Register Here
Delegates
Sponsorship
  Call For Papers
Speakers
Schedule
Sponsors
Exhibitors
  Sessions
  Videos
  Power Panels
  Presentations
Untitled Document
2018 Platinum Sponsor

2018 Gold Sponsor

2018 Tech Sponsor

2018 Partners

2018 Exhibitors


Untitled Document
2018 Media Sponsors








Untitled Document
2017 West
Premium Sponsors
Diamond



Platinum
@DevOpsSummit

Bronze










Untitled Document
2017 West
Keynote Sponsor


Untitled Document
2017 West Exhibitors
























@ThingsExpo











Untitled Document
2017 West JETRO ×
Six Prefectures
of Japan
Pavilion Exhibitors



















Untitled Document
2017 West Media Sponsors














Untitled Document
2017 East
Premium Sponsors
Diamond



Platinum
@DevOpsSummit

@DevOpsSummit

Silver
@DevOpsSummit


Bronze










Untitled Document
2017 East Exhibitors
@DevOpsSummit




































Untitled Document
2017 East Media Sponsors
















Untitled Document
   
  Think Big – Now Think Even Bigger
  Join Us at Internet of Things at Cloud Expo, November 11-13,
at the Javits Center!


The Internet of Things (IoT) is the most profound change in personal and enterprise IT since the creation of the Worldwide Web more than 20 years ago.

All major researchers estimate there will be tens of billions devices - computers, smartphones, tablets, and sensors - connected to the Internet by 2020. This number will continue to grow at a rapid pace for the next several decades.

With major technology companies and startups seriously embracing IoT strategies, now is the perfect time to attend Internet of Things at Cloud Expo in New York City. Learn what is going on, contribute to the discussions, and ensure that your enterprise is as "IoT-Ready" as it can be!

Delegates to Internet of Things at Cloud Expo will be able to attend eight separate, information-packed tracks:

  • Enterprise Cloud
  • Digital Transformation
  • The API Enterprise | Mobility & Security
  • DevOps | Containers & Microservices
  • Cognitive Computing | AI, ML, DL
  • Big Data | Analytics
  • IoT | IIoT | Smart Cities
  • Hot Topics | FinTech | WebRTC

There are 120 breakout sessions in all, with Keynotes, General Sessions, and Power Panels adding to three days of incredibly rich presentations and content.


We'll see you in New York!



Day 3 Keynote at @ThingsExpo | Chris Matthieu, CTO of Octoblu
In his keynote at @ThingsExpo, Chris Matthieu, Director of IoT Engineering at Citrix and co-founder and CTO of Octoblu, focused on building an IoT platform and company. He provided a behind-the-scenes look at Octoblu's platform, business, and pivots along the way (including the Citrix acquisition of Octoblu).
  Themes & Topics to Be Discussed

Consumer IoT
• Wearables
• Smart Appliances
• Smart Cars
• Smartphones 2.0
• Automation
• Smart Travel
• Personal Fitness
• Health Care
• Personalized Marketing
• Customized Shopping
• Personal Finance
• The Digital Divide
• Mobile Cash & Markets
• Games & The IoT
• The Future of Education
• Virtual Reality

Enterprise IoT
• The Business Case for
x IoT
• Smart Grids
• Smart Cities
• Smart Transportation
• The Smart Home
• M2M
• Authentication/Security
• Wiring the IoT
• The Internet of
x Everything
• Digital Transformation
x of Enterprise IT
• Agriculture
• Transportation
• Manufacturing
• Local & State
x Government
• Federal Government

IoT Developers | WebRTC Summit
• Eclipse Foundation
• Cloud Foundry
• Linux Containers
• Node-Red
• Open Source Hardware
• Ajax and the IoT
• Leveraging SOA
• Multi-Cloud IoT
• Evolving Standards
• WebSockets
• Security & Privacy
x Protocols
• GPS & Proximity
x Services
• Bluetooth/RFID/etc
• XMPP
• Nest Labs



The Top Keynotes, the Best Sessions, a Rock Star Faculty and the Most Qualified Delegates of ANY Internet of Things Event!


The future of computing lies in these things. As computing takes a much more active role in our lives it will at the same time become much more invisible. Internet of Things Expo will address the challenges in getting from where we are today to this future.
 
