Download or read book Learning OpenTelemetry written by Ted Young and published by "O'Reilly Media, Inc.". This book was released on 2024-03-06 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: OpenTelemetry is a revolution in observability data. Instead of running multiple uncoordinated pipelines, OpenTelemetry provides users with a single integrated stream of data, providing multiple sources of high-quality telemetry data: tracing, metrics, logs, RUM, eBPF, and more. This practical guide shows you how to set up, operate, and troubleshoot the OpenTelemetry observability system. Authors Austin Parker, head of developer relations at Lightstep and OpenTelemetry Community Maintainer, and Ted Young, cofounder of the OpenTelemetry project, cover every OpenTelemetry component, as well as observability best practices for many popular cloud, platform, and data services such as Kubernetes and AWS Lambda. You'll learn how OpenTelemetry enables OSS libraries and services to provide their own native instrumentation—a first in the industry. Ideal for application developers, OSS maintainers, operators and infrastructure teams, and managers and team leaders, this book guides you through: The principles of modern observability All OpenTelemetry components—and how they fit together A practical approach to instrumenting platforms and applications Methods for installing, operating, and troubleshooting an OpenTelemetry-based observability solution Ways to roll out and maintain end-to-end observability across a large organization How to write and maintain consistent, high-quality instrumentation without a lot of work

Download or read book Learning Opentelemetry written by Austin Parker and published by . This book was released on 2024-01-02 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: OpenTelemetry is a revolution in observability data. Instead of running multiple, uncoordinated pipelines, OpenTelemetry provides users with a single integrated stream of data, containing all common forms of observability â tracing, metrics, logs, RUM, eBPF, and more. OpenTelemetry also enables OSS libraries and services to provide their own native instrumentation â a first in the industry. Observability is a big subject. Starting with the question â why should I care about observability?â? this book offers a practical guide to setting up, operating, and troubleshooting a modern observability system. Every OpenTelemetry component is covered, as well as observability best practices for many popular cloud, platform, and data services, such as Kubernetes and AWS Lambda.

Download or read book Cloud Observability in Action written by Michael Hausenblas and published by Simon and Schuster. This book was released on 2024-01-23 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Mastering Prometheus written by William Hegedus and published by Packt Publishing Ltd. This book was released on 2024-04-19 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to effectively implement, manage, and optimize Prometheus for monitoring your systems Key Features Achieve high availability with Prometheus by using Thanos Integrate Prometheus into your broader observability stack with OpenTelemetry Tweak, tune, and debug Prometheus to reliably scale without limits Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionWith an increased focus on observability and reliability, establishing a scalable and reliable monitoring environment is more important than ever. Over the last decade, Prometheus has emerged as the leading open-source, time-series based monitoring software catering to this demand. This book is your guide to scaling, operating, and extending Prometheus from small on-premises workloads to multi-cloud globally distributed workloads and everything in between. Starting with an introduction to Prometheus and its role in observability, the book provides a walkthrough of its deployment. You’ll explore Prometheus’s query language and TSDB data model, followed by dynamic service discovery for monitoring targets and refining alerting through custom templates and formatting. The book then demonstrates horizontal scaling of Prometheus via sharding and federation, while equipping you with debugging techniques and strategies to fine-tune data ingestion. Advancing through the chapters, you’ll manage Prometheus at scale through CI validations and templating with Jsonnet, and integrate Prometheus with other projects such as OpenTelemetry, Thanos, VictoriaMetrics, and Mimir. By the end of this book, you’ll have practical knowledge of Prometheus and its ecosystem, which will help you discern when, why, and how to scale it to meet your ever-growing needs.What you will learn Deploy Prometheus and Node Exporter to public clouds and Kubernetes Gain in-depth knowledge of how Prometheus’s underlying code works Build your own custom service-discovery providers for Prometheus Debug Prometheus performance issues to identify cardinality issues in your environment Use VictoriaMetrics and/or Grafana Mimir for remote storage of Prometheus data Define and implement SLO-based alerting Who this book is for The book is for site reliability engineers (SREs), developers, and platform engineers involved in the monitoring and observability of their team or company’s systems. A background in Prometheus is assumed, so the book dedicates minimal time to the basics of getting Prometheus up and running. Whether you aim to expand monitoring capabilities, streamline configuration management, or enhance integration with existing tools, this book will help you maximize the potential of your Prometheus monitoring stack.

Download or read book Go for DevOps written by John Doak and published by Packt Publishing Ltd. This book was released on 2022-07-08 with total page 635 pages. Available in PDF, EPUB and Kindle. Book excerpt: Achieve reliable release automation and get zero troublesome notifications on your release day. Purchase of the print or Kindle book includes a free eBook in the PDF format. Key Features Develop the skills to build command-line tools to control thousands of nodes Use Go to create Terraform providers and GitHub actions and extend Kubernetes Gain the knowledge to build DevOps workflows that are understandable, scalable, and safe Book DescriptionGo is the go-to language for DevOps libraries and services, and without it, achieving fast and safe automation is a challenge. With the help of Go for DevOps, you'll learn how to deliver services with ease and safety, becoming a better DevOps engineer in the process. Some of the key things this book will teach you are how to write Go software to automate configuration management, update remote machines, author custom automation in GitHub Actions, and interact with Kubernetes. As you advance through the chapters, you'll explore how to automate the cloud using software development kits (SDKs), extend HashiCorp's Terraform and Packer using Go, develop your own DevOps services with gRPC and REST, design system agents, and build robust workflow systems. By the end of this Go for DevOps book, you'll understand how to apply development principles to automate operations and provide operational insights using Go, which will allow you to react quickly to resolve system failures before your customers realize something has gone wrong.What you will learn Understand the basic structure of the Go language to begin your DevOps journey Interact with filesystems to read or stream data Communicate with remote services via REST and gRPC Explore writing tools that can be used in the DevOps environment Develop command-line operational software in Go Work with popular frameworks to deploy production software Create GitHub actions that streamline your CI/CD process Write a ChatOps application with Slack to simplify production visibility Who this book is for This book is for Ops and DevOps engineers who would like to use Go to develop their own DevOps tooling or integrate custom features with DevOps tools such as Kubernetes, GitHub Actions, HashiCorp Packer, and Terraform. Experience with some type of programming language, but not necessarily Go, is necessary to get started with this book.

Download or read book Distributed Tracing in Practice written by Austin Parker and published by O'Reilly Media. This book was released on 2020-04-13 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most applications today are distributed in some fashion. Monitoring the health and performance of these distributed architectures requires a new approach. Enter distributed tracing, a method of profiling and monitoring applications—especially those that use microservice architectures. There’s just one problem: distributed tracing can be hard. But it doesn’t have to be. With this practical guide, you’ll learn what distributed tracing is and how to use it to understand the performance and operation of your software. Key players at Lightstep walk you through instrumenting your code for tracing, collecting the data that your instrumentation produces, and turning it into useful, operational insights. If you want to start implementing distributed tracing, this book tells you what you need to know. You’ll learn: The pieces of a distributed tracing deployment: Instrumentation, data collection, and delivering value Best practices for instrumentation (the methods for generating trace data from your service) How to deal with or avoid overhead, costs, and sampling How to work with spans (the building blocks of request-based distributed traces) and choose span characteristics that lead to valuable traces Where distributed tracing is headed in the future

