This post is an excerpt from a tutorial that shows how the IBM Log Analysis with LogDNA service can be used to configure and access logs of a Kubernetes application that is deployed on IBM Cloud.
We're happy to announce that IBM Cloud Functions Python 3.7 runtime has been optimized for latency. The updated Python 3.7 runtime leverages a new web proxy built with Go that replaces the previous Python web proxy.
We are happy to announce that you can develop Python Actions using Python 3.7. You can use this version of Python by specifying the runtime in the CLI with "--kind python:3.7" or selecting Python 3 in the UI when creating a new Action.
In one of my serverless (IBM Cloud Functions) proof of concepts, I had an idea of creating a pre-signed URL. Presigned URLs create a temporary link that can be used to share an object publicly.
With Watson Assistant, you can build chatbots—solutions that understand natural language and respond to the user input. In order to not just return hard-coded answers, it is pretty common to integrate database systems and other services into the solution.
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.
(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, […]