Back-up and restore This is not applicable as the current Swiftflow version is a fully stateless API. Update images Edit the Swiftflow statefulset by running the below command: kubectl edit sts RELEASE_NAME-swiftflow Modify the Swiftflow pod image version to the targeted version.Save and quit.Warning : the pod will be restarted once you changes have been […]
Read MoreInstallation using Helm Prerequisites You will need the below tools installed in order to deploy Swiftflow on premise : helm kubectl docker Request Helm package and Docker images You can contact us on info@alpina-analytics.com in order to request the necessary archives (Helm package and Docker images) plus a dedicated license to deploy Swiftflow on premise. […]
Read MorePricing and support You will start your journey with a 30 days free trial period that can be extended. Upon the realization of a successful proof-of-concept and in case you are operating in GCP environment, a usage-based billing model will apply that is proportional to the number of requests made on the application. For non-GCP […]
Read MoreAPI Endpoints (functional) Unless otherwise noted, all requests must be performed using the POST HTTP method, and send a single JSON data element. For concrete examples, see the section below. /nested: attempts to parse and enrich the input SWIFT data, and returns the result in nested format. /exploded: attempts to parse and enrich the input […]
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