The high-energy event is a must-attend for senior technologists from CEOs on down – including CIOs, CTOs, directors of infrastructure, VPs of technology, IT directors and managers, network and storage managers, network engineers, enterprise architects, and communications and networking specialists.




@ThingsExpo Power Panel | The World's Many IoTs: Which Are the Most Important?
The Internet of Things is clearly many things: data collection and analytics, wearables, Smart Grids and Smart Cities, the Industrial Internet, and more. Cool platforms like Arduino, Raspberry Pi, Intel's Galileo and Edison, and a diverse world of sensors are making the IoT a great toy box for developers in all these areas. In this Power Panel at @ThingsExpo, panelists discussed what things are the most important, which will have the most profound effect on the world, and what should we expect to see over the next couple of years.
Benefits of Attending the Three-Day Technical Program
  LEARNexactly why Internet of Things is relevant today from an economic, business and technology standpoint.
  HEAR first-hand from industry experts the common issues and requirements for creating a platform for the Internet of Things.
  SEE what new tools and approaches the Internet of Things requires.
  DISCOVER how to drive a distributed approach to the Internet of Things, where applications move to the data.
  FIND OUThow the vast volumes of new data produced by the Internet of Things provides a valuable new source of business insight through advanced analytical techniques.
  MASTER how the ongoing development of smart cities, cars, and houses will enhance connectivity infrastructure.
Lunch Power Panel | Microservices & IoT- Moderated by Jason Bloomberg
In this Power Panel at @DevOpsSummit, moderated by Jason Bloomberg, president of Intellyx, panelists Roberto Medrano, Executive Vice President at Akana; Lori MacVittie, Evangelist for F5 Networks; and Troy Topnik, ActiveState's Technical Product Manager; and Otis Gospodnetic, founder of Sematext; peeled away the buzz and discuss the important architectural principles behind implementing IoT solutions for the enterprise. As remote IoT devices and sensors become increasingly intelligent, they become part of our distributed cloud environment, and we must architect and code accordingly. At the very least, you'll have no problem filling in your buzzword bingo cards.


Finally Getting the Most out of the Java Thread Pool | @CloudExpo #JVM #Java #Cloud
Thread pool is a core concept in multithreaded programming that represents a collection of idle threads used to execute tasks

Finally Getting the Most out of the Java Thread Pool
By Eugen Paraschiv

First, let's outline a frame of reference for multithreading and why we may need to use a thread pool.

A thread is an execution context that can run a set of instructions within a process - aka a running program. Multithreaded programming refers to using threads to execute multiple tasks concurrently. Of course, this paradigm is well supported on the JVM.

Although this brings several advantages, primarily regarding the performance of a program, multithreaded programming can also have disadvantages - such as increased complexity of the code, concurrency issues, unexpected results and adding the overhead of thread creation.

In this article, we're going to take a closer look at how the latter issue can be mitigated by using thread pools in Java.

Why Use a Thread Pool?
Creating and starting a thread can be an expensive process. By repeating this process every time we need to execute a task, we're incurring a significant performance cost - which is exactly what we were attempting to improve by using threads.

For a better understanding of the cost of creating and starting a thread, let's see what the JVM actually does behind the scenes:

  • It allocates memory for a thread stack that holds a frame for every thread method invocation
  • Each frame consists of a local variable array, return value, operand stack and constant pool
  • Some JVMs that support native methods also allocate a native stack
  • Each thread gets a program counter that tells it what the current instruction executed by the processor is
  • The system creates a native thread corresponding to the Java thread
  • Descriptors relating to the thread are added to the JVM internal data structures
  • The threads share the heap and method area

Of course, the details of all this will depend on the JMV and the operating system.

In addition, more threads mean more work for the system scheduler to decide which thread gets access to resources next.

A thread pool helps mitigate the issue of performance by reducing the number of threads needed and managing their lifecycle.
Essentially, threads are kept in the thread pool until they're needed, after which they execute the task and return the pool to be reused later. This mechanism is especially helpful in systems that execute a large number of small tasks.

Java Thread Pools
Java provides its own implementations of the thread pool pattern, through objects called executors. These can be used through executor interfaces or directly through thread pool implementations - which does allow for finer-grained control.

