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

Logentries vs Sentry

OverviewDecisionsComparisonAlternatives

Overview

Sentry
Sentry
Stacks15.1K
Followers9.4K
Votes864
GitHub Stars42.4K
Forks4.5K
Logentries
Logentries
Stacks279
Followers174
Votes105

Logentries vs Sentry: What are the differences?

Introduction

In this comparison, we will highlight the key differences between Logentries and Sentry, two popular logging and error tracking tools for developers.

  1. Data Aggregation: Logentries focuses on log management and aggregation, allowing users to consolidate and analyze logs from various sources. Sentry, on the other hand, specializes in error tracking and offers detailed insights into code errors and exceptions.

  2. Real-time Monitoring: Logentries provides real-time monitoring capabilities, enabling users to track and analyze log data as it streams in. Sentry also offers real-time error monitoring, giving developers immediate visibility into issues affecting their applications.

  3. Alerting and Notification: Logentries offers configurable alerting and notification features based on log events and patterns. Sentry provides customizable alerting options for errors and exceptions, allowing users to set up notifications for specific types of issues.

  4. Integration Ecosystem: Logentries offers a wide range of integrations with third-party tools and services, making it easy to connect with other platforms in the developer's workflow. Sentry also provides extensive integrations with popular tools for seamless integration into existing development workflows.

  5. Performance Monitoring: While both Logentries and Sentry offer monitoring capabilities, Logentries excels in performance monitoring, allowing users to track system metrics and analyze application performance alongside log data. Sentry focuses primarily on error tracking and resolution.

In Summary, the key differences between Logentries and Sentry lie in their focus on data aggregation, real-time monitoring, alerting capabilities, integration ecosystem, and performance monitoring features for developers.

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Advice on Sentry, Logentries

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
Logentries
Logentries

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

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.

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.
Logs as Metrics - Extract field level values, analyze them using powerful search functions, and visualize them with detailed dashboards.;Dynamic Log Correlation - Dynamically group and correlate your logs in a single dashboard, or aggregate logs from a particular system to give an end-to-end view.;Live Tail - View your streaming logs in real-time and highlight important events to easily see errors or exceptions in your live data.;S3 Archiving - Backup your log data daily to long term and cost effective triple redundancy storage in a SOC 2 compliant data center.;Server Monitoring - Monitor critical server stats and auto-generate log data for real-time alerting, visualized trending and deep performance insight.;Open API - Build easy, out-of-the-box integrations using Logentries’ open API;leverage existing toolsets and system integrations, including HipChat, PagerDuty and Campfire.;Team-based Annotations - See team member comments, share expertise, and maintain context with the new team-based view of system activity and log events;identify and resolve issues together in real-time.
Statistics
GitHub Stars
42.4K
GitHub Stars
-
GitHub Forks
4.5K
GitHub Forks
-
Stacks
15.1K
Stacks
279
Followers
9.4K
Followers
174
Votes
864
Votes
105
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
  • 34
    Log search
  • 27
    Live logs
  • 19
    Easy setup
  • 14
    Heroku Add-on
  • 5
    Backup to S3
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
cloudControl
cloudControl
Heroku
Heroku
AppFog
AppFog
AppHarbor
AppHarbor
Jelastic
Jelastic
Engine Yard Cloud
Engine Yard Cloud
Red Hat OpenShift
Red Hat OpenShift
PagerDuty
PagerDuty
Campfire
Campfire
HipChat
HipChat

What are some alternatives to Sentry, Logentries?

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.

Logstash

Logstash

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.

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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