Get up to speed with Prometheus, the metrics-based monitoring system used by tens of thousands of organizations in production. This practical guide provides application developers, sysadmins, and DevOps practitioners with a hands-on introduction to the most important aspects of Prometheus, including dashboarding and alerting, direct code instrumentation, and metric collection from third-party systems with exporters. This open source system has gained popularity over the past few years for good reason. With its simple yet powerful data model and query language, Prometheus does one thing, and it does it well. Author and Prometheus developer Brian Brazil guides you through Prometheus setup, the Node exporter, and the Alertmanager, then demonstrates how to use them for application and infrastructure monitoring. Know where and how much to apply instrumentation to your application code Identify metrics with labels using unique key-value pairs Get an introduction to Grafana, a popular tool for building dashboards Learn how to use the Node Exporter to monitor your infrastructure Use service discovery to provide different views of your machines and services Use Prometheus with Kubernetes and examine exporters you can use with containers Convert data from other monitoring systems into the Prometheus format

Get up to speed with Prometheus, the metrics-based monitoring system used in production by tens of thousands of organizations. This updated second edition provides site reliability engineers, Kubernetes administrators, and software developers with a hands-on introduction to the most important aspects of Prometheus, including dashboarding and alerting, direct code instrumentation, and metric collection from third-party systems with exporters. Prometheus server maintainer Julien Pivotto and core developer Brian Brazil demonstrate how you can use Prometheus for application and infrastructure monitoring. This book guides you through Prometheus setup, the Node Exporter, and the Alertmanager, and then shows you how to use these tools for application and infrastructure monitoring. You'll understand why this open source system has continued to gain popularity in recent years. You will: Know where and how much instrumentation to apply to your application code Monitor your infrastructure with Node Exporter and use new collectors for network system pressure metrics Get an introduction to Grafana, a popular tool for building dashboards Use service discovery and the new HTTP SD monitoring system to provide different views of your machines and services Use Prometheus with Kubernetes and examine exporters you can use with containers Discover Prom's new improvements and features, including trigonometry functions Learn how Prometheus supports important security features including TLS and basic authentication

Build Prometheus ecosystems with metric-centric visualization, alerting, and querying Key FeaturesIntegrate Prometheus with Alertmanager and Grafana for building a complete monitoring systemExplore PromQL, Prometheus' functional query language, with easy-to-follow examplesLearn how to deploy Prometheus components using Kubernetes and traditional instancesBook Description Prometheus is an open source monitoring system. It provides a modern time series database, a robust query language, several metric visualization possibilities, and a reliable alerting solution for traditional and cloud-native infrastructure. This book covers the fundamental concepts of monitoring and explores Prometheus architecture, its data model, and how metric aggregation works. Multiple test environments are included to help explore different configuration scenarios, such as the use of various exporters and integrations. You’ll delve into PromQL, supported by several examples, and then apply that knowledge to alerting and recording rules, as well as how to test them. After that, alert routing with Alertmanager and creating visualizations with Grafana is thoroughly covered. In addition, this book covers several service discovery mechanisms and even provides an example of how to create your own. Finally, you’ll learn about Prometheus federation, cross-sharding aggregation, and also long-term storage with the help of Thanos. By the end of this book, you’ll be able to implement and scale Prometheus as a full monitoring system on-premises, in cloud environments, in standalone instances, or using container orchestration with Kubernetes. What you will learnGrasp monitoring fundamentals and implement them using PrometheusDiscover how to extract metrics from common infrastructure servicesFind out how to take full advantage of PromQLDesign a highly available, resilient, and scalable Prometheus stackExplore the power of Kubernetes Prometheus OperatorUnderstand concepts such as federation and cross-shard aggregationUnlock seamless global views and long-term retention in cloud-native apps with ThanosWho this book is for If you’re a software developer, cloud administrator, site reliability engineer, DevOps enthusiast or system admin looking to set up a fail-safe monitoring and alerting system for sustaining infrastructure security and performance, this book is for you. Basic networking and infrastructure monitoring knowledge will help you understand the concepts covered in this book.

