipedia:
” the iterator pattern is a design pattern in
which an iterator is used to traverse a
container and access the container's
elements”
5. Client In Control
Iterator Behaviour
Root
x
y z
u
v
Client
Iterator()
next()
Iterator
6. Iterator Issues
• The iterator instance has state
– Strong references to provider and internal state
• implementation often difficult
• Thread unsafe by design
7. Internal Iteration - Visitor
• The visitor pattern
• Wikipedia:
” the visitor design pattern is a way of
separating an algorithm from an object
structure on which it operates”
8. Visitor Behaviour
Provider in Control
Root
x
y z
u
v
Client
visitor()
Visitor
accept(Visitor)
visit(Node)
visit(Node)
visit(Node)
12. Visitor – Limitations (Lambda)
• Limited access to local scope
– Final and effectively final variables
• Early exit not possible
– break
– return
13. Internal iteration in Java 8 -
Stream
• java.util.Stream
• Not limited to collections
• Many powerful methods
• Potential gains
– Lazy evaluation
– Parallell execution
• The default implementation (StreamSupport) is
based on (spl)iterators
14. LIMITATIONS
callback()
Stream In Control
Stream
Support
(Spl)Iterator
Default Stream
Implementation
Root
x
y z
u
v
stream() Client
next()
22. Summary
• Many advantages to internal iteration
– Control
– Simplified implementation
– Nice abstraction
• Streams are powerful
– Create your own – it is not that hard
23. Thank You for
Your Time!
Martin Skarsaune
Java Developer and Co-Owner
Editor's Notes
Welcome everyone to this talk.
My name is Martin Skarsaune.
I work as a Java Developer at Kantega.
Today I am going to talk a bit about iteration in general, in light of the new Stream interface in Java 8.
So, this may be a familiar situation.
Your application has some sort of hierarchical data structure.
We see that each node has a map of children.
At times there is a need to traverse the structure to apply some sort of business logic.
The most intuitive and elegant way to do this is by recursion.
So we create a recursiveX method to apply x to all items,
…and a recursive method to apply Y
…and a recursive method to apply Z
And so on
The question then is, are there any alternatives to write all this repetitive code ?
It would also be nice if the traversal was not so tightly coupled with the internal structure.
Traditionally iterators have been the dominant approach in Java.
So how does iterators work?
The provider hands over an iterator instance to the client.
From that point on the client drives the iteration.
The iterator must have sufficient state and knowledge to know its position and how to proceed to the next item.
There are some inherent drawbacks with the iterator pattern.
The iterator instance has state and direct references back to the provider and its internal state.
Implementation is often difficult, complex code is more error prone.
For me this is the most important drawback.
You can of course cheat, as I have done many times. Write a recursive method to return a collection of items and pass an iterator to that collection instead.
It may be an ok solution for 100 items, but less so if there are a million.
The iterator is limited to sequential execution
So what alternatives do we have? Another design pattern dealing with iteration is the visitor pattern.
Now how does the visitor pattern work compared to the iterator pattern ?
Here we see that the provider drives the iteration with callbacks back to the client.
So, how could we use a visitor in our example.
First we define a Visitor interface. We see that it only contains one abstract method, and can therefore be used as a functional interface in Java 8.
Then we look at the specific recursive method we created initially.
How can we generalize it to accommodate the Visitor?
If we make a slight modification to our recursive method.
We add the visitor as an argument and call the callback method of the visitor instead of calling x
Now we can easily reuse this method with a lambda argument to reach all elements.
To call x ….
Or y ….
Or z …
So, this seems to be a much more elegant solution to iteration, but what are the drawbacks ?
Since the iteration body is implemented as a lambda, there are certain restrictions.
You do not have full access to the enclosing method scope, only final and effectively final variables.
The iteration will always go through all the items, it is not possible to abort.
So now we have a nice general purpose iteration mechanism.
Is there anything more we can achieve?
Java 8 introduces a powerful new Stream concept.
A stream is as the name implies, a stream of objects.
The stream concept is not limited to collections, this is in my eyes a good design decision as stream is a broader concept and the collection API is bloated enough as it is.
Streams have many powerful methods, and open a lot of possibilities as the iteration is not controlled by the client.
For instance paralell execution and lazily evaluated pipes of streams.
The default implementation in Java is called StreamSupport.
One disappointing thing is that it is based on iterators.
So what now if we want to add stream support to our datastructure with StreamSupport?
In my opinion we get the worst of both worlds.
The provider gets the burden of implementing an iterator, while the client is limited by the restrictions of internal iteration.
What I would really like is to get rid of the dependency on iterator.
So in what way can we extend our visitor implementation to support stream ?
First we generalize our visitor.
Then we introduce a new interface to represent a structure that will accept a visitor
Then we modify the accept method to accept the generic visitor and allow Node to implement the Visitable interface.
But how does this bring us any closer to support for streams.
Instead of Javas built in StreamSupport we create a new Stream implementation called VisitorStream based on a Visitable.
The node class may easily now offer a VisitorStream based stream to clients.
I have organized most of the metods into categories.
Lets see how we intend to support each of them.
First of all ,we do not want to support iterators.
1. Then we look at the very basics.
Streams are about iteration.
We see that the forEach method is easily implemented in a functional manner where one function wraps another.
2. Output is trivial, we simply put the results in a collection
3. Reduction methods are used to combine all the items of a stream into one result.
The implementation is also quite straightforward, 3-4 lines of quite intuitive code
4. By pipeline methods, we mean methods that give new streams on top of other streams.
Implementation here is also quite intuitive, a pipeline pattern where the output of the underlying stream is altered by the stream on top.
5. I have categorized some methods as early exit.
This means that the result may be obtained without visiting all the items.
We could of course let the iteration complete, but it is suboptimal.
A quite simple extension to the iterator interface is
There are some inherent drawbacks with the iterator pattern.
The iterator instance has state and direct references back to the provider and its internal state.
Implementation is often difficult, complex code is more error prone.
For me this is the most important drawback.
You can of course cheat, as I have done many times. Write a recursive method to return a collection of items and pass an iterator to that collection instead.
It may be an ok solution for 100 items, but less so if there are a million.
The iterator is limited to sequential execution