From a61291c149730f4d6729741d770a319c60dceef4 Mon Sep 17 00:00:00 2001 From: hanemile Date: Tue, 29 Jan 2019 01:58:11 +0100 Subject: updated the links --- src/index.html | 18 ++++++++++-------- 1 file changed, 10 insertions(+), 8 deletions(-) diff --git a/src/index.html b/src/index.html index 5eac281..4e18956 100644 --- a/src/index.html +++ b/src/index.html @@ -91,7 +91,7 @@

I wrote a writeup for people who want to implement this or just want to dive deeper into the rabbit hole. It contains the process of generating the star clusters and how the simulation efficiency can be increased alot.

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The complete project is currently split up into multiple docker containers representing a micro-service each. It is currently stored in git and is always happy if new post-request are made!

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The Generator container generates stars using NFW containers. This makes it incredibly fast, because it is not bound to a machine, but can operate on a giant cluster.

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The current "Database" is a go array containing the galaxy stored in the form of a tree. This is not optimal, but it works and I'm working on a more scalable solution.

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The manager manages distributing stars to the simulator containers, it also collects the metrics from the Simulator containers and functions as a target for prometheus.

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The simulator container get's stars from the manager and calculates the forces acting on it. It then inserts the new star into the database.

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Traefik ist used as a reverse proxy for some services such as the generator container. It also allows a lot of other services to work.

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Monitoring is done by combining the power of Prometheus and Grafana using the other containers as targets to pull metrics from.

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