Results for observed-http

observed-http

An observability tool for Rack applications, analyzing SQL and HTTP with a Chrome extension as a dashboard

Connect to the BBC Backstage (http://backstage.bbc.co.uk) weather API and get weather observations and forecasts for thousands of cities worldwide. No login is required to the BBC for use.

Non-parametric test for assessing whether two independent samples of observations come from the same distribution. Extracted from StatSample (https://github.com/sciruby/statsample)

Methodist - a gem for Ruby on Rails created to stop chaos in your business logic. This gem adds generators to your rails application using some patterns: interactor, builder, observer and client. Just use `rails g <pattern> <new_class_name>`. Docs: https://github.com/QNester/methodist/wiki

SaloPulse Ruby SDK provides automatic request tracking, performance measurement, and real-time analytics integration for Rails apps. It captures HTTP traffic and sends metrics to the SaloPulse Observability Platform.

This is the simple REST client for Observability API V1. Simple REST clients are Ruby client libraries that provide access to Google services via their HTTP REST API endpoints. These libraries are generated and updated automatically based on the discovery documents published by the service, and they handle most concerns such as authentication, pagination, retry, timeouts, and logging. You can use this client to access the Observability API, but note that some services may provide a separate modern client that is easier to use.

Production-ready Ruby SDK for AllStak observability: auto-installing Rails Railtie and Rack middleware, a Sidekiq server middleware, ActiveRecord instrumentation, outbound HTTP capture, distributed tracing, cron monitoring, and structured logs.

Sashiko is a small Ruby gem that adds a declarative span DSL on top of OpenTelemetry, plus helpers for keeping trace context attached as work crosses Thread, Fiber, queue, HTTP, and Ractor boundaries. Includes a span-replay mechanism for emitting spans from Ractor workers, optional Faraday and Anthropic adapters, RBS signatures, and a Ruby::Box-aware `tracer:` injection path for multi-tenant observability.

DEPRECATED PROJECT. MIGRATED TO PYTHON: https://github.com/seoanezonjic/pets. PETS suite includes three different tools. CohortAnalyzer performs the calculation of several statistics that gives an overview of a cohort of patients to analyse. Reg2Phen uses associations between pathological phenotypes and regions of the genome (these associations can be calculated from the cohort of patients if they include genotypic & phenotypic information using NetAnalyzer, another Ruby gem) to find, for a given genomic region, which pathological phenotypes have been associated with that region. The third tool, Phen2Reg, is a predictor that using the same associations as Reg2Phen, predicts which genomic regions can be the cause of a list of pathological phenotypes observed in a patient.

E11y (Easy Telemetry) - Observability for Rails developers who hate noise. UNIQUE FEATURES: • Request-scoped debug buffering - buffers debug logs in memory, flushes ONLY on errors • Zero-config SLO tracking - automatic Service Level Objectives for HTTP endpoints and jobs • Schema-validated events - catch bugs before production with dry-schema DEVELOPER EXPERIENCE: • Minimal setup — one config block, works with stdout out of the box • Auto-metrics from events (no manual Yabeda.increment) • Rails-first design (follows Rails conventions) • Pluggable adapters (Loki, Sentry, OpenTelemetry, custom backends) COST SAVINGS: • Reduce log storage costs by 90% (request-scoped buffering) • Replace expensive APM SaaS ($500-5k/month → infra costs only) • Own your observability data (no vendor lock-in) PRODUCTION-READY: • Thread-safe for multi-threaded Rails + Sidekiq • Adaptive sampling (error-based, load-based, value-based) • PII filtering (GDPR-compliant masking/hashing) • Performance optimized (hash-based events, minimal allocations) Perfect for Rails 7.0+ teams who need observability without complexity or high costs.

