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This short document promotes creating presentations using Haiku Deck on SlideShare. It encourages the reader to get started making their own Haiku Deck presentation by simply clicking the "GET STARTED" prompt. In just one sentence, it pitches presentation creation using Haiku Deck on SlideShare's platform.

Philip Kitcher critiques the idea that classical genetics can be reduced to molecular genetics through intertheory reduction. He argues that two key requirements for reduction - R1 and R2 - are not met. R1 requires classical genetics to have general laws that could be derived from molecular genetics, but Kitcher shows Mendel's laws do not serve this purpose. R2 requires bridge principles connecting classical and molecular concepts, but Kitcher finds this cannot be done since genes are analyzed differently in the two theories. Overall, Kitcher refutes the view that classical genetics is deducible from molecular genetics via Nagelian reduction.

Guice - dependency injection framework

Evgeny Barabanov

מכתב המלצה - לירן פרידמןLiran Fridman

Responsive Web Design

Nir Elbaz

Work-for-hire Game Studios: Elevate Your Game

Gur Dotan

Hibernate caching

Alex Verdyan

Hibernate provides two levels of caching: a session-level cache (L1) and a session factory-level cache (L2). The L1 cache is enabled by default and caches objects retrieved and saved during a session. The L2 cache caches objects across sessions and can improve performance by reducing database load. It is configurable and can be clustered. Hibernate also supports a query cache that caches query results, but it requires careful configuration to avoid issues from invalidated data.

Dynamo and BigTable - Review and Comparison

Grisha Weintraub

What is exactly anti fragile in dev ops - v3

Asher Sterkin

This document discusses concepts related to anti-fragility from the book "Antifragile" applied to DevOps. It covers key topics such as continuous delivery, reducing batch sizes, embedding project knowledge into operations and vice versa, maintaining a barbell approach of balancing risk aversion with risk-taking, and ensuring asymmetric payoffs from failures versus successes. The document also examines anti-fragile characteristics of systems like Netflix and emphasizes making systems stronger through learning from failures rather than obsessively avoiding all failures.

Slides from Ian Forsey and Ariel Kogan's session at Skill Matter's Scala Exchange 2013. ------------------------------------------------- In this session we will share our experience at Net-a-porter, creating our first reactive Scala/Akka/Spray service in a company with a long-standing Java codebase and production infrastructure. We've heard how Twitter and LinkedIn adopted Scala on greenfield initiatives and we're excited to use a more expressive language running on a robust, familiar VM. But is the ecosystem ready to support the demands of a long-established enterprise infrastructure, mission-critical (non-Scala!) middleware and the traditional dev-test-release workflow? We'll start by exposing what drove our decision to dive into Scala. Next: We'll talk about some of the challenges we faced designing, building, load testing and debugging our service. We will discuss some of the patterns we used moving to a more reactive platform, the availability/maturity of the tooling and some of the framework code we had to write. Finally we'll outline the benefits gained through embarking on this project and any prices we have paid for doing so.

JavaScript TDD

Uri Lavi

This document discusses testing JavaScript code using test-driven development (TDD) principles with MVVM and Knockout.js. It introduces TDD and its importance in preventing failures from changes. Model-view-viewmodel (MVVM) patterns are demonstrated as better for testing than directly linking models and views. Knockout.js is presented as a binding mechanism between MVVM components. The document concludes by introducing the jasmine testing framework for implementing TDD with JavaScript code.

Orchestration tool roundup - OpenStack Israel summit - kubernetes vs. docker...

Uri Cohen

It’s no news that containers represent a portable unit of deployment, and OpenStack has proven an ideal environment for running container workloads. However, where it usually becomes more complex is that many times an application is often built out of multiple containers. What’s more, setting up a cluster of container images can be fairly cumbersome because you need to make one container aware of another and expose intimate details that are required for them to communicate which is not trivial especially if they’re not on the same host. These scenarios have instigated the demand for some kind of orchestrator. The list of container orchestrators is growing fairly fast. This session will compare the different orchestation projects out there - from Heat to Kubernetes to TOSCA - and help you choose the right tool for the job.

HagayOnn_EnglishCV_ 2016

Hagay Onn (the Spot)

Hagay Onn is an experienced software architect and technology consultant based in Israel with over 20 years of experience in fields including networking, web development, mobile applications, and advertising. He has a bachelor's degree in computer engineering and has held roles such as senior developer, freelance consultant, and CTO for various companies. His expertise includes areas such as Java, C/C++, Python, SQL, HTML/CSS, networking protocols, and big data analysis.

What's the Magic in LinkedIn?

Efrat Fenigson

A presentation on what's the magic in LinkedIn? LinkedIn's DNA & recipe, tips, tricks and examples. Presented at Sosa Tel Aviv, on 1/3/16 at the Israeli Marketing Innovation Forum conference - a LinkedIn event, with Tal Shmueli, Linkedin Marketing Solutions Account Manager, Tsur Shraibman, Linkedin Marketing Solutions Account Executive and Efrat Fenigson, Senior Director of Marketing Communications at Viaccess-Orca (Orange group)

Not your dad's h base new

Yaniv Rodenski

Gilad and Yaniv presented on their company's migration from Oracle to Hadoop-based technologies to handle increasing volumes of dynamic data from billions of devices. They used Apache Phoenix to provide SQL access for analytics, addressing early data access challenges. They also used Titan graph database on HBase to model relationships between clients and devices, addressing family data modeling needs. While performance tuning was required as data volumes grew, they now ingest over 1.7 billion edges and vertices into their graph regularly.

