Over 81% of reliability problems you face have already been seen by someone else
Not just another pretty dashboard
Prequel captures global failure knowledge that is commonly buried in github threads, discord channels, and post mortems. This knowledge is transformed into an extensible library of problem detectors that cover open source bugs, misconfigurations, and software antipatterns.
Precise & specific
Precise & specific
Stop relying on noisy threshold or anomaly-based alerts. Check your application at the lowest levels using deterministic detections.
Community-driven
Community-driven
Stay up-to-date with the latest rules from experts and contribute your own.
Real-time
Real-time
Detect problems at the first sign of trouble by running detections at the edge.
No data fees, ever
No data fees, ever
Enjoy flat predictable pricing. Pay for value not volume.
10 minute install
10 minute install
Get up and running quickly. No complex integrations or code instrumentation required.
You can finally unlock this hidden knowledge.
Prequel automates specialized problem detection expertise that is commonly buried in GitHub threads, Discord channels, post mortems - or someone's head. Learn more about our approach.
Precise & specific
Precise & specific
Stop relying on noisy threshold or anomaly-based alerts. Check your application at the lowest levels using deterministic detections.
Community-driven
Community-driven
Stay up-to-date with the latest rules from experts and contribute your own.
Real-time
Real-time
Detect problems at the first sign of trouble by running detectors where you application lives.
No data fees, ever
Enjoy flat predictable pricing. Pay for value not volume.
No data fees, ever
10 minute install
5 minute install
Get up and running quickly. No complex integrations or code instrumentation required.
Prequel is purpose-built for problem detection
An open community and Prequel's reliability research team convert expert knowledge of software failure into Common Reliability Enumerations (CREs). Prequel's detection engine uses these vetted deterministic rules to turn dozens of weak distributed signals into high-fidelity detections. Each detection tells you what's wrong, the impact, and how to fix it.
Under the hood, the platform combines contextual memory, advanced correlation, and a distribution architecture to make this all possible. Read more about Prequel's features.
Distributed Detection
Declarative Syntax
Sequencing and correlation
Extensible, and Open
Just getting started with problem detection? Try our open source tool preq.
Less dashboards, more detectors
You're probably an observability wizard, but manually piecing together disparate symptoms should be a last resort.
Community-driven detectors
Find and fix known bugs, misconfigurations, and anti-patterns. Run vetted problem detectors from Prequel, industry experts, and the community. Or write your own
Comprehensive rules
Cover your entire stack. Application code, message queues, databases — all of it.
One line install
Say goodbye to complex installs and integrations.
In-Cluster architecture
Run complex CREs against all available signals without data leaving your cluster. Prequel runs rules where your applications live.
Guided workflows
Quickly go from detection to resolution. Purpose-built for both problem detection and management.
Built for Kubernetes
Combine node metrics, container runtime events, Kubernetes objects, logs, pod events — and more. Supports AWS, GCP, Azure, or on-prem.
Just getting started with problem detection? Try our open source tool preq.
Accelerate developer velocity
Focus on shipping features not chasing bugs
Avoid incidents
Find and fix issues before your customers notice
Lower cloud costs
Unreliable code is expensive. Find quick cost savings
Rein in observability costs
Reduce telemetry that's draining your budget
Improve product quality
Proactively reduce soft spots to drive reliability and stability
The platform for teams that are serious about problem detection
Prequel helps high-velocity teams ship and run more reliable software.
Use the world's failure knowledge to accurately pinpoint and resolve open source bugs, misconfigurations, and software antipatterns.
26X
more problem coverage
13Hours
saved per engineer per week
67%
less application flakiness
82%
less manual troubleshooting
Our priority is driving quality, while quickly getting new features into the hands of our customers. There is a lot to keep up with. It finally feels like someone is watching my back.
Facundo Osimi
Head of Infrastructure, Leading Cyber Security Company
Prequel independently flagged issues that were the underlying cause of complex bug reports. We're able to catch issues earlier and save time on investigations.
Andy Martin
Director of Cloud Infrastructure, Scientific Software Company (NASDAQ)