Tag: observability costs
OllyGarden Extends AI Agent to Identify Instrumentation Gaps
Mike Vizard | | AI agents, AI observability, AIOps, Cloud Native Computing Foundation, CNCF, data quality, devops, devops automation, Distributed Tracing, logs, metrics, Minimum Viable Instrumentation, MVI, observability, observability automation, observability costs, OllyGarden, OpenTelemetry, OpenTelemetry Instrumentation, Rose AI, telemetry costs, Telemetry Optimization, Telemetry ReductionOllyGarden expands its Rose AI agent with Minimum Viable Instrumentation to identify observability gaps, optimize OpenTelemetry data and reduce telemetry costs ...
The Observability Tax: When Monitoring Costs Exceed Downtime Costs
Muhammad Yawar Malik | | cloud costs, data retention, devops, Distributed Tracing, FinOps, incident response, infrastructure monitoring, logs, metrics, observability, observability costs, observability strategy, OpenTelemetry, platform engineering, SRE, telemetry, telemetry costs, tracesObservability costs can spiral when teams collect more telemetry than they actually use. A more mature approach prioritizes the data that directly improves incident detection, diagnosis and recovery ...
Observability’s Gaslighting Problem: “Send Less Data” Isn’t a Strategy
Noam Levy | | agentic development, AI agents, AI-assisted development, cardinality, data retention, developer observability, devops, incident response, logs, metrics, observability, observability costs, observability strategy, Runtime Visibility, software reliability, SRE, telemetry, Telemetry Optimization, telemetry sampling, tracesA familiar pattern is emerging in observability conversations. As telemetry volumes grow and costs rise, the default recommendation is often to collect less data: Sample more, retain less, index selectively, filter earlier, ...
