use case

Monitor Kubernetes

Control the costs and noise that come with monitoring at scale. Analyze and aggregate Kubernetes telemetry data at the source with Edge Delta’s agent fleets. Visualize key Kubernetes metrics and events to gain real-time insights into your environment.
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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

Kubernetes handles scale; your monitoring solution does not

Kubernetes infrastructure is a complex web of dynamic components, constantly changing to align with workload demands. While providing valuable flexibility, this design makes monitoring Kubernetes environments incredibly tricky. Traditional methods elect to send all Kubernetes telemetry data to a centralized observability platform before bulk processing and analysis. This outdated framework results in:

Muddled Visibility

Too much telemetry data obfuscates the issues within your Kubernetes environment. Many Kubernetes components generate logs, leaving you drowning in a sea of data.

High Costs

Collecting and sending every piece of telemetry data to a centralized platform for processing and analysis is a surefire way to explode your observability bill.

Weak Performance

The “centralize-then-analyze” approach introduces significant delays between data creation and insight generation, wasting time when troubleshooting production issues.
The Solution

Edge-based monitoring

Edge Delta’s distributed architecture is built to support the scale and cardinality of your Kubernetes environment data. Powerful technologies like eBPF are leveraged to collect node-level metrics directly from the kernel, processing it along with all other telemetry as it’s generated at the source. This results in lightning fast query times and AI-powered insights regardless of data volume.
View golden signal dashboards for your Kubernetes workloads right out of the box, and build custom dashboards and alerts to monitor the Kubernetes metrics that matter most to you.
Visualize your Kubernetes environment with ease, and drill down into individual namespaces, workloads, pods, and more.
Query Kubernetes event data in sub-seconds with Edge Delta’s highly performant, time-series optimized search infrastructure.

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

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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