Customer value: A clear baseline of noisy vs useful metrics before the next renewal conversation.
Elastic Agent and OTel ship metrics into Observability Serverless. Most teams discover 10–30% of series never drive an alert or dashboard — but still hit the bill.
Scrape churn, debug routes, and high-cardinality labels — named and measurable.
What leadership monitors: errors, requests, heartbeats — vs everything else.
Elastic Agent / EDOT into Serverless — same PromQL, no rip-and-replace.
Customer value: Immediate ingest reduction without losing login, playback, or billing signals.
On Serverless, Streams drops noise and downsamples signal; federated data sources keep compliance history and long-term trends without breaking the budget.
Drop /debug/pprof and scrape churn before it’s stored.
Compliance and historical trending via federated data sources — without copying everything into observability.
Elastic Serverless is ~25% the cost of Datadog — long-range signal without breaking the budget.
Customer value: Measured savings from Elastic Agent + Streams on Serverless — not a generic cost slide.
Connect Drop and retention to dollars. Your platform team leaves with numbers from the lab project — same stack you’ll run in production.
Real noise vs signal counts from your stream — not vendor estimates.
“We pay for signal, not scrape churn — Elastic Agent into Serverless, ~25% Datadog TCO.”
Ingest proof today → adoption velocity and agentic ROI on the same stack.