Alerts can be created based on tags or by setting criteria via the intuitive and powerful [search](https://logentries.com/doc/search/) capabilities of LogEntries. To not flood notifications it's possible to specify limitations for alerts, such as how many times an hour an event has to happen for it to trigger a notification. Notifications can be sent by email, mobile messaging or via [webhooks](https://logentries.com/doc/webhookalert/) (webhooks are sent server in real-time, so there's no need for polling for changes).
Ranked in these QuestionsQuestion Ranking
Pro Real-time alerts
Alerts can be created based on tags or by setting criteria via the intuitive and powerful search capabilities of LogEntries. To not flood notifications it's possible to specify limitations for alerts, such as how many times an hour an event has to happen for it to trigger a notification. Notifications can be sent by email, mobile messaging or via webhooks (webhooks are sent server in real-time, so there's no need for polling for changes).
Pro Supports a diverse set of programming languages
Including Java, .Net, Ruby, PHP, node.js, Python.
Pro Free up to 5 GB
Logentries free product allows uploading up to 5 GB of logs a month and has a 7-day retention period. The free product is available after the 30-day trial ends.
Pro Works with multiple PaaS and IaaS
Logentries works with Amazon Web Services (AWS), Heroku, AppFog, Engine Yard and other platform as a service (PaaS) providers, along with Amazon Web Services, Rackspace, Microsoft Azure and other infrastructure as a service (IaaS) providers.
Pro Event and search updates can be viewed in real-time
In Live Tail mode events and searches update in real-time. Live Tail mode can be used in Aggregate View, that allows selecting a combination of logfiles to be viewed together, and with any log groups created. These events are supplemented with tags to allows getting an overview of current events quickly at a glance.
Pro Supports the most popular programming frameworks
Supports the most popular programming frameworks, including Ruby and node.js.
Pro Offers an easy way of visualizing data via graphs
LogEntries allows each logfile to have a separate dashboard of various graphs & widgets put together for visualizing data. A dashboard is put together by dragging & dropping graphs and widgets into place. Graphs and widgets include charts, tables, gauges, event counts among other forms of data visualization.
Pro Real-time tagging makes reading logs easier
Colored indicators can be set that highlight events in a log in real-time based on given criteria. Criteria are set via intuitive and powerful search capabilities of LogEntries.
Pro Easy to set up
Logentries can be set up quickly and with relative ease.
Pro Great search
LogEntries has human readable, intuitive and powerful search with support for logical expressions, comparison expressions, regular expressions and ability to search based on field, group based on approximations over time, use functions such as count, sum, average and unique as well as save searches.
Pro Timestamps are displayed in the local time zone
Unlike Loggly, LogEntries displays timestamps in your timezone. You don't even have to configure anything.
Pro Excellent documentation
LogEntries has comprehensive documentation that's easy to read and understand and includes lots of screenshots and examples.
Pro Good technical support
Answer incidents pretty quickly.
Pro Prepared viewlets
Easy to get information fast with integrated dashboards. Also I can change as I want easy by rewriting query
Pro Telemetry timeline
Understanding the console, network, and user events that led up to an error makes it possible to recreate it in development.
Pro Error trends
Reports show what are the important errors to focus on fixing.
Pro Daily summary email
You can see how your site is doing every day with a summary of all the interesting activity and errors that should be checked into.
Pro Inline sourcecode snippets
Error messages and stacktraces are shown with snippets of the raw source at the location. This gives a ton of context to quickly find the error.
Pro Realtime notifications
See when new errors are happening in Slack or Hipchat rooms.
Pro Analytics dashboard
A snapshot of how you are doing, comparing page view volume to error volume.
Pro Wraps console.log for errors
All messages sent into console are included with error messages for additional context and logging
Con Confusing interface
The interface is packed with features and options, many of them I'm not sure what they do at all.
Con Character limit for each log entry
Currently log entries are limited to 8192 characters, if your log entry runs over this amount then it will be truncated where the excess log will be a new entry in the UI. This can easily cause a problem JSON structure with java stacktraces.
Con Limited search capabilites
Compared to Elasticsearch and other competitors, search syntax has few features, apart from regexp and NOT/AND/OR combining. E.g. has no syntax to determine if a field is absent.
The average plan is over $1.5 per GB, which can get very expensive for any sort of reasonable volume.
Con Short retention
The retention is very short (14 - 30 days).
Con There's a limit of 100 logs per server
Should you have a webserver that hosts many sites, you'll hit this undocumented limit. The token-based alternative solution is inconvenient to set up and maintain.
Con Can't track the source of errors in 3rd party libraries
Con Insufficiently secure web client logger
No progress since this was reported in September 2013.
Con Grouping is unsorted and limited
Eg. you can't really check what browsers people use, because the report is limited to 40 unique strings.
Con Blocked by ad blockers by default
https://easylist-downloads.adblockplus.org/easyprivacy.txt includes logentries
Con Signing up requires phone number
Con No CDN for the web client logger
Con TypeErrors (X is not a function) are not tracked
Loggly catches them by default. LogEntries doesn't seem to catch them even if
catchall is set to
true. See the GitHub issue.
Con No deployments using a REST API call
Con Multiple errors from the same user can bloat your metrics
No "distinct" error count. If a loop ends up inflating a single user's error count, all reports are affected. Dashboard skewed by weird outliers.
Recently (as of February 2018) sorting by "users impacted" was introduced to reduce this problem.