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

Backtrace vs Kuoll

OverviewComparisonAlternatives

Overview

Backtrace
Backtrace
Stacks30
Followers22
Votes0
Kuoll
Kuoll
Stacks1
Followers11
Votes1

Kuoll vs Backtrace: What are the differences?

What is Kuoll? Know how errors affect revenue. Automated error monitoring. Built around e-commerce KPIs.

What is Backtrace? Real-time automated error detection, response and analysis for enterprise-grade software. It is the first debugging platform built for enterprise-grade software. It improves system availability, software quality and team efficiency by bringing automation to incident detection, response and resolution. The debugging platform automatically snapshots faulting applications and their surrounding environments then, analyzes and archives them in a centralized object store so bugs don't get missed and get fixed faster.

Kuoll and Backtrace belong to "Exception Monitoring" category of the tech stack.

Some of the features offered by Kuoll are:

  • 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.

On the other hand, Backtrace provides the following key features:

  • Automated capture, notification, and analysis of software errors for SREs/Ops and Developers
  • Automated analysis crawls application state + code to give you a head start on root cause analysis
  • Captures a rich data set which includes stacktrace across all threads, reachable variables, system information and much more

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Detailed Comparison

Backtrace
Backtrace
Kuoll
Kuoll

It is the first debugging platform built for enterprise-grade software. It improves system availability, software quality and team efficiency by bringing automation to incident detection, response and resolution. The debugging platform automatically snapshots faulting applications and their surrounding environments then, analyzes and archives them in a centralized object store so bugs don't get missed and get fixed faster.

Automated error monitoring. Built around e-commerce KPIs.

Automated capture, notification, and analysis of software errors for SREs/Ops and Developers; Automated analysis crawls application state + code to give you a head start on root cause analysis; Captures a rich data set which includes stacktrace across all threads, reachable variables, system information and much more; Includes support for C/C++; Powerful customizable graphs, visualizations, queries; Custom grouping and classification; Workflow Integration into Slack, HipChat, GitHub, JIRA, etc; Completely extensible crash format and debugger; Orders of magnitudes faster than today's debuggers
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
30
Stacks
1
Followers
22
Followers
11
Votes
0
Votes
1
Pros & Cons
No community feedback yet
Pros
  • 1
    Simple and realtime
Integrations
GitHub
GitHub
Slack
Slack
Datadog
Datadog
Jira
Jira
PagerDuty
PagerDuty
Stride
Stride
Magento
Magento
Slack
Slack
Zendesk
Zendesk
Jira
Jira
Shopify
Shopify
WooCommerce
WooCommerce

What are some alternatives to Backtrace, 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.

OverOps

OverOps

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.

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.

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