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5 Commits
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1fd5508a7c
| Author | SHA1 | Date | |
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1fd5508a7c
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fb2b82e8eb
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4327c07ce1
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78474a5418
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264f7717de
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@ -1,35 +0,0 @@
|
||||
name: Deploy Hugo site to Prod
|
||||
|
||||
on:
|
||||
# Runs on pushes targeting the default branch
|
||||
push:
|
||||
branches: ["master"]
|
||||
# Allows you to run this workflow manually from the Actions tab
|
||||
workflow_dispatch:
|
||||
|
||||
jobs:
|
||||
docker:
|
||||
runs-on: ubuntu-latest
|
||||
name: Build Container
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
with:
|
||||
github-server-url: https://gitea.sheep-ghoul.ts.net
|
||||
|
||||
- name: Set up Docker Buildx
|
||||
uses: docker/setup-buildx-action@v2
|
||||
|
||||
- name: Login to DockerHub
|
||||
uses: docker/login-action@v2
|
||||
with:
|
||||
registry: gitea.sheep-ghoul.ts.net
|
||||
username: ${{ secrets.DOCKERHUB_USERNAME }}
|
||||
password: ${{ secrets.DOCKERHUB_TOKEN }}
|
||||
|
||||
- name: Build Container
|
||||
uses: docker/build-push-action@v2
|
||||
with:
|
||||
push: true
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||||
tags: gitea.sheep-ghoul.ts.net/sarsoo/sarsooxyz.hugo:latest
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||||
file: Dockerfile.pub
|
||||
context: .
|
||||
2
.github/workflows/docker.yml
vendored
2
.github/workflows/docker.yml
vendored
@ -50,4 +50,4 @@ jobs:
|
||||
version: 1.68.1
|
||||
|
||||
- name: Deploy
|
||||
run: ssh -o StrictHostKeyChecking=no ${{ secrets.TS_SSH }} -t "cd sarsooxyz-hugo/ && docker compose up -d --pull always"
|
||||
run: ssh -o StrictHostKeyChecking=no aj@odb -t "cd sarsooxyz-hugo/ && docker compose up -d --pull always"
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||||
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||||
@ -1,169 +0,0 @@
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:root {
|
||||
// --shadow-colour: #828282;
|
||||
--shadow-colour: #3f0aff;
|
||||
}
|
||||
|
||||
|
||||
///////////////////////
|
||||
// AVATAR
|
||||
///////////////////////
|
||||
|
||||
.avatar {
|
||||
|
||||
img {
|
||||
--shift: 20px;
|
||||
--transition-time: 1s;
|
||||
|
||||
border-style: solid;
|
||||
border-width: 7px;
|
||||
border-color: black;
|
||||
|
||||
// filter: drop-shadow(var(--shift) 8px 1px var(--shadow-colour));
|
||||
// translate: calc(var(--shift) * -1) calc(var(--shift) * -1);
|
||||
|
||||
@media (prefers-reduced-motion: no-preference) {
|
||||
// transition: filter, translate;
|
||||
// transition-duration: 1s;
|
||||
// transition-timing-function: ease-in-out;
|
||||
|
||||
animation: shift-avatar 3s ease-in-out infinite alternate backwards;
|
||||
|
||||
@keyframes shift-avatar {
|
||||
from {
|
||||
filter: drop-shadow(0px 0px 0px var(--shadow-colour));
|
||||
translate: none;
|
||||
}
|
||||
to {
|
||||
filter: drop-shadow(var(--shift) 8px 1px var(--shadow-colour));
|
||||
translate: calc(var(--shift) * -1) calc(var(--shift) * -1);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@media (prefers-reduced-motion: no-preference) {
|
||||
img:hover {
|
||||
filter: none;
|
||||
translate: none;
|
||||
// animation-play-state: paused;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@media only screen and (max-width: 768px) {
|
||||
.avatar img {
|
||||
--shift: 13px;
|
||||
border-width: 5px;
|
||||
}
|
||||
}
|
||||
|
||||
///////////////////////
|
||||
// BOX LINK
|
||||
///////////////////////
|
||||
|
||||
.box-link {
|
||||
--shift: 8px;
|
||||
--border-radius: 10px;
|
||||
|
||||
position: relative;
|
||||
width: 100%;
|
||||
display: flex;
|
||||
justify-content: center;
|
||||
margin-top: 20px;
|
||||
margin-bottom: 20px;
|
||||
|
||||
translate: calc(var(--shift) * -1) calc(var(--shift) * -1);
|
||||
|
||||
@media (prefers-reduced-motion: no-preference) {
|
||||
transition: translate;
|
||||
transition-duration: 0.25s;
|
||||
transition-timing-function: ease-in-out;
|
||||
|
||||
animation: shift-image 0.3s backwards;
|
||||
@keyframes shift-image {
|
||||
from { translate: none; }
|
||||
to { translate: calc(var(--shift) * -1) calc(var(--shift) * -1); }
