Mastering Generative AI and LLMs (Third Edition)
... observability for your Large Language Model (LLM) applications, enabling you to proactively monitor performance ... opentelemetry-api==1.22.0 opentelemetry-sdk==1.22.0 opentelemetry-exporter-otlp-proto-http==1.22.0 opentelemetry ...
IBM Z AIOps: Simplifying Mainframe Operations
... OpenTelemetry. OpenTelemetry plays an essential role in implementing observability solutions for IBM Z and z/OS and ... AI-powered ITOps Management perspective, is designed and built on a modern observability architecture that is ...
GCP-PCD Practice Questions for Google Professional Cloud Developer Certification
... OpenTelemetry is designed to provide detailed instrumentation for tracing and diagnosing performance issues by ... observability. AI Recommended Answer The recommended answer is A: Install the OpenTelemetry library for your ...
Arweave Protocol and Applications
... observability pipelines against rapidly evolving technologies in the blockchain ecosystem . Tool Primary Use Case ... AI anomaly detection , distributed tracing , topology mapping Scalable event streaming , complex analytics ...
Cloud Native Java: Architecting AIDriven Full Stack Systems for Scale, Security, and Speed
... observability foundation empowers rapid troubleshooting, capacity planning, and data driven decision making cornerstones of resilient, performant cloud native systems. 8.3. Distributed. Tracing. with. open. Telemetry. and. Jaeger.
Bigeye Data Quality Monitoring in Practice
... AI agents learn from operator feedback or automated validation channels. This closed-loop adaptation supports ... observability, where anomaly detection, incident analysis, and remediation guidance unfold without human intervention ...
OpenTelemetry Cookbook
This book builds a solid foundation for strong, easy-to-spot infrastructure and application settings, one step at a time. This book isn't about offering quick fixes or magic solutions.
AI Observability and Tracing in Production
Teams shipping AI at scale share the same goal: reliable, explainable, cost-efficient systems. The obstacle is visibility. This book shows a practical, end-to-end approach to AI observability and tracing in production.
AI Observability in Action
This book shows engineers, data scientists, and AI operators how to go beyond monitoring infrastructure metrics to observing model cognition, from token usage and grounding to latency, safety, and cost behavior.
OpenTelemetry in Practice
Whether you’re an engineer, architect, SRE, or leader driving cloud-native transformations, this authoritative guide empowers you to achieve resilient, insightful, and future-ready observability practices.
Observability For Legacy Systems
Through this book, you will engage with issues that occur in kernels, networks, CPU, and IO by developing skills to handle traces and logs, as well as Profiles (eBPF) and debugging.
Modern Distributed Tracing in .NET
Software testers and support engineers will also find this book useful. Basic knowledge of the C# programming language and .NET platform is assumed to grasp the examples of manual instrumentation, but it is not necessary.
Cloud-Native Observability with OpenTelemetry
The book also guides you through deploying the collector, as well as telemetry backends necessary to help you understand what to do with the data once it's emitted.
AI Agent Engineering with LangChain and MCP
AI Agent Engineering with LangChain and MCP: Production Patterns Struggling to build reliable AI agents that scale in the real world?
Observability Engineering with Cilium
By the end of this book, you'll have the tools to level up your knowledge base to become a sophisticated cloud-native observability engineer.
Practical Agentic AI
From setting up your first "HelloWorld" agent to orchestrating multi-agent pipelines in Kubernetes, this book transforms fragile prototypes into production-ready systems.
Comprehensive Guide to Jaeger Distributed Tracing
The book meticulously covers the distinctions and relationships between metrics, logs, and traces, and demonstrates how distributed tracing elevates root cause analysis, dependency mapping, and system performance insight.