use case

Cut Observability Costs

Gain complete control over your telemetry data. Spend less without switching tools. Scale to any size.

Cut Observability Costs
WebscaleMedia KingFamaAGIInterBoxRedfin
The Challenge

Modern observability is broken

Telemetry data volumes are skyrocketing. The “centralize-then-analyze” approach of legacy observability vendors — whose business models revolve around receiving an ever-growing amount of data — is unsustainable in the longterm due, in part, to significant operational challenges, such as:

Affordability

Routing terabytes or petabytes of raw telemetry to an expensive, centralized monitoring or SIEM platform is both a financial liability and a competitive weakness.

Obscured Visibility

Self-imposing data ingestion limits due to budgetary constraints, which forces teams to sample or omit large portions of telemetry data.

Slow Analysis

Incurring bandwidth, egress, ingestion, and indexing costs while sending raw data to observability platforms results in processing lags, which extends the lifetime of outages.

The Solution

Command and control your observability and security data

Slash costs and gain end–to-end control of your logs, metrics, traces, and events with Edge Delta’s next-gen Telemetry Pipelines. Process and analyze your data at the source, and easily route it to any platform on the market, in any format — including OpenTelemetry. Gain flexibility and visibility while reducing costs and complexity.

Tier data and send only the high-value telemetry to premium observability and security platforms. Send low-value data to archival storage for cost efficiency and resource conservation.

Automatically summarize log data into visual patterns, derive metrics, and optimize data before it’s routed to your preferred downstream destinations.

Use intelligent analysis to reduce noise, filter unnecessary log attributes, and free up capacity for data that would have previously been discarded.

Edge Delta

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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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