envoy VS helm

Apple also contributed[1] MPTCP support to Envoy Proxy.

[1]https://github.com/envoyproxy/envoy/pull/18780

After it finishes (it can take a few minutes), Docker-Compose automatically starts a cluster with two containers. One is an Envoy proxy (running on port 3000) that relays requests from outside the cluster to the other container (running on port 4000), which is our AR.IO gateway that will handle the requests.

Hi HN!

For the past few weeks we've been working on Proximal - a workflow engine that lets you quickly iterate on WebAssembly extensions for Envoy Proxy[0] (or other proxies) right on your local machine: https://github.com/apoxy-dev/proximal

This work is based on Proxy-WASM[1] extension ABI for Envoy (and other proxies like APISIX and Mosn[2]) which allows you to execute WebAssembly code on every API request a la Cloudflare Workers. As part of our wider effort at https://apoxy.dev to improve API glue code we built an experimentation / development platform and hope you will find it useful!

On the technical side this project packs Envoy itself, Envoy controller, REST API (for controlling the controller =)), React SPA, and Temporal server/worker (for orchestration) - all baked into a single Go binary. You can find more on architecture and limitations in the repository README[4].

This project is pretty early stage and we would appreciate community feedback!

Previous HN discussions on this topic:

* https://news.ycombinator.com/item?id=36113542

* https://news.ycombinator.com/item?id=22582276

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[0] https://www.envoyproxy.io/

[1] https://github.com/proxy-wasm/spec/blob/master/docs/WebAssem...

[2] https://apisix.apache.org/ https://mosn.io/

[3] https://github.com/apoxy-dev/proximal/blob/main/README.md#ar...

Hey HN,

We made an Envoy Proxy[0] playground so we could test out our Envoy configs directly in the browser. This is based on Julia's work with Nginx Playround[1] (we forked[2] that repo and added more Envoy to it). Check it out!

[0] - Envoy is a popular programmable proxy similar to Nginx or HAProxy that is popular with cloud-native setups: https://www.envoyproxy.io

Envoy is the proxy that does the heavy lifting. Istio is just a glorified configuration system. Even if you choose to use Istio you're still using Envoy.

You're spot-on about using iptables rules. There is an example here with a yaml configuration and some iptables commands: https://github.com/envoyproxy/envoy/blob/main/configs/origin...

You might be able to re-use some of that. It should be pretty easy to get metrics for outbound/inbound http requests, but I don't remember the exact yaml incantation.

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.

I know envoy (https://www.envoyproxy.io/, https://www.envoyproxy.io/docs/envoy/latest/intro/arch_overview/security/jwt_authn_filter) can do this natively, I'm sure you could probably build something with nginx and its Lua scripting, not sure about traefik and caddy but I dont think they support that.

Envoy is a cloud native opensource proxy server. The Envoy proxy offers a variety of http filters to handle incoming requests.

Istio: By far the most popular service mesh. It is built on top of Envoy proxy, which many service meshes use.

Applying Kubernetes manifests individually is problematic because files can get overlooked. Packaging your applications as Helm charts lets you version your manifests and easily repeat deployments into different environments. Helm tracks the state of each deployment as a "release" in your cluster.

helm

Explanation here: https://github.com/helm/helm/issues/12681#issuecomment-19593...

Looks like it's a bug in Helm, but actually isn't Helm's fault, the issue was introduced by Fedora Linux.

Helm (Get from here https://helm.sh/)

It’s also well understood that having a k8s cluster is not enough to make developers able to host their services - you need a devops team to work with them, using tools like delivery pipelines, Helm, kustomize, infra as code, service mesh, ingress, secrets management, key management - the list goes on! Developer Portals like Backstage, Port and Cortex have started to emerge to help manage some of this complexity.

Kubernetes orchestrates deployments and manages resources through yaml configuration files. While Kubernetes supports a wide array of resources and configurations, our aim in this tutorial is to maintain simplicity. For the sake of clarity and ease of understanding, we will use yaml configurations with hardcoded values. This method simplifies the learning process but isn’t ideal for production environments due to the need for manual updates with each new deployment. Although there are methods to streamline and automate this process, such as using Helm charts or bash scripts, we’ll not delve into those techniques to keep the tutorial manageable and avoid fatigue — you might be quite tired by that point!

Helm is a package manager that automates Kubernetes applications' creation, packaging, configuration, and deployment by combining your configuration files into a single reusable package. This eliminates the requirement to create the mentioned Kubernetes resources by ourselves since they have been implemented within the Helm chart. All we need to do is configure it as needed to match our requirements. From the public Helm chart repository, we can get the charts for common software packages like Consul, Jenkins SonarQube, etc. We can also create our own Helm charts for our custom applications so that we don’t need to repeat ourselves and simplify deployments.

We can search for charts https://helm.sh/ . Charts can be pulled(downloaded) and optionally unpacked(untar).

Generally I felt as if I was diving in the deepest of waters without the correct equipement and that was horrifying. Unfortunately to me, I had to dive even deeper before getting equiped with tools like ArgoCD, and k8slens. I had to start working with... HELM.

Within the architecture of Cyclops, a central component is the Helm engine. Helm is very popular within the Kubernetes community; chances are you have already run into it. The popularity of Helm plays to Cyclops's strength because of its straightforward integration.