|
||||
}
|
||||
}
|
||||
|
||||
span {
|
||||
border-radius: var(--border-radius);
|
||||
opacity: .5;
|
||||
background-color: black;
|
||||
position: absolute;
|
||||
top: 0; left: 0; bottom: 0; right: 0;
|
||||
z-index: 0;
|
||||
}
|
||||
|
||||
img {
|
||||
/* object-position:38% 50%; */
|
||||
z-index: -1;
|
||||
position: absolute;
|
||||
top: 0; left: 0; bottom: 0; right: 0;
|
||||
margin: 0;
|
||||
padding: 0;
|
||||
width: 100%; height: 100%;
|
||||
overflow: hidden;
|
||||
object-fit: cover;
|
||||
border: 4px solid black;
|
||||
border-radius: var(--border-radius);
|
||||
box-shadow: var(--shift) var(--shift) 1px var(--shadow-colour);
|
||||
|
||||
@media (prefers-reduced-motion: no-preference) {
|
||||
transition: box-shadow;
|
||||
transition-duration: 0.25s;
|
||||
transition-timing-function: ease-in-out;
|
||||
animation: shift-shadow 0.3s backwards;
|
||||
@keyframes shift-shadow {
|
||||
from { box-shadow: none; }
|
||||
to { box-shadow: var(--shift) var(--shift) 1px var(--shadow-colour); }
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@media (prefers-reduced-motion: no-preference) {
|
||||
&:hover {
|
||||
translate: none;
|
||||
|
||||
img {
|
||||
box-shadow: none;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
div {
|
||||
z-index: 0;
|
||||
margin-top: 50px;
|
||||
margin-bottom: 50px;
|
||||
margin-right: 5%;
|
||||
margin-left: 5%;
|
||||
}
|
||||
|
||||
p {
|
||||
color: white;
|
||||
margin: auto;
|
||||
text-align: center !important;
|
||||
text-shadow: 0px 2px black;
|
||||
}
|
||||
|
||||
a {
|
||||
color: white;
|
||||
cursor: pointer;
|
||||
text-align: center !important;
|
||||
text-underline-offset: 3px;
|
||||
text-decoration-skip-ink: all;
|
||||
}
|
||||
}
|
||||
|
||||
///////////////////////
|
||||
// FOOTER LOGO
|
||||
///////////////////////
|
||||
|
||||
.footer-logo {
|
||||
filter: contrast(100%);
|
||||
transition: filter 1s ease-in-out;
|
||||
}
|
||||
|
||||
.footer-logo:hover {
|
||||
filter: contrast(0%) drop-shadow(7px 7px 5px grey);
|
||||
}
|
||||
@ -1,20 +0,0 @@
|
||||
html {
|
||||
hanging-punctuation: first last;
|
||||
}
|
||||
|
||||
|
||||
h1, h2, h3, h4, h5, h6 {
|
||||
text-wrap: balance;
|
||||
}
|
||||
|
||||
p {
|
||||
max-width: 75ch;
|
||||
text-wrap: pretty;
|
||||
}
|
||||
|
||||
@media screen and (prefers-reduced-motion: no-preference) {
|
||||
:has(:target) {
|
||||
scroll-behavior: smooth;
|
||||
scroll-padding-top: 3rem;
|
||||
}
|
||||
}
|
||||
29
config.toml
29
config.toml
@ -24,11 +24,9 @@ paginate = 40
|
||||
avatarurl = "images/avatar.jpg"
|
||||
hideColorSchemeToggle = true
|
||||
|
||||
customSCSS = ["scss/reset.scss", "scss/main.scss"]
|
||||
|
||||
[[params.social]]
|
||||
name = "Mastodon"
|
||||
icon = "fa-brands fa-mastodon fa-2x"
|
||||
icon = "fa fa-mastodon fa-2x"
|
||||
weight = 1
|
||||
url = "https://fosstodon.org/@sarsoo/"
|
||||
[[params.social]]
|
||||
@ -53,31 +51,36 @@ paginate = 40
|
||||
url = "https://www.linkedin.com/in/andypack/"
|
||||
|
||||
[[menu.main]]
|
||||
name = "Dev & Engineering"
|
||||
name = "Mixonomer"
|
||||
weight = 1
|
||||
url = "mixonomer/"
|
||||
|
||||
[[menu.main]]
|
||||
name = "Selector"
|
||||
weight = 2
|
||||
url = "selector/"
|
||||
|
||||
[[menu.main]]
|
||||
name = "Dev & Engineering"
|
||||
weight = 3
|
||||
url = "dev-engineering/"
|
||||
|
||||
[[menu.main]]
|
||||
name = "Music"
|
||||
weight = 2
|
||||
weight = 4
|
||||
url = "music/"
|
||||
|
||||
[[menu.main]]
|
||||
name = "Art"
|
||||
weight = 3
|
||||
weight = 5
|
||||
url = "art/"
|
||||
|
||||
[[menu.main]]
|
||||
name = "Posts"
|
||||
weight = 4
|
||||
weight = 6
|
||||
url = "posts/"
|
||||
|
||||
[[menu.main]]
|
||||
name = "Tags"
|
||||
weight = 5
|
||||
url = "tags/"
|
||||
|
||||
[[menu.main]]
|
||||
name = "About"
|
||||
weight = 6
|
||||
weight = 7
|
||||
url = "about/"
|
||||
@ -5,19 +5,19 @@ date: 2020-12-25T00:04:40+00:00
|
||||
|
||||
{{% avatar "/images/holo-avatar.jpg" %}}
|
||||
|
||||
<span style="font-size: 30px;">🇬🇧</span> software engineer with experience in __fintech__.
|
||||
UK-based software engineer with experience in __fintech__.
|
||||
|
||||
[__Award-winning__](/dev-engineering/#awards), __first-class__ __masters__ [electronic engineering](/dev-engineering) graduate & previous __Disney__ intern
|
||||
|
||||
I have 8 years experience programming working from [embedded systems](/posts/iot) to [holoportation](/holo) and [full-stack web-dev](/mixonomer).