http://www.engineyard.com/blog/2010/extending-rails-3-with-railties/ http://www.igvita.com/2010/08/04/rails-3-internals-railtie-creating-plugins/ h1. Morning Glory Morning Glory is comprised of a rake task and helper methods that manages the deployment of static assets into an Amazon CloudFront CDN's S3 Bucket, improving the performance of static assets on your Rails web applications. _NOTE: You will require an Amazon Web Services (AWS) account in order to use this gem. Specially: S3 for storing the files you wish to distribute, and CloudFront for CDN distribution of those files._ This version of Morning Glory works with Rails 3.x and Ruby 1.9.x h2. What does it do? Morning Glory provides an easy way to deploy Ruby on Rails application assets to the Amazon CloudFront CDN. It solves a number of common issues with S3/CloudFront. For instance, CloudFront won't automatically expire old assets stored on edge nodes when you redeploy new assets (the Cloudfront expiry time is 24 hours minimum). To fix this Morning Glory will automatically namespace asset releases for you, then update all references to those renamed assets within your stylesheets ensuring there are no broken asset links. It also provides a helper method to rewrite all standard Rails asset helper generated URLs to your CloudFront CDN distributions, as well as handling switching between HTTP and HTTPS. Morning Glory was also built with SASS (Syntactically Awesome Stylesheets) in mind. If you use Sass for your stylesheets they will automatically be built before deployment to the CDN. See http://sass-lang.com/ for more information on Sass.s h2. What it doesn't do Morning Glory cannot configure your CloudFront distributions for you automatically. You will manually have to login to your AWS Management Console account, "https://console.aws.amazon.com/cloudfront/home":https://console.aws.amazon.com/cloudfront/home, and set up a distribution pointing to an S3 Bucket. h2. Installation <pre> gem 'morning_glory' </pre> h2. Usage Morning Glory provides it's functionality via rake tasks. You'll need to specify the target rails environment configuration you want to deploy for by using the @RAILS_ENV={env}@ parameter (for example, @RAILS_ENV=production@). <pre> rake morning_glory:cloudfront:deploy RAILS_ENV={YOUR_TARGET_ENVIRONMENT} </pre> h2. Configuration h3. The Morning Glory configuration file, @config/morning_glory.yml@ You can specify a configuration section for every rails environment (production, staging, testing, development). This section can have the following properties defined: <pre> --- production: enabled: true # Is MorningGlory enabled for this environment? bucket: cdn.production.foo.com # The bucket to deploy your assets into s3_logging_enabled: true # Log the deployment to S3 revision: "20100317134627" # The revision prefix. This timestamp automatically generateed on deployment delete_prev_rev: true # Delete the previous asset release (save on S3 storage space) </pre> h3. The Amazon S3 authentication keys configuration file, @config/s3.yml@ This file provides the access credentials for your Amazon AWS S3 account. You can configure keys for all your environments (production, staging, testing, development). <pre> --- production: access_key_id: YOUR_ACCESS_KEY secret_access_key: YOUR_SECRET_ACCESS_KEY </pre> Note: If you are deploying your system to Heroku, you can configure your Amazon AWS S3 information with the environment variables S3_KEY and S3_SECRET instead of using a configuration file. h3. Set up an asset_host For each environment that you'd like to utilise the CloudFront CDN for you'll need to define the asset_host within the @config/environments/{ENVIRONMENT}.rb@ configuration file. As of June 2010 AWS supports HTTPS requests on the CloudFront CDN, so you no longer have to worry about switching servers. (Yay!) h4. Example config/environments/production.rb @asset_host@ snippet: Here we're targeting a CNAME domain with HTTP support. <pre> ActionController::Base.asset_host = Proc.new { |source, request| if request.ssl? "#{request.protocol}#{request.host_with_port}" else "#{request.protocol}assets.example.com" end } </pre> h3. Why do we have to use a revision-number/namespace/timestamp? Once an asset has been deployed to the Amazon Cloudfront edge servers it cannot be modified - the version exists until it expires (minimum of 24 hours). To get around this we need to prefix the asset path with a revision of some sort - in MorningGlory's case we use a timestamp. That way you can deploy many times during a 24 hour period and always have your latest revision available on your web site. h2. Dependencies h3. AWS S3 Required for uploading the assets to the Amazon Web Services S3 buckets. See "http://amazon.rubyforge.org/":http://amazon.rubyforge.org/ for more documentation on installation. h2. About the name Perhaps not what you'd expect; a "Morning Glory":http://en.wikipedia.org/wiki/Morning_Glory_cloud is a rare cloud formation observed by glider pilots in Australia (see my side project, "YourFlightLog.com for flight-logging software for paraglider and hang-glider pilots":http://www.yourflightlog.com, from which the Morning Glory plugin was originally extracted). Copyright (c) 2010 "@AdamBurmister":http://twitter.com/adamburmister/, released under the MIT license

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