Download or read book Cloud Native Observability with OpenTelemetry written by Alex Boten and published by Packt Publishing Ltd. This book was released on 2022-05-04 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leverage OpenTelemetry's API, libraries, tools and the collector to produce and collect telemetry along with using open-source tools to analyze distributed traces, check metrics and logs, and gain insights into application health Key Features • Get to grips with OpenTelemetry, an open-source cloud-native software observability standard • Use vendor-neutral tools to instrument applications to produce better telemetry and improve observability • Understand how telemetry data can be correlated and interpreted to understand distributed systems Book Description Cloud-Native Observability with OpenTelemetry is a guide to helping you look for answers to questions about your applications. This book teaches you how to produce telemetry from your applications using an open standard to retain control of data. OpenTelemetry provides the tools necessary for you to gain visibility into the performance of your services. It allows you to instrument your application code through vendor-neutral APIs, libraries and tools. By reading Cloud-Native Observability with OpenTelemetry, you'll learn about the concepts and signals of OpenTelemetry - traces, metrics, and logs. You'll practice producing telemetry for these signals by configuring and instrumenting a distributed cloud-native application using the OpenTelemetry API. 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. You'll look at various examples of how to identify application performance issues through telemetry. By analyzing telemetry, you'll also be able to better understand how an observable application can improve the software development life cycle. By the end of this book, you'll be well-versed with OpenTelemetry, be able to instrument services using the OpenTelemetry API to produce distributed traces, metrics and logs, and more. What you will learn • Understand the core concepts of OpenTelemetry • Explore concepts in distributed tracing, metrics, and logging • Discover the APIs and SDKs necessary to instrument an application using OpenTelemetry • Explore what auto-instrumentation is and how it can help accelerate application instrumentation • Configure and deploy the OpenTelemetry Collector • Get to grips with how different open-source backends can be used to analyze telemetry data • Understand how to correlate telemetry in common scenarios to get to the root cause of a problem Who this book is for This book is for software engineers, library authors, and systems operators looking to better understand their infrastructure, services and applications by leveraging telemetry data like never before. Working knowledge of Python programming is assumed for the example applications that you'll be building and instrumenting using the OpenTelemetry API and SDK. Some familiarity with Go programming, Linux, and Docker is preferable to help you set up additional components in various examples throughout the book.

Download or read book Learning Dapr written by Haishi Bai and published by O'Reilly Media. This book was released on 2020-08-24 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get the authoritative guide to Dapr, the distributed application runtime that works with new and existing programming languages alike. Written by the model’s creators, this introduction shows you how Dapr not only unifies stateless, stateful, and actor programming models but also runs everywhere—in the cloud or on the edge. Authors Haishi Bai and Yaron Schneider, both with Microsoft’s Azure CTO team, explain that, with Dapr, you don’t need to include any SDKs or libraries in your user code. Instead, you automatically get flexible binding, state management, the actor pattern, pub-sub, reliable messaging, and many more features. This book shows developers, architects, CIOs, students, and computing enthusiasts how to get started with Dapr. Learn the new programming model for cloud native applications Write high-performance distributed applications without drilling into technical details Use Dapr with any language or framework to write microservices easily Learn how Dapr provides consistency and portability through open APIs and extensible, community-driven components Explore how Dapr handles state, resource bindings, and pub-sub messaging to enable resilient event-driven architectures that scale Integrate cloud applications with various SaaS offerings, such as machine learning

Download or read book Learning Modern Linux written by Michael Hausenblas and published by "O'Reilly Media, Inc.". This book was released on 2022-04-15 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you use Linux in development or operations and need a structured approach to help you dive deeper, this book is for you. Author Michael Hausenblas also provides tips and tricks for improving your workflow with this open source operating system. Whether you're a developer, software architect, or site reliability engineer, this hands-on guide focuses on ways to use Linux for your everyday needs, from development to office-related tasks. Along the way, you'll gain hands-on experience with modern Linux terminals and shells, and learn how to manage your workloads. You'll understand how to run Linux applications by using containers, systemd, modern filesystems, and immutable distros such as Flatcar and Bottlerocket. Use Linux as a modern work environment, rather than just from an admin perspective Learn critical components such as the Linux kernel, terminal multiplexer, human-friendly shells, and portable shell scripting Become familiar with access control, from file permissions to capabilities, and understand the role of filesystems as a fundamental building block Learn about application dependency management and containers Gain hands-on experience with the Linux networking stack and tooling, including DNS Apply modern operating system observability to manage your workloads Become familiar with interprocess communication, virtual machines, and selected security topics

