In this scenario, if the SSL certificate that's used by the Management endpoint isn't signed by a well-known CA certificate, you must make sure that the CA certificate is trusted by the pod of the self-hosted gateway.
To learn about self-hosted gateway behavior in the presence of a temporary Azure connectivity outage, see Self-hosted gateway overview. Configure a local storage volume for the self-hosted gateway container, so it can persist a backup copy of the latest downloaded configuration. If connectivity is down, the storage volume can use the backup copy upon restart.
See an example on GitHub. To learn about storage in Kubernetes, see the Kubernetes website. When connectivity to Azure is temporarily lost, the flow of telemetry to Azure is interrupted and the data is lost for the duration of the outage.
Consider setting up local monitoring to ensure the ability to observe API traffic and prevent telemetry loss during Azure connectivity outages. Skip to main content. This browser is no longer supported.
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Feedback will be sent to Microsoft: By pressing the submit button, your feedback will be used to improve Microsoft products and services. Privacy policy. The reference microservice application eShopOnContainers is currently using features provided by Envoy to implement the API Gateway instead of the earlier referenced Ocelot.
We made this design choice because of Envoy's built-in support for the WebSocket protocol, required by the new gRPC inter-service communications implemented in eShopOnContainers. However, we've retained this section in the guide so you can consider Ocelot as a simple, capable, and lightweight API Gateway suitable for production-grade scenarios.
Also, latest Ocelot version contains a breaking change on its json schema. That diagram shows how the whole application is deployed into a single Docker host or development PC with "Docker for Windows" or "Docker for Mac". However, deploying into any orchestrator would be similar, but any container in the diagram could be scaled out in the orchestrator. In addition, the infrastructure assets such as databases, cache, and message brokers should be offloaded from the orchestrator and deployed into high available systems for infrastructure, like Azure SQL Database, Azure Cosmos DB, Azure Redis, Azure Service Bus, or any HA clustering solution on-premises.
As you can also notice in the diagram, having several API Gateways allows multiple development teams to be autonomous in this case Marketing features vs. Shopping features when developing and deploying their microservices plus their own related API Gateways. If you had a single monolithic API Gateway that would mean a single point to be updated by several development teams, which could couple all the microservices with a single part of the application.
Going much further in the design, sometimes a fine-grained API Gateway can also be limited to a single business microservice depending on the chosen architecture. Having the API Gateway's boundaries dictated by the business or domain will help you to get a better design. For instance, fine granularity in the API Gateway tier can be especially useful for more advanced composite UI applications that are based on microservices, because the concept of a fine-grained API Gateway is similar to a UI composition service.
We delve into more details in the previous section Creating composite UI based on microservices. As a key takeaway, for many medium- and large-size applications, using a custom-built API Gateway product is usually a good approach, but not as a single monolithic aggregator or unique central custom API Gateway unless that API Gateway allows multiple independent configuration areas for the several development teams creating autonomous microservices.
As an example, eShopOnContainers has around six internal microservice-types that have to be published through the API Gateways, as shown in the following image. Figure About the Identity service, in the design it's left out of the API Gateway routing because it's the only cross-cutting concern in the system, although with Ocelot it's also possible to include it as part of the rerouting lists.
All those services are currently implemented as ASP. Let's focus on one of the microservices like the Catalog microservice code. You can see that the Catalog microservice is a typical ASP. The HTTP request will end up running that kind of C code accessing the microservice database and any additional required action.
Regarding the microservice URL, when the containers are deployed in your local development PC local Docker host , each microservice's container always has an internal port usually port 80 specified in its dockerfile, as in the following dockerfile:.
The port 80 shown in the code is internal within the Docker host, so it can't be reached by client apps. Client apps can access only the external ports if any published when deploying with docker-compose. Those external ports shouldn't be published when deploying to a production environment.
For this specific reason, why you want to use the API Gateway, to avoid the direct communication between the client apps and the microservices. Given your bucket name, you can test you have everything setup correctly by generating a pre-signed URL. Finally, we zip this function and upload it to AWS as a new Lambda function. Now, we can create the lambda function. At this point, we have an S3 bucket, and a Lambda function that creates signed URLs for uploading to that bucket.
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