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Blog on All Things Cloud Foundry

How to Use Snap Packages when Collecting IoT Data with Predix Time Series

Ilya Drabenia

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Snaps, designed by Canonical, are intended for packaging applications and their dependencies, along with the instructions for running these applications. In this article, we focus on how to write time-series data from your Linux environment to the Predix Time Series service using a snap.

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Creating Your First Serverless App with AWS Lambda and the Serverless Framework

Ilya Drabenia

serverless-architectures

Serverless architectures are one of the newest trends in computing that brings reduced infrastructure and development costs to the table. According to this approach, an application is split into multiple functions with each of them deployed separately.

Here, we demonstrate how to create a serverless application and deploy it to AWS Lambda, as well as explain some of the architecture basics.

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Automating Customer Interactions with IBM Watson Conversation and Bluemix

Ilya Drabenia

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Virtual agents and chatbots can significantly optimize the operations of customer service departments. Trained to answer questions frequently asked by end users, they help organizations to automate a variety of customer interactions, engaging team members only in complex situations.

In this post, we explain how to work with the Watson Conversation service in Bluemix for creating chatbots.

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Using Predix UI Components: Page Layout and Login

Nick Herman

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Predix provides several UI components that help you to build web apps faster and easier. The components are implemented with Polymer, a lightweight library built on top of WebComponents, and can be integrated with other Predix services, such as Time Series.

In this post, we explain the basics of using Predix UI, with focus on page layout requirements and the px-login component.

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Introducing Cloud Foundry CLI Plugin for Managing Predix Analytics Catalog

Stas Turlo

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Analytics Catalog is a service in GE Predix that provides a repository for hosting and exposing analytic assets. Today, we’re introducing a Cloud Foundry command-line interface (CF CLI) plugin that enables you to access Predix Analytics Catalog features via the CLI.

Using this plugin, you can upload and test your Predix analytics services. For instance, one can add “an analytic” to the catalog, delete it, test it in a Cloud Foundry environment, and download an analytic’s artifact through the CF CLI.

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Using Spark Streaming, Apache Kafka, and Object Storage for Stream Processing on Bluemix

Ilya Drabenia

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One of the key points in the Industrial Internet is stream data processing. Equipment fault monitoring, predictive maintenance, or real-time diagnostics are only a few of the possible use cases. Some of the services provided by IBM Bluemix enable you to significantly speed up the implementation of such use cases. With Bluemix, you are not required to deploy and configure Hadoop, Apache Kafka, or other big data tools. It allows you to launch service instances in a few clicks.

In this article, we explain how to integrate and use the most popular open-source tools for stream processing. We explore IBM Message Hub (for collecting streams), the Apache Spark service (for processing events), and IBM Object Storage (for storing results).

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Using Predix Analytics Services from a Node.js App

Nick Herman

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Predix Analytics is a set of services that enable developers to use analytics solutions implemented by data scientists from their own apps. In this post, we explain how to get started with the three services required for running Predix analytics: Analytics Catalog, Analytics Runtime, and Analytics User Interface.

With the provided instructions, you will be able to set up the services and call the Univariate Anomaly Detection analytic service from a Node.js application.

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Data Stream Processing on IBM Bluemix: Streaming Analytics, Apache Spark, and BigInsights

Ilya Drabenia

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Essentially, the Internet of Things is about collecting and exchanging data, which then can be used in many different ways. Equipment fault monitoring, predictive maintenance, or real-time diagnostics are only a few of the possible scenarios. Dealing with all this information, however, creates certain challenges for the field of the IoT, and stream processing of huge amounts of data is among them.

In this article, we compare IBM Bluemix services for real-time processing of data streams, such as IBM InfoSphere Streams, a managed Apache Spark service, and IBM BigInsights for Apache Hadoop.

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Prototyping a Greenhouse Management System with Node-RED and Predix in 48 Hours

Ilya Drabenia

greenhouse-management-app-with-node-red-and-ge-predix

In the agriculture industry, the Internet of Things helps to build smart farming systems. Using information from sensors and machinery, such solutions enable farmers to optimize their decisions and overcome many challenges they face.

With proper technologies and expertise at your disposal, these systems can be created in a very reasonable amount of time. Here are the details about the prototype of an automation system for greenhouse farming that we managed to create in 48 hours—employing Raspberry Pi 3, an I2C light sensor, Node.js, and GE Predix.

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Using the PostgreSQL Service in an ASP.NET App on GE Predix

Eugene Lahansky

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PostgreSQL is one of the data management services available for applications running on the Predix platform. This article shows how to work with a Cloud Foundry-hosted instance of the Postgres service from an ASP.NET application.

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