Perf Avore: A Rule Based CrossPlatform Performance Based Monitoring and Analysis Tool

This page summarizes the projects mentioned and recommended in the original post on dev.to

Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
  • FSharpAdvent_2021

    Discontinued Rule based performance analysis and monitoring tool [Moved to: https://github.com/MokoSan/PerfAvore]

  • The code is available here.

  • realmon

    A monitoring tool that tells you when GCs happen in a process and some characteristics about these GCs

  • Perf Avore was heavily inspired by maoni0's realmon, a monitoring tool that tells you when GCs happen in a process and some characteristics about these GCs. My contributions and associated interactions for realmon definitely were incredibly instrumental in coming up with this idea and it's implementation.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

    WorkOS logo
  • ML.NET

    ML.NET is an open source and cross-platform machine learning framework for .NET.

  • The one Anomaly Detection algorithm implemented is that of Independent and Identically Distributed Spike Detector from Microsoft.ML.TimeSeries that makes use of adaptive kernel density estimation to compute p-values to decide how much of an anomaly a certain point is.

  • PerfAvore

    Rule based performance analysis and monitoring tool for dotnet written in F#.

  • Prior to writing this Console App, I prototyped functionality to test out smaller components that can be found here. Some of the prototypes include:

  • ionide-vscode-fsharp

    VS Code plugin for F# development

  • Perf Avore was developed on VSCode using the ionide plugin and dotnet cli.

  • InfluxDB

    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.

    InfluxDB logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts