Tag: observability
The Agent Failure Your Approval Gate Can’t Catch
An agent that does the wrong thing leaves evidence — a bad diff, a malformed record, a customer complaint. An agent that does nothing and reports success leaves a green checkmark, and ...
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 ...
Attaching Evidence to Alerts: an Enrichment Sidecar for Alertmanager
Daniil Romashov | | Alertmanager, incident response, log management, observability, Prometheus, SlackEvery on-call engineer knows the ritual. A page lands in Slack: the 5xx rate on a service is above the threshold. The message tells you that something is wrong and nothing about ...
New Relic Debuts Command-Line Observability Tool for Developers and AI Agents
New Relic has unveiled Ground Truth CLI, a command-line tool that enables software developers and AI agents to analyze system performance and verify whether technical issues have been resolved without needing to ...
DevOps Has Always Been Hard to Define. Does a Standard Help?
Alan Shimel | | agentic AI, AI agents, AI Governance, automation, CI/CD, devops, DevOps governance, devops institute, devops maturity, DevOps practices, DevOps standard, DORA, ITIL 5, observability, OWASP agentic AI, PEOPLECERT, platform engineering, software delivery, software engineeringThe new DevOps Standard deserves a serious reading. Its lasting value will depend on whether it helps organizations apply shared principles as people and agents take on different responsibilities ...
Federated Query at Petabyte Scale: A Deployment Pattern for a Governed AI-Agent Data Layer
Pavan Gatadi | | AI agents, AI Governance, CI/CD, data architecture, data governance, data products, devops, distributed SQL, enterprise data, enterprise GenAI, federated query, HIPAA, kubernetes, MCP, observability, regulated data, role-based access control, semantic layer, Starburst, Terraform, TrinoA federated query architecture can reduce data duplication and latency while creating a governed, auditable data layer that enterprise AI agents can safely access ...
How to Move AI SRE Agents From Demo to Production
Andrey Pokhilko | | agentic AI, AI agents, AIOps, incident response, observability, site reliability engineeringAn AI agent that works on an engineer’s laptop can feel like a breakthrough. It can read logs, query observability tools, inspect cloud resources and connect a failed deployment to a bad ...
DevOps Dozen 2026 Nominations Are Open: Recognizing the People and Technology Moving DevOps Forward
Alan Shimel | | agentic AI, AgentOps, AI software development, CI/CD, developer productivity, DevOps 2026, DevOps awards, devops dozen, DevOps Dozen Awards, devsecops, FinOps, internal developer platforms, LLMOps, MLOps, observability, open source, platform engineering, software delivery, Software Supply Chain SecurityWhen we launched the DevOps Dozen in 2015, we wanted to recognize the people, projects and companies helping this community move forward. We saw the work happening across DevOps every day at ...
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 ...
The Three Tiers of Agentic Incident Response: When to Trust AI Autonomy
Neel Shah | | agentic AI, AI agents, AI Governance, AI operations, AIOps, automation guardrails, autonomous remediation, devops, human-in-the-loop, incident management, incident response, mttr, observability, production reliability, Runbooks, site reliability engineering, SREA three-tier model for agentic incident response balances AI automation with human oversight, matching autonomy to risk, reversibility, blast radius and diagnostic confidence ...
DevOps in Financial Services: Moving Fast Without Losing Control
Prachi Tembhekar | | compliance, devops, financial services, observability, platform engineering, resilienceDevOps is often associated with speed: shorter release cycles, greater automation, faster feedback and increased developer autonomy. In financial services, however, speed is only one part of the equation. A platform supporting ...
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, ...
