Cloud Observability With Azure Monitor
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Cloud Observability with Azure Monitor
Author: José Ángel Fernández
language: en
Publisher: Packt Publishing Ltd
Release Date: 2024-11-22
Implement real-time monitoring, visualization, analytics, and troubleshooting strategies on Azure to ensure optimal performance and reliability in your cloud environment Key Features Monitor Azure-native, hybrid, and multi-cloud infrastructure effectively Design proactive incident responses and visualization dashboards for configuring, optimizing, and monitoring data Implement strategies for monitoring Azure applications using real-world case studies Purchase of the print or Kindle book includes a free PDF eBook Book Description Cloud observability is complex and costly due to the use of hybrid and multi-cloud infrastructure as well as various Azure tools, hampering IT teams’ ability to monitor and analyze issues. The authors distill their years of experience with Microsoft to share the strategic insights and practical skills needed to optimize performance, ensure reliability, and navigate the dynamic landscape of observability on Azure. You’ll get an in-depth understanding of cloud observability and Azure Monitor basics, before getting to grips with the configuration and optimization of data sources and pipelines for effective monitoring. You’ll learn about advanced data analysis techniques using metrics and the Kusto Query Language (KQL) for your logs, design proactive incident response strategies with automated alerts, and visualize reports via dashboards. Using hands-on examples and best practices, you’ll explore the integration of Azure Monitor with Azure Arc and third-party tools, such as Datadog, Elastic Stack, or Dynatrace. You’ll also implement artificial intelligence for IT Operations (AIOps) and secure monitoring for hybrid and multi-cloud environments, aligned with emerging trends. By the end of this book, you’ll be able to develop robust and cost-optimized observability solutions for monitoring your Azure infrastructure and apps using Azure Monitor. What you will learn Get a holistic overview of cloud observability with Azure Monitor Configure and optimize data sources to monitor Azure solutions Analyze logs and metrics using advanced data analysis techniques with KQL Design proactive incident response strategies with automated alerts Visualize monitoring data through impactful dashboards and reports Extend observability to hybrid and multi-cloud environments with Azure Arc Build and implement monitoring solutions on Azure, aligned with industry standards Who this book is for If you're a seasoned cloud engineer, cloud architect, DevOps engineer, SRE, or an aspiring cloud practitioner eager to elevate your observability skills on Azure and implement monitoring strategies using Azure Monitor, then this book is for you. A basic understanding of Azure cloud services, cloud infrastructure management, and network virtualization will be helpful.
Cloud Observability in Action
Author: Michael Hausenblas
language: en
Publisher: Simon and Schuster
Release Date: 2024-01-23
Don’t fly blind. Observability gives you actionable insights into your cloud native systems—from pinpointing errors, to increasing developer productivity, to tracking compliance. Observability is the difference between an error message and an error explanation with a recipe how to resolve the error! You know exactly which service is affected, who’s responsible for its repair, and even how it can be optimized in the future. Cloud Observability in Action teaches you how to set up an observability system that learns from a cloud application’s signals, logging, and monitoring, all using free and open source tools. In Cloud Observability in Action you will learn how to: Apply observability in cloud native systems Understand observability signals, including their costs and benefits Apply good practices around instrumentation and signal collection Deliver dashboarding, alerting, and SLOs/SLIs at scale Choose the correct signal types for given roles or tasks Pick the right observability tool for any given function Communicate the benefits of observability to management A well-designed observability system provides insight into bugs and performance issues in cloud native applications. They help your development team understand the impact of code changes, measure optimizations, and track user experience. Best of all, observability can even automate your error handling so that machine users apply their own fixes—no more 3AM calls for emergency outages. About the technology Cloud native systems are made up of hundreds of moving parts. When something goes wrong, it’s not enough to know there is a problem—you need to know where it is, what it is, and how to fix it. This book takes you beyond traditional monitoring, explaining observability systems that turn application telemetry into actionable insights. About the book Cloud Observability in Action gives you the background and techniques you need to successfully introduce observability into cloud-based serverless and Kubernetes environments. In it, you’ll learn to use open standards and tools like OpenTelemetry, Prometheus, and Grafana to build your own observability system and end reliance on proprietary software. You’ll discover insights from different telemetry signals, including logs, metrics, traces, and profiles. Plus, the book’s rigorous cost-benefit analysis ensures you’re getting a real return on your observability investment. What's inside Observability in and of cloud native systems Dashboarding, alerting, and SLOs/SLIs at scale Signal types for any role or task State-of-the-art open source observability tools About the reader For application developers, platform owners, DevOps, and SREs. About the author Michael Hausenblas is a Product Owner in the AWS open source observability team. Table of Contents 1 End-to-end observability 2 Signal types 3 Sources 4 Agents and instrumentation 5 Backend destinations 6 Frontend destinations 7 Cloud operations 8 Distributed tracing 9 Developer observability 10 Service level objectives 11 Signal correlation
Observability for Kubernetes Applications
Author: Vikram Venkataraman
language: en
Publisher: BPB Publications
Release Date: 2025-02-27
DESCRIPTION Explore the dynamic intersection of Kubernetes and observability in this comprehensive guide Observability for Kubernetes Application. This book explains the intricacies of monitoring, logging, and tracing within the Kubernetes environment. Uncover practical strategies for mastering the telemetry signals to get a holistic understanding of system behavior. This technical guide provides a comprehensive coverage of Kubernetes observability, progressing from fundamental principles to advanced implementation patterns. It examines the three pillars - metrics, logs, and traces - alongside their collection and correlation methodologies. The book explores tool selection, OpenTelemetry standardization, and instrumentation techniques while diving into KPI implementation and eBPF profiling. Advanced topics cover multi-cloud observability, platform scaling, and AI-driven approaches, providing practical solutions for establishing robust observability in Kubernetes environments. Our aim is to provide you with convenient ways to master the telemetry signals using the right tools and future-proofing strategies. This book equips you to navigate the complexities of modern container orchestration by elevating the monitoring practices, and ensuring the application is available at all times. KEY FEATURES ● Learn why Kubernetes observability is vital for today's app reliability. ● Master metrics, logs, and traces with practical Kubernetes observability. ● Explore diverse tools and AIOps for automated, secure Kubernetes monitoring. WHAT YOU WILL LEARN ● Build a key observability platform to make apps strong and reliable. ● Understand core observability ideas using easy Kubernetes examples. ● Use metrics, logs, and traces to get vital app insights. ● Find and fix Kubernetes errors fast by linking data signals. ● Securely scale your platform using smart cost and security tips. ● Apply AI to monitor Kubernetes and automate issue resolution. WHO THIS BOOK IS FOR Students, software developers, platform administrators, and site reliability engineers will find this book valuable. With a little understanding of Kubernetes concepts, they will be able to better apply the observability strategies and improve the resiliency of the Kubernetes platform. TABLE OF CONTENTS 1. Introduction to Observability 2. Introducing Kubernetes 3. Observability’s Role in Kubernetes 4. Golden Signals of Observability 5. Matching Tools to Tasks 6. OpenTelemetry and Standardization 7. Instrumenting Applications 8. Knowing Your Key Performance Indicators 9. Mastering Metrics 10. Unlocking Power of Logs 11. Tracing the Trail 12. Unveiling the Profile Data 13. Correlating the Signals 14. Alerts and Visualization 15. Implementing Observability in Multi-cloud Environment 16. Scaling and Securing Observability Platform 17. Emerging Trends and Future of Observability