|
||||
|
||||
Check out my side projects in [__Python__](/tags/python), [__Javascript__](/tags/javascript/), [__Typescript__](/selector), [__C#__](/tags/c%23/) and [__Rust__](/tags/rust/)
|
||||
Check out my side projects in [__Python__](/mixonomer), [__Javascript__](/mixonomer), [__Typescript__](/selector), [__C#__](/selector) and [__Rust__](/posts/draught)
|
||||
|
||||
I also have 6 years experience with __Linux__ for both desktop and server. I use [__Terraform__](/tags/terraform/) and [__Ansible__](/tags/ansible/) to manage my infrastructure 'on-prem' and in the cloud, I have experience with __Jenkins__ and __Github Actions__ for __CI/CD__ pipelines
|
||||
I also have 6 years experience with __Linux__ for both desktop and server. I use __Terraform__ and __Ansible__ to manage my infrastructure 'on-prem' and in the cloud, I have experience with __Jenkins__ and __Github Actions__ for __CI/CD__ pipelines
|
||||
|
||||
---
|
||||
|
||||
[I draw sometimes too](/art/)
|
||||
[I draw sometimes too](https://www.instagram.com/pack_it_in_/)
|
||||
|
||||
---
|
||||
|
||||
|
||||
@ -6,15 +6,11 @@ aliases:
|
||||
- /dev
|
||||
---
|
||||
|
||||
[](https://git.sarsoo.xyz/sarsoo/-/packages)
|
||||
[](https://git.sarsoo.xyz/sarsoo/-/packages?q=&type=pypi)
|
||||
[](https://git.sarsoo.xyz/sarsoo/-/packages?q=&type=cargo)
|
||||
[](https://git.sarsoo.xyz/sarsoo/-/packages?q=&type=container)
|
||||
[](https://git.sarsoo.xyz/sarsoo/-/packages?q=&type=helm)
|
||||
{{% image-box-link src="/posts/visual-search/mapSurfaceWithMax2.png" href="/posts/visual-search" title="Visual Search" caption="MATLAB" %}}
|
||||
|
||||
{{% image-box-link src="/posts/mixonomer/PlaylistExample.png" href="/posts/mixonomer" title="Mixonomer" caption="Python + React" %}}
|
||||
{{% image-box-link src="/posts/lpss/hood_m_gram.png" href="/posts/lpss" title="Speech Synthesiser" caption="MATLAB" %}}
|
||||
|
||||
{{% image-box-link src="/posts/selector/dashboard.png" href="/posts/selector/" title="Selector" caption="C# + TypeScript + Vue.js" %}}
|
||||
{{% image-box-link src="/posts/markov/StateTopology.png" href="/posts/markov" title="Hidden Markov Models" caption="MATLAB" %}}
|
||||
|
||||
# [Infrastructure]({{< relref "infra" >}})
|
||||
|
||||
@ -26,11 +22,7 @@ Basically, Terraform creates and destroys infrastructure, Ansible manages the OS
|
||||
|
||||
[Read More]({{< relref "infra" >}})
|
||||
|
||||
{{% image-box-link src="/posts/visual-search/mapSurfaceWithMax2.png" href="/posts/visual-search" title="Visual Search" caption="MATLAB" %}}
|
||||
|
||||
{{% image-box-link src="/posts/lpss/hood_m_gram.png" href="/posts/lpss" title="Speech Synthesiser" caption="MATLAB" %}}
|
||||
|
||||
{{% image-box-link src="/posts/markov/StateTopology.png" href="/posts/markov" title="Hidden Markov Models" caption="Python + Numpy" %}}
|
||||
---
|
||||
|
||||
# [Holoportation](/holo)
|
||||
|
||||
@ -74,7 +66,7 @@ The system is now deployed with a fully serverless architecture.
|
||||
|
||||
[Try It Out](https://mixonomer.sarsoo.xyz/)
|
||||
|
||||
[](https://github.com/Sarsoo/Mixonomer)
|
||||
[Source Code](https://github.com/Sarsoo/Mixonomer)
|
||||
|
||||
---
|
||||
|
||||
@ -91,7 +83,7 @@ A __Spotify__ listening agent which watches what you listen to and presents rela
|
||||
|
||||
[Try It Out](https://selector.sarsoo.xyz/)
|
||||
|
||||
[](https://github.com/Sarsoo/Selector)
|
||||
[Source Code](https://github.com/Sarsoo/Selector)
|
||||
|
||||
---
|
||||
|
||||
@ -127,13 +119,11 @@ Throughout my studies I found myself particularly interested in the signal proce
|
||||
|
||||
[Posts](/posts)
|
||||
|
||||
[](https://github.com/Sarsoo?tab=repositories&q=coursework)
|
||||
[Coursework Code](https://github.com/Sarsoo?tab=repositories&q=coursework)
|
||||
|
||||
---
|
||||
|
||||
<!--- 2016 for coding, 2018 for Linux --->
|
||||
|
||||
I've been coding for 8 years and I now work as a software engineer in fintech. Day-to-day this is in [__C#__](/holo/) and [__TypeScript__](/mixonomer) but I also like working with [__Python__](/mixonomer) and [__Rust__](https://github.com/Sarsoo?tab=repositories&q=&type=&language=rust&sort=). I keep all of my projects on [](http://github.com/sarsoo).
|
||||
I've been coding for 8 years and I now work as a software engineer in fintech. Day-to-day this is in [__C#__](/holo/) and [__TypeScript__](/mixonomer) but I also like working with [__Python__](/mixonomer) and [__Rust__](https://github.com/Sarsoo?tab=repositories&q=&type=&language=rust&sort=). I keep all of my projects on [__GitHub__](http://github.com/sarsoo).
