Io_monitor Alternatives

Similar projects and alternatives to io_monitor

rails-brotli-cache

3 251 7.1 Ruby io_monitor VS rails-brotli-cache

Drop-in enhancement for Rails cache, offering better performance and compression with Brotli algorithm
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2 910 6.0 Ruby io_monitor VS Rails Performance

Monitor performance of you Rails applications (self-hosted and free)
InfluxDB

www.influxdata.com featured

Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
prosopite

19 1,435 7.2 Ruby io_monitor VS prosopite

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rails-mini-profiler

7 404 5.8 Ruby io_monitor VS rails-mini-profiler

Performance profiling for Rails, made simple 🦔
QueryTrack

1 291 4.4 Ruby io_monitor VS QueryTrack

Find time-consuming database queries for ActiveRecord-based Rails Apps
DatabaseConsistency

8 983 7.5 Ruby io_monitor VS DatabaseConsistency

The tool to avoid various issues due to inconsistencies and inefficiencies between a database schema and application models.
active_record_doctor

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Identify database issues before they hit production.
SaaSHub

www.saashub.com featured

SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better io_monitor alternative or higher similarity.

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io_monitor reviews and mentions

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Gem that detects possible memory leaks early
1 project | /r/rails | 23 May 2022

Memory leak happens when application tries to load a lot of things to the memory and holds them, so garbadge collector cannot collect objects untill request is fully served. When Ruby virtual machine gets memory from the operating system it won't be able to return it back because of the page fragmentation, so your monitoring will show that application took a lot and stopped somewhere.[io_monitor](https://github.com/DmitryTsepelev/io_monitor) tracks the amount of memory consumed when data was loaded from various IO–sources (currently—from the network and the database), compares it with the response size and sends the warning to the logs when the ratio is bigger than expected: