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articles/api-management/api-management-gateways-overview.md

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* **Self-hosted** - The [self-hosted gateway](self-hosted-gateway-overview.md) is an optional, containerized version of the default managed gateway. It's useful for hybrid and multi-cloud scenarios where there is a requirement to run the gateways off Azure in the same environments where API backends are hosted. The self-hosted gateway enables customers with hybrid IT infrastructure to manage APIs hosted on-premises and across clouds from a single API Management service in Azure.
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* **Self-hosted** - The [self-hosted gateway](self-hosted-gateway-overview.md) is an optional, containerized version of the default managed gateway. It's useful for hybrid and multicloud scenarios where there's a requirement to run the gateways off of Azure in the same environments where API backends are hosted. The self-hosted gateway enables customers with hybrid IT infrastructure to manage APIs hosted on-premises and across clouds from a single API Management service in Azure.
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* The self-hosted gateway is [packaged](self-hosted-gateway-overview.md#packaging) as a Linux-based Docker container and is commonly deployed to Kubernetes, including to [Azure Kubernetes Service](how-to-deploy-self-hosted-gateway-azure-kubernetes-service.md) and [Azure Arc-enabled Kubernetes](how-to-deploy-self-hosted-gateway-azure-arc.md).
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## Feature comparison: Managed versus self-hosted gateways
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The following table compares features available in the managed gateway versus those in the self-hosted gateway. Differences are also shown between the managed gateway for dedicated service tiers (Developer, Basic, Standard, Premium) and for the Consumption tier.
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The following table compares features available in the managed gateway versus the features in the self-hosted gateway. Differences are also shown between the managed gateway for dedicated service tiers (Developer, Basic, Standard, Premium) and for the Consumption tier.
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> [!NOTE]
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> * Some features of managed and self-hosted gateways are supported only in certain [service tiers](api-management-features.md) or with certain [deployment environments](self-hosted-gateway-overview.md#packaging) for self-hosted gateways.
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## Next steps
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- Learn more about [API Management in a Hybrid and Multi-Cloud World](https://aka.ms/hybrid-and-multi-cloud-api-management)
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- Learn more about [API Management in a Hybrid and multicloud World](https://aka.ms/hybrid-and-multi-cloud-api-management)
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- Learn more about using the [capacity metric](api-management-capacity.md) for scaling decisions
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- Learn about [observability capabilities](observability.md) in API Management

articles/api-management/how-to-self-hosted-gateway-on-kubernetes-in-production.md

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# Guidance for running self-hosted gateway on Kubernetes in production
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In order to run the self-hosted gateway in production, there are various aspects to take in to mind. For example, it should be deployed in a highly-available manner, use configuration backups to handle temporary disconnects and many more.
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In order to run the self-hosted gateway in production, there are various aspects to take in to mind. For example, it should be deployed in a highly available manner, use configuration backups to handle temporary disconnects and many more.
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This article provides guidance on how to run [self-hosted gateway](./self-hosted-gateway-overview.md) on Kubernetes for production workloads to ensure that it will run smoothly and reliably.
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### Traffic-based autoscaling
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Kubernetes does not provide an out-of-the-box mechanism for traffic-based autoscaling.
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Kubernetes doesn't provide an out-of-the-box mechanism for traffic-based autoscaling.
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Kubernetes Event-driven Autoscaling (KEDA) provides a few ways that can help with traffic-based autoscaling:
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- You can scale based on metrics from a Kubernetes ingress if they are available in [Prometheus](https://keda.sh/docs/latest/scalers/prometheus/) or [Azure Monitor](https://keda.sh/docs/latest/scalers/azure-monitor/) by using an out-of-the-box scaler
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- You can scale based on metrics from a Kubernetes ingress if they're available in [Prometheus](https://keda.sh/docs/latest/scalers/prometheus/) or [Azure Monitor](https://keda.sh/docs/latest/scalers/azure-monitor/) by using an out-of-the-box scaler
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- You can install [HTTP add-on](https://github.com/kedacore/http-add-on), which is available in beta, and scales based on the number of requests per second.
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## Container resources
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## Security
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The self-hosted gateway is able to run as non-root in Kubernetes allowing customers to run the gateway securely.
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Here is an example of the security context for the self-hosted gateway:
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Here's an example of the security context for the self-hosted gateway:
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```yml
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securityContext:
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allowPrivilegeEscalation: false

articles/api-management/self-hosted-gateway-migration-guide.md

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#### Available TLS cipher suites
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At launch, self-hosted gateway v2.0 only used a subset of the cipher suites that v1.x was using. As of v2.0.4, we have brought back all the cipher suites that v1.x supported.
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At launch, self-hosted gateway v2.0 only used a subset of the cipher suites that v1.x was using. As of v2.0.4, we've brought back all the cipher suites that v1.x supported.
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You can learn more about the used cipher suites in [this article](self-hosted-gateway-overview.md#available-cipher-suites) or use v2.1.1 to [control what cipher suites to use](self-hosted-gateway-overview.md#managing-cipher-suites).
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## Next steps
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- Learn more about [API Management in a Hybrid and Multi-Cloud World](https://aka.ms/hybrid-and-multi-cloud-api-management)
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- Learn more about [API Management in a Hybrid and multicloud World](https://aka.ms/hybrid-and-multi-cloud-api-management)
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- Learn more about guidance for [running the self-hosted gateway on Kubernetes in production](how-to-self-hosted-gateway-on-kubernetes-in-production.md)
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- [Deploy self-hosted gateway to Docker](how-to-deploy-self-hosted-gateway-docker.md)
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- [Deploy self-hosted gateway to Kubernetes](how-to-deploy-self-hosted-gateway-kubernetes.md)

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