Prometheus Deception Robert Ludlum is the acknowledged master of suspense and international intrigue. For over thirty years, in over twenty international bestsellers, he has a set a standard that has never been equaled. Now, with the Prometheus Deception, he proves that he is at the very pinnacle of his craft. Nicholas Bryson spent years as a deep cover operative for the American secret intelligence group, the Directorate. After critical undercover mission went horribly wrong, Bryson was retired to a new identity. Years later, his closely held cover is cracked and Bryson learns that the Directorate was not what it claimed - that he was a pawn in a complex scheme against his own country's interests. Now, it has become increasingly clear that the shadowy Directorate is headed for some dangerous endgame - but no one knows precisely who they are and what they are planning. With Bryson their only possible asset, the director of the CIA recruits Bryson to find, reinfiltrate, and stop the Directorate. But after years on the sidelines, Bryson's field skills are rusty, his contacts unreliable, and his instincts suspect. With everything he thought he knew about his own life in question, Bryson is all alone in a wilderness of mirrors - unsure what is and isn't true and who, if anyone, he can trust - with the future of millions in the balance. Sigma Protocol Ben Hartman is vacationing in Zurich, Switzerland when he chances upon his old friend Jimmy Cavanaugh—a madman who's armed and programmed to assassinate. In a matter of minutes, six innocent bystanders are dead. So is Cavanaugh. But when his body vanishes, and his weapon mysteriously appears in Hartman's luggage, Hartman is plunged into an unfathomable nightmare... Meanwhile, Anna Navarro, field agent for the Department of Justice, has been asked to investigate the sudden, random deaths of eleven men throughout the world. The only thing that connects them? A secret file, over a half-century old, that's linked to the CIA—and is marked with the same puzzling codename: Sigma. As Anna follows the connecting thread—and Hartman finds himself on the run—she ends up in the shadows of a relentless killer who is one step ahead of her...victim by victim. Now, she and Hartman together must uncover the diabolical secrets long held behind Sigma. It will threaten everything they think they know about themselves—and confirm their very worst fears...

A hands-on and introductory guide to the art of modern application and infrastructure monitoring and metrics. We start small and then build on what you learn to scale out to multi-site, multi-tier applications. The book is written for both developers and sysadmins. We focus on building monitored and measurable applications. We also use tools that are designed to handle the challenges of managing Cloud, containerised and distributed applications and infrastructure. In the book we'll deliver: * An introduction to monitoring, metrics and measurement. * A scalable framework for monitoring hosts (including Docker and containers), services and applications built on top of the Riemann event stream processor. * Graphing and metric storage using Graphite and Grafana. * Logging with Logstash. * A framework for high quality and useful notifications * Techniques for developing and building monitorable applications * A capstone that puts all the pieces together to monitor a multi-tier application.

Learn how to implement metrics-centric monitoring with Prometheus. This introductory book teaches you how to use Prometheus to monitor hosts, applications, and services. We cover installation, basic monitoring, service discovery, alerting, log monitoring, scaling, and visualization. Includes introducing you to monitoring basics, methodologies and approaches. Learn how to monitor in a metric-centric world including building dynamic thresholds, basic anomaly detection, monitoring aggregation, and federation. We'll look at how to apply modern patterns like Google's Four Golden Signals, the USE method, and the RED method. We cover monitoring Kubernetes, Docker containers, databases, and we look at instrumenting applications and integrating logging. We focus on the particular challenges of monitoring highly dynamic, transitory environments and new architectures like microservices. We focus on monitoring in the Cloud, including looking at service discovery and monitoring for Cloud platforms.

A comprehensive introduction to help you get up and running with creating interactive dashboards to visualize and monitor time-series data in no time Key Features Install, set up, and configure Grafana for real-time data analysis and visualization Visualize and monitor data using data sources such as InfluxDB, Prometheus, and Elasticsearch Explore Grafana's multi-cloud support with Microsoft Azure, Amazon CloudWatch, and Google Stackdriver Book DescriptionGrafana is an open-source analytical platform used to analyze and monitoring time-series data. This beginner's guide will help you get to grips with Grafana's new features for querying, visualizing, and exploring metrics and logs no matter where they are stored. The book begins by showing you how to install and set up the Grafana server. You'll explore the working mechanism of various components of the Grafana interface along with its security features, and learn how to visualize and monitor data using, InfluxDB, Prometheus, Logstash, and Elasticsearch. This Grafana book covers the advanced features of the Graph panel and shows you how Stat, Table, Bar Gauge, and Text are used. You'll build dynamic dashboards to perform end-to-end analytics and label and organize dashboards into folders to make them easier to find. As you progress, the book delves into the administrative aspects of Grafana by creating alerts, setting permissions for teams, and implementing user authentication. Along with exploring Grafana's multi-cloud monitoring support, you'll also learn about Grafana Loki, which is a backend logger for users running Prometheus and Kubernetes. By the end of this book, you'll have gained all the knowledge you need to start building interactive dashboards.What you will learn Find out how to visualize data using Grafana Understand how to work with the major components of the Graph panel Explore mixed data sources, query inspector, and time interval settings Discover advanced dashboard features such as annotations, templating with variables, dashboard linking, and dashboard sharing techniques Connect user authentication to Google, GitHub, and a variety of external services Find out how Grafana can provide monitoring support for cloud service infrastructures Who this book is forThis book is for business intelligence developers, business analysts, data analysts, and anyone interested in performing time-series data analysis and monitoring using Grafana. Those looking to create and share interactive dashboards or looking to get up to speed with the latest features of Grafana will also find this book useful. Although no prior knowledge of Grafana is required, basic knowledge of data visualization and some experience in Python programming will help you understand the concepts covered in the book.