|
||||
|
||||
Alongside development I also enjoy working on infrastructure, I have 5 years experience using __Linux__ and managing networks. I have experience working with cloud technologies – from [__virtual machines__](/holo), [__web server PaaS__](/mixonomer) and [__serverless functions__](/mixonomer) to [__NoSQL__](/mixonomer), Big Data SQL and [__pub/sub messaging__](/mixonomer). Much of this experience was gained during my [__Mixonomer__](/mixonomer) project and during my __Disney__ internship. As part of my [dissertation](/holo#research), I used a global cluster of virtual machines as an environment to measure and experiment with holographic video QoS over long distances.
|
||||
|
||||
|
||||
@ -2,11 +2,6 @@
|
||||
title: "Draught: Rust WASM Game With AI Player"
|
||||
date: 2021-07-13T14:02:40+00:00
|
||||
draft: false
|
||||
tags:
|
||||
- Rust
|
||||
- WASM
|
||||
categories:
|
||||
- Dev
|
||||
---
|
||||
|
||||
|
||||
@ -47,6 +42,6 @@ In order to make the game more fun to play, I introduced a further parameter, th
|
||||
|
||||
Ultimately, I was pretty happy with the project and it can now be used as a testbed for trying out new Rust, WASM and Javascript skills that I learn.
|
||||
|
||||
[](https://github.com/sarsoo/draught)
|
||||
[GitHub Repo](https://github.com/sarsoo/draught)
|
||||
|
||||
# [Try it out!](https://draught.sarsoo.xyz/)
|
||||
@ -3,10 +3,6 @@ title: "Electric Vehicle Scheduler"
|
||||
description: "Writing a fullstack electric vehicle parking spot scheduler system"
|
||||
date: 2019-01-14T14:35:40+00:00
|
||||
draft: false
|
||||
tags:
|
||||
- Python
|
||||
- Uni
|
||||
- Cloud
|
||||
---
|
||||
|
||||
As part of my third-year group project, I wrote and deployed a cloud-based electric vehicle scheduling system. The target use case was for public or internally accessible electric vehicle charging spots. Leaving a car in the spot past when it has charged stops other people for using it, the idea was to allow people to book slots for spaces instead.
|
||||
@ -17,7 +13,7 @@ The project was divided into three areas of concern:
|
||||
- A mobile app for requesting slots and receiving notifications
|
||||
- A cloud-based back end service for hosting the application's logic
|
||||
|
||||
[](https://github.com/Sarsoo/electric-vehicle-scheduler)
|
||||
[Github Repo](https://github.com/Sarsoo/electric-vehicle-scheduler)
|
||||
|
||||
{{< figure src="cloud-structure.png" alt="cloud-structure" >}}
|
||||
|
||||
|
||||
@ -2,11 +2,6 @@
|
||||
title: "Game of Life: Rust WASM Exercise"
|
||||
date: 2021-06-26T14:14:40+00:00
|
||||
draft: false
|
||||
tags:
|
||||
- Rust
|
||||
- WASM
|
||||
categories:
|
||||
- Dev
|
||||
---
|
||||
|
||||
|
||||
@ -17,6 +12,6 @@ One of my first exposures to Rust WebAssembly was following the Rust + WASM Book
|
||||
|
||||
This would prove a useful base from which to develop my [checkers implementation](/posts/draught).
|
||||
|
||||
[](https://github.com/sarsoo/game-of-life)
|
||||
[GitHub Repo](https://github.com/sarsoo/game-of-life)
|
||||
|
||||
[Try it out!](https://life.sarsoo.xyz/)
|
||||
@ -4,13 +4,6 @@ date: 2021-01-19T21:49:40+00:00
|
||||
draft: false
|
||||
aliases:
|
||||
- /holo
|
||||
tags:
|
||||
- Uni
|
||||
- C#
|
||||
- C++
|
||||
- Cloud
|
||||
categories:
|
||||
- Dev
|
||||
---
|
||||
|
||||
[LiveScan3D](https://github.com/MarekKowalski/LiveScan3D) is a holographic teleportation or _holoportation_ platform. The app has a client-server model for streaming 3D or _volumetric_ video over the internet. It was written in 2015 by a pair of academics at the Warsaw University of Technology, [Marek Kowalski](http://home.elka.pw.edu.pl/~mkowals6/) and [Jacek Naruniec](http://home.elka.pw.edu.pl/~jnarunie/).
|
||||
|
||||
@ -2,8 +2,6 @@
|
||||
title: "Wordpress → Hugo"
|
||||
date: 2022-09-20T07:43:40+00:00
|
||||
draft: false
|
||||
tags:
|
||||
- Cloud
|
||||
---
|
||||
|
||||
|
||||
@ -20,4 +18,4 @@ When it comes to deployment, my first instinct was to use GitHub Pages. The stat
|
||||
|
||||
So, for now, I am hosting the site on my public VPS. This means it's not coming from a crazy large CDN but a single server which could make it a bit slower. I hope that the increased speed from serving only static files should help there. As I said, though, there are so many options to host static sites from GitHub Pages to public facing S3 buckets it could be fun to revisit this. I have left the GitHub Pages workflow in place as a [beta](https://new.sarsoo.xyz) of the site, I push new changes to production with Ansible at the moment.
