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Graylog vs Sentry: What are the differences?

Introduction:

Graylog and Sentry are two popular tools used for monitoring and managing errors and logs in software applications. While they have some similarities, there are several key differences between them that make them suitable for different purposes.

  1. Deployment: Graylog is typically deployed as a standalone server or a cluster of servers, providing a centralized logging solution. On the other hand, Sentry is integrated directly into the application code, allowing for real-time error monitoring and reporting.

  2. Focus: Graylog primarily focuses on log management and analysis, providing centralized log storage and search capabilities. It supports various log sources and provides powerful search and analysis features. In contrast, Sentry focuses on error monitoring and reporting, capturing and reporting exceptions and errors in real-time, providing detailed information such as error stack traces and request information.

  3. User Interface: Graylog provides a web-based user interface that allows users to search, filter, and analyze logs, as well as configure alerts and dashboards. It offers a customizable and flexible interface to suit the needs of different organizations. Sentry, on the other hand, provides a clean and intuitive user interface specifically designed for error monitoring and reporting. It focuses on providing detailed information about errors and giving developers the tools they need to fix them quickly.

  4. Integration: Graylog supports various integrations with popular tools and frameworks, allowing users to collect logs from different sources such as applications, servers, and network devices. It also provides APIs for integration with custom tools and services. Sentry, on the other hand, integrates directly into the application code, supporting various programming languages and frameworks. It automatically captures errors and exceptions and provides detailed information about them.

  5. Alerting and Notifications: Graylog provides a flexible alerting system that allows users to define conditions based on log data and trigger notifications. It supports various notification channels such as email, Slack, and PagerDuty. Sentry also provides alerting and notification capabilities, allowing users to set up rules to be notified about specific types of errors or exceptions. It supports integrations with popular communication tools like Slack.

  6. Scalability and Performance: Graylog can be scaled horizontally by adding additional nodes to the cluster, allowing for increased log storage and processing capacity. It provides high availability and fault tolerance features to ensure uninterrupted log management. Sentry, being integrated into the application code, scales with the application itself. It can handle large volumes of errors and exceptions without impacting application performance.

In summary, Graylog is a powerful log management solution focused on centralizing logs and providing powerful search and analysis capabilities. Sentry, on the other hand, specializes in real-time error monitoring and reporting, providing developers with detailed information about errors and exceptions. Both tools have their strengths and can be used together to achieve comprehensive error and log management in software applications.

Decisions about Graylog and Sentry

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...

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Pros of Graylog
Pros of Sentry
  • 19
    Open source
  • 13
    Powerfull
  • 8
    Well documented
  • 6
    Alerts
  • 5
    User authentification
  • 5
    Flexibel query and parsing language
  • 3
    User management
  • 3
    Easy query language and english parsing
  • 3
    Alerts and dashboards
  • 2
    Easy to install
  • 1
    A large community
  • 1
    Manage users and permissions
  • 1
    Free Version
  • 237
    Consolidates similar errors and makes resolution easy
  • 121
    Email Notifications
  • 108
    Open source
  • 84
    Slack integration
  • 71
    Github integration
  • 49
    Easy
  • 44
    User-friendly interface
  • 28
    The most important tool we use in production
  • 18
    Hipchat integration
  • 17
    Heroku Integration
  • 15
    Good documentation
  • 14
    Free tier
  • 11
    Self-hosted
  • 9
    Easy setup
  • 7
    Realiable
  • 6
    Provides context, and great stack trace
  • 4
    Feedback form on error pages
  • 4
    Love it baby
  • 3
    Gitlab integration
  • 3
    Filter by custom tags
  • 3
    Super user friendly
  • 3
    Captures local variables at each frame in backtraces
  • 3
    Easy Integration
  • 1
    Performance measurements

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Cons of Graylog
Cons of Sentry
  • 1
    Does not handle frozen indices at all
  • 12
    Confusing UI
  • 4
    Bundle size

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What is 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.

What is Sentry?

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

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What companies use Graylog?
What companies use Sentry?
See which teams inside your own company are using Graylog or Sentry.
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What tools integrate with Graylog?
What tools integrate with Sentry?

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Blog Posts

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What are some alternatives to Graylog and Sentry?
Splunk
It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
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.
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.
Kibana
Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.
Elasticsearch
Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
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