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  1. Stackups
  2. DevOps
  3. Error Tracking
  4. Exception Monitoring
  5. Kuoll vs OverOps

Kuoll vs OverOps

OverviewComparisonAlternatives

Overview

OverOps
OverOps
Stacks25
Followers43
Votes27
Kuoll
Kuoll
Stacks1
Followers11
Votes1

Kuoll vs OverOps: What are the differences?

# Introduction

Key differences between Kuoll and OverOps are:

1. **Deployment Method**: Kuoll integrates easily with the continuous delivery pipeline, enabling automatic deployment without any manual intervention, whereas OverOps requires manual setup and configuration for deployment.
2. **Supported Languages**: Kuoll supports a wide range of programming languages including Java, Python, and Node.js, while OverOps has a more limited language support primarily focused on Java and .NET applications.
3. **Root Cause Analysis**: Kuoll provides detailed root cause analysis by capturing variable values and execution context at the time of the error, allowing for better understanding and resolution of issues. OverOps focuses more on categorizing errors and exceptions without providing extensive context information for debugging.
4. **Alerting Mechanism**: Kuoll offers customizable alerting mechanisms that notify developers about errors in real-time through various channels such as Slack or email, whereas OverOps relies more on a dashboard for manual error monitoring and alerting.
5. **Collaboration Features**: Kuoll provides collaboration features like comments and annotations on error instances, facilitating better communication among team members for issue resolution, unlike OverOps which lacks such collaborative tools.
6. **Cost Structure**: Kuoll offers a straightforward pricing model based on the number of monitored applications, while OverOps pricing is more complex, based on the number of nodes, agents, and additional features required for monitoring.

# Summary

In Summary, Kuoll and OverOps differ in deployment method, supported languages, root cause analysis, alerting mechanism, collaboration features, and cost structure.

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Detailed Comparison

OverOps
OverOps
Kuoll
Kuoll

OverOps maps the DNA of code as it’s executing in pre-prod and production to Identify all issues and anomalies, and deliver True Root Cause to the right person, without relying on logs.

Automated error monitoring. Built around e-commerce KPIs.

Deep code visibility;Real-Time Visibility;Jenkins Quality Gates;Trends;True Root Cause;Code Quality Gates;Production Monitoring;Error Resolution
Revenue loss reports - Take an overview of your revenue losses. Navigate down to specific issues (such as checkout errors) and user sessions. Fix bugs to get your revenues back.; Data analytics - Analyze missed profits with the detailed data provided, including user events, network error codes, their descriptions, etc.; Timely alerts - Keep your dev team up to date on production status. Smart, no-spam alerts allow developers to fix critical issues ASAP.; Steps to reproduce - User session steps provide insights on how to reproduce a particular problem on a e-commerce server or front-end. DOM snapshots and XmlHttpRequest calls allow investigating issues even further.
Statistics
Stacks
25
Stacks
1
Followers
43
Followers
11
Votes
27
Votes
1
Pros & Cons
Pros
  • 8
    In-depth error analysis with variable values in product
  • 5
    All the info you need to solve bugs without logs
  • 4
    Jira & Github integration
  • 4
    OverOps reveals the unknown
  • 3
    Scala support
Pros
  • 1
    Simple and realtime
Integrations
Kubernetes
Kubernetes
New Relic
New Relic
Slack
Slack
Grafana
Grafana
Cloud Foundry
Cloud Foundry
Jenkins
Jenkins
PagerDuty
PagerDuty
AppDynamics
AppDynamics
TeamCity
TeamCity
Jira
Jira
Magento
Magento
Slack
Slack
Zendesk
Zendesk
Jira
Jira
Shopify
Shopify
WooCommerce
WooCommerce

What are some alternatives to OverOps, Kuoll?

Sentry

Sentry

Sentry’s Application Monitoring platform helps developers see performance issues, fix errors faster, and optimize their code health.

Rollbar

Rollbar

Rollbar is the leading continuous code improvement platform that proactively discovers, predicts, and remediates errors with real-time AI-assisted workflows. With Rollbar, developers continually improve their code and constantly innovate ra

Bugsnag

Bugsnag

Bugsnag captures errors from your web, mobile and back-end applications, providing instant visibility into user impact. Diagnostic data and tools are included to help your team prioritize, debug and fix exceptions fast.

Raygun

Raygun

Raygun gives you a window into how users are really experiencing your software applications. Detect, diagnose and resolve issues that are affecting end users with greater speed and accuracy.

Opbeat

Opbeat

Opbeat is application monitoring for developers, and gives you performance metrics, error logging, release tracking and workflow in one smart product.

Airbrake

Airbrake

Airbrake collects errors for your applications in all major languages and frameworks. We alert you to new errors and give you critical context, trends and details needed to find and fix errors fast.

Honeybadger

Honeybadger

Honeybadger does more than report errors, it helps you work with your team to fix them. Errors can be assigned. You can comment via email. And a fine-grained permissions system means you control who has access to each specific project.

Errbit

Errbit

Errbit is a tool for collecting and managing errors from other applications. It is Airbrake (formerly known as Hoptoad) API compliant, so if you are already using Airbrake, you can just point the airbrake gem to your Errbit server.

TrackJS

TrackJS

Production error monitoring and reporting for web applications. TrackJS provides deep insights into real user errors. See the user, network, and application events that tell the story of an error so you can actually fix them.

App Enlight

App Enlight

App Enlight provides a helpful interface to let you and your team save time spent on debugging and reproducing exceptions and performance issues from a production environment.

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