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Copy file name to clipboardExpand all lines: content/blog/2021-12-31-medical-diagnosis.md
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The image is uploaded to an S3-compatible object storage. This upload triggers an event from the storage, “a new image has been uploaded”, that is sent into a Kafka topic. This topic is consumed by a KNative Eventing listener that triggers the launch of a KNative Serving instance. This instance is a containerimage with the AI/ML model and the needed processing functions. Based on the information from the event it received, the container retrieves the image from the object store, pre-processes it, makes a prediction on the risk of pneumonia using the AI/ML model, and saves the result. A notification of those results is sent to the medical staff as well.
For a recorded demo deploying the pattern and seeing the dashboards available to the user, check out our [docs page](https://hybrid-cloud-patterns.io/medical-diagnosis/)!
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For a recorded demo deploying the pattern and seeing the dashboards available to the user, check out our [docs page](https://validatedpatterns.io/medical-diagnosis/)!
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## Pattern Deployment
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---
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To deploy this pattern, follow the instructions outlined on the [getting-started](https://hybrid-cloud-patterns.io/medical-diagnosis/getting-started/) page.
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To deploy this pattern, follow the instructions outlined on the [getting-started](https://validatedpatterns.io/medical-diagnosis/getting-started/) page.
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One of the next things we are committed to delivering in the new year is a pattern to extend the concept of GitOps to include elements that are outside of OpenShift and Kubernetes - specifically Red Hat Enterprise Linux nodes, including Red Hat Enterprise Linux For Edge nodes, as well as Red Hat Ansible Automation Platform.
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We plan on developing a number of new patterns throughout the new year, which will showcase various technologies. Keep watching this space for updates, and if you would like to get involved, visit our site at [https://hybrid-cloud-patterns.io](https://hybrid-cloud-patterns.io)!
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We plan on developing a number of new patterns throughout the new year, which will showcase various technologies. Keep watching this space for updates, and if you would like to get involved, visit our site at [https://validatedpatterns.io](https://validatedpatterns.io)!
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Using the *subdomain* property when defining route is super useful if you are deploying your application to different clusters and it will allow you to not have to hard code the ingress domain for every cluster.
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If you have any questions or want to see what we are working on please feel free to visit our [Hybrid Cloud Patterns](https://hybrid-cloud-patterns.io/) site. If you are excited or intrigued by what you see here we’d love to hear your thoughts and ideas! Try the patterns contained in our [Hybrid Cloud Patterns Repo](https://github.com/hybrid-cloud-patterns). We will review your pull requests to our pattern repositories.
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If you have any questions or want to see what we are working on please feel free to visit our [Hybrid Cloud Patterns](https://validatedpatterns.io/) site. If you are excited or intrigued by what you see here we’d love to hear your thoughts and ideas! Try the patterns contained in our [Hybrid Cloud Patterns Repo](https://github.com/hybrid-cloud-patterns). We will review your pull requests to our pattern repositories.
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| ------------------------------ |
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|[](https://youtu.be/N6XPh-9XZAM)|
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Start by [deploying](https://hybrid-cloud-patterns.io/multicloud-gitops/getting-started/) the Multi-cloud GitOps pattern on AWS.
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Start by [deploying](https://validatedpatterns.io/multicloud-gitops/getting-started/) the Multi-cloud GitOps pattern on AWS.
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Next, you'll need to create a fork of the [multicloud-gitops](https://github.com/hybrid-cloud-patterns/multicloud-gitops/)
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repo. Go there in a browser, make sure you’re logged in to GitHub, click the
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Now you have a copy of the pattern that you can make changes to. You can read
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more about the Multi-cloud GitOps pattern on our [community
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Next, you'll need to create a fork of the [argo-rollouts](https://github.com/hybrid-cloud-patterns/argo-rollouts/) repo.
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Go there in a browser, make sure you’re logged in to GitHub, click the “Fork” button, and confirm the destination by clicking the big green "Create fork" button.
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Next, [install the Validated Patterns operator](https://hybrid-cloud-patterns.io/infrastructure/using-validated-pattern-operator/) from Operator Hub.
