Rust Microservice

Open-source Rust projects categorized as Microservice Edit details

Top 5 Rust Microservice Projects

  • cube.js

    📊 Cube — Headless Business Intelligence for Building Data Applications

    Project mention: Parsing logs from multiple data sources with Ahana and Cube | dev.to | 2022-06-08

    const measureNames = [ 'perc_10', 'perc_10_value', 'perc_20', 'perc_20_value', 'perc_30', 'perc_30_value', 'perc_40', 'perc_40_value', 'perc_50', 'perc_50_value', 'perc_60', 'perc_60_value', 'perc_70', 'perc_70_value', 'perc_80', 'perc_80_value', 'perc_90', 'perc_90_value', 'perc_100', 'perc_100_value', ]; const measures = Object.keys(measureNames).reduce((result, name) => { const sqlName = measureNames[name]; return { ...result, [sqlName]: { sql: () => sqlName, type: `max` } }; }, {}); cube('errorpercentiles', { sql: `with sagemaker as ( select model_name, variant_name, cast(json_extract(FROM_UTF8( from_base64(capturedata.endpointinput.data)), '$.correlation_id') as varchar) as correlation_id, cast(json_extract(FROM_UTF8( from_base64(capturedata.endpointoutput.data)), '$.prediction') as double) as prediction from s3.sagemaker_logs.logs ) , actual as ( select correlation_id, actual_value from postgresql.public.actual_values ) , logs as ( select model_name, variant_name as model_variant, sagemaker.correlation_id, prediction, actual_value as actual from sagemaker left outer join actual on sagemaker.correlation_id = actual.correlation_id ) , errors as ( select abs(prediction - actual) as abs_err, model_name, model_variant from logs ), percentiles as ( select approx_percentile(abs_err, 0.1) as perc_10, approx_percentile(abs_err, 0.2) as perc_20, approx_percentile(abs_err, 0.3) as perc_30, approx_percentile(abs_err, 0.4) as perc_40, approx_percentile(abs_err, 0.5) as perc_50, approx_percentile(abs_err, 0.6) as perc_60, approx_percentile(abs_err, 0.7) as perc_70, approx_percentile(abs_err, 0.8) as perc_80, approx_percentile(abs_err, 0.9) as perc_90, approx_percentile(abs_err, 1.0) as perc_100, model_name, model_variant from errors group by model_name, model_variant ) SELECT count(*) FILTER (WHERE e.abs_err <= perc_10) AS perc_10 , max(perc_10) as perc_10_value , count(*) FILTER (WHERE e.abs_err > perc_10 and e.abs_err <= perc_20) AS perc_20 , max(perc_20) as perc_20_value , count(*) FILTER (WHERE e.abs_err > perc_20 and e.abs_err <= perc_30) AS perc_30 , max(perc_30) as perc_30_value , count(*) FILTER (WHERE e.abs_err > perc_30 and e.abs_err <= perc_40) AS perc_40 , max(perc_40) as perc_40_value , count(*) FILTER (WHERE e.abs_err > perc_40 and e.abs_err <= perc_50) AS perc_50 , max(perc_50) as perc_50_value , count(*) FILTER (WHERE e.abs_err > perc_50 and e.abs_err <= perc_60) AS perc_60 , max(perc_60) as perc_60_value , count(*) FILTER (WHERE e.abs_err > perc_60 and e.abs_err <= perc_70) AS perc_70 , max(perc_70) as perc_70_value , count(*) FILTER (WHERE e.abs_err > perc_70 and e.abs_err <= perc_80) AS perc_80 , max(perc_80) as perc_80_value , count(*) FILTER (WHERE e.abs_err > perc_80 and e.abs_err <= perc_90) AS perc_90 , max(perc_90) as perc_90_value , count(*) FILTER (WHERE e.abs_err > perc_90 and e.abs_err <= perc_100) AS perc_100 , max(perc_100) as perc_100_value , p.model_name, p.model_variant FROM percentiles p, errors e group by p.model_name, p.model_variant`, preAggregations: { // Pre-Aggregations definitions go here // Learn more here: https://cube.dev/docs/caching/pre-aggregations/getting-started }, joins: { }, measures: measures, dimensions: { modelVariant: { sql: `model_variant`, type: 'string' }, modelName: { sql: `model_name`, type: 'string' }, } });

  • rillrate

    Real-time UI for bots and tools

    Project mention: Large Yew app unveiled: all RillRate sources available now! | reddit.com/r/rillrate | 2021-10-03

    You can see sources of the Yew App here: https://github.com/rillrate/rillrate/tree/trunk/pkg-dashboard

  • SonarLint

    Clean code begins in your IDE with SonarLint. Up your coding game and discover issues early. SonarLint is a free plugin that helps you find & fix bugs and security issues from the moment you start writing code. Install from your favorite IDE marketplace today.

  • wasm-learning

    Building Rust functions for Node.js to take advantage of Rust's performance, WebAssembly's security and portability, and JavaScript's ease-of-use. Demo code and recipes.

  • dapr-wasm

    A template project to demonstrate how to run WebAssembly functions as sidecar microservices in dapr

    Project mention: Image Recognition App using GoLang | Tensorflow | WasmEdge | Dapr | Docker | dev.to | 2022-05-02

    git clone https://github.com/second-state/dapr-wasm.git

  • actix_sqlx_mysql_user_crud

    A user crud written in Rust, designed to connect to a MySQL database with full integration test coverage.

    Project mention: Actix web and mysql set up and orm suggestions ? | reddit.com/r/actix | 2021-09-12

    actix sqlx mysql user crud

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020). The latest post mention was on 2022-06-08.

Rust Microservice related posts

Index

What are some of the best open-source Microservice projects in Rust? This list will help you:

Project Stars
1 cube.js 13,504
2 rillrate 388
3 wasm-learning 313
4 dapr-wasm 127
5 actix_sqlx_mysql_user_crud 73
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