Download or read book Reliable Machine Learning written by Cathy Chen and published by "O'Reilly Media, Inc.". This book was released on 2021-10-12 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: Whether you're part of a small startup or a multinational corporation, this practical book shows data scientists, software and site reliability engineers, product managers, and business owners how to run and establish ML reliably, effectively, and accountably within your organization. You'll gain insight into everything from how to do model monitoring in production to how to run a well-tuned model development team in a product organization. By applying an SRE mindset to machine learning, authors and engineering professionals Cathy Chen, Kranti Parisa, Niall Richard Murphy, D. Sculley, Todd Underwood, and featured guest authors show you how to run an efficient and reliable ML system. Whether you want to increase revenue, optimize decision making, solve problems, or understand and influence customer behavior, you'll learn how to perform day-to-day ML tasks while keeping the bigger picture in mind. You'll examine: What ML is: how it functions and what it relies on Conceptual frameworks for understanding how ML "loops" work How effective productionization can make your ML systems easily monitorable, deployable, and operable Why ML systems make production troubleshooting more difficult, and how to compensate accordingly How ML, product, and production teams can communicate effectively

Download or read book Elastic Stack 8 x Cookbook written by Huage Chen and published by Packt Publishing Ltd. This book was released on 2024-06-28 with total page 688 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlock the full potential of Elastic Stack for search, analytics, security, and observability and manage substantial data workloads in both on-premise and cloud environments Key Features Explore the diverse capabilities of the Elastic Stack through a comprehensive set of recipes Build search applications, analyze your data, and observe cloud-native applications Harness powerful machine learning and AI features to create data science and search applications Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionLearn how to make the most of the Elastic Stack (ELK Stack) products—including Elasticsearch, Kibana, Elastic Agent, and Logstash—to take data reliably and securely from any source, in any format, and then search, analyze, and visualize it in real-time. This cookbook takes a practical approach to unlocking the full potential of Elastic Stack through detailed recipes step by step. Starting with installing and ingesting data using Elastic Agent and Beats, this book guides you through data transformation and enrichment with various Elastic components and explores the latest advancements in search applications, including semantic search and Generative AI. You'll then visualize and explore your data and create dashboards using Kibana. As you progress, you'll advance your skills with machine learning for data science, get to grips with natural language processing, and discover the power of vector search. The book covers Elastic Observability use cases for log, infrastructure, and synthetics monitoring, along with essential strategies for securing the Elastic Stack. Finally, you'll gain expertise in Elastic Stack operations to effectively monitor and manage your system.What you will learn Discover techniques for collecting data from diverse sources Visualize data and create dashboards using Kibana to extract business insights Explore machine learning, vector search, and AI capabilities of Elastic Stack Handle data transformation and data formatting Build search solutions from the ingested data Leverage data science tools for in-depth data exploration Monitor and manage your system with Elastic Stack Who this book is for This book is for Elastic Stack users, developers, observability practitioners, and data professionals ranging from beginner to expert level. If you’re a developer, you’ll benefit from the easy-to-follow recipes for using APIs and features to build powerful applications, and if you’re an observability practitioner, this book will help you with use cases covering APM, Kubernetes, and cloud monitoring. For data engineers and AI enthusiasts, the book covers dedicated recipes on vector search and machine learning. No prior knowledge of the Elastic Stack is required.