The java.util.concurrent package contains the following interfaces:

  • Executor - a simple interface for executing tasks
  • ExecutorService - a more complex interface which contains additional methods for managing the tasks and the executor itself
  • ScheduledExecutorService - extends ExecutorService with methods for scheduling the execution of a task

Alongside these interfaces, the package also provides the Executors helper class for obtaining executor instances, as well as implementations for these interfaces.

Generally, a Java thread pool is composed of:

  • The pool of worker threads, responsible for managing the threads
  • A thread factory that is responsible for creating new threads
  • A queue of tasks waiting to be executed

In the following sections, let's see how the Java classes and interfaces that provide support for thread pools work in more detail.

The Executors class and Executor interface
The Executors class contains factory methods for creating different types of thread pools, while Executor is the simplest thread pool interface, with a single execute() method.

Let's use these two classes in conjunction with an example that creates a single-thread pool, then uses it to execute a simple statement:

Executor executor = Executors.newSingleThreadExecutor();
executor.execute(() -> System.out.println("Single thread pool test"));

Notice how the statement can be written as a lambda expression - which is inferred to be of Runnable type.

The execute() method runs the statement if a worker thread is available, or places the Runnable task in a queue to wait for a thread to become available.

Basically, the executor replaces the explicit creation and management of a thread.

The factory methods in the Executors class can create several types of thread pools:

  • newSingleThreadExecutor() - a thread pool with only one thread with an unbounded queue, which only executes one task at a time
  • newFixedThreadPool() - a thread pool with a fixed number of threads which share an unbounded queue; if all threads are active when a new task is submitted, they will wait in queue until a thread becomes available
  • newCachedThreadPool() - a thread pool that creates new threads as they are needed
  • newWorkStealingThreadPool() - a thread pool based on a "work-stealing" algorithm which will be detailed more in a later section

Next, let's take a look into what additional capabilities the ExecutorService interface.

The ExecutorService
One way to create an ExecutorService is to use the factory methods from the Executors class:

ExecutorService executor = Executors.newFixedThreadPool(10);

Besides the execute() method, this interface also defines a similar submit() method that can return a Future object:

Callable<Double> callableTask = () -> {
return employeeService.calculateBonus(employee);
};
Future<Double> future = executor.submit(callableTask);
// execute other operations
try {
if (future.isDone()) {
double result = future.get();
}
} catch (InterruptedException | ExecutionException e) {
e.printStackTrace();
}

As you can see in the example above, the Future interface can return the result of a task for Callable objects, and can also show the status of a task execution.

The ExecutorService is not automatically destroyed when there are no tasks waiting to be executed, so to shut it down explicitly, you can use the shutdown() or shutdownNow() APIs:

executor.shutdown();

The ScheduledExecutorService
This is a subinterface of ExecutorService - which adds methods for scheduling tasks:

ScheduledExecutorService executor = Executors.newScheduledThreadPool(10);

The schedule() method specifies a task to be executed, a delay value and a TimeUnit for the value:

Future<Double> future = executor.schedule(callableTask, 2, TimeUnit.MILLISECONDS);

Furthermore, the interface defines two additional methods:

executor.scheduleAtFixedRate(
() -> System.out.println("Fixed Rate Scheduled"), 2, 2000, TimeUnit.MILLISECONDS);

executor.scheduleWithFixedDelay(
() -> System.out.println("Fixed Delay Scheduled"), 2, 2000, TimeUnit.MILLISECONDS);

The scheduleAtFixedRate() method executes the task after 2 ms delay, then repeats it at every 2 seconds. Similarly, the scheduleWithFixedDelay() method starts the first execution after 2 ms, then repeats the task 2 seconds after the previous execution ends.

In the following sections, let's also go through two implementations of the ExecutorService interface: ThreadPoolExecutor and ForkJoinPool.

The ThreadPoolExecutor
This thread pool implementation adds the ability to configure parameters
, as well as extensibility hooks. The most convenient way to create a ThreadPoolExecutor object is by using the Executors factory methods:

ThreadPoolExecutor executor = (ThreadPoolExecutor) Executors.newFixedThreadPool(10);

In this manner, the thread pool is preconfigured for the most common cases. The number of threads can be controlled by setting the parameters:

  • corePoolSize and maximumPoolSize - which represent the bounds of the number of threads
  • keepAliveTime - which determines the time to keep extra threads alive

Digging a bit further, here's how these parameters are used.