Scrum. software engineering seminar

Alexandr Gavrishev

Scrum is a framework for developing complex products and systems. It employs an iterative, incremental approach with three roles - Product Owner, Scrum Master, and Team - and four meetings - Planning, Daily Scrum, Review, and Retrospective. The Product Owner prioritizes items in the Product Backlog and accepts or rejects work results. The cross-functional Team selects and delivers the highest priority backlog items within a Sprint. The Scrum Master helps the Team achieve their goals and shields them from distractions.

Storm at Forter

Re'em Bensimhon

Joy of scala

Maxim Novak

"The joy of Scala" - Maxim Novak / Wix Around eight years ago I started my journey as a developer. Since then, I've played around with many languages and thought that C# offers the best developer productivity. After joining Wix two years ago, I was exposed to the amazing world of Scala and Functional Programming and never looked back. In Scala the code is much more concise, less ceremonious, immutable by default, combines functional with object oriented, seamlessly interoperates with Java, and many software engineering patterns are already baked into the language. Most importantly - Scala is FUN! By the end of the session you too will, hopefully, convert to Scala and never look back. Recording of the lecture (Hebrew) - https://youtu.be/TcnYTwff2xU

Code quality as a built-in process

Elad Maimon

This document discusses various techniques for maintaining code quality, including pair programming, test-driven development, code reviews, and self-documenting code. It notes that pair programming involves two developers sharing one monitor, keyboard, and mouse to collaboratively write code. Benefits include higher quality code, knowledge sharing, and a teaching tool. Code reviews search for bugs, design flaws, nonconformance with requirements or style guides. Comments should explain why code is written a certain way rather than describing how.

How does the Internet Work?

Dina Goldshtein

How does Google work? How can a friend user her own computer to enter a Website you developed on your own machine? Where are your Facebook posts saved once you exit the browser? In this talk we will learn the general ideas behind the Internet, what the main components of a Web application are and what happens from the moment you open the browser, enter an address and until you can see the Website with all the relevant data. This talk was given at the she codes; Google Campus branch. The lecture recording is available here: https://youtu.be/qys1rsBRhUs

Lessons Learned with Unity and WebGL

Lior Tal

How fast ist it really? Benchmarking in practice

Tobias Pfeiffer

“What’s the fastest way of doing this?” - you might ask yourself during development. Sure, you can guess what’s fastest or how long something will take, but do you know? How long does it take to sort a list of 1 Million elements? Are tail-recursive functions always the fastest? Benchmarking is here to answer these questions. However, there are many pitfalls around setting up a good benchmark and interpreting the results. This talk will guide you through, introduce best practices and show you some surprising benchmarking results along the way.

Continuous Deployment into the Unknown with Artifactory, Bintray, Docker and ...

Gilad Garon

VMware’s Common SaaS Platform (CSP) is a brand new offering designed to enhance the productivity of developers and cloud providers by equipping them with a set of common and configurable capabilities (such as Identity, Telemetry, Account Management, Billing etc.), thus enabling them to focus on their core businesses. But enough with the product pitch. CSP is distributed to numerous cloud providers around the globe, used by developers and IT alike to empower their services and better answer the business need of their customers. Please join us and witness how we take continuous delivery to the next step where sometimes the target environment is not on our control and still seamlessly manage and deliver our unique collection of capabilities, packaged as platform for ease of use, using the best and shiniest tools the frogs can provide.

Optimizing DevOps strategy in a large enterprise

Eyal Edri

Large enterprises today are pacing a flood of multiple devops tools to choose from for their infrastructure. The problem intensifies when you have dozens of devops teams across the world, each with his own background of devops tools and knowledge and each with his own agenda of pushing to use his tools. How would you leverage this distributed, disconnected knowledge into a single working devops knowledge source, and common infrastructure to leverage the whole enterprise? Come and hear about Red Hat Global CI initiative to hear on one possible approach for taking on the battle.

NUnit Features Presentation

Shir Brass

NUnit is a unit testing framework for .NET that allows developers to write and run repeatable tests to determine whether code is functioning as intended. Key features of NUnit include support for multiple test assemblies and configuration files, attributes and assertions to structure tests and validate results, and the ability to group tests into categories and run them in isolated test environments using theories and data-driven approaches.

Node.js meetup at Palo Alto Networks Tel Aviv

Ron Perlmuter

Scaling out logistic regression with Spark

Barak Gitsis

This document discusses scaling out logistic regression with Apache Spark. It describes the need to classify a large number of websites using machine learning. Several approaches to logistic regression were tried, including a single machine Java implementation and moving to Spark for better scalability. Spark's L-BFGS algorithm was chosen for its out of the box distributed logistic regression solution. Challenges implementing logistic regression at large scale are discussed, such as overfitting and regularization. Methods used to address these challenges include L2 regularization, cross-validation to select the regularization parameter, and extensions made to Spark's LBFGS implementation.

Introduction to Aspect Oriented Programming

Amir Kost