Multiple environments are pretty common in a project when building a solution. They support the different phases of the development cycle and the slight differences between the environments, like capacity, networking, credentials, and log verbosity. These two tutorials will show you how to manage the environments with Terraform.
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.
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.
Automate weekly reporting to Slack the serverless way. We save time and resources using IBM Cloud to publish GitHub traffic statistics.
Secure your cloud app end to end. Use a custom domain with TLS certificate for apps deployed on IBM Cloud Kubernetes Service.
IBM Cloud Solution Tutorials give you step-by-step instructions to create applications running on virtual servers, Kubernetes, Cloud Foundry, and serverless architectures. The tutorials also cover topics ranging from web and mobile applications, chatbots, IoT, and machine learning and analytics.
While coding and drafting “Mobile app with a Serverless Backend”, We came up with an idea to use Swift on the server-side for the iOS app (it’s an interesting use case).So, that it will cater the full stack swift developers out there. The same is true for the Android version of the app as well.