|
||||
|
||||
[](https://github.com/Sarsoo/sarsooxyz-hugo)
|
||||
[GitHub Repo](https://github.com/Sarsoo/sarsooxyz-hugo)
|
||||
@ -1,14 +1,6 @@
|
||||
---
|
||||
title: "Terraform + Ansible + Docker: Killer Reproducible & Portable Infrastructure"
|
||||
date: 2023-04-11T21:26:40+00:00
|
||||
tags:
|
||||
- DevOps
|
||||
- Terraform
|
||||
- Ansible
|
||||
- Cloud
|
||||
- Networking
|
||||
categories:
|
||||
- Homelab
|
||||
---
|
||||
|
||||
I have been playing with Ansible & Terraform to manage my infrastructure since early 2022. Both of these technologies have a bit of a learning curve, but in the last few months, I have found the pattern to allow me to expand the services that I run and how comfortable I am with how stable they are.
|
||||
|
||||
@ -2,15 +2,10 @@
|
||||
title: "IoT Coursework"
|
||||
date: 2020-11-24T15:03:40+00:00
|
||||
draft: false
|
||||
tags:
|
||||
- Uni
|
||||
- C
|
||||
categories:
|
||||
- Dev
|
||||
---
|
||||
|
||||
My post-grad internet of things coursework concerned coding a smart sensor using a Contiki-based board. Written in C, the software collected light readings into a buffer before processing these data groups using symbolic aggregate approximation or SAX. This piece achieved 95%.
|
||||
|
||||
[](https://github.com/Sarsoo/IoT-Labs)
|
||||
[GitHub Repo](https://github.com/Sarsoo/IoT-Labs)
|
||||
|
||||
[Read the report here.](report.pdf)
|
||||
@ -2,15 +2,9 @@
|
||||
title: "Listening Engineering: ML + Spotify + Last.fm"
|
||||
date: 2021-02-20T12:22:40+00:00
|
||||
draft: false
|
||||
tags:
|
||||
- Python
|
||||
- ML
|
||||
- Music
|
||||
categories:
|
||||
- Dev
|
||||
---
|
||||
|
||||
[](https://github.com/Sarsoo/listening-analysis)
|
||||
[Source Code](https://github.com/Sarsoo/listening-analysis)
|
||||
|
||||
As my [Music Tools](https://sarsoo.xyz/music-tools/) project progressed, I found myself with a cloud environment and a growing dataset of my listening habits to explore. __Spotify__ provides audio features for all of the tracks on its service. These features describe qualities about the track such as how instrumental it is, how much energy it has. I wanted to investigate whether the features that describe my larger genre-playlists were coherent enough to use as the classes of a classifier. I compared the performance of SVM’s with shallow multi-layer perceptrons.
|
||||
|
||||
@ -90,4 +84,4 @@ Similar to class rebalancing, the dataset also required processing. Before using
|
||||
|
||||
Instead of allowing this to be determined by a random split, the dataset was _stratified_ when splitting. This applies the given proportion of training to test set to each class during the split such that the same proportion of tracks occur in either dataset.
|
||||
|
||||
[](https://github.com/Sarsoo/listening-analysis)
|
||||
[Source Code](https://github.com/Sarsoo/listening-analysis)
|
||||
@ -2,12 +2,6 @@
|
||||
title: "Linear Predictive Speech Synthesiser"
|
||||
date: 2020-11-10T14:48:40+00:00
|
||||
draft: false
|
||||
tags:
|
||||
- Uni
|
||||
- Matlab
|
||||
- ML
|
||||
categories:
|
||||
- Dev
|
||||
---
|
||||
|
||||
During my speech & audio processing & recognition post-grad module, I completed two pieces of coursework. The first of which involved writing and analysing a speech synthesiser utilising linear predictive coding. The report achieved 95%.
|
||||
@ -16,7 +10,7 @@ During my speech & audio processing & recognition post-grad module, I completed
|
||||
|
||||
The report analysed two vowel segments in order to identify their fundamental frequencies and the first handful of formant frequencies. After this, linear predictive coefficients of varying orders were calculated and used in conjunction with the fundamental frequency to re-synthesise the vowel.
|
||||
|
||||
[](https://github.com/Sarsoo/linear-predictive-speech-synth)
|
||||
[GitHub Repo](https://github.com/Sarsoo/linear-predictive-speech-synth)
|
||||
|
||||
[Read the report here.](final-report.pdf)
|
||||
|
||||
|
||||
@ -2,12 +2,6 @@
|
||||
title: "Hidden Markov Model Training"
|
||||
date: 2021-01-05T11:12:40+00:00
|
||||
draft: false
|
||||
tags:
|
||||
- Uni
|
||||
- Python
|
||||
- ML
|
||||
categories:
|
||||
- Dev
|
||||
---
|
||||
|
||||
|
||||
@ -30,6 +24,6 @@ From here, the coursework tested the ability to calculate and analyse various as
|
||||
|
||||
The above graph is presenting the __occupation likelihoods__ of each state at each time step or observation. It is the joint probability from the forward and backward likelihoods. From here it looks like the observations were taken from state 2 for 3 time-steps before swapping to state 1 for 4 time-steps and changing back to state 2 for the last one.
|
||||
|
||||
[](https://github.com/Sarsoo/markov-models)
|
||||
[GitHub Repo](https://github.com/Sarsoo/markov-models)
|
||||
|
||||
[Read the report here.](report.pdf)
|
||||
@ -2,8 +2,6 @@
|
||||
title: "Net-Zero Cable Repair Ship"
|
||||
date: 2021-01-10T18:44:40+00:00
|
||||
draft: false
|
||||
tags:
|
||||
- Uni
|
||||
---
|
||||
|
||||
I've just completed one of my post-grad modules which was structured as a multi-disciplinary group design project. A group of engineers of varying disciplines came together to design a subsea fibre-optic cable repair ship which is net-zero carbon.
