Ahoy
Sidekiq
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Ahoy | Sidekiq | |
---|---|---|
15 | 91 | |
4,081 | 12,940 | |
- | 0.5% | |
7.5 | 8.9 | |
16 days ago | 3 days ago | |
Ruby | Ruby | |
MIT License | GNU Lesser General Public License v3.0 only |
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.
Ahoy
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Ahoy Captain: a full-featured, mountable analytics dashboard
A full-featured, mountable analytics dashboard for your Rails app, which is a blatant rip-off of heavily inspired by Plausible Analytics, powered by Ahoy. Open source, though lots of changing parts: https://github.com/joshmn/ahoy_captain
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Best rails tools to automatically handle logging of things like all a user's actions, or changes to a record in a module - primarily for audit purposes.
For logging which functions were used you can use ahoy
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How would you build an audit log in Rails for a high-throughput API?
Ahoy may be worth a try https://github.com/ankane/ahoy
- Want to keep track of URL visits, what's the simplest way to do achieve this?
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Italian watchdog bans use of Google Analytics
I've slowly started ripping Google Analytics out of my Rails projects and replacing it with https://github.com/ankane/ahoy.
It's so much better! I can just use SQL to see what's going in and not get overwhelmed with 100's of visualizations and complicated dashboards.
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Need some good documentation on implementation or tutorial video for AHOY gem
it's just a database table, so yeah, a migration is fine: https://github.com/ankane/ahoy/issues/461
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Make Ahoy Queries faster?
I'm using the ahoy gem for analytics on my website (https://github.com/ankane/ahoy).
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Cookie-based tracking is dead
I did server-side tracking test in a rails app, where I implemented a tracking gem called ahoy and blazer for visualization. It is very easy to set up, but a bit hard to use. Blazer can do a very basic visualization of the data if you know your SQL queries.
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How would you build/record/store analytics data ;
https://github.com/ankane/ahoy The ahoy gem is pretty useful for this. Data model is pretty simple, it will track unique user sessions and metrics you specify will be associated with these sessions. The gem also parses the user agent, so it will indicate whether a session was on mobile, desktop or tablet.
Sidekiq
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solid_queue alternatives - Sidekiq and good_job
3 projects | 21 Apr 2024
I'd say Sidekiq is the top competitor here.
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Valkey Is Rapidly Overtaking Redis
There's something wrong at Redislabs, it took them over a year to get RESP3 rolled out into their hosted service, you'd expect a rollout of that to be a bit quicker when they're the owner of Redis.
It affected us when upgrading Sidekiq to version 7, which dropped support for older Redis, and their Envoy proxy setup didn't support HELLO and RESP3: https://github.com/sidekiq/sidekiq/issues/5594
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Redis Re-Implemented with SQLite
That depends on how the `maxmemory-policy` is configured, and queue systems based on Redis will tell you not to allow eviction. https://github.com/sidekiq/sidekiq/wiki/Using-Redis#memory (it even logs a warnings if it detects your Redis is misconfigured IIRC).
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3 one-person million dollar online businesses
Sidekiq https://sidekiq.org/: This one started as an open source project, once it got enough traction, the developer made a premium version of it, and makes money by selling licenses to businesses.
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Choose Postgres Queue Technology
Sidekiq will drop in-progress jobs when a worker crashes. Sidekiq Pro can recover those jobs but with a large delay. Sidekiq is excellent overall but it’s not suitable for processing critical jobs with a low latency guarantee.
https://github.com/sidekiq/sidekiq/wiki/Reliability
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We built the fastest CI in the world. It failed
> I'm not sure feature withholding has traditionally worked out well in the developer space.
I think it's worked out well for Sidekiq (https://sidekiq.org). I really like their model of layering valuable features between the OSS / Pro / Enterprise licenses.
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Exploring concurrent rate limiters, mutexes, semaphores
I was studying Sidekiq's page on rate limiters. The first type of rate limiting mentioned is the concurrent limiter: only n tasks are allowed to run at any point in time. Note that this is independent of time units (e.g. per second), or how long they take to run. The only limitation is the number of concurrent tasks/requests.
- Ask HN: What are some of the most elegant codebases in your favorite language?
- Sidekiq and managing resumable jobs?
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Organize Business Logic in Your Ruby on Rails Application
The code above isn't idempotent. If you run it twice, it will create two copies, which is probably not what you intended. Why is this important? Because most backend job processors like Sidekiq don't make any guarantees that your jobs will run exactly once.
What are some alternatives?
Impressionist - Rails Plugin that tracks impressions and page views
Resque - Resque is a Redis-backed Ruby library for creating background jobs, placing them on multiple queues, and processing them later.
Legato - Google Analytics Reporting API Client for Ruby
Sneakers - A fast background processing framework for Ruby and RabbitMQ
active_analytics - First-party, privacy-focused traffic analytics for Ruby on Rails applications.
Shoryuken - A super efficient Amazon SQS thread based message processor for Ruby
Staccato - Ruby library to perform server-side tracking into the official Google Analytics Measurement Protocol
Sucker Punch - Sucker Punch is a Ruby asynchronous processing library using concurrent-ruby, heavily influenced by Sidekiq and girl_friday.
Gabba - Simple way to send server-side notifications to Google Analytics
Apache Kafka - Mirror of Apache Kafka
Analytical
celery - Distributed Task Queue (development branch)