llrt
readyset
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llrt | readyset | |
---|---|---|
10 | 24 | |
7,582 | 3,882 | |
6.7% | 9.1% | |
9.6 | 9.8 | |
5 days ago | 4 days ago | |
JavaScript | Rust | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
llrt
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Unlocking Next-Gen Serverless Performance: A Deep Dive into AWS LLRT
FROM --platform=arm64 busybox WORKDIR /var/task/ COPY app.mjs ./ ADD https://github.com/awslabs/llrt/releases/latest/download/llrt-container-arm64 /usr/bin/llrt RUN chmod +x /usr/bin/llrt ENV LAMBDA_HANDLER "app.handler" CMD [ "llrt" ]
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Is AWS Lambda Cold Start Still an Issue?
Let’s get the simplest use case out of the way: cases where the cold starts are so fast that it’s not an issue for you. That’s usually the case for function that use runtimes such as C++, Go, Rust, and LLRT. However, you must follow the best practices and optimizations in every runtime to maintain a low impact cold start.
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JavaScript News, Updates, and Tutorials: February 2024 Edition
But compared to other runtimes, LLRT is not so good in terms of performance when it comes to dealing with large data processing, Monte Carlo simulations, or performing tasks with a large number of iterations. The AWS team says that it is best suited for working with smaller Serverless functions dedicated to tasks such as data transformation, real-time processing, AWS service integrations, authorization, validation, etc. Visit the GitHub repository of this project to learn more information.
- FLaNK Stack 26 February 2024
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People Matter more than Technology when Building Serverless Applications
And lastly, lean into your cloud vendor. Stop trying to build a better mouse trap. Advances in technology are happening all the time. The speed of AWS' Lambda has been rapidly improving over the past couple of years with the launch of things like SnapStart and LLRT
- Hono v4.0.0
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LLRT: A low-latency JavaScript runtime from AWS
It seems they just added the mention to QuickJS, I assume, based on your feedback:
https://github.com/awslabs/llrt/commit/054aefc4d8486f738ed3a...
Props to them on the quick fix!
readyset
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Ask HN: How Can I Make My Front End React to Database Changes in Real-Time?
- Some platforms like Supabase Realtime [3] and Firebase offer subscription models to database changes, but these solutions fall short when dealing with complex queries involving joins or group-bys.
My vision is that the modern frontend to behave like a series of materialized views that dynamically update as the underlying data changes. Current state management libraries handle state trees well but don't seamlessly integrate with relational or graph-like database structures.
The only thing I can think of is to implement it by myself, which sounds like a big PITA.
Anything goes, Brainstorm with me. Is it causing you headaches as well? Are you familiar with an efficient solution? how are you all tackling it?
[1] https://readyset.io/
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FLaNK Stack 26 February 2024
Postgresql + MySQL Cache https://github.com/readysettech/readyset
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Readyset: A MySQL and Postgres wire-compatible caching layer
I just wanted to give a high five for having Jepsen tests for this: https://github.com/readysettech/readyset/tree/stable-240117/...
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Fine-grained caching strategies of dynamic queries
This example is a great use case for partial incremental view maintenance systems like ReadySet: you automatically get something like the “prepopulating the cache” section (toward the end of the blog) while only caching the data the application is using, and avoiding the need to manually implement any sort of invalidation logic.
(Disclaimer: I used to work for them, but don’t anymore. It’s all available for free on GitHub though for anyone interested: https://github.com/readysettech/readyset)
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Squeeze the hell out of the system you have
There are systems that will do that for you like https://readyset.io/.
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Production grade databases in Rust
ReadySet
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Dozer: A scalable Real-Time Data APIs backend written in Rust
readyset.io is the company that jonhoo was associated with for work on noria
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I'm building Memories, a FOSS alternative to Google Photos with a focus on UX and performance
Might be interesting to try out https://readyset.io for this use case.
- Materialized View: SQL Queries on Steroids
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Tips on scaling a monolithic Rust web server?
On the caching topic, I found the ReadySet(né Noria) approach to be extremely interesting.
What are some alternatives?
winterjs - Winter is coming... ❄️
materialize - The data warehouse for operational workloads.
h3 - ⚡️ Minimal H(TTP) framework built for high performance and portability
noria - Fast web applications through dynamic, partially-stateful dataflow
hono - Web Framework built on Web Standards
singleflight - Rust port of Go's singleflight package
hermes - A JavaScript engine optimized for running React Native.
chiselstrike - ChiselStrike abstracts common backends components like databases and message queues, and let you drive them from a convenient TypeScript business logic layer
pljs - PLJS - Javascript Language Plugin for PostreSQL
googleapis - Public interface definitions of Google APIs.
workerd - The JavaScript / Wasm runtime that powers Cloudflare Workers
genSQL - A SQL generator tool to create random rows for test schemas