Fireside chat with RedMonk, FedEx and Zend


What is it about PHP that has delivered such wide appeal from developers and enterprises for over 10 years, and what is driving all the buzz with the new PHP 7?

Join us as principal analyst and co-founder of RedMonk, Stephen O’Grady, leads a discussion between Federico Lara, CTO of FedEx CrossBorder and Andi Gutmans, Zend co-founder and Rogue Wave Software executive vice president.

Along with discussing the wide appeal of PHP, the panel will talk about:

  • Why enterprise developers should use PHP
  • What should be considered when developing applications
  • Where DevOps fits in to the bigger picture of development
  • What enterprise requirements should be considered (from compliance to performance)

Register today, spots are limited.
Wednesday, January 27th
9:00 am PDT, 12:00 pm EDT, 4:00 pm GMT

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Apache Kafka – A high-throughput distributed messaging system.

kafka_logoApache Kafka

A high-throughput distributed messaging system.

Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.

What does all that mean?

First let’s review some basic messaging terminology:

  • Kafka maintains feeds of messages in categories called topics.
  • We’ll call processes that publish messages to a Kafka topic producers.
  • We’ll call processes that subscribe to topics and process the feed of published messages consumers..
  • Kafka is run as a cluster comprised of one or more servers each of which is called a broker.

producer_consumer

Download Apache Kafka

HTML5 Page Structure Example

html5

Getting started

<!DOCTYPE HTML>
<html>
<head>
<meta charset="UTF-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>Website Title</title>
<!--[if lt IE 9]>
<script src="https://oss.maxcdn.com/html5shiv/3.7.2/html5shiv.min.js"></script>
<![endif]-->
</head>
<body>
<header>
<nav>
<ul>
<li>Item 1</li>
<li>Item 2</li>
<li>Item 3</li>
</ul>
</nav>
</header>

<main>
<section>
<article>
<header>
<h2>Article title 1</h2>
<p>Posted on <time datetime="2015-12-17">December 17, 2015</time> by <a href="#">Author</a> - <a href="#">0 comments</a></p>
</header>
<p>Lorem ipsum dolor sit amet, consectetur adipiscing elit...</p>
</article>

<article>
<header>
<h2>Article title 2</h2>
<p>Posted on <time datetime="2015-12-17">December 17, 2015</time> by <a href="#">Author</a> - <a href="#">0 comments</a></p>
</header>
<p>Quisque ut vulputate nisl...</p>
</article>

</section>

<aside>
<h2>Sidebar</h2>
<p>Aenean nec rutrum erat.</p>
</aside>
</main>

<footer>
<p>© 2015 Website name</p>
</footer>
</body>
</html>


HTML5 Powered with Connectivity / Realtime, CSS3 / Styling, Device Access, Graphics, 3D & Effects, Multimedia, Performance & Integration, Semantics, and Offline & Storage

Big Sur – Facebook’s AI hardware design

big-sur

Faster, more versatile, and efficient neural network training

Big Sur is our newest Open Rack-compatible hardware designed for AI computing at a large scale. In collaboration with partners, we’ve built Big Sur to incorporate eight high-performance GPUs of up to 300 watts each, with the flexibility to configure between multiple PCI-e topologies. Leveraging NVIDIA’s Tesla Accelerated Computing Platform, Big Sur is twice as fast as our previous generation, which means we can train twice as fast and explore networks twice as large. And distributing training across eight GPUs allows us to scale the size and speed of our networks by another factor of two.

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