Enterprises thinking about the Cloud Adoption and Transformation journey often inquire about the dimension entitled Emerging Innovation Spaces, commonly known as Emerging Technologies. See how the Cloud, the Internet of Things (IoT), and AI work together as emerging technologies.
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.
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.
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.
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.
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.
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.
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.