In a new solution tutorial, I show you how to automatically retrieve and store GitHub traffic data the serverless way with IBM Cloud Functions and Db2. The data can then be analyzed via a Web app deployed to Cloud Foundry on IBM Cloud. The app is secured with App ID using OpenID Connect. The new service Dynamic Dashboard Embedded provides visualization of the views and clones of GitHub repositories.
With our recent cloud infrastructure and Deep-Learning-as-a-Service (DLaaS) announcements, IBM Cloud is a key contributor to the push towards AI. We’ve delivered a comprehensive suite of AI tools, high performance bare metal servers, and NVIDIA® GPUs that enables companies of all sizes to analyze complex unstructured data faster, more thoroughly and accurately, and at a far less cost than ever before.
Message Hub provides a simple communication mechanism built on Apache Kafka, enabling communication between loosely coupled Bluemix services. This article shows how to communicate with Message Hub from the Streaming Analytics Bluemix service using the messaging toolkit.
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.
There are many reasons why you might choose Kubernetes as your platform for hosting your application(s). In Cloud Foundry, for each application, the platform provides the isolation, OS, runtime, networking and management capabilities. This opinionated environment is ideal for some use cases. Kubernetes provides similar capabilities but gives you the control of the OS, runtime, networking rules of each service, communication between services in your cluster and more.
Watson Discovery is one year old! We are proud of how Discovery has evolved over the last year, now serving as a powerful insight engine on IBM Cloud. We released several milestone features over the year including passage retrieval, relevancy training, anomaly detection, semantic match, cross-collection federation while improving our tooling user experience, language support, […]
IBM is pleased to announce the immediate availability of our new low cost, low latency Regional Service for IBM Cloud Object Storage, for the UK-London Region, now open for all customers to use worldwide. With this new regional resiliency service, customers now have the choice to store and access their data within the UK London region for in-country data sovereignty, business continuity and high availability with low cost and low latency.
Logs help you troubleshoot issues with your clusters and apps. Sometimes, you might want to send logs somewhere for processing or long-term storage. On a Kubernetes cluster in the IBM Cloud Container Service, you can enable log forwarding for your cluster and choose where your logs are forwarded.
Many organizations have started to explore the value that machine learning can bring—from illuminating previously “dark data” such as images and videos, to creating models that help to guide or even automate business decision-making. However, very few companies have gone beyond pilots and prototypes, or made the transition from one-off projects to a scalable, repeatable workflow. Too often, machine learning exists in a bubble of its own, instead of being understood in the context of the broader data science workflow.