zipkin VS envoy

When choosing distributed tracing tools, considerations include your technology stack, business requirements, and monitoring complexity. Zipkin, SkyWalking, and OpenTelemetry are popular distributed tracing solutions, each with its unique features.

From the perspective of the realization of GraphQL infrastructure, the interesting direction is "Finding". How to find the problem? How to find the bottleneck of the system? Distributed Tracing System (DTS) will help answer this question. Distributed tracing is a method of observing requests as they propagate through distributed environments. In our scenario, we have dozens of subgraphs, gateway, and transport layer through which the request goes. We have several tools that can be used to detect the whole lifecycle of the request through the system, e.g. Jaeger, Zipkin or solutions that provided DTS as a part of the solution NewRelic.

Zipkin is a distributed tracing system used for tracking and analyzing how requests move through complex systems, especially in setups with many interconnected services, known as microservices.

Distributed Tracing: Middleware for distributed tracing like Jaeger and Zipkin helps monitor and trace requests as they flow through multiple microservices, aiding in debugging, performance optimization, and understanding the system's behavior.

For microservice tracing, you might want to look at Zipkin [0], or OpenTelemetry [1]

[0] https://zipkin.io/

I’ve not used a self-hosted solution before, but here’s one I found. https://zipkin.io/

> IMO the reason these vendors can and do charge so much is not because telemetry software is hard.

I always saw it as "they are charging for their polished UI/experience"

The UI of https://zipkin.io/ versus DataDog is kind of... not really in the same ballpark?

There are the zipkin https://zipkin.io/ and jaeger https://www.jaegertracing.io/ packages/components you can use both have quickstarts if you consider that to be a beginner's guide.

Zipkin, which was developed by Twitter, is an open source tool for distributed tracing that can also be used to troubleshoot latency issues in your application. While Zipkin is Java-based, py_zipkin is an implementation for Python.

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.