Anomaly Detection
- Spot anomalies using AI/ML
- Troubleshoot faster with AI recommendations
- Automatically correlate logs to alerts
"Edge Delta does Al/ML and anomaly detection like no other. I have been a user for long enough to say."
Shahtab Khandakar
Associate Director, Infrastructure & Platform Engineer
"Edge Delta is an excellent product that helped us bring down the observability stack cost."
Sravan Akinapally
Product Technical Lead/Solution Architect
"We just canceled our Datadog contract, saving over $50,000 a year. The era of logging and monitoring Saas charging extreme prices and companies paying is over."
Brendten Eikstaedt
CTO
"There's a lot more possibility with observability today.
And there are powerful tools available now, like Edge Delta, to analyze logs and get insights upstream."
Richard Chin
SRE Architect
"My whole job is to make developers' lives easier. If I have a product that can do that, like Edge Delta does, that is a win for me."
Justin Head
Vice President of DevOps
"A new architecture that has the potential to fundamentally remove limitations, opening up a whole new set of possibilities."
Amit Mathur
SVP of Product Engineering
"We don't need a specific observability team working to configure Edge Delta. It's easy to set up and it just works."
Bruno da Silva Verch
Cloud Engineer Specialist
"Edge Delta's approach to this problem is key to keeping up with your rapidly growing footprint and ensuring full visibility and the ability to correlate across all machine data."
Joan Pepin
CISO
The Challenge
Traditional tools are manual and reactive
Engineering teams need to spot issues before they impact customers. However, traditional monitoring tools have several shortcomings that make this task difficult:
Manual Effort
Engineers dedicate time and effort to instrumenting code and defining alert conditions.
Inability to Detect the Unknown
When building monitors, teams must understand every behavior they'd like to alert on. As a result, they’re only catching known issues.
Alert Fatigue
Noisy alerts and false positives overwhelm teams. In the long term, this leads to missed alerts or delayed responses.
The Solution
A platform that doesn't just alert on issues – it anticipates them.
Edge Delta uses AI to monitor your services, alert you when something is wrong, and guide root-cause analysis. Now, you can see every issue and know right away how to fix it.
Spend zero time building alerts
Never miss a production issue
Troubleshoot with Edge Delta’s OnCall AI Copilot
Gain Control of Your Telemetry Data Today
See why leading engineering teams rely on Edge Delta to manage their observability and security data. You'll be up and running in a matter of minutes.
How it Works
Detect known and unknown issues
Automatically detect anomalies – without defining alerts
Reduce alert fatigue using confidence scoring
View the high-level log patterns associated with the anomalous event.
Start in 30 seconds
Troubleshooting Copilot
Speed up root-cause analysis
Capture all data tied to an alert – Edge Delta shows you only needles, not haystacks
Group repetitive logs into Patterns for easier investigation.
Leverage a troubleshooting assistant – Edge Delta's copilot helps you resolve issues faster.
Start Monitoring Free
Trusted By Teams That Practice Observability at Scale
“This is not just about doing what you used to do in the past, and doing it a little bit better. This is a new way to see this world of how we collect and manage our observability pipelines.”
Ben Kus, CTO, Box
Read Case Study
Get Up and Running in Minutes
Edge Delta's end-to-end Telemetry Pipelines work out of the box. Get set up in minutes and gain full control over your telemetry data today.