If a task is submitted and fewer than corePoolSize threads are in execution, then a new thread is created. The same thing happens if there are more than corePoolSize but less than maximumPoolSize threads running, and the task queue is full. If there are more than corePoolSize threads which have been idle for longer than keepAliveTime, they will be terminated.

In the example above, the newFixedThreadPool() method creates a thread pool with corePoolSize=maximumPoolSize=10, and a keepAliveTime of 0 seconds.

If you use the newCachedThreadPool() method instead, this will create a thread pool with a maximumPoolSize of Integer.MAX_VALUE and a keepAliveTime of 60 seconds:

ThreadPoolExecutor cachedPoolExecutor
= (ThreadPoolExecutor) Executors.newCachedThreadPool();

The parameters can also be set through a constructor or through setter methods:

ThreadPoolExecutor executor = new ThreadPoolExecutor(
4, 6, 60, TimeUnit.SECONDS, new LinkedBlockingQueue<Runnable>()
);
executor.setMaximumPoolSize(8);

A subclass of ThreadPoolExecutor is the ScheduledThreadPoolExecutor class, which implements the ScheduledExecutorService interface. You can create this type of thread pool by using the newScheduledThreadPool() factory method:

ScheduledThreadPoolExecutor executor
= (ScheduledThreadPoolExecutor) Executors.newScheduledThreadPool(5);

This creates a thread pool with a corePoolSize of 5, an unbounded maximumPoolSize and a keepAliveTime of 0 seconds.

The ForkJoinPool
Another implementation of a thread pool is the ForkJoinPool class. This implements the ExecutorService interface and represents the central component of the fork/join framework introduced in Java 7.

The fork/join framework is based on a "work-stealing algorithm". In simple terms, what this means is that threads that run out of tasks can "steal" work from other busy threads.

A ForkJoinPool is well suited for cases when most tasks create other subtasks or when many small tasks are added to the pool from external clients.

The workflow for using this thread pool typically looks something like this:

  • create a ForkJoinTask subclass
  • split the tasks into subtasks according to a condition
  • invoke the tasks
  • join the results of each task
  • create an instance of the class and add it to the pool

To create a ForkJoinTask, you can choose one of its more commonly used subclasses, RecursiveAction or RecursiveTask - if you need to return a result.

Let's implement an example of a class that extends RecursiveTask and calculates the factorial of a number by splitting it into subtasks depending on a THRESHOLD value:

public class FactorialTask extends RecursiveTask<BigInteger> {
private int start = 1;
private int n;
private static final int THRESHOLD = 20;

// standard constructors

@Override
protected BigInteger compute() {
if ((n - start) >= THRESHOLD) {
return ForkJoinTask.invokeAll(createSubtasks())
.stream()
.map(ForkJoinTask::join)
.reduce(BigInteger.ONE, BigInteger::multiply);
} else {
return calculate(start, n);
}
}
}

The main method that this class needs to implement is the overridden compute() method, which joins the result of each subtask.

The actual splitting is done in the createSubtasks() method:

private Collection<FactorialTask> createSubtasks() {
List<FactorialTask> dividedTasks = new ArrayList<>();
int mid = (start + n) / 2;
dividedTasks.add(new FactorialTask(start, mid));
dividedTasks.add(new FactorialTask(mid + 1, n));
return dividedTasks;
}

Finally, the calculate() method contains the multiplication of values in a range:

private BigInteger calculate(int start, int n) {
return IntStream.rangeClosed(start, n)
.mapToObj(BigInteger::valueOf)
.reduce(BigInteger.ONE, BigInteger::multiply);
}

Next, tasks can be added to a thread pool:

ForkJoinPool pool = ForkJoinPool.commonPool();
BigInteger result = pool.invoke(new FactorialTask(100));

ThreadPoolExecutor vs. ForkJoinPool
At first look, it seems that the fork/join framework brings improved performance. However, this may not always be the case depending on the type of problem you need to solve.

When choosing a thread pool, it's important to also remember there is overhead caused by creating and managing threads and switching execution from one thread to another.

The ThreadPoolExecutor provides more control over the number of threads and the tasks that are executed by each thread. This makes it more suitable for cases when you have a smaller number of larger tasks that are executed on their own threads.

