use case

Accelerate OpenTelemetry Adoption with Edge Delta’s OTel as a Service

Edge Delta’s Telemetry Pipelines deliver OTel as a Service, automatically standardizing telemetry data onto the OpenTelemetry (OTel) schema. Unlock vendor-agnostic observability by seamlessly correlating logs, metrics, and traces for real-time visibility into your complex systems.

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"One thing that people are running into a lot is there may have been incidental PII in various systems. The ability to either filter that upfront, limit the scope of what you’re looking at, or shape it so that you don’t get personal data coming into the pipeline is going to be huge."

Alex K

Director of Security, Remitly

"With a tool like this, you are learning from unexpected things that happen and when people finally jump in, the context has already been gathered, so they aren’t running around trying to stitch the picture together."

Kyle Welsh

CIO, Seattle Bank

"DevOps is really hard when you’re doing 75% Ops, and 25% Dev. Automating your way out of log analysis, and some detection and reconciliation processes, is great."

Dallas Thornton

Director, Digital and AI, PACCAR

"Data fuels all of AI. With Edge Delta’s AI release, it’s not just a static set of data — the streaming aspect makes it very fresh and most accurate and relevant to the task at hand."

Mark Relph

Head of Data and AI, Partner GTM, AWS

"I’m very impressed by the sophistication, the innovation that’s happening here, and how valuable this is for the people that are really burdened by doing this work all the time. "

Ece Kamar, PhD

CVP, AI Frontiers Lab Microsoft Research

The Challenge

Disparate Data Formats
Impede Unified Observability

Organizations collect telemetry data from an ever-expanding ecosystem of tools, languages, and environments, resulting in a chaotic mix of data formats. Traditional observability platforms often impose proprietary schemas, creating significant challenges.

Inconsistent Data

Conflicting formats hinder cross-platform analysis, resulting in incomplete insights.

Vendor Lock-In

Proprietary schemas tether organizations to a single vendor, stifling flexibility and choice.

Disconnected Signals

Without a unified schema, it’s nearly impossible to correlate logs, metrics, and traces effectively, making root-cause analysis slow and unreliable.

The result? Observability gaps, operational inefficiencies, and reduced agility in modern, cloud-native environments.

The Solution

Standardize, correlate, and route
telemetry data with Edge Delta’s
OTel as a Service pipelines

Edge Delta simplifies OpenTelemetry adoption by providing OTel as a Service, delivering seamless,
automated standardization of your telemetry data instantly.

Standardize, correlate, and route <br>telemetry data with Edge Delta’s <br>OTel as a Service pipelines

Ingest and Standardize

Edge Delta agents capture logs, metrics, and traces in real time and automatically convert them to the OpenTelemetry schema. No additional configuration or manual transformation required.

Correlate and Enrich

Unify your logs, metrics, and traces into a cohesive data model, enabling deeper context and faster troubleshooting.

Route Anywhere

Break free from vendor lock-in by routing OTel-compliant data to any number of downstream destinations, such as observability platforms, SIEMs, cold storage vendors, or Edge Delta itself.

Why “OTel as a Service”?

Edge Delta eliminates the operational overhead of OpenTelemetry adoption, making it effortless to
integrate and standardize telemetry data across distributed systems.

Accelerate Time-to-Value

Rapidly move to OpenTelemetry without complex configurations or infrastructure changes.

Achieve Observability at Scale

Manage telemetry data from cloud-native and legacy environments with ease.

Future-Proof Your Stack

Gain flexibility to leverage the best tools and platforms for your needs without being tied to a single vendor.

Ready to take the next step?

Learn how Edge Delta's end-to-end Telemetry Pipelines accelerate OpenTelemetry adoption and give you compete control over your data.

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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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