mrsk
litestream
mrsk | litestream | |
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26 | 167 | |
6,294 | 10,063 | |
- | - | |
9.4 | 7.5 | |
9 months ago | about 1 month ago | |
TeX | Go | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
mrsk
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Deploy Anycable with MRSK
Here we'll deploy Anycable wih MRSK.
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Fly.io Postgres cluster went down for 3 days, no word from them about it
Honestly these days I am leaning towards this approach: https://github.com/mrsked/mrsk/
It's all just docker.
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The Curse of Scalable Technology
Did you consider MRSK[1], k3s[2], or dokku[3]? They are all significantly simpler to operate than Kubernetes, curious to hear your take.
[1] https://github.com/mrsked/mrsk
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How to cache MRSK deployments in CI
https://github.com/mrsked/mrsk/pull/159 Closed PR about --cache-to option in MRSK
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Thoughts on MSRK?
Yes, that thing with the setup is misleading in the docs. I'll make a PR now. There's this issue about it: https://github.com/mrsked/mrsk/issues/301
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Rails Foundation announces first-ever conference!
god or bad, dhh is doing noise and people know about rails. just look at there https://github.com/mrsked/mrsk
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MRSK vs. Fly.io
I don't think there's a writeup out there, but mrsk just uses docker under the hood. So, if you have a CMD in your Dockerfile, it will use that.
If you have an image that can run multiple things, like a rails app that can run the app process for web traffic by default, but it can also run job workers with the right command, you can provide the cmd in the mrsk config. You can see this in the jobs role in the example: https://github.com/mrsked/mrsk#using-different-roles-for-ser....
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Looking to use Docker & Docker Compose in production and need advice.
You may want to checkout MRSK if you are going to be using docker compose in production on a single VPS https://github.com/mrsked/mrsk
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Deploying with MRSK
"MRSK basically is Capistrano for Containers, without the need to carefully prepare servers in advance" https://github.com/mrsked/mrsk
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Need some advice on how to deploy images to our vending machines
https://github.com/mrsked/mrsk might be interesting to you.
litestream
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Ask HN: SQLite in Production?
I have not, but I keep meaning to collate everything I've learned into a set of useful defaults just to remind myself what settings I should be enabling and why.
Regarding Litestream, I learned pretty much all I know from their documentation: https://litestream.io/
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How (and why) to run SQLite in production
This presentation is focused on the use-case of vertically scaling a single server and driving everything through that app server, which is running SQLite embedded within your application process.
This is the sweet-spot for SQLite applications, but there have been explorations and advances to running SQLite across a network of app servers. LiteFS (https://fly.io/docs/litefs/), the sibling to Litestream for backups (https://litestream.io), is aimed at precisely this use-case. Similarly, Turso (https://turso.tech) is a new-ish managed database company for running SQLite in a more traditional client-server distribution.
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SQLite3 Replication: A Wizard's Guideπ§π½
This post intends to help you setup replication for SQLite using Litestream.
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Ask HN: Time travel" into a SQLite database using the WAL files?
I've been messing around with litestream. It is so cool. And, I either found a bug in the -timestamp switch or don't understand it correctly.
What I want to do is time travel into my sqlite database. I'm trying to do some forensics on why my web service returned the wrong data during a production event. Unfortunately, after the event, someone deleted records from the database and I'm unsure what the data looked like and am having trouble recreating the production issue.
Litestream has this great switch: -timestamp. If you use it (AFAICT) you can time travel into your database and go back to the database state at that moment. However, it does not seem to work as I expect it to:
https://github.com/benbjohnson/litestream/issues/564
I have the entirety of the sqlite database from the production event as well. Is there a way I could cycle through the WAL files and restore the database to the point in time before the records I need were deleted?
Will someone take sqlite and compile it into the browser using WASM so I can drag a sqlite database and WAL files into it and then using a timeline slider see all the states of the database over time? :)
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Ask HN: Are you using SQLite and Litestream in production?
We're using SQLite in production very heavily with millions of databases and fairly high operations throughput.
But we did run into some scariness around trying to use Litestream that put me off it for the time being. Litestream is really cool but it is also very much a cool hack and the risk of database corruption issues feels very real.
The scariness I ran into was related to this issue https://github.com/benbjohnson/litestream/issues/510
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Pocketbase: Open-source back end in 1 file
Litestream is a library that allows you to easily create backups. You can probably just do analytic queries on the backup data and reduce load on your server.
https://litestream.io/
- Litestream β Disaster recovery and continuous replication for SQLite
- Litestream: Replicated SQLite with no main and little cost
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Why you should probably be using SQLite
One possible strategy is to have one directory/file per customer which is one SQLite file. But then as the user logs in, you have to look up first what database they should be connected to.
OR somehow derive it from the user ID/username. Keeping all the customer databases in a single directory/disk and then constantly "lite streaming" to S3.
Because each user is isolated, they'll be writing to their own database. But migrations would be a pain. They will have to be rolled out to each database separately.
One upside is, you can give users the ability to take their data with them, any time. It is just a single file.
[0]. https://litestream.io/
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Monitor your Websites and Apps using Uptime Kuma
Upstream Kuma uses a local SQLite database to store account data, configuration for services to monitor, notification settings, and more. To make sure that our data is available across redeploys, we will bundle Uptime Kuma with Litestream, a project that implements streaming replication for SQLite databases to a remote object storage provider. Effectively, this allows us to treat the local SQLite database as if it were securely stored in a remote database.
What are some alternatives?
awesome-compose - Awesome Docker Compose samples
rqlite - The lightweight, distributed relational database built on SQLite.
Dokku - A docker-powered PaaS that helps you build and manage the lifecycle of applications
pocketbase - Open Source realtime backend in 1 file
kubero - A free and self-hosted Heroku PaaS alternative for Kubernetes that implements GitOps
realtime - Broadcast, Presence, and Postgres Changes via WebSockets
docker-phoenix-example - A production ready example Phoenix app that's using Docker and Docker Compose.
k8s-mediaserver-operator - Repository for k8s Mediaserver Operator project
lamby - ππ€ Simple Rails & AWS Lambda Integration
sqlcipher - SQLCipher is a standalone fork of SQLite that adds 256 bit AES encryption of database files and other security features.
deploy - Ansible role to deploy scripting applications like PHP, Python, Ruby, etc. in a capistrano style
flyctl - Command line tools for fly.io services