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  1. Stackups
  2. DevOps
  3. Error Tracking
  4. Exception Monitoring
  5. LogTrail vs Logstash vs Sentry

LogTrail vs Logstash vs Sentry

OverviewDecisionsComparisonAlternatives

Overview

Sentry
Sentry
Stacks15.1K
Followers9.4K
Votes864
GitHub Stars42.4K
Forks4.5K
Logstash
Logstash
Stacks12.3K
Followers8.8K
Votes103
GitHub Stars14.7K
Forks3.5K
LogTrail
LogTrail
Stacks7
Followers26
Votes0
GitHub Stars1.4K
Forks179

LogTrail vs Logstash vs Sentry: What are the differences?

Introduction

In this article, we will compare LogTrail, Logstash, and Sentry, which are popular tools used for log management and analysis in web development. We will highlight the key differences between these tools to help you understand their unique features and choose the one that suits your requirements.

  1. LogTrail: LogTrail is a plugin for Kibana, an open-source analytics and visualization platform. It provides a user-friendly interface for viewing and searching log events in real-time. LogTrail primarily focuses on enhancing the log viewing experience in Kibana by adding features like color-coded log levels, filtering logs by time range, highlighting and searching keywords, and displaying associated metadata with logs.

  2. Logstash: Logstash is an open-source data-processing pipeline that can ingest data from various sources, transform it, and send it to multiple destinations, including Elasticsearch for indexing and analysis. It serves as a powerful log aggregator and processor, capable of efficiently parsing and enriching logs from different formats and sending them to Elasticsearch for further analysis. Logstash also offers a wide range of plugins to extend its functionalities and support different use cases.

  3. Sentry: Sentry is a cloud-based open-source error tracking and monitoring platform. It specializes in capturing and reporting application errors and exceptions in real-time, allowing developers to diagnose and debug issues quickly. While Sentry can also capture and store logs, its main focus is on capturing and analyzing application errors, providing extensive error details, stack traces, and other relevant information to help developers identify and resolve issues effectively.

  4. LogTrail vs. Logstash: The key difference between LogTrail and Logstash lies in their primary functionalities. LogTrail is mainly designed as a log viewer and search tool, enhancing the log viewing experience in Kibana. On the other hand, Logstash is a versatile data-processing pipeline focused on aggregating, parsing, and transforming logs for storage and analysis. While both tools can be used together in a log management stack, their core functionalities are different.

  5. LogTrail vs. Sentry: LogTrail and Sentry serve different purposes in log management. LogTrail focuses on real-time log viewing and searching within Kibana, providing an intuitive interface for analyzing logs. In contrast, Sentry specializes in error tracking and monitoring, capturing and reporting application errors with detailed information for quick debugging. While both tools can handle logs, their primary use cases and features are distinct, catering to different aspects of application monitoring.

  6. Logstash vs. Sentry: Logstash and Sentry also have key differences in terms of their main functionalities. Logstash's main role is log processing and routing, providing a versatile data pipeline for collecting logs from various sources and processing them for storage and analysis. On the other hand, Sentry is primarily focused on error tracking and monitoring, capturing application errors and providing extensive error details and context. While both tools have log-related features, their core capabilities and use cases diverge significantly.

In summary, LogTrail enhances log viewing in Kibana, Logstash is a versatile log processing and routing tool, and Sentry specializes in error tracking and monitoring. Each tool has its unique features and caters to specific aspects of log management and analysis.

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Advice on Sentry, Logstash, LogTrail

Nicholas
Nicholas

Jun 1, 2020

Decided

I essentially inherited a Shopify theme that was originally created by an agency. After discovering a number of errors being thrown in the Dev Console just by scrolling through the website, I needed more visibility over any errors happening in the field. Having used both Sentry and TrackJS, I always got lost in the TrackJS interface, so I felt more comfortable introducing Sentry. The Sentry free tier is also very generous, although it turns out the theme threw over 15k errors in less than a week.

I highly recommend setting up error tracking from day one. Theoretically, you should never need to upgrade from the free tier if you're keeping on top of the errors...

250k views250k
Comments

Detailed Comparison

Sentry
Sentry
Logstash
Logstash
LogTrail
LogTrail

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

Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana.

LogTrail is a plugin for Kibana to view, analyze, search and tail log events from multiple hosts in realtime with devops friendly interface inspired by Papertrail.

Real-Time Updates: For the first time, developers can fix code-level issues anywhere in the stack well before users even encounter an error.;Complete Context: Spend more time where it matters, rather than investing in low-impact issues.;Integrate Everywhere: Drop-in integration for every major platform, framework, and language -- JavaScript, Python, PHP, Ruby, Node, Java, .NET, mobile.;Root Cause: See the events that lead to errors so you always debug the right thing the first time.;Private & Secure: Sentry is SOC-2 compliant with GDPR, PCI DSS, HIPAA, and Privacy Shield by default.;Open Source: Sentry is 100% open source and available on GitHub.
Centralize data processing of all types;Normalize varying schema and formats;Quickly extend to custom log formats;Easily add plugins for custom data source
View, analyze and search log events from a centralized interface;Clean & simple devops friendly interface;Live tail;Filter aggregated logs by hosts and program;Quickly seek to logs based on time
Statistics
GitHub Stars
42.4K
GitHub Stars
14.7K
GitHub Stars
1.4K
GitHub Forks
4.5K
GitHub Forks
3.5K
GitHub Forks
179
Stacks
15.1K
Stacks
12.3K
Stacks
7
Followers
9.4K
Followers
8.8K
Followers
26
Votes
864
Votes
103
Votes
0
Pros & Cons
Pros
  • 238
    Consolidates similar errors and makes resolution easy
  • 121
    Email Notifications
  • 108
    Open source
  • 84
    Slack integration
  • 71
    Github integration
Cons
  • 12
    Confusing UI
  • 4
    Bundle size
Pros
  • 69
    Free
  • 18
    Easy but powerful filtering
  • 12
    Scalable
  • 2
    Kibana provides machine learning based analytics to log
  • 1
    Well Documented
Cons
  • 4
    Memory-intensive
  • 1
    Documentation difficult to use
No community feedback yet
Integrations
Sprint.ly
Sprint.ly
C#
C#
PagerDuty
PagerDuty
Twilio
Twilio
Auth0
Auth0
Golang
Golang
Datadog
Datadog
Backbone.js
Backbone.js
Django
Django
Swift
Swift
Kibana
Kibana
Elasticsearch
Elasticsearch
Beats
Beats
Kibana
Kibana

What are some alternatives to Sentry, Logstash, LogTrail?

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

Papertrail

Papertrail

Papertrail helps detect, resolve, and avoid infrastructure problems using log messages. Papertrail's practicality comes from our own experience as sysadmins, developers, and entrepreneurs.

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.

Logmatic

Logmatic

Get a clear overview of what is happening across your distributed environments, and spot the needle in the haystack in no time. Build dynamic analyses and identify improvements for your software, your user experience and your business.

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.

Loggly

Loggly

It is a SaaS solution to manage your log data. There is nothing to install and updates are automatically applied to your Loggly subdomain.

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.

Logentries

Logentries

Logentries makes machine-generated log data easily accessible to IT operations, development, and business analysis teams of all sizes. With the broadest platform support and an open API, Logentries brings the value of log-level data to any system, to any team member, and to a community of more than 25,000 worldwide users.

Graylog

Graylog

Centralize and aggregate all your log files for 100% visibility. Use our powerful query language to search through terabytes of log data to discover and analyze important information.

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