|
||||
@ -32,6 +30,6 @@ Drones are used in subsea cable repair to locate, cut and retrieve each half of
|
||||
|
||||
This requires a number of advances including onboard power, a more advanced navigation system and a more flexible launch and recovery system.
|
||||
|
||||
[](https://github.com/Sarsoo/MDDP-Cableship)
|
||||
[GitHub Repo](https://github.com/Sarsoo/MDDP-Cableship)
|
||||
|
||||
[Read the report here.](report-extra.pdf)
|
||||
@ -2,11 +2,6 @@
|
||||
title: "More Sustainable Terraform: Breaking Down the Beast"
|
||||
date: 2023-09-10T08:34:40+00:00
|
||||
draft: false
|
||||
tags:
|
||||
- Terraform
|
||||
- Cloud
|
||||
categories:
|
||||
- Dev
|
||||
---
|
||||
|
||||
I [wrote earlier this year]({{< relref "infra" >}}) about jumping into Terraform to manage my infrastructure. I love the [idemptotent](https://en.wikipedia.org/wiki/Idempotence) behaviour and the way that the declarative format leads to a self-documenting, centralised repository of my resources across a variety of platforms.
|
||||
|
||||
Binary file not shown.
|
Before Width: | Height: | Size: 243 KiB After Width: | Height: | Size: 122 KiB |
Binary file not shown.
|
Before Width: | Height: | Size: 213 KiB After Width: | Height: | Size: 130 KiB |
Binary file not shown.
|
Before Width: | Height: | Size: 189 KiB After Width: | Height: | Size: 88 KiB |
@ -4,12 +4,6 @@ date: 2021-01-19T14:23:40+00:00
|
||||
draft: false
|
||||
aliases:
|
||||
- /mixonomer
|
||||
tags:
|
||||
- Python
|
||||
- Javascript
|
||||
- Cloud
|
||||
categories:
|
||||
- Dev
|
||||
---
|
||||
|
||||
|
||||
@ -54,8 +48,8 @@ The app sits in the background now, it has replaced [__Smarter Playlists__](http
|
||||
|
||||
# [Try It Out](https://mixonomer.sarsoo.xyz/)
|
||||
|
||||
[](https://github.com/Sarsoo/Mixonomer)
|
||||
[Github](https://github.com/Sarsoo/Mixonomer)
|
||||
|
||||
[iOS ](https://github.com/Sarsoo/Mixonomer-iOS)
|
||||
[iOS Github](https://github.com/Sarsoo/Mixonomer-iOS)
|
||||
|
||||
[C# ](https://github.com/Sarsoo/Mixonomer.NET)
|
||||
[C# Github](https://github.com/Sarsoo/Mixonomer.NET)
|
||||
@ -2,8 +2,6 @@
|
||||
title: "Nanotechnology Coursework"
|
||||
date: 2019-11-19T14:43:40+00:00
|
||||
draft: false
|
||||
tags:
|
||||
- Uni
|
||||
---
|
||||
|
||||
As part of my 3rd-year nanoscience and nanotechnology module, I wrote a report on a quantum well design and the nanomaterial-based cancer treatment, Abraxane.
|
||||
|
||||
@ -2,9 +2,6 @@
|
||||
title: "ROS Labs"
|
||||
date: 2020-05-19T22:49:40+00:00
|
||||
draft: false
|
||||
tags:
|
||||
- Uni
|
||||
- C++
|
||||
---
|
||||
|
||||
One of my 3rd-year university modules was a robotics module working with the ROS ecosystem in Python and C++. The course worked through the theory of the field including navigation and mapping in the context of how this is implemented in ROS.
|
||||
|
||||
@ -4,13 +4,6 @@ date: 2022-04-04T21:26:40+00:00
|
||||
draft: false
|
||||
aliases:
|
||||
- /selector
|
||||
tags:
|
||||
- Music
|
||||
- C#
|
||||
- Vue
|
||||
- Javascript
|
||||
categories:
|
||||
- Dev
|
||||
---
|
||||
|
||||
|
||||
|
||||
@ -1,85 +0,0 @@
|
||||
---
|
||||
title: "Going all in on Tailscale"
|
||||
date: 2024-07-02T08:26:40+00:00
|
||||
tags:
|
||||
- DevOps
|
||||
- Networking
|
||||
categories:
|
||||
- Homelab
|
||||
---
|
||||
|
||||
I've been fiddling with Tailscale for a while. It has always seemed like a really cool piece of tech but there have been a few things that have held me back from going all in.
|
||||
|
||||
For context, Tailscale is a VPN platform built on top of Wireguard that builds a flat, programmable network. It has some helpful features to help keep clients connected in ways Wireguard won't, by default. This helps with clients that are behind complex NATs.
|
||||
|
||||
I've been running my own Wireguard tunnels for home access since before Tailscale came out and was always pretty impressed with what Wireguard represents over the alternatives. I ran an OpenVPN tunnel a long time ago and, to be honest, it was comparatively crap. Wireguard being just a key pair is so simple and the performance is basically native.
|
||||
|
||||
This meant that my remote access solution was heavily centred on my Pfsense router for both Wireguard tunnel hosting and all of the routing rules. These routing rules allowed me to build my reverse VPN solution and include any forward VPN connections.
