# The real cost of your observability stack

DevFeed: [The real cost of your observability stack](<https://devfeed.tech/articles/the-real-cost-of-your-observability-stack-12791.md>)

Original publisher: [Read original article](<https://opensearch.org/blog/the-real-cost-of-your-observability-stack/>)

Author: Shenoy Pratik Gurudatt

Published: 2026-08-07T15:00:00Z

Content type: article

Language: en

Sources: [OpenSearch](<https://devfeed.tech/sources/opensearch.md>)

Topics: [observability](<https://devfeed.tech/topics/observability.md>), [telemetry](<https://devfeed.tech/topics/telemetry.md>), [agent observability](<https://devfeed.tech/topics/agent-observability.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>)

Tags: [agent](<https://devfeed.tech/tags/agent.md>), [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [blog](<https://devfeed.tech/tags/blog.md>), [dashboards](<https://devfeed.tech/tags/dashboards.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [latency](<https://devfeed.tech/tags/latency.md>), [logging](<https://devfeed.tech/tags/logging.md>), [logs](<https://devfeed.tech/tags/logs.md>), [metrics](<https://devfeed.tech/tags/metrics.md>), [microservices](<https://devfeed.tech/tags/microservices.md>), [observability](<https://devfeed.tech/tags/observability.md>), [open](<https://devfeed.tech/tags/open.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [platform](<https://devfeed.tech/tags/platform.md>), [platform-engineering](<https://devfeed.tech/tags/platform-engineering.md>), [technical](<https://devfeed.tech/tags/technical.md>), [telemetry](<https://devfeed.tech/tags/telemetry.md>), [traces](<https://devfeed.tech/tags/traces.md>), [vendor-lock-in](<https://devfeed.tech/tags/vendor-lock-in.md>)

## AI overview

The article examines the operational and financial costs of fragmented observability for agentic workloads. It explains that humans and AI agents must move among separate metrics, logging, and tracing tools, which increases investigation time, token usage, latency, integration work, and the risk of losing correlation context. It presents an open-source OpenSearch Observability Stack as an alternative intended to unify logs, traces, and agent telemetry while avoiding per-GB penalties and vendor lock-in.

## Source excerpt

AI agents generate 10x the telemetry, and proprietary per-GB pricing punishes you for it. See how the open-source OpenSearch Observability Stack unifies logs, traces, and agent telemetry without vendor lock-in. The post The real cost of your observability stack appeared first on OpenSearch.