Packt Mastering Prometheus Pdf (3 results)

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Excel in site reliability engineering by learning from field-driven lessons on observability and reliability in code, architecture, process, systems management, costs, and people to minimize downtime and enhance developers' outputPurchase of the print or Kindle book includes a free Elektronisches Buch in the PDF formatKey Features:Understand the goals of an SRE in terms of reliability, efficiency, and constant improvementMaster highly resilient architecture in server, serverless, and containerized workloadsLearn the why and when of employing Kubernetes, GitHub, Prometheus, Grafana, Terraform, Python, Argo CD, and GitOpsBook Description:Site reliability engineering is all about continuous improvement, finding the balance between business and product demands while working within technological limitations to drive higher revenue. But quantifying and understanding reliability, handling resources, and meeting developer requirements can sometimes be overwhelming. With a focus on reliability from an infrastructure and coding perspective, Becoming a Rockstar SRE brings forth the site reliability engineer (SRE) persona using real-world examples.This book will acquaint you the role of an SRE, followed by the why and how of site reliability engineering. It walks you through the jobs of an SRE, from the automation of CI/CD pipelines and reducing toil to reliability best practices. You'll learn what creates bad code and how to circumvent it with reliable design and patterns. The book also guides you through interacting and negotiating with businesses and vendors on various technical matters and exploring observability, outages, and why and how to craft an excellent runbook. Finally, you'll learn how to elevate your site reliability engineering career, including certifications and interview tips and questions.By the end of this book, you'll be able to identify and measure reliability, reduce downtime, troubleshoot outages, and enhance productivity to become a true rockstar SRE!What You Will Learn:Get insights into the SRE role and its evolution, starting from Google's original visionUnderstand the key terms, such as golden signals, SLO, SLI, MTBF, MTTR, and MTTDOvercome the challenges in adopting site reliability engineeringEmploy reliable architecture and deployments with serverless, containerization, and release strategiesIdentify monitoring targets and determine observability strategyReduce toil and leverage root cause analysis to enhance efficiency and reliabilityRealize how business decisions can impact quality and reliabilityWho this book is for:This book is for IT professionals, including developers looking to advance into an SRE role, system administrators mastering technologies, and executives experiencing repeated downtime in their organizations. Anyone interested in bringing reliability and automation to their organization to drive down customer impact and revenue loss while increasing development throughput will find this book useful. A basic understanding of API and web architecture and some experience with cloud computing and services will assist with understanding the concepts covered.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Learn how to effectively implement, manage, and optimize Prometheus for monitoring your systemsKey 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 Elektronisches BuchBook 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 alertingWho this book is forThe 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.Table of Contents Observability, Monitoring, and Prometheus Deploying Prometheus The Prometheus Data Model and PromQL Using Service Discovery Effective Alerting with Prometheus Advancing Prometheus: Sharding, Federation, and HA Optimizing and Debugging Prometheus Enabling Systems Monitoring with the Node Exporter Utilizing Remote Storage Systems with Prometheus Extending Prometheus Globally with Thanos Jsonnet and Monitoring Mixins Utilizing Continuous Integration (CI) Pipelines with Prometheus Defining and Alerting on SLOs Integrating OpenTelemetry with Prometheus Beyond Prometheus.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Go beyond the basics of Kubernetes and explore more advanced concepts, including Kubernetes in production, governance, serverless computing, and service meshes.Purchase of the print or Kindle book includes a free Elektronisches Buch in PDF format.Key FeaturesMaster Kubernetes architecture and design to build, deploy, and secure large-scale distributed systemsLearn advanced concepts like autoscaling, multi-cluster management, serverless computing, service meshes and policy enginesExplore Kubernetes 1.25 and its rich ecosystem of tools like Kubectl, Krew, K9s, Lens, and HelmBook DescriptionThe fourth edition of the bestseller Mastering Kubernetes includes the most recent tools and code to enable you to learn the latest features of Kubernetes 1.25. This book contains a thorough exploration of complex concepts and best practices to help you master the skills of designing and deploying large-scale distributed systems on Kubernetes clusters.You'll learn how to run complex stateless and stateful microservices on Kubernetes, including advanced features such as horizontal pod autoscaling, rolling updates, resource quotas, and persistent storage backends. In addition, you'll understand how to utilize serverless computing and service meshes.Further, two new chapters have been added. 'Governing Kubernetes' covers the problem of policy management, how admission control addresses it, and how policy engines provide a powerful governance solution. 'Running Kubernetes in Production' shows you what it takes to run Kubernetes at scale across multiple cloud providers, multiple geographical regions, and multiple clusters, and it also explains how to handle topics such as upgrades, capacity planning, dealing with cloud provider limits/quotas, and cost management.By the end of this Kubernetes book, you'll have a strong understanding of, and hands-on experience with, a wide range of Kubernetes capabilities.What you will learnLearn how to govern Kubernetes using policy enginesLearn what it takes to run Kubernetes in production and at scaleBuild and run stateful applications and complex microservicesMaster Kubernetes networking with services, Ingress objects, load balancers, and service meshesAchieve high availability for your Kubernetes clustersImprove Kubernetes observability with tools such as Prometheus, Grafana, and JaegerExtend Kubernetes with the Kubernetes API, plugins, and webhooksWho this book is forIf you're a system administrator or cloud developer who wants to become comfortable with Kubernetes and would like to master its advanced features, then this book is for you. Software and DevOps engineers with a working knowledge of Kubernetes, as well as technical managers of Kubernetes-based systems, will also find this book useful. Those deciding on whether to migrate to Kubernetes and are curious about its inner workings will find plenty of answers here as well. Basic familiarity with networking concepts will prove beneficial.Table of ContentsUnderstanding Kubernetes ArchitectureCreating Kubernetes ClustersHigh Availability and ReliabilitySecuring KubernetesUsing Kubernetes Resources in PracticeManaging StorageRunning Stateful Applications with KubernetesDeploying and Updating ApplicationsPackaging ApplicationsExploring Kubernetes NetworkingRunning Kubernetes on Multiple ClustersServerless Computing on KubernetesMonitoring Kubernetes ClustersUtilizing Service MeshesExtending KubernetesGoverning KubernetesRunning Kubernetes in ProductionThe Future of Kubernetes.