دسترسی نامحدود
برای کاربرانی که ثبت نام کرده اند
برای ارتباط با ما می توانید از طریق شماره موبایل زیر از طریق تماس و پیامک با ما در ارتباط باشید
در صورت عدم پاسخ گویی از طریق پیامک با پشتیبان در ارتباط باشید
برای کاربرانی که ثبت نام کرده اند
درصورت عدم همخوانی توضیحات با کتاب
از ساعت 7 صبح تا 10 شب
ویرایش: [1 ed.]
نویسندگان: Julien Pivotto. Brian Brazil
سری:
ISBN (شابک) : 1098131142, 9781098131142
ناشر: O'Reilly Media
سال نشر: 2023
تعداد صفحات: 415
[418]
زبان: English
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود)
حجم فایل: 7 Mb
در صورت تبدیل فایل کتاب Prometheus: Up & Running: Infrastructure and Application Performance Monitoring به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب Prometheus: Up & Running: Infrastructure and Application Performance Monitoring نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
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
Copyright Table of Contents Preface Expanding the Known The Evolution of Prometheus Conventions Used in This Book Using Code Examples O’Reilly Online Learning How to Contact Us Acknowledgments Part I. Introduction Chapter 1. What Is Prometheus? What Is Monitoring? A Brief and Incomplete History of Monitoring Categories of Monitoring Prometheus Architecture Client Libraries Exporters Service Discovery Scraping Storage Dashboards Recording Rules and Alerts Alert Management Long-Term Storage What Prometheus Is Not Chapter 2. Getting Started with Prometheus Running Prometheus Using the Expression Browser Running the Node Exporter Alerting Part II. Application Monitoring Chapter 3. Instrumentation A Simple Program The Counter Counting Exceptions Counting Size The Gauge Using Gauges Callbacks The Summary The Histogram Buckets Unit Testing Instrumentation Approaching Instrumentation What Should I Instrument? How Much Should I Instrument? What Should I Name My Metrics? Chapter 4. Exposition Python WSGI Twisted Multiprocess with Gunicorn Go Java HTTPServer Servlet Pushgateway Bridges Parsers Text Exposition Format Metric Types Labels Escaping Timestamps check metrics OpenMetrics Metric Types Labels Timestamps Chapter 5. Labels What Are Labels? Instrumentation and Target Labels Instrumentation Metric Multiple Labels Child Aggregating Label Patterns Enum Info When to Use Labels Cardinality Chapter 6. Dashboarding with Grafana Installation Data Source Dashboards and Panels Avoiding the Wall of Graphs Time Series Panel Time Controls Stat Panel Table Panel State Timeline Panel Template Variables Part III. Infrastructure Monitoring Chapter 7. Node Exporter CPU Collector Filesystem Collector Diskstats Collector Netdev Collector Meminfo Collector Hwmon Collector Stat Collector Uname Collector OS Collector Loadavg Collector Pressure Collector Textfile Collector Using the Textfile Collector Timestamps Chapter 8. Service Discovery Service Discovery Mechanisms Static File HTTP Consul EC2 Relabeling Choosing What to Scrape Target Labels How to Scrape metric_relabel_configs Label Clashes and honor_labels Chapter 9. Containers and Kubernetes cAdvisor CPU Memory Labels Kubernetes Running in Kubernetes Service Discovery kube-state-metrics Alternative Deployments Chapter 10. Common Exporters Consul MySQLd Grok Exporter Blackbox ICMP TCP HTTP DNS Prometheus Configuration Chapter 11. Working with Other Monitoring Systems Other Monitoring Systems InfluxDB StatsD Chapter 12. Writing Exporters Consul Telemetry Custom Collectors Labels Guidelines Part IV. PromQL Chapter 13. Introduction to PromQL Aggregation Basics Gauge Counter Summary Histogram Selectors Matchers Instant Vector Range Vector Subqueries Offset At Modifier HTTP API query query_range Chapter 14. Aggregation Operators Grouping without by Operators sum count avg group stddev and stdvar min and max topk and bottomk quantile count_values Chapter 15. Binary Operators Working with Scalars Arithmetic Operators Trigonometric Operator Comparison Operators Vector Matching One-to-One Many-to-One and group_left Many-to-Many and Logical Operators Operator Precedence Chapter 16. Functions Changing Type vector scalar Math abs ln, log2, and log10 exp sqrt ceil and floor round clamp, clamp_max, and clamp_min sgn Trigonometric Functions Time and Date time minute, hour, day_of_week, day_of_month, day_of_year, days_in_month, month, and year timestamp Labels label_replace label_join Missing Series, absent, and absent_over_time Sorting with sort and sort_desc Histograms with histogram_quantile Counters rate increase irate resets Changing Gauges changes deriv predict_linear delta idelta holt_winters Aggregation Over Time Chapter 17. Recording Rules Using Recording Rules When to Use Recording Rules Reducing Cardinality Composing Range Vector Functions Rules for APIs How Not to Use Rules Naming of Recording Rules Part V. Alerting Chapter 18. Alerting Alerting Rules for Alert Labels Annotations and Templates What Are Good Alerts? Configuring Alertmanagers in Prometheus External Labels Chapter 19. Alertmanager Notification Pipeline Configuration File Routing Tree Receivers Inhibitions Alertmanager Web Interface Part VI. Deployment Chapter 20. Server-Side Security Security Features Provided by Prometheus Enabling TLS Advanced TLS Options Enabling Basic Authentication Chapter 21. Putting It All Together Planning a Rollout Growing Prometheus Going Global with Federation Long-Term Storage Running Prometheus Hardware Configuration Management Networks and Authentication Planning for Failure Alertmanager Clustering Meta- and Cross-Monitoring Managing Performance Detecting a Problem Finding Expensive Metrics and Targets Reducing Load Horizontal Sharding Managing Change Getting Help Index About the Authors Colophon