Dynatrace observability is now a Kiro power
The Kiro power for Dynatrace integrates live observability data, root cause analysis, and remediation suggestions directly into the Kiro AI-powered IDE. This integration allows dev…
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Observability
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From reactive to proactive: How NAIC embedded AI‑powered observability directly into the IDE
By integrating Dynatrace observability data directly into AWS’s Kiro AI-powered IDE, NAIC has eliminated the productivity loss caused by context switching between development and m…
Evaluate LLM and agent quality in Dynatrace AI Observability with dt-evals
`dt-evals` is an open-source CLI tool designed to evaluate the quality and safety of LLMs and agents by analyzing real GenAI traces using a "LLM-as-a-judge" approach. By integratin…
Beyond correlation to autonomous action: Why “good enough” observability fails in the age of agentic AI
The rise of autonomous AI agents requires a shift from traditional, probabilistic observability—which relies on human-centric correlations—to a deterministic, context-driven archit…
Port and Dynatrace: One-prompt incident triage with the Dynatrace MCP Server
The new Dynatrace MCP Server integration enables Port AI to correlate live production data from Dynatrace with signals from GitHub, Slack, and the Port service catalog. This allows…
Supercharge SAP on AWS: Intelligent Observability for the hybrid enterprise
To address the visibility gaps in increasingly complex hybrid SAP landscapes, New Relic and AWS have partnered to provide an "Intelligent Observability" solution. The platform uses…
Kubernetes Monitoring Tools: Essential Features & How to Choose the Right One
Effective Kubernetes observability requires unified visibility across metrics, logs, and traces to reduce incident response times and manage the dynamic nature of clusters. This gu…
New Relic and Microsoft: Intelligent Observability for the Agentic Era
New Relic is strengthening its partnership with Microsoft by integrating its "Intelligent Observability" platform directly into the Azure ecosystem and marketplace. Through new too…
The Data Integrity Blind Spot in Real-Time AI Systems
This text serves as a comprehensive resource hub focused on the integration of AI, IoT, and Big Data within industrial operations. It outlines various industry use cases, technolog…
OpenTelemetry graduates: A milestone for the observability Open Source community
OpenTelemetry has officially graduated from the Cloud Native Computing Foundation (CNCF), establishing itself as a stable, production-ready standard for observability. This milesto…
You Don’t Own Your Observability Data. And That’s About to Kill Your AI Strategy.
This resource hub explores how Artificial Intelligence, IoT, and real-time analytics drive digital transformation across various sectors, including manufacturing, healthcare, and e…
AI agents are redefining software development—but they’re flying blind without observability
The software development landscape is shifting into a bimodal era where traditional human-led teams coexist with emerging, AI-agent-led operations. Because AI agents lack visibilit…