|
||||
|
||||
_Here, I am using reverse and forward in the way that it is used when talking about Proxies, which isn't a way I have heard VPNs described before but should make describing it easier. Here, a **reverse** VPN is for accessing protected resources, in the way that an enterprise VPN functions. A **forward** VPN is for protecting outgoing traffic using a commercial service like Nord/Proton VPN._
|
||||
|
||||
# Sharing
|
||||
|
||||
The ability to share resources is a powerful addition to the overlay network that allows exporting and importing components from other people. Previously, if I have wanted to share resources and services with friends and family they would either need to be publically accessible or people would need to be onboarded to the self-hosted Wireguard which is a bit onerrous. With Tailscale, it's super simple just invite them to access a specific node with a link or an email.
|
||||
|
||||
You can then control what they can access further with ACL rules.
|
||||
|
||||
# Containers
|
||||
|
||||
While this is all very powerful, one of the things which finally got me to take another look was the ability to combine Tailscale and its Serve + Funnel features with individual Docker Containers. [Alex Kretzschmar did a video for Tailscale](https://tailscale.com/kb/1282/docker) where he lays out how this works. Essentially, instead of just adding a machine to Tailscale, you can add a single container.
|
||||
|
||||
This works by standing up a Tailscale container alongside the target and making the target use it as its network using `network_mode`. Under the hood, this makes the two containers share a network namespace and effectively share a `localhost`.
|
||||
|
||||
Combining this with the sharing capabilities, you no longer need to share a whole machine with someone else, instead you can share just one container.
|
||||
|
||||
## Serve + Funnel
|
||||
|
||||
I use a lot of NGINX, it's great. My Ansible setup templates my NGINX configs for me and it integrates with it really well. I'm also a big fan of Caddy, I tend to use this on my internet-facing services because the auto-provisioning and renewal of LetsEncrypt certificates really make life easy. What I'm saying is I like reverse proxies, they make me happy and they make life livable with a heavily containerised homelab.
|
||||
|
||||
Tailscale Serve and Tailscale Funnel are ways to reverse proxy natively in Tailscale and really supercharge Tailscale-connected containers. In short, Tailscale Serve reverse proxies ports to your tailnet while Funnel extends that to make that port publically accessible, *with a LetsEncrypt certificate by default*. This is super cool.
|
||||
|
||||
To be fair, directly connecting a container to the public internet without some sort of reverse proxy would probably be more pain than it's worth, few containers expose port 80 let alone 80 and 443 - *and this is a good thing, that's what reverse proxies are for*. but Serve + Funnel makes the whole thing work.
|
||||
|
||||
|
||||
# CI/CD
|
||||
|
||||
This is a bit of a rabbit hole, it's something I've done fairly recently and I'm not sure if I like it. It still sort of gives me weird vibes but it is undeniably powerful. You can create OAuth clients for Tailscale, allowing you to programmatically manage the network. You can use this to allow Github Actions runners to authenticate and gain access to your Tailnet.
|
||||
|
||||
Combine this with Tailscale SSH which allows you to replace the SSH keys auth layer with the ACLs of Tailscale and you have a way to let your CI/CD pipelines SSH into your Tailnet machines and deploy code that isn't cloud-hosted.
|
||||
|
||||
I really like how this closes the loop and helps implement full-throated CD. It also sort of scares me that Github can SSH into my infrastructure. Let's call it an experiment, we'll see if I stick with it. Don't get me wrong, it's ACL-ed to the eyeballs, but it still feels odd.
|
||||
|
||||
# Dopamine
|
||||
|
||||
A few things that I have managed to do with Tailscale that made me happy to wrap up.
|
||||
|
||||
## Itty bitty containers of DNS
|
||||
|
||||
You can set the DNS servers used by nodes on your Tailnet, you can also do split DNS where requests for specific domains are routed to specific servers. This was a bit of an itch for me, I use my own domain on my homelab and I wanted to be able to keep doing split DNS for my domain when on Tailscale.
|
||||
|
||||
To achieve this I deployed containers for Bind DNS server that are only available on my Tailnet. Ansible renders the Zone files so that when you are requesting from a Tailscale IP it returns the Tailscale IP for the machine instead of the `192.168.x.x` IP. The config looks a bit like this:
|
||||
|
||||
```
|
||||
acl "ts-subnet" { 100.64.0.0/10; };
|
||||
|
||||
view "tailscale" {
|
||||
match-clients { "ts-subnet"; };
|
||||
|
||||
<ZONE FILES>
|
||||
};
|
||||
|
||||
view "native" {
|
||||
match-clients { any; };
|
||||
|
||||
<ZONE FILES>
|
||||
};
|
||||
```
|
||||
|
||||
I also run three Bind containers, one at home, one in Linode and one in Oracle cloud. This not only adds redundancy but should also help with resolution speed when I'm not at home.
|
||||
|
||||
## Shhh, what SSH
|
||||
|
||||
There have been a few SSH scares recently, first the whole social engineering System D thing, [then the RCE](https://www.wiz.io/blog/cve-2024-6387-critical-rce-openssh). SSH is very secure and it's _proooobably_ fine to have it open on the internet, but with Tailscale you don't have to so I don't. That just makes me a bit happy.
|
||||
|
||||
|
||||
So, for now, I'm using Tailscale as my VPN solution. It's still got some drawbacks, but I'm having fun playing with it, and it has some real strengths over rolling your own Wireguard solution.