Download or read book Flow Architectures written by James Urquhart and published by "O'Reilly Media, Inc.". This book was released on 2021-01-06 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Software development today is embracing events and streaming data, which optimizes not only how technology interacts but also how businesses integrate with one another to meet customer needs. This phenomenon, called flow, consists of patterns and standards that determine which activity and related data is communicated between parties over the internet. This book explores critical implications of that evolution: What happens when events and data streams help you discover new activity sources to enhance existing businesses or drive new markets? What technologies and architectural patterns can position your company for opportunities enabled by flow? James Urquhart, global field CTO at VMware, guides enterprise architects, software developers, and product managers through the process. Learn the benefits of flow dynamics when businesses, governments, and other institutions integrate via events and data streams Understand the value chain for flow integration through Wardley mapping visualization and promise theory modeling Walk through basic concepts behind today's event-driven systems marketplace Learn how today's integration patterns will influence the real-time events flow in the future Explore why companies should architect and build software today to take advantage of flow in coming years

Download or read book Learning CFEngine 3 written by Diego Zamboni and published by "O'Reilly Media, Inc.". This book was released on 2012-03-21 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get up to speed on CFEngine 3, the open source configuration management software that enables you to automate everything from one-server shops to enterprise computer networks. This hands-on introduction shows you how to use CFEngine 3 to implement and manage and your IT infrastructure in a sustainable, scalable, and efficient manner. Through numerous examples, you’ll learn how to use CFEngine to perform tasks such as user management, software installation, and security. You’ll also learn how to focus on higher-level issues of design, implementation and maintenance, knowing that CFEngine is handling the lower-level details for you automatically. Discover how far you can go with system automation, using CFEngine Become familiar with the software’s principles, components, and policy structure Configure CFEngine step-by-step to perform routine tasks on your system Specify custom machine configuration without making changes by hand Get tricks and patterns that you can use in your own CFEngine policies Maintain separate CFEngine environments for development, testing, production, or other uses

Download or read book Modern Distributed Tracing in NET written by Liudmila Molkova and published by Packt Publishing Ltd. This book was released on 2023-06-30 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Instrument .NET apps using OpenTelemetry and explore logs and .NET diagnostic tools to debug, monitor, and analyze the performance of complex systems in the cloud Purchase of the print or Kindle book includes a free PDF eBook Key Features Get a clear understanding of complex systems using .NET and OpenTelemetry Adopt a systematic approach toward performance analysis and debugging Explore instrumentation techniques for common distributed patterns Book Description As distributed systems become more complex and dynamic, their observability needs to grow to aid the development of holistic solutions for performance or usage analysis and debugging. Distributed tracing brings structure, correlation, causation, and consistency to your telemetry, thus allowing you to answer arbitrary questions about your system and creating a foundation for observability vendors to build visualizations and analytics. Modern Distributed Tracing in .NET is your comprehensive guide to observability that focuses on tracing and performance analysis using a combination of telemetry signals and diagnostic tools. You'll begin by learning how to instrument your apps automatically as well as manually in a vendor-neutral way. Next, you'll explore how to produce useful traces and metrics for typical cloud patterns and get insights into your system and investigate functional, configurational, and performance issues. The book is filled with instrumentation examples that help you grasp how to enrich auto-generated telemetry or produce your own to get the level of detail your system needs, along with controlling your costs with sampling, aggregation, and verbosity. By the end of this book, you'll be ready to adopt and leverage tracing and other observability signals and tools and tailor them to your needs as your system evolves. What you will learn Understand the core concepts of distributed tracing and observability Auto-instrument .NET applications with OpenTelemetry Manually instrument common scenarios with traces and metrics Systematically debug issues and analyze the performance Keep performance overhead and telemetry volume under control Adopt and evolve observability in your organization Who this book is for This book is for software developers, architects, and systems operators running .NET services who want to use modern observability tools and standards and take a holistic approach to performance analysis and end-to-end debugging. 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.

Download or read book Software Telemetry written by Jamie Riedesel and published by Simon and Schuster. This book was released on 2021-08-31 with total page 558 pages. Available in PDF, EPUB and Kindle. Book excerpt: Software Telemetry is a guide to operating the telemetry systems that monitor and maintain your applications. It takes a big picture view of telemetry, teaching you to manage your logging, metrics, and events as a complete end-to-end ecosystem. You'll learn the base architecture that underpins any software telemetry system, allowing you to easily integrate new systems into your existing infrastructure, and how these systems work under the hood. Throughout, you'll follow three very different companies to see how telemetry techniques impact a greenfield startup, a large legacy enterprise, and a non-technical organization without any in-house development. You'll even cover how software telemetry is used by court processes--ensuring that when your first telemetry subpoena arrives, there's no reason to panic!

