iot

November 9, 2018

Build Messaging Solutions with Apache Kafka or Event Streams for IBM Cloud: Part 3

One key aspect of a robust architecture is that it is built to smoothly handle system failures, outages, and configuration changes without violating the data loss and consistency requirements of the use case. To proactively build such solutions needs an understanding of the possible exceptions and risky scenarios and preparedness to manage them efficiently.

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October 24, 2018

Build Messaging Solutions with Apache Kafka or Event Streams for IBM Cloud: Part 2

In the previous post in this multi-part series on building messaging solutions, we quantified requirements related to various specific categories. In the second step of this process, we can now use the quantified requirements to build a preliminary design to evaluate the viability of the solution.

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October 19, 2018

Build Messaging Solutions with Apache Kafka or Event Streams for IBM Cloud: Part 1

As part of the iterative approach described in the main introduction blog of this series, the first step is to building messaging solutions is to identify the use case requirements and quantify these requirements as much as possible in terms of Apache Kafka and Event Streams.

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October 17, 2018

Introduction: Build Messaging Solutions with Apache Kafka or Event Streams for IBM Cloud

This multi-part blog series is going to walk you through some of the key architectural considerations and steps for building messaging solutions with Apache Kafka or IBM Event Streams for IBM Cloud. This series will be helpful for developers, architects, and technology consultants who have a general understanding of Apache Kafka and are now looking toward getting deeper into evaluating and building messaging solutions.

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August 10, 2018

Recapping IBM Think Digital – IBM Cloud for VMware Solutions

Did you miss IBM's Think Digital event with executives from IBM and VMware? We're giving you the highlights from the first-of-a-kind live digital event.

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February 22, 2018

Anomaly detection in mobile sensor data using Machine Learning

This blog post is an excerpt from our solution tutorial - "Gather, visualize, and analyze IoT data". The tutorial walks you through setting up an IoT device, gathering mobile sensor data in the Watson IoT Platform, exploring data and creating visualizations and then using advanced machine learning services to analyze data and detect anomalies in the historical data.

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January 15, 2018

Welcome aboard Bosch, Coalesce.info and TradeIt!

During 4Q17, we added three new 3rd party services to our growing partner ecosystem on the IBM Cloud platform. From IoT to A.I. to wealth management, we're adding more services to give you, our developers, the services you need for build compelling digital solutions.

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November 20, 2017

Demo: Detect malfunctioning IoT sensors

This short video features a Streaming Analytics application that connects to the Watson IoT Platform to ingest data from IoT devices. It then analyzes that data to detect when a device might be malfunctioning.

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November 20, 2017

Webinar: (Case study) GreenQ uses serverless technology to improve city services

As the leanest form of container-based application computing, serverless functions as a service (FaaS) run code exactly when needed, at exactly the right scale, either through direct API invocation or as triggered by specific other events. Functions are powerfully well-suited for managing API connections across clouds, processing IoT data streams, and implementing connections between microservices […]

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