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Next, [install the Validated Patterns operator](https://validatedpatterns.io/infrastructure/using-validated-pattern-operator/) from Operator Hub.
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And finally, click through to the installed operator, and select the `Create
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instance` button and fill out the Create a Pattern form. Most of the defaults
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- Using special configuration files. This is fine for initial development but not for production.
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- Using a Cloud Native secrets handling tool e.g. [Vault](https://www.vaultproject.io/docs/platform/k8s) or [Conjur](https://www.conjur.org/solutions/secrets-management/)
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Some of the validated patterns use configuration files (for now), while others, like the [Multicloud GitOps](https://hybrid-cloud-patterns.io/multicloud-gitops/), use Vault. See [Vault Setup](https://hybrid-cloud-patterns.io/secrets/vault/) for more info.
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Some of the validated patterns use configuration files (for now), while others, like the [Multicloud GitOps](https://validatedpatterns.io/multicloud-gitops/), use Vault. See [Vault Setup](https://validatedpatterns.io/secrets/vault/) for more info.
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## Policy
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While many enterprise Cloud Native applications are open source, many of the products used require licenses or subscriptions. Policies help enforce license and subscription management and the channels needed to get access to those licenses or subscriptions.
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Similarly, in multicloud deployments and complex edge deployments, policies can help define and select the correct GitOps workflows that need to be managed for various sites or clusters. E.g. defining an OpenShift Cluster as a "Factory" in the [Industrial Edge](https://hybrid-cloud-patterns.io/industrial-edge/factory/) validated pattern provides a simple trigger to roll-out the entire Factory deployment. Policy is a powerful tool in automation.
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Similarly, in multicloud deployments and complex edge deployments, policies can help define and select the correct GitOps workflows that need to be managed for various sites or clusters. E.g. defining an OpenShift Cluster as a "Factory" in the [Industrial Edge](https://validatedpatterns.io/industrial-edge/factory/) validated pattern provides a simple trigger to roll-out the entire Factory deployment. Policy is a powerful tool in automation.
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Validated patterns use [Red Hat Advanced Cluster Management for Kubernetes](https://www.redhat.com/en/technologies/management/advanced-cluster-management) to control clusters and applications from a single console, with built-in security policies.
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In the above example `acm` (ACM) is part of the main `datacenter` deployment, as is `cool-app`. However, `central-kafka` is part of `backend-storage`.
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The `path:` tag tells OpenShift GitOps where to find the Helm charts needed to deploy this application (refer back to the [charts directory description](https://hybrid-cloud-patterns.io/building-vps/structure/#the-charts-directory) for more details). OpenShift GitOps will continuously monitor for changes to artifacts in that location for updates to apply.
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The `path:` tag tells OpenShift GitOps where to find the Helm charts needed to deploy this application (refer back to the [charts directory description](https://validatedpatterns.io/building-vps/structure/#the-charts-directory) for more details). OpenShift GitOps will continuously monitor for changes to artifacts in that location for updates to apply.
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Each different site type would have its own values- file listing subscriptions and applications.
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## Size matters
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If things are taking a long time to deploy, use the OpenShift console to check on memory and other potential capacity issues with the cluster. If running in a cloud you may wish to up the machine size. Check the [sizing charts](https://hybrid-cloud-patterns.io/infrastructure/).
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If things are taking a long time to deploy, use the OpenShift console to check on memory and other potential capacity issues with the cluster. If running in a cloud you may wish to up the machine size. Check the [sizing charts](https://validatedpatterns.io/infrastructure/).
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Try out what we've done and submit issues to our [issue trackers](https://github.com/hybrid-cloud-patterns/industrial-edge/issues).
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We will review pull requests to our [pattern](https://github.com/hybrid-cloud-patterns/common)[repositories](https://hybrid-cloud-patterns.io/industrial-edge).
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We will review pull requests to our [pattern](https://github.com/hybrid-cloud-patterns/common)[repositories](https://validatedpatterns.io/industrial-edge).
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