Download or read book Observability with Grafana written by Rob Chapman and published by Packt Publishing Ltd. This book was released on 2024-01-12 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Implement the LGTM stack for cost-effective, faster, and secure delivery and management of applications to provide effective infrastructure solutions Key Features Use personas to better understand the needs and challenges of observability tools users Get hands-on practice with Grafana and the LGTM stack through real-world examples Implement and integrate LGTM with AWS, Azure, GCP, Kubernetes and tools such as OpenTelemetry, Ansible, Terraform, and Helm Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionTo overcome application monitoring and observability challenges, Grafana Labs offers a modern, highly scalable, cost-effective Loki, Grafana, Tempo, and Mimir (LGTM) stack along with Prometheus for the collection, visualization, and storage of telemetry data. Beginning with an overview of observability concepts, this book teaches you how to instrument code and monitor systems in practice using standard protocols and Grafana libraries. As you progress, you’ll create a free Grafana cloud instance and deploy a demo application to a Kubernetes cluster to delve into the implementation of the LGTM stack. You’ll learn how to connect Grafana Cloud to AWS, GCP, and Azure to collect infrastructure data, build interactive dashboards, make use of service level indicators and objectives to produce great alerts, and leverage the AI & ML capabilities to keep your systems healthy. You’ll also explore real user monitoring with Faro and performance monitoring with Pyroscope and k6. Advanced concepts like architecting a Grafana installation, using automation and infrastructure as code tools for DevOps processes, troubleshooting strategies, and best practices to avoid common pitfalls will also be covered. After reading this book, you’ll be able to use the Grafana stack to deliver amazing operational results for the systems your organization uses.What you will learn Understand fundamentals of observability, logs, metrics, and distributed traces Find out how to instrument an application using Grafana and OpenTelemetry Collect data and monitor cloud, Linux, and Kubernetes platforms Build queries and visualizations using LogQL, PromQL, and TraceQL Manage incidents and alerts using AI-powered incident management Deploy and monitor CI/CD pipelines to automatically validate the desired results Take control of observability costs with powerful in-built features Architect and manage an observability platform using Grafana Who this book is for If you’re an application developer, a DevOps engineer, a SRE, platform engineer, or a cloud engineer concerned with Day 2+ systems operations, then this book is for you. Product owners and technical leaders wanting to gain visibility of their products in a standardized, easy to implement way will also benefit from this book. A basic understanding of computer systems, cloud computing, cloud platforms, DevOps processes, Docker or Podman, Kubernetes, cloud native, and similar concepts will be useful.

Download or read book Observability Engineering written by Charity Majors and published by "O'Reilly Media, Inc.". This book was released on 2022-05-06 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: Observability is critical for building, changing, and understanding the software that powers complex modern systems. Teams that adopt observability are much better equipped to ship code swiftly and confidently, identify outliers and aberrant behaviors, and understand the experience of each and every user. This practical book explains the value of observable systems and shows you how to practice observability-driven development. Authors Charity Majors, Liz Fong-Jones, and George Miranda from Honeycomb explain what constitutes good observability, show you how to improve upon what youâ??re doing today, and provide practical dos and don'ts for migrating from legacy tooling, such as metrics monitoring and log management. Youâ??ll also learn the impact observability has on organizational culture (and vice versa). You'll explore: How the concept of observability applies to managing software systems The value of practicing observability when delivering and managing complex cloud native applications and systems The impact observability has across the entire software development lifecycle How and why different functional teams use observability with service-level objectives (SLOs) How to instrument your code to help future engineers understand the code you wrote today How to produce quality code for context-aware system debugging and maintenance How data-rich analytics can help you debug elusive issues quickly