AI observability
The Telemetry Debt Crisis: Why Cloud-Native Teams are Optimizing the Wrong Metric
Telemetry debt is overwhelming engineering teams with noisy alerts, unused dashboards and rising observability costs. Here’s how to identify, reduce and prevent it ...
David Iyanu Jonathan | | adaptive sampling, AI observability, alert fatigue, dashboard sprawl, eBPF observability, FinOps, incident response, log management, metric cardinality, MTTR, observability as code, observability costs, observability maturity, observability strategy, OpenTelemetry, platform engineering, telemetry governance, telemetry ROI, trace data
Beyond the Model: Why AI Agent Orchestration Requires Cloud-Native Engineering
AI agent orchestration is a distributed systems challenge. Cloud-native engineering provides the resilience, observability, security and scalability needed for production AI ...
Nithiya Dharshini | | agent communication, agentic AI infrastructure, AI agent orchestration, AI governance, AI infrastructure, AI observability, AI scalability, AI security, AI workflow monitoring, AI workload management, automated scaling, cloud native AI, cloud-native engineering, containerized AI services, distributed AI systems, distributed tracing, enterprise AI agents, event-driven architecture, GitOps, Kubernetes for AI, multi-agent systems, platform engineering, production AI systems, resilient AI systems
AI Agents Power Cloud-Native Transformation
AI agents are redefining cloud-native development by embedding intelligence into DevOps workflows — optimizing pipelines, automating debugging, and accelerating release cycles. Experts like Promevo CTO John Pettit explain how these autonomous systems ...
Nathan Eddy | | AI agents, AI code reviewer, AI in DevOps, AI in software engineering, AI observability, AI-powered debugging, autonomous systems, CI/CD optimization, cloud infrastructure management, cloud-native transformation, DevOps automation, intelligent automation, platform engineering, shift left security, software delivery lifecycle (SDLC)
Why Agentic SREs Require Active Telemetry in Kubernetes
Discover how Active Telemetry enables Agentic SREs to move from reactive firefighting to autonomous diagnosis and proactive reliability in Kubernetes ...
Tucker Callaway | | Active Telemetry, Active Telemetry pipeline, Agentic SRE, AI infrastructure, AI observability, AI-driven SRE, autonomous diagnosis, autonomous operations, cloud native operations, context engineering, data context, intelligent observability, KubeCon 2025, Kubernetes reliability, MTTR reduction, operational autonomy, proactive remediation, root cause analysis, site reliability engineering, telemetry architecture

