In the five-year span between 2015 and 2020, the Internet of Things is expected to grow faster than any other category of connected devices. The number of machine-to-machine connections should grow nearly 2.5-fold, from 4.9 billion in 2015 to 12.2 billion in 2020.

However, in the IoT world, being able to run analytics as close to the source as possible has become a necessity in order to reduce the amount of data being transferred over the wire. Not only that, it’s also crucial if your goal is to provide quick feedback, even if limited, to the edge device (transportation vehicle, oil rig, mobile device, etc).

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In this tutorial, we will learn how to perform CRUD operations with the help of HTTP requests firing from Postman.

Assumptions

  1. The CouchDB Server is running at http://127.0.0.1:5789/
  2. Database name is tutorialkart.
  3. The database contains the following two documents (viewed in table view).

Documents in CouchDB Database

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MuleSoft Custom Policies can be layered on top of the implementation of the APIs to provide the governance, security, and visibility required. While the out-of-the-box API management policies cover the majority of use cases, an organization may need to create a custom policy to meet specific business needs.

There is a lot of documentation that shows how to work with MuleSoft custom policies through API manager, however, developing the custom policy and debugging them locally has been always challenging. In this article, I will demonstrate how to develop and test Mule custom policy on your local standalone Mule runtime instances before uploading to the API manager or Exchange for live running APIs.

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When I first encountered Entity Framework (EF), I always gravitated towards a database-first option. Back when Entity Framework appeared, there wasn’t a code-first option.

My thinking towards this approach was your database holds the data. If your database wasn’t designed properly from the start, and you generate your entities based on the database design, your code (entities) may suffer.

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Predictive maintenance is an increasingly common sight in industrial facilities around the world, but the ability for AI to detect when machinery is about to fail relies upon a steady stream of data. One would imagine the data provided by Google Street View might not be up to the job therefore, but new research from RMIT suggests otherwise.

The authors propose using data from Google Street View to spot when road furniture needs replacing. The authors highlight the often manual and laborious task of monitoring street furniture and traffic infrastructure.

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This week, we look at API vulnerabilities in Kubernetes and 3Fun, upcoming API Specification Conference, and slides from EIN 2019 conference presentation.

Vulnerabilities: Kubernetes

Kubernetes has fixed the API vulnerability CVE-2019-11247.

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Take any integration project and you have multiple applications talking over multiple transports on multiple platforms. As you can imagine, in large enterprises, applications like this can get complex very fast. Much of the complexity stems from two issues:

  1. Dealing with the specifics of applications and transports
  2. Coming up with good solutions to integration problems

Making your applications speak transports and APIs is relatively easy on its own. I’m sure everyone knows how to send JMS messages to their broker of choice; though it still requires in-depth knowledge of the JMS specification, which many developers may not have. On top of that, what happens when you want to route that JMS message to another application? You then have to take care of mapping the JMS message to the application plus handle any new concepts related to the application. Add a dozen other applications into the mix and you’ve got quite a headache on your hands.

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With convolutional neural networks and state-of-the-art image recognition techniques it is possible to make old movie classics shine again. Neural networks polish the image, reduce the noise, and apply colors to the aged images.

The first movies were created in the late nineteenth century with celluloid photographic film used in conjunction with motion picture cameras.

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For happiness researcher Shawn Achor, you can’t have a happy workplace without connection to your colleagues.

In 1935, U.S. biologist Hugh Smith found himself lost deep in the Southeast Asian jungle, floating down a river in pitch darkness. As he progressed farther in his canoe, he saw what appeared to be lightning strike one of the mangrove trees on the banks of the river. And then, to his astonishment, it struck the same tree again, and many more trees around it, one by one.

You may also like: A Happy Workplace Is a Successful Workplace

What Smith saw that day turned out to not be lightning strikes, but rather a biological phenomena called synchrony, wherein the lightning bugs that were sitting on those mangrove trees all lit up in perfect unison. And this discovery turned existing research on these insects upside down.

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In this example, I am going to show you how to post data to a RESTful web service in Java using Spring, Spring Java Configuration and more.

Web Service Code

Let’s take a quick look at the Spring MVC Web Service code on the server:

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