InfluxDB
litestream
InfluxDB | litestream | |
---|---|---|
28 | 165 | |
27,797 | 10,026 | |
0.9% | - | |
9.9 | 7.5 | |
4 days ago | 16 days ago | |
Rust | Go | |
Apache License 2.0 | 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.
InfluxDB
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Quant Research of the Week (5th Edition)
Scalable Realtime Datastore: The piece examines a scalable datastore specifically created for metrics events and real-time analytics. (2013-09-26, shares: 26787.0)
- InfluxDB is an open source time series database written in Rust
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InfluxDB CTO: Why We Moved from Go to Rust
How does one upgrade from v2 beta to the latest v2? The docs for doing that seem to no longer exist https://github.com/influxdata/influxdb/issues/24393
- InfluxDB 3 is out, OSS commits have been tried up - is this the end?
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InfluxDB dashboard column order
Here is the GitHub issue for sorting/specifying column order: https://github.com/influxdata/influxdb/issues/15957
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reduct-storage alternatives - minio and InfluxDB
3 projects | 4 Oct 2022
- A practical approach to structuring Golang applications
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What do you use InfluxDB for in your APIs?
And InfluxDB Github commit history histogram is telling its story https://github.com/influxdata/influxdb/graphs/contributors
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What is the coolest Go open source projects you have seen?
InfluxDB
- Open Source Databases in Go
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 Guide🧙🏽
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 – 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?
VictoriaMetrics - VictoriaMetrics: fast, cost-effective monitoring solution and time series database
rqlite - The lightweight, distributed relational database built on SQLite.
TDengine - TDengine is an open source, high-performance, cloud native time-series database optimized for Internet of Things (IoT), Connected Cars, Industrial IoT and DevOps.
pocketbase - Open Source realtime backend in 1 file
prometheus - The Prometheus monitoring system and time series database.
realtime - Broadcast, Presence, and Postgres Changes via WebSockets
Graphite - A highly scalable real-time graphing system
k8s-mediaserver-operator - Repository for k8s Mediaserver Operator project
Squirrel - Fluent SQL generation for golang
sqlcipher - SQLCipher is a standalone fork of SQLite that adds 256 bit AES encryption of database files and other security features.
RRDtool - RRDtool 1.x - Round Robin Database
litefs - FUSE-based file system for replicating SQLite databases across a cluster of machines