|
||||
@ -2,12 +2,6 @@
|
||||
title: "Visual Search Report"
|
||||
date: 2019-12-03T14:26:40+00:00
|
||||
draft: false
|
||||
tags:
|
||||
- Uni
|
||||
- Matlab
|
||||
- ML
|
||||
categories:
|
||||
- Dev
|
||||
---
|
||||
|
||||
As part of my computer vision and pattern recognition module, I wrote and reported on a [visual search](https://en.wikipedia.org/wiki/Visual_search) system using the [MSRC v2 data set](http://download.microsoft.com/download/3/3/9/339D8A24-47D7-412F-A1E8-1A415BC48A15/msrc_objcategimagedatabase_v2.zip). Visual search is essentially what Google's reverse image search does. Given a target image, the system should be able to return similar images based on its content. The dataset is divided into 20 different categories including trees, cows and faces - a good visual search system will be able to retrieve the images of the same category as the subject before the other less relevant images.
|
||||
@ -76,4 +70,4 @@ From both of the above graphs, the L1 distance measure consistently outperformed
|
||||
|
||||
This work was one of my favourite pieces of coursework I did at uni. I really got sucked into playing with the different descriptors and visualisation. Once I was happy with the MATLAB syntax I kept adding to the system, finally writing an automation that allowed the surface plots seen above for the different grid sizes. These were huge calculations that basically did the whole visual search process from start to end over and over again for each grid dimension combination. It was the first time that I had to leave my computer working at my code; it was really rewarding when it was these that were specifically identified as making the piece worthy of full marks.
|
||||
|
||||
[](https://github.com/Sarsoo/visual-search)
|
||||
[GitHub Repo](https://github.com/Sarsoo/visual-search)
|
||||
@ -18,6 +18,7 @@
|
||||
[<a href="{{ .Site.Params.commit }}/{{ .GitInfo.Hash }}">{{ .GitInfo.AbbreviatedHash }}</a>]
|
||||
{{ end }}
|
||||
|
||||
<img src="/images/andy.png" width="80px" class="footer-logo" />
|
||||
<img src="/images/andy.png" width="80px" />
|
||||
<span style="color: #b0b0b0">©</span>
|
||||
</section>
|
||||
</footer>
|
||||
|
||||
@ -1,3 +1 @@
|
||||
<div class="avatar">
|
||||
<img src="{{ .Get 0 }}" style="border-radius: 50%; width: 30rem; margin-left: auto; margin-right: auto; display: block;"/>
|
||||
</div>
|
||||
<img src="{{ .Get 0 }}" style="border-radius: 50%; width: 40rem; margin-left: auto; margin-right: auto; display: block;"/>
|
||||
@ -1,13 +1,62 @@
|
||||
<div>
|
||||
<div class="box-link">
|
||||
<span aria-hidden="true"></span>
|
||||
<img loading="lazy" alt="" src="{{ .Get "src" }}">
|
||||
<div>
|
||||
<p style="font-size:30px;">
|
||||
<a href="{{ .Get "href" }}">{{ .Get "title" }}</a>
|
||||
<div style="
|
||||
border: 50px black;
|
||||
position: relative;
|
||||
background-size: cover;
|
||||
background-position: 50%;
|
||||
width: 100%;
|
||||
display: flex;
|
||||
justify-content: center;
|
||||
align-items: center;
|
||||
box-sizing: border-box;
|
||||
margin-top: 20px;
|
||||
margin-bottom: 20px;">
|
||||
<span aria-hidden="true" style="
|
||||
border: none;
|
||||
border-radius: 10px;
|
||||
opacity: .5;
|
||||
background-color: black;
|
||||
position: absolute;
|
||||
top: 0; left: 0; bottom: 0; right: 0;
|
||||
z-index: 1; "></span>
|
||||
<img loading="lazy" alt="" src="{{ .Get "src" }}" style="
|
||||
/* object-position:38% 50%; */
|
||||
z-index: 0;
|
||||
position: absolute;
|
||||
top: 0; left: 0; bottom: 0; right: 0;
|
||||
margin: 0;
|
||||
padding: 0;
|
||||
width: 100%; height: 100%;
|
||||
object-fit: cover;
|
||||
outline: none;
|
||||
border: 4px solid black;
|
||||
border-radius: 10px;
|
||||
box-shadow: 5px 5px;">
|
||||
<div style="
|
||||
z-index: 1;
|
||||
margin-top: 50px;
|
||||
margin-bottom: 50px;
|
||||
margin-right: 5%;
|
||||
margin-left: 5%;">
|
||||
<p style="
|
||||
font-size:30px; color: white;
|
||||
margin: auto;
|
||||
text-align: center;
|
||||
text-shadow: 0px 2px black;">
|
||||
<a href="{{ .Get "href" }}"
|
||||
style="
|
||||
color: white;
|
||||
cursor: pointer;
|
||||
text-underline-offset: 3px;
|
||||
text-decoration-skip-ink: all;">{{ .Get "title" }}</a>
|
||||
</p>{{if isset .Params "caption" }}
|
||||
<p style="font-family: monospace;
|
||||
margin-top: 20px;">{{ .Get "caption" }}</p>{{end}}
|
||||
<p style="
|
||||
color: white;
|
||||
text-align: center;
|
||||
font-family: monospace;
|
||||
margin: auto;
|
||||
margin-top: 20px;
|
||||
text-shadow: 0px 1px black;">{{ .Get "caption" }}</p>{{end}}
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
@ -1 +1 @@
|
||||
Subproject commit 759cc945636473d251a28597e2007cbb7d11631d
|
||||
Subproject commit e35f1da207cb25f4fce730177423d041cf90e7dd
|
||||
Loading…
Reference in New Issue
Block a user