By comparison, the ForkJoinPool is based on threads "stealing" tasks from other threads. Because of this, it is best used to speed up work in cases when tasks can be broken up into smaller tasks.

To implement the work-stealing algorithm, the fork/join framework uses two types of queues:

  • A central queue for all tasks
  • A task queue for each thread

When threads run out of tasks in their own queues, they attempt to take tasks from the other queues. To make the process more efficient, the thread queue uses a deque (double ended queue) data structure, with threads being added at one end and "stolen" from the other end.

Here is a good visual representation of this process from The H Developer:

fork/join thread pool

In contrast with this model, the ThreadPoolExecutor uses only one central queue.

One last thing to remember is that the choosing a ForkJoinPool is only useful if the tasks create subtasks. Otherwise, it will function the same as a ThreadPoolExecutor, but with extra overhead.

Tracing Thread Pool Execution
Now that we have a good foundational understanding of the Java thread pool ecosystem, let's take a closer look at what happens during the execution of an application that uses a thread pool.

By adding some logging statements in the constructor of FactorialTask and the calculate() method, you can follow the invocation sequence:

13:07:33.123 [main] INFO ROOT - New FactorialTask Created
13:07:33.123 [main] INFO ROOT - New FactorialTask Created
13:07:33.123 [main] INFO ROOT - New FactorialTask Created
13:07:33.123 [main] INFO ROOT - New FactorialTask Created 13:07:33.123 [ForkJoinPool.commonPool-worker-1] INFO ROOT - New FactorialTask Created
13:07:33.123 [ForkJoinPool.commonPool-worker-1] INFO ROOT - New FactorialTask Created
13:07:33.123 [main] INFO ROOT - New FactorialTask Created
13:07:33.123 [main] INFO ROOT - New FactorialTask Created
13:07:33.123 [main] INFO ROOT - Calculate factorial from 1 to 13
13:07:33.123 [ForkJoinPool.commonPool-worker-1] INFO ROOT - New FactorialTask Created
13:07:33.123 [ForkJoinPool.commonPool-worker-2] INFO ROOT - New FactorialTask Created
13:07:33.123 [ForkJoinPool.commonPool-worker-1] INFO ROOT - New FactorialTask Created
13:07:33.123 [ForkJoinPool.commonPool-worker-2] INFO ROOT - New FactorialTask Created
13:07:33.123 [ForkJoinPool.commonPool-worker-1] INFO ROOT - Calculate factorial from 51 to 63
13:07:33.123 [ForkJoinPool.commonPool-worker-2] INFO ROOT - Calculate factorial from 76 to 88
13:07:33.123 [ForkJoinPool.commonPool-worker-3] INFO ROOT - Calculate factorial from 64 to 75
13:07:33.163 [ForkJoinPool.commonPool-worker-3] INFO ROOT - New FactorialTask Created
13:07:33.163 [main] INFO ROOT - Calculate factorial from 14 to 25
13:07:33.163 [ForkJoinPool.commonPool-worker-3] INFO ROOT - New FactorialTask Created
13:07:33.163 [ForkJoinPool.commonPool-worker-2] INFO ROOT - Calculate factorial from 89 to 100
13:07:33.163 [ForkJoinPool.commonPool-worker-3] INFO ROOT - Calculate factorial from 26 to 38
13:07:33.163 [ForkJoinPool.commonPool-worker-3] INFO ROOT - Calculate factorial from 39 to 50

Here you can see there are several tasks created, but only 3 worker threads - so these get picked up by the available threads in the pool.

Also notice how the objects themselves are actually created in the main thread, before being passed to the pool for execution.

This is actually a great way to explore and understand thread pools at runtime, with the help of a solid logging visualization tool such as Prefix.

The core aspect of logging from a thread pool is to make sure the thread name is easily identifiable in the log message; Log4J2 is a great way to do that by making good use of layouts for example.

Potential Risks of Using a Thread Pool
Although thread pools provide significant advantages, you can also encounter several problems while using one, such as:

  • Using a thread pool that is too large or too small - if the thread pool contains too many threads, this can significantly affect the performance of the application; on the other hand, a thread pool that is too small may not bring the performance gain that you would expect
  • Deadlock can happen just like in any other multi-threading situation; for example, a task may be waiting for another task to complete, with no available threads for this latter one to execute; that's why it's usually a good idea to avoid dependencies between tasks
  • Queuing a very long task - to avoid blocking a thread for too long, you can specify a maximum wait time after which the task is rejected or re-added to the queue

To mitigate these risks, you have to choose the thread pool type and parameters carefully, according to the tasks that they will handle. Stress-testing your system is also well-worth it to get some real-world data of how your thread pool behaves under load.

