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.
Building on a 46-year alliance with SAP, the IBM Cloud platform has been certified by SAP for its bare metal servers, local and shared storage and networking. This certification allows our Business Partners to run their client’s full production SAP applications and associated workloads on the IBM Cloud and manage it.
The Streaming Analytics service in the IBM Cloud is an advanced analytic platform allowing user-developed applications to quickly ingest, analyze, and correlate information as it arrives from a wide variety of real-time data sources. Today, a new version of the service is generally available, providing a set of exciting new features and new set of price plans.
The Cloud Foundry Summit 2018 Boston just ended, and all I can say is wow! I'm the Offering Manager for IBM Cloud Foundry, and let me just say, it's been an honor representing IBM Cloud Foundry this week and working with all the incredible IBM technology people supporting this IBM Cloud compute offering. There was so much going on, so many great new things to learn, and so much news all around, it was a world-wind week of Cloud Foundry excellence.
In recent years, object storage has become a dominant paradigm for large-scale, cost-effective data storage. Solutions like IBM Cloud Object Storage are both highly scalable and extremely resilient, utilizing ingenious algorithms to distribute data across a cluster of storage systems and provide a high level of fault tolerance. At the same time, these algorithms minimize the number of complete copies of the data that need to be stored, which reduces total data volumes and keeps costs low.
(Ed.–Josep Sampé–Universitat Rovira i Virgili–co-authored this post.) Let’s say you write a function in Python to process and analyze some data. You successfully test the function using a small amount of data and now you want to run the function as a serverless action at massive scale, with parallelism, against terabytes of data. What options do you have? Obviously, […]
Watson Knowledge Studio (WKS) is now available with a Lite Plan, as part of IBM Cloud's Lite Accounts that never expire and don't need payment information. If you are involved with analyzing text data and have never used WKS or if you had signed up to use the Free Plan of WKS on IBM Cloud, you should read this!