Frederic Lavigne

Plan, create and update deployment environments with IBM Cloud CLI and Terraform

Developers do not like to write the same thing twice. The DRY principle is one example of this. Similarly they don't like having to go through tons of clicks in a user interface to setup an environment. Consequently shell scripts have been long used by system administrators and developers to automate repetitive, error-prone and uninteresting tasks.

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Store Terraform states in Cloud Object Storage

Terraform uses its state file to compute its plans when you want apply an update to your infrastructure. It is essential to Terraform operations. Lose the state file and you lose Terraform's knowledge about your infrastructure.

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How to organize users, teams and applications in IBM Cloud

Learn how to organize your project with multiple deployment environments

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Secure your mobile serverless backend with App ID

Learn how to implement user authentication and application logic with App ID and Cloud Functions in IBM Cloud.

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New tutorials to get you started with the IBM Cloud

Looking to build your next project on the IBM Cloud and not sure where to start?

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Expose Auth0-enabled OpenWhisk actions with API Connect

Serverless computing platforms give developers a rapid way to build APIs without servers. OpenWhisk supports automatic generation of REST API for actions exposed by API Gateway. When the capabilities provided by the API Gateway do not cover all usecases you have for an API - such as publishing it in a developer portal or performing advanced mapping, transformation, validation, you can migrate to the API Connect service.

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Deploy Logistics Wizard microservices with Kubernetes and Istio

Logistics Wizard is a reimagined supply chain optimization system for the 21st century. In this post, we show how to deploy its microservices in Kubernetes.

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How to scale my microservice with Cloud Foundry, Containers and OpenWhisk?

As your app gets more users and traffic how do you scale its components to handle the additional load?

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My microservice has crashed, now what?

Although you have been very cautious about protecting your code against failures, it happened, it crashed. Now what? How does the platform help you keep your service available?

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