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WASP is an end-to-end platform to build real-time streaming analytics and pipelines.
It is a scalable solution designed with production environments in mind where high volumes and performances are a must
wasp-consumers-streaming is the component in charge of running all the streaming processes involved in configured pipegraphs. It can be also orchestrated by the master through API
The following information was extracted from the containerfile and other sources.
Summary | WASP is a framework to build complex real time big data applications. It relies on Kappa/Lambda architecture leveraging Kafka and Spark. |
Description | The Universal Base Image Minimal is a stripped down image that uses microdnf as a package manager. This base image is freely redistributable, but Red Hat only supports Red Hat technologies through subscriptions for Red Hat products. This image is maintained by Red Hat and updated regularly. |
Provider | AGILE LAB |
Maintainer | Red Hat, Inc. |
Source location | https://github.com/agile-lab-dev/wasp/ |
The following information was extracted from the containerfile and other sources.
Repository name | wasp-consumers-streaming |
Image version | 2.26-SNAPSHOT |
Architecture | amd64 |
Use the following instructions to get images from a Red Hat container registry using registry service account tokens. You will need to create a registry service account to use prior to completing any of the following tasks.
First, you will need to add a reference to the appropriate secret and repository to your Kubernetes pod configuration via an imagePullSecrets field.
Then, use the following from the command line or from the OpenShift Dashboard GUI interface.
Use the following command(s) from a system with podman installed
Use the following command(s) from a system with docker service installed and running
Use the following instructions to get images from a Red Hat container registry using your Red Hat login.
For best practices, it is recommended to use registry tokens when pulling content for OpenShift deployments.
Use the following command(s) from a system with podman installed
Use the following command(s) from a system with docker service installed and running