Tag: data quality
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 ...
Production Validation: The Missing Layer in Enterprise ReleasesÂ
Kawaljeet Singh Chadha | | auditability, business validation, business-critical systems, change management, data quality, deployment controls, DevOps governance, enterprise devops, Enterprise software, exception-handling, operational approval, production assurance, production readiness, production validation, reconciliation, regulated environments, release governance, release management, release readiness, software testingProduction validation adds a critical business-control layer between testing and deployment, combining data checks, exception review, approvals, reconciliation and operational readiness before a release reaches production ...
The Observability Bill is Coming Due – and AI Wrote Most of It
Alan Shimel | | agentic telemetry, AI in development, AIOps, APM (Application Performance Management), CI/CD (Continuous Integration/Continuous Deployment), data management, data quality, devops, instrumentation, Logging Standards, observability, Sawmills, Signal-to-Noise Ratio, software engineering, technology innovation, telemetry management, Telemetry OptimizationObservability has always had a data quality problem. AI coding agents just made it catastrophically worse. Shimmy sits down with the co-founders of Sawmills to dig into why unmanaged telemetry is the ...