Conclusion
Thread pools provide a significant advantage by, simply put, separating the execution of tasks from the creation and management of threads. Additionally, when used right, they can greatly improve the performance of your application.

And, the great thing about the Java ecosystem is that you have access to some of the most mature and battle-tested implementations of thread-pools out there, if you learn to leverage them properly and take full advantage of them.

The post Finally Getting the Most out of the Java Thread Pool appeared first on Stackify.

About Stackify Blog
Stackify offers the only developers-friendly solution that fully integrates error and log management with application performance monitoring and management. Allowing you to easily isolate issues, identify what needs to be fixed quicker and focus your efforts – Support less, Code more. Stackify provides software developers, operations and support managers with an innovative cloud based solution that gives them DevOps insight and allows them to monitor, detect and resolve application issues before they affect the business to ensure a better end user experience. Start your free trial now stackify.com

Presentation Slides
Traditional on-premises data centers have long been the domain of modern data platforms like Apache Hadoop, meaning companies who build thei...
Using new techniques of information modeling, indexing, and processing, new cloud-based systems can support cloud-based workloads previously...
IoT & Smart Cities Stories
All in Mobile is a place where we continually maximize their impact by fostering understanding, empathy, insights, creativity and joy. They believe that a truly useful and desirable mobile app doesn't need the brightest idea or the most advanced technology. A great product begins with understanding people. It's easy to think that customers will love your app, but can you justify it? They make sure your final app is something that users truly want and need. The only way to do this is by ...
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Dynatrace is an application performance management software company with products for the information technology departments and digital business owners of medium and large businesses. Building the Future of Monitoring with Artificial Intelligence. Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more busine...
The challenges of aggregating data from consumer-oriented devices, such as wearable technologies and smart thermostats, are fairly well-understood. However, there are a new set of challenges for IoT devices that generate megabytes or gigabytes of data per second. Certainly, the infrastructure will have to change, as those volumes of data will likely overwhelm the available bandwidth for aggregating the data into a central repository. Ochandarena discusses a whole new way to think about your next...
CloudEXPO | DevOpsSUMMIT | DXWorldEXPO are the world's most influential, independent events where Cloud Computing was coined and where technology buyers and vendors meet to experience and discuss the big picture of Digital Transformation and all of the strategies, tactics, and tools they need to realize their goals. Sponsors of DXWorldEXPO | CloudEXPO benefit from unmatched branding, profile building and lead generation opportunities.
DXWorldEXPO LLC announced today that Big Data Federation to Exhibit at the 22nd International CloudEXPO, colocated with DevOpsSUMMIT and DXWorldEXPO, November 12-13, 2018 in New York City. Big Data Federation, Inc. develops and applies artificial intelligence to predict financial and economic events that matter. The company uncovers patterns and precise drivers of performance and outcomes with the aid of machine-learning algorithms, big data, and fundamental analysis. Their products are deployed...
Cell networks have the advantage of long-range communications, reaching an estimated 90% of the world. But cell networks such as 2G, 3G and LTE consume lots of power and were designed for connecting people. They are not optimized for low- or battery-powered devices or for IoT applications with infrequently transmitted data. Cell IoT modules that support narrow-band IoT and 4G cell networks will enable cell connectivity, device management, and app enablement for low-power wide-area network IoT. B...
The hierarchical architecture that distributes "compute" within the network specially at the edge can enable new services by harnessing emerging technologies. But Edge-Compute comes at increased cost that needs to be managed and potentially augmented by creative architecture solutions as there will always a catching-up with the capacity demands. Processing power in smartphones has enhanced YoY and there is increasingly spare compute capacity that can be potentially pooled. Uber has successfully ...
SYS-CON Events announced today that CrowdReviews.com has been named “Media Sponsor” of SYS-CON's 22nd International Cloud Expo, which will take place on June 5–7, 2018, at the Javits Center in New York City, NY. CrowdReviews.com is a transparent online platform for determining which products and services are the best based on the opinion of the crowd. The crowd consists of Internet users that have experienced products and services first-hand and have an interest in letting other potential buye...
When talking IoT we often focus on the devices, the sensors, the hardware itself. The new smart appliances, the new smart or self-driving cars (which are amalgamations of many ‘things'). When we are looking at the world of IoT, we should take a step back, look at the big picture. What value are these devices providing. IoT is not about the devices, its about the data consumed and generated. The devices are tools, mechanisms, conduits. This paper discusses the considerations when dealing with the...



