istio VS toc

AWS EKS provides a managed Kubernetes service, simplifying cluster management and deployment. Istio, an open-source service mesh, enables traffic management, security, and observability across microservices.

Istio is a popular open-source service mesh framework that provides a comprehensive solution for managing, securing, and observing microservices-based applications running on Kubernetes.

Leverage a service mesh like Istio or Linkerd to manage communication between microservices within the Kubernetes cluster. These service meshes can be configured to intercept JMX traffic and enforce access control policies. Benefits:

Open Source and Cloud Computing: A Match Made in Heaven The cloud is accelerating OSS adoption. Cloud-native technologies like Kubernetes [https://kubernetes.io/] and Istio [https://istio.io/], both open-source projects, are revolutionizing how applications are built and deployed across cloud platforms.

Consider the case of Bookinfo, a sample application provided by Istio, rewritten using CloudWeGo's Kitex for superior performance and extensibility.

It is a dedicated infrastructure layer that manages service-to-service communication, providing features like load balancing, encryption, authentication, and monitoring. Istio deploys sidecar proxies alongside each microservice instance. These proxies handle communication, providing features like load balancing, service discovery, encryption, monitoring and authentication.

5Y old post that sounds like they've done similar here: Caddy Issue Istio Issue but doesn't cover much of the implementation

In a production environment there will be a load balancer setup with an Ingress Controller, Service Mesh or some type of Custom Router. This allows all traffic to be sent to the single load balancer IP address and then route the traffic to a service based on the Domain name or subpath. We are using a NGINX ingress controller but service meshes like Istio have been becoming the most popular solution to use as they offer more segmentation, security and granular control.

Flagger is a progressive delivery tool that enables a Kubernetes operator to automate the promotion or rollback of deployments based on metrics analysis. It supports a variety of metrics including Prometheus, Datadog, and New Relic to name a few. It also works well with Istio service mesh, and can implement progressive traffic splitting between primary and canary releases.

Yup.. CNCF seems to not like this change: https://github.com/cncf/toc/issues/1262

CNCF Cloud Native Definition v1.0

This comes along with a public comment period, you can find the details here, and add your comments, support, remarks at this GitHub PR.

gRPC had a graduation application open for 3 years. It was rejected very recently: https://github.com/cncf/toc/pull/300.

Reading between the lines, it sounds like the main problem is Google's tight control over the project. Apple contributes to the Swift implementation and MSFT drives the native .NET implementation, but there's little non-Google input in decision-making for Go, Java, C++ core, or any of the implementations that wrap core.

More subjectively, I'm impressed by the CNCF's willingness to stick to their stated graduation criteria. gRPC is widely used (even among other CNCF projects), and comes from the company that organized the CNCF - there must have been a lot of pressure to rubber-stamp the application.

There is some movement: gRPC was recently denied graduation due to perceived problems with its governance.

CNCF Cloud Native Definition v1.0