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

AWS CloudTrail vs Sentry

OverviewDecisionsComparisonAlternatives

Overview

Sentry
Sentry
Stacks15.1K
Followers9.4K
Votes864
GitHub Stars42.4K
Forks4.5K
AWS CloudTrail
AWS CloudTrail
Stacks304
Followers280
Votes14

AWS CloudTrail vs Sentry: What are the differences?

Introduction:

1. Key difference in data handling: AWS CloudTrail mainly focuses on logging API activity, providing a detailed history of API calls for compliance and security purposes. On the other hand, Sentry is designed specifically for monitoring application errors and exceptions in real-time, allowing developers to identify and fix issues quickly.

2. Integration scope: AWS CloudTrail integrates seamlessly with various AWS services, capturing events across the entire AWS infrastructure. In contrast, Sentry primarily focuses on integrating with application codebases, providing detailed error tracking and monitoring within the application environment.

3. Real-time monitoring capabilities: Sentry offers real-time error tracking, alerting developers to issues as they occur, allowing for immediate response and resolution. AWS CloudTrail, on the other hand, offers a historical view of API activity, which may not be as immediate or real-time as Sentry's monitoring capabilities.

4. Use case focus: While AWS CloudTrail is ideal for compliance, auditing, and security monitoring within the AWS environment, Sentry is more targeted towards developers and DevOps teams looking to troubleshoot application errors and exceptions efficiently.

5. Cost structure: AWS CloudTrail is typically included in AWS service subscriptions, with pricing based on usage. In contrast, Sentry offers various pricing tiers based on the level of features and service required, making it more customizable for different budget and usage needs.

6. Customization and control: Sentry allows for detailed customization of error tracking and reporting within the application, offering more control over how errors are monitored and managed compared to AWS CloudTrail's standardized logging of API activity.

In Summary, the key differences between AWS CloudTrail and Sentry lie in their focus on data handling, integration scope, real-time monitoring capabilities, use case focus, cost structure, and customization and control options for error tracking and monitoring.

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Advice on Sentry, AWS CloudTrail

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
AWS CloudTrail
AWS CloudTrail

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

With CloudTrail, you can get a history of AWS API calls for your account, including API calls made via the AWS Management Console, AWS SDKs, command line tools, and higher-level AWS services (such as AWS CloudFormation). The AWS API call history produced by CloudTrail enables security analysis, resource change tracking, and compliance auditing. The recorded information includes the identity of the API caller, the time of the API call, the source IP address of the API caller, the request parameters, and the response elements returned by the AWS service.

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.
Increased Visibility- CloudTrail provides increased visibility into your user activity by recording AWS API calls. You can answer questions such as, what actions did a given user take over a given time period? For a given resource, which user has taken actions on it over a given time period? What is the source IP address of a given activity? Which activities failed due to inadequate permissions?;Durable and Inexpensive Log File Storage- CloudTrail uses Amazon S3 for log file storage and delivery, so log files are stored durably and inexpensively. You can use Amazon S3 lifecycle configuration rules to further reduce storage costs. For example, you can define rules to automatically delete old log files or archive them to Amazon Glacier for additional savings.;Easy Administration- CloudTrail is a fully managed service; you simply turn on CloudTrail for your account using the AWS Management Console, the Command Line Interface, or the CloudTrail SDK and start receiving CloudTrail log files in the Amazon Simple Storage Service (Amazon S3) bucket that you specify.;Reliable- CloudTrail continuously transports events from AWS services using a highly available and fault tolerant processing pipeline.;Timely Delivery- CloudTrail typically delivers events within 15 minutes of the API call.;Log File Aggregation- CloudTrail can be configured to aggregate log files across multiple accounts and regions so that log files are delivered to a single bucket. Please refer to the of the AWS CloudTrail User Guide for detailed instructions.;Notifications for Log File Delivery- CloudTrail can be configured to publish a notification for each log file delivered, thus enabling you to automatically take action upon log file delivery. CloudTrail uses the Amazon Simple Notification Service (SNS) for notifications.;Choice of Partner Solutions- Multiple partners including AlertLogic, Boundary, Loggly, Splunk and Sumologic offer integrated solutions to analyze CloudTrail log files. These solutions include features like change tracking, troubleshooting, and security analysis.
Statistics
GitHub Stars
42.4K
GitHub Stars
-
GitHub Forks
4.5K
GitHub Forks
-
Stacks
15.1K
Stacks
304
Followers
9.4K
Followers
280
Votes
864
Votes
14
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
  • 7
    Very easy setup
  • 3
    Good integrations with 3rd party tools
  • 2
    Backup to S3
  • 2
    Very powerful
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
Boundary
Boundary
Loggly
Loggly
Splunk Cloud
Splunk Cloud

What are some alternatives to Sentry, AWS CloudTrail?

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.

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.

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