Auklet - Django Problem Solving
Auklet & Django, Better Together

Django Solution Identification With Auklet

From Core to DRF Pinpoint Solutions to Issues

Intelligence Activated In Seconds

Add Auklet to Your Installed Apps:

INSTALLED_APPS = (
    'auklet',
    ...,
)

Configure Auklet:

AUKLET_CONFIG = {
    "api_key": "your api key",
    "application": "your application id",
    "organization": "your organization id"
}

Overhead Conscious Issue Identification

Stay focused and let Auklet bubble up the intel relevant to solve an issue affecting your django application.

See the most common contexts causing issues from across your deployment as though every error was happening in your development environment.

Auklet AI automatically groups issues together so you can quickly root cause the most pressing problems while avoiding noise.

Contextualize application errors.

Visualize the Entire Context of Every Problem

Enhanced Stack Traces
Enhanced stack traces make solving production issues as easy as those in your development environment. When unhandled exceptions occur you’ll get a real-time report identifying the full stack trace and the local variables used in each function call.

Want more precision?
Optionally link your GitHub repo to find the exact commit and line of code affected.

Region Identification
Pinpoint where errors are occurring across your fleet and quickly zero in on trends affecting certain regions.

System Metrics
Know the hardware and its current state when the issue occured so you can plug memory leaks and bandwidth drains immediately.

Know Epic Fail from Great Success

Mark your releases so that Auklet can automagically tell you when an update has improved functional performance or brought it crashing down.

Track issue resolutions so that the entire team can know when a problem has been handled or has regressed and needs immediate attention.

Track Issues from Release to Release

Bandwidth Conscious Issue Identification

Stress free data usage means Auklet captures only the data you need to maximize your debugging capabilities.

See the most common contexts causing issues from across your fleet as though every problematic device were on your bench.

Auklet AI automatically groups issues together so you can quickly root cause the most pressing problems while avoiding noise.

Contextualize application errors.

Visualize the Entire Context of Every Problem

Enhanced Stack Traces
Enhanced stack traces make solving production issues as easy as those in your development environment. When unhandled exceptions occur you’ll get a real-time report identifying the full stack trace and the local variables used in each function call.

Want more precision?
Optionally link your GitHub repo to find the exact commit and line of code affected.

Region Identification
Pinpoint where errors are occurring across your fleet and quickly zero in on trends affecting certain regions.

System Metrics
Know the hardware and its current state when the issue occured so you can plug memory leaks and bandwidth drains immediately.

Track Issues from Release to Release

Know Epic Fail from Great Success

Mark your releases so that Auklet can automagically tell you when an update has improved functional performance or brought it crashing down.

Track issue resolutions so that the entire team can know when a problem has been handled or has regressed and needs immediate attention.

Auklet Flocks Cover Your Edge

Same Super Light Footprint,
Same AI powered Issue Identification.

Auklet Flocks
Cover Your Edge

Same Super Light Footprint,
Same AI powered Issue Identification.

Start solving Django performance problems
before your customers report them.

Start solving Django performance problems
before your customers report them.