Thanks to awesome @alexellis for this contribution:
- Set an Inlets Token
export INLETS_TOKEN=abcd1234
- Deploy Inlets on Akash using the below config:
Thanks to awesome @alexellis for this contribution:
export INLETS_TOKEN=abcd1234
| --- | |
| version: "1.0" | |
| services: | |
| inlets: | |
| image: inlets/inlets:2.6.1 | |
| args: | |
| - server | |
| - --control-port=8081 | |
| - --port=8081 |
Thanks to Alex Ellis. Convert a B&W picture into color:
wget https://i.etsystatic.com/7867627/r/il/e78b18/1482264837/il_570xN.1482264837_rbr1.jpg
curl -s --data-binary @./il_570xN.1482264837_rbr1.jpg http://6mwebzdfo8k5chwcqkdwz5.roy.akashtest.net > sf.jpg
open sf.jpgTo run your own ML job, here's a sample:
A privacy-preserving, censorship-resistant and a peer-to-peer mechanism for long-distance messaging
In the era of surveillance capitalism, the inalienable human right to privacy is under threat from unstoppable forces. We need a decentralized system that guarantees privacy by ensuring sovereignty over one's messages and its transit.
Our solutional was to look towards nature. For the longest time in our history, pigeons were used to carry messages as "messenger pigeons" for their exceptional homing ability -- the ability to find its way home over extremely long distances (1,100 miles). Our solution is to breed an army of pigeons, nested over a decentralized network of messaging hubs.The team has released a prototype, codenamed "Birdik"
| { | |
| "annotations": { | |
| "list": [ | |
| { | |
| "builtIn": 1, | |
| "datasource": "-- Grafana --", | |
| "enable": true, | |
| "hide": true, | |
| "iconColor": "rgba(0, 211, 255, 1)", | |
| "name": "Annotations & Alerts", |
| { | |
| "annotations": { | |
| "list": [ | |
| { | |
| "builtIn": 1, | |
| "datasource": "-- Grafana --", | |
| "enable": true, | |
| "hide": true, | |
| "iconColor": "rgba(0, 211, 255, 1)", | |
| "name": "Annotations & Alerts", |
| /** | |
| * Retrieves all the rows in the active spreadsheet that contain data and logs the | |
| * values for each row. | |
| * For more information on using the Spreadsheet API, see | |
| * https://developers.google.com/apps-script/service_spreadsheet | |
| */ | |
| function readRows() { | |
| var sheet = SpreadsheetApp.getActiveSheet(); | |
| var rows = sheet.getDataRange(); | |
| var numRows = rows.getNumRows(); |
I was unable to find EOS binaries online so I built them on my workstation. This process take a little over 15 minutes. To begin, download the source from github and build using the script.
$ mkdir -p ~/EOSIO
$ git clone https://github.com/EOSIO/eos --recursive
$ cd ~/EOSIO/eos
| apiVersion: v1 | |
| kind: Pod | |
| metadata: | |
| name: redis | |
| labels: | |
| name: redis | |
| spec: | |
| volumes: | |
| - name: redis-storage | |
| persistentVolumeClaim: |
| --- | |
| kind: PersistentVolume | |
| metadata: | |
| name: redispv | |
| spec: | |
| capacity: | |
| storage: 8Gi | |
| accessModes: | |
| - ReadWriteOnce | |
| persistentVolumeReclaimPolicy: Retain |