use case

Implement a Data Tiering Strategy

Tier observability and security data across multiple vendors with ease. Route the highest-value data to premium platforms while shipping a copy of all raw data to more cost-effective search or archival destinations. Control your data, reduce costs, and minimize noise.
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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

Vast quantities of low-value data are draining budgets

Companies are overflowing with telemetry data and struggling to limit ingress. As a result, teams have cobbled together imperfect, homegrown solutions to filter out large swaths of logs, metrics, and APM data, with the goal of extracting valuable insights from more manageable portions of the remaining data. This approach is fundamentally flawed, and creates a number of problems:

Critical Data Loss

It’s difficult to manually filter without risking loss of essential data.

Blurred Context

Filtering telemetry data reduces the quality of data insights and analytics.

Alignment Difficulties

Stakeholders don’t always agree on which methodology to use for filtering.
The Solution

End-to-end control over your telemetry data

Edge Delta processes your log data as it’s created, and our Visual Pipeline interface lets you easily route it to any number of downstream destinations, including other monitoring platforms and cold storage.
Pre-process logs at the source to adhere to platform-specific requirements and extract high-level patterns for analysis of the bigger picture.
Reduce costs by sending only high-value data to premium platforms, and ship a full copy of all raw data into S3 to support audit, compliance, and investigation use cases.
Limit noisy data by sending only the data you need to any given platform to enhance the insight and analysis processes.

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

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.

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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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