use case

Unified Logging Architecture

Use a single agent to collect, pre-process, and route log data.

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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

Logging Architectures Are Increasingly Complex

Teams use several tools to stay on top of data growth and meet the needs of different users. As a byproduct, logging architectures have become sprawling and difficult to scale. It’s not uncommon for teams to use a combination of:

Open-Source Agents

Lack performance and offer no fleet management capabilities.

Platform-Specific Agents

Create vendor lock-in issues and hinder flexibility.

Data pipelines

Homegrown versions filter out data in anticipation of what you’ll need.
The Solution

Collect, Pre-Process, and Route Data to Anywhere

Edge Delta supersedes the functionality of existing log collection and routing mechanisms. At the same time, it analyzes your log data upstream and provides visibility to help you build a scalable and sustainable architecture.
Collect data from any source and route to any – or multiple – destinations.
Reliably collect and route petabytes worth of data while supporting real-time analytics.
Manage and roll out agent configurations, and monitor the health of agents – all from our SaaS backend.

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

Data Pipelines

Unlike traditional data pipelines, Edge Delta analyzes all log data at the source. This approach helps you remove blindspots caused by sampling or dropping loglines. Now you can understand service behavior and better control what you index downstream.

Gain Visibility Into All Log Data

Analyze data at the source – before anything is indexed downstream.

Index Any Level of Fidelity

Meet each team’s needs with optimized datasets, full-fidelity logs, or anything in between.

Transform Datasets

Filter, parse, mask, or sample your data as it passes through Edge Delta.

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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