2016 | 2015 | 2014 | 2013 | 2012
Testimonials
This week I had the pleasure of delivering the opening keynote at Cloud Expo New York. It was amazing to be back in the great city of New York with thousands of cloud enthusiasts eager to learn about the next step on their journey to embracing a cloud-first worldl."
@SteveMar_Msft
 
How does Cloud Expo do it every year? Another INCREDIBLE show - our heads are spinning - so fun and informative."
@SOASoftwareInc
 
Thank you @ThingsExpo for such a great event. All of the people we met over the past three days makes us confident IoT has a bright future."
@Cnnct2me
 
One of the best conferences we have attended in a while. Great job, Cloud Expo team! Keep it going."

@Flexential


Who Should Attend?
Senior Technologists including CIOs, CTOs & Vps of Technology, Chief Systems Engineers, IT Directors and Managers, Network and Storage Managers, Enterprise Architects, Communications and Networking Specialists, Directors of Infrastructure.

Business Executives including CEOs, CMOs, & CIOs , Presidents & SVPs, Directors of Business Development , Directors of IT Operations, Product and Purchasing Managers, IT Managers.

Join Us as a Media Partner - Together We Can Enable the Digital Transformation!
SYS-CON Media has a flourishing Media Partner program in which mutually beneficial promotion and benefits are arranged between our own leading Enterprise IT portals and events and those of our partners.

If you would like to participate, please provide us with details of your website/s and event/s or your organization and please include basic audience demographics as well as relevant metrics such as ave. page views per month.

To get involved, email events@sys-con.com.

@ThingsExpo Blogs
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to advisory roles at startups. He has worked extensively on monetization, SAAS, IoT, ecosystems, partne...
Whenever a new technology hits the high points of hype, everyone starts talking about it like it will solve all their business problems. Blockchain is one of those technologies. According to Gartner's latest report on the hype cycle of emerging technologies, blockchain has just passed the peak of their hype cycle curve. If you read the news articles about it, one would think it has taken over the technology world. No disruptive technology is without its challenges and potential impediments that frequently get lost in the hype. The panel will discuss their perspective on what they see as th...
Having been in the web hosting industry since 2002, dhosting has gained a great deal of experience while working on a wide range of projects. This experience has enabled the company to develop our amazing new product, which they are now excited to present! Among dHosting's greatest achievements, they can include the development of their own hosting panel, the building of their fully redundant server system, and the creation of dhHosting's unique product, Dynamic Edge.
Digital Transformation Blogs
Authorization of web applications developed in the cloud is a fundamental problem for security, yet companies often build solutions from scratch, which is error prone and impedes time to market. This talk shows developers how they can (instead) build on-top of community-owned projects and frameworks for better security.Whether you build software for enterprises, mobile, or internal microservices, security is important. Standards like SAML, OIDC, and SPIFFE help you solve identity and authentication, but for them authorization is out of scope. When you need to control "who can do what" in your ...
All in Mobile is a place where we continually maximize their impact by fostering understanding, empathy, insights, creativity and joy. They believe that a truly useful and desirable mobile app doesn't need the brightest idea or the most advanced technology. A great product begins with understanding people. It's easy to think that customers will love your app, but can you justify it? They make sure your final app is something that users truly want and need. The only way to do this is by researching target group and involving users in the designing process.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to advisory roles at startups. He has worked extensively on monetization, SAAS, IoT, ecosystems, partne...
CloudEXPO.TV
"Calligo is a cloud service provider with data privacy at the heart of what we do. We are a typical Infrastructure as a Service cloud provider but it's been des...
Discussions of cloud computing have evolved in recent years from a focus on specific types of cloud, to a world of hybrid cloud, and to a world dominated by the...