In a strategic escalation in our approach to cloud data warehousing, we’re bringing Db2 Warehouse Flex to Amazon Web Services as a fully managed, scalable, and elastic cloud data warehouse.
Automate weekly reporting to Slack the serverless way. We save time and resources using IBM Cloud to publish GitHub traffic statistics.
We're proud to announce the immediate availability of a first-class integration between Segment and our very own IBM Db2 Warehouse on Cloud. Db2 Warehouse is our fully-managed, enterprise-class, petabyte-scale cloud data warehouse built with scalability and performance as the defining characteristics.
Some weeks back I introduced to a tutorial on how to analyse GitHub traffic. The tutorial combines serverless technology and Cloud Foundry to automatically retrieve statistics and store them in Db2. The data can then be accessed and analyzed using a Python Flask app. Today, I am going to show you how the web site is protected using OpenID Connect and IBM Cloud App ID.
For my tutorial on automated data retrieval and analytics, I use IBM Cloud Functions to automatically fetch GitHub traffic statistics once a day. It is implemented as a serverless Python action. Because some Python packages are needed, the question was how to pack and create the action. In this blog post, I share my experiences.