cilium VS istio

They would have had to add a few externals to get to Graduated but it's definitely a minority:

https://github.com/cilium/cilium/blob/main/MAINTAINERS.md

Next-gen networking thanks to Cilium

Hello there, I recently have the need to proxy my pod traffic through WireGuard. I initially have my eyes on https://github.com/angelnu/pod-gateway but I just couldn't get it working. It turns out that Cilium made a CVE patch couple years ago that basically nuked ability to do inter-pod encapsulated traffic (https://github.com/cilium/cilium/issues/15991). I wonder if there is any other way that can let me do this without switching out of Cilium? Thank you guys in advance :)

I have used Cilium as CNI and installing it with helm.

I'm using the default RaspiOS Lite 64bits and as highlighted in this issue, the RaspiOS kernel does not support CONFIG_ARM64_VA_BITS_48, which makes cilium-envoy to fail building. As solution, I was told to use either Ubuntu as base OS or Traefik Ingress Controller, which is not configured in K3s.

Working on integrating cilium and loxilb as a hobby k8s project. Both are eBPF based and will be interesting to see what will be the final outcome.

Particularly in Cilium, Gateway API is very proof-of-concept. So much so that you can't even change the type of the underlying service (or anything else about the generated object) yet.

Authentication using mTLS was later merged into cilium (https://github.com/cilium/cilium/pull/24263). It uses mTLS between cilium agents to authorize flows, but do note that the mTLS auth is de-coupled from the datapath transport (i.e. you need to configure cilium to use ipsec or wireguard, as otherwise traffic won't be encrypted). As a consequence, there are some gaps in the implementation right now, like packet drops. see https://github.com/cilium/cilium/issues/23808

network plugin to be used, based on the documentation. (Project Calico ,Flannel, Cilium )

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.