envoy VS Varnish

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

---

[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.

As you might know, Envoy is affected by a bug that makes it crash on Raspberry Pi OS, and Pomerium is affected by it as well, in order to fix that I've made my own build of the Pomerium container with a special version of Envoy that works on Raspberry Pi OS.

Varnish Cache is a tool that provides a caching HTTP reverse proxy in order to accelerate your web applications. Once Varnish Cache is installed in front of any server that understands HTTP and configured to cache the contents, delivery speeds are typically enhanced by a factor of 300-1000x, depending on architecture. Kilobyte22 finds this tool along with HAProxy to be a winning combo.

In this case, caching mechanism is situated in the proxy server or reverse proxy server like Nginx, Apache, or Varnish, and most probably it is a part of ISP (Internet Service Provider).

To handle this level of traffic, you can use tools such as Varnish HTTP Cache, which caches the information of a news article starting from the first user who accesses and makes the request. Once Varnish caches the page, subsequent users will receive a response that is saved in memory. This process allows you to avoid unnecessary synchronous requests and send a quick response to users.

A couple of dedicated server-side resource caching solutions have emerged over the years: Memcached, Varnish, Squid, etc. Other solutions are less focused on web resource caching and more generic, e.g., Redis or Hazelcast.

VARNISH

Edge Side Includes (ESI): a more modern alternative to SSI. ESI can handle variables, have conditionals, and supports better error handling. ESI is supported by caching HTTP servers such as Varnish.

For this objective, I am looking for willing volunteers to run through two phases of test deployments. These phases will each involve creating a scalable Varnish Cache cluster on Azure Kubernetes Service and answering a few questions about your experience. The deployments should take a total of around 30 min (or less) and will require the creation of a very minimal Kubernetes cluster. For some more information on Varnish Cache check out: https://varnish-cache.org/

For reads, caches are the primary tool, such as Varnish or memcached.

Others have pointed out some very valid issues. A quick hack, try using Varnish Cache (https://varnish-cache.org/), you can really accelerate the static content delivery.

In this case, caching mechanism is situated in the proxy server or reverse proxy server like Nginx, Apache, or Varnish, and most probably it is a part of ISP (Internet Service Provider).