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所在平台: Udemy |
课程主页: https://www.udemy.com/course/dynatrace/
课程评论：没有评论
课程名称：学习Dynatrace：从入门到高级 课程概述：本课程旨在通过实践案例教授Dynatrace的可观察性、监控和自动化，帮助学员从基础到高级掌握这一强大的分析与自动化平台。Dynatrace是一种行业领先的统一可观察性和安全分析平台。课程将着重理论基础的建立，同时通过实际操作将新学到的概念应用于实践。 课程更新： - 2024年4月：新增基于微服务的应用监控（从Kubernetes到AWS EKS的部署） - 2024年1月：用户管理 - 2023年12月：Dynatrace平台管理、数字体验和数据库监控（在AWS中监控PostgreSQL的实践案例）、Dynatrace API、竞争情况概览、SaaS与托管部署 - 2023年10月：工作流部分，学习如何使用Dynatrace自动化IT流程 在课程中，学员将接触到多种技术，如AWS LightSail、Outline VPN、GCP AppEngine、GCP Kubernetes环境、GCP云API（如Cloud Build）、Docker、Dynatrace SaaS、Python和Streamlit等。这些技术如何结合构成卓越的技术解决方案，学员将通过多个项目来深入了解。 主要项目： 1. 管理终端用户数字体验：提升网站访客的用户体验。 2. 监控AWS中的VPN服务器：确保云VPN基础设施的稳定运行。 3. 交互式查看日志和指标：在Notebooks中提取基础设施日志，连接外部数据并进行交互式分析。 4. 数据库监控：使用Dynatrace监控AWS中的PostgreSQL。 5. 监控基于GCP的Web应用：利用Dynatrace监控托管在Google AppEngine上的机器学习驱动的应用。 6. 运用工作流自动化IT流程：用Dynatrace工作流节省DevOps的工作时间，自动化IT环境管理。 7. 监控部署到AWS EKS的微服务应用：学习如何使用Dynatrace监控AWS云中的Kubernetes中的多工作负载。 课程结束时，学员将能够： - 使用Dynatrace UI监控云环境 - 使用不同的Dynatrace应用程序（主机、日志、仪表板、Notebooks等） - 将Dynatrace连接到AWS环境以监控VPN服务器 - 将Dynatrace连接到GCP中的Kubernetes并监控基于机器学习的应用 - 在Dynatrace Notebooks中探索和分析日志/指标数据 - 使用DQL查询Grail数据库 - 使用Davis AI预测未来的指标值 - 部署OneAgent监控任何类型的主机 - 通过ActiveGate将Dynatrace连接到AWS EKS，监控微服务应用 课程不静态！我会收集学生的反馈并不断改进。
xxxxx[Course Updates]:04.2024: + Micro-services based App Monitoring with Dynatrace (k8s to AWS EKS deployment)01.2024: + Users Administration12.2023: + Dynatrace Platform Management 11.2023: + Digital Experience; + Data Base Monitoring. Practice Case (monitor PostgreSQL in AWS) +Dynatrace API; +Competition Overview; + SaaS vs Managed deployments10.2023: + Workflows section. Learn to Automate IT processes with DynatracexxxxxLearn Observability, Monitoring & Automations with Dynatrace through Practice Cases!Dynatrace is a 1-stop Analytics & Automation Platform for Industry-leading Unified Observability & SecurityIn this course we'll create a strong theoretical foundation of the Platform's principles and get hands dirty by applying newly learnt concepts in practice straight away!There are many different technologies that we will use throughout this course. Some of them are: AWS LightSail, Outline VPN, GCP AppEngine, GCP Kubernetes Environment, GCP Cloud APIs (Cloud Build etc.), Docker, Dynatrace SaaS, Python, Streamlit etc. We will see how they work together and combine into amazing Tech solutionsOne of the Practice cases is about Application Performance Management.Dive into hands-on projects that will shape your expertise, including:Project #1: Manage end-user Digital Experience Improve UX for website's visitorsProject #2: Monitoring a VPN server in AWS Make sure your cloud VPN infrastructure runs robustlyProject #3: Exploring Logs & Metrics Interactively in Notebooks. Fetch infra logs, connect to external data & analyse insights interactivelyProject #3: Database Monitoring: Dynatrace + PostgreSQL in AWSProject #5: Monitoring a GCP-based Web App with Dynatrace. Use Dynatrace to monitor & observe a GCP-based ML-powered App hosted with Google AppEngineProject #6: Automating IT processes with Workflows. Use Dynatrace Workflows to save time spent on DevOps work. Automate IT landscape managementProject #7: Monitoring a Micro-services based Application deployed to AWS EKS (k8s in AWS Cloud). Backend + 2 Data Bases (PostgreSQL & MongoDB). Learn to track multi-pod workloads in your k8s cluster with DynatraceBy the end of this course you will be able to:Use Dynatrace UI to Monitor Cloud(s) environment(s)Use different Dynatrace Apps: Hosts, Logs, Dashboards, Notebooks, GCP, Settings, OneAgent, Problems, SmartScape TopologyConnect Dynatrace to AWS Environment to Monitor a VPN ServerConnect Dynatrace to Kubernetes in GCP & Monitor ML-based AppExplore & Analyse Logs/Metrics data in Dynatrace NotebooksUse DQL to query Grail DataBaseUse Davis AI (Dynatrace proprietary AI) to predict future metrics valuesDeploy OneAgent to monitor any type of HostConnect Dynatrace to AWS EKS using ActiveGate & monitor micro-services based ApplicationsThe course isn't static! I collect students' feedback and work on improving itDigital assets used:-Image from cookie_studio with free licence from freepik dot com
