use case

Anomaly Detection

  • Spot anomalies using AI/ML
  • Troubleshoot faster with AI recommendations
  • Automatically correlate logs to alerts
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“Edge Delta does AI/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

Ready to take the next step?

Learn more about our use cases and how we fit into your observability stack.
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.

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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
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Frequently Asked Questions

How is Edge Delta different from other observability pipelines?

Edge Delta is different than other observability pipelines providers for a few reasons.

First is our distributed architecture. Edge Delta processes 100% of your log data at the agent level. In other words, there is no central infrastructure bottleneck for data needs to pass through. Stream processing data at the source enables unmatched scalability and performance.Second is our Visual Pipelines capabilities. We provide a single, point-and-click interface to build, test, and monitor telemetry pipelines. By using Visual Pipelines, you can avoid using complex YAML files and achieve developer self-service.

Third is artificial intelligence running at the agent. Edge Delta uses AI to detect known and unknown anomalies. Now, you can trigger alerts faster – without defining specific alert conditions and thresholds.

What third parties does Edge Delta integrate with?

Edge Delta is different than other observability pipelines providers for a few reasons.

First is our distributed architecture. Edge Delta processes 100% of your log data at the agent level. In other words, there is no central infrastructure bottleneck for data needs to pass through. Stream processing data at the source enables unmatched scalability and performance.Second is our Visual Pipelines capabilities. We provide a single, point-and-click interface to build, test, and monitor telemetry pipelines. By using Visual Pipelines, you can avoid using complex YAML files and achieve developer self-service.

Third is artificial intelligence running at the agent. Edge Delta uses AI to detect known and unknown anomalies. Now, you can trigger alerts faster – without defining specific alert conditions and thresholds.

How does Edge Delta process log data upstream?

Edge Delta is different than other observability pipelines providers for a few reasons.

First is our distributed architecture. Edge Delta processes 100% of your log data at the agent level. In other words, there is no central infrastructure bottleneck for data needs to pass through. Stream processing data at the source enables unmatched scalability and performance.Second is our Visual Pipelines capabilities. We provide a single, point-and-click interface to build, test, and monitor telemetry pipelines. By using Visual Pipelines, you can avoid using complex YAML files and achieve developer self-service.

Third is artificial intelligence running at the agent. Edge Delta uses AI to detect known and unknown anomalies. Now, you can trigger alerts faster – without defining specific alert conditions and thresholds.

What’s the performance impact of running Edge Delta’s agents?

Edge Delta is different than other observability pipelines providers for a few reasons.

First is our distributed architecture. Edge Delta processes 100% of your log data at the agent level. In other words, there is no central infrastructure bottleneck for data needs to pass through. Stream processing data at the source enables unmatched scalability and performance.Second is our Visual Pipelines capabilities. We provide a single, point-and-click interface to build, test, and monitor telemetry pipelines. By using Visual Pipelines, you can avoid using complex YAML files and achieve developer self-service.

Third is artificial intelligence running at the agent. Edge Delta uses AI to detect known and unknown anomalies. Now, you can trigger alerts faster – without defining specific alert conditions and thresholds.

Get Up and Running in 5 Minutes

With Edge Delta, observability works out of the box. Get set up in minutes, end ongoing toil, and gain pre-built views that make monitoring easy.
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