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Dynatrace Masterclass - The Complete Guide for Beginners

4.6 Filled star Filled star Filled star Filled star Half star
Based on 6,982 ratings
see reviews
Georgi I.

Start using Dynatrace starting from today.

The Dynatrace Software Intelligence Platform uses AI called Davis to discover, map and monitor microservices, applications, platforms such as Kubernetes and other IT infrastructure. Dynatrace is a leader in the Gartner Magic Quadrant for APM and Observability. Learn why Dynatrace is leader in Application Performance Monitoring and Observability ahead of Datadog and New relic.

This is a step by step course for absolute beginners. I will show you how to install and deploy Dynatrace to your environment showing you every single click that you need to do.

Read more

Start using Dynatrace starting from today.

The Dynatrace Software Intelligence Platform uses AI called Davis to discover, map and monitor microservices, applications, platforms such as Kubernetes and other IT infrastructure. Dynatrace is a leader in the Gartner Magic Quadrant for APM and Observability. Learn why Dynatrace is leader in Application Performance Monitoring and Observability ahead of Datadog and New relic.

This is a step by step course for absolute beginners. I will show you how to install and deploy Dynatrace to your environment showing you every single click that you need to do.

No technical background needed since we will cover the basics without any coding.

What will you learn in this course:

  • How to setup an account with Dynatrace

  • Get familiar with the Dynatrace interface

  • How to deploy the Dynatrace OneAgent to your environment

  • How to monitor metrics like a professional

  • The Infrastructure features of Dynatrace

  • The Observe and explore features

  • The Applications and Microservices features

  • Application Security

  • The Dynatrace Hub

  • Management of the Dynatrace account

  • Other useful free resources from Dynatrace

  • DQL (Dynatrace Query Language)

  • Notebooks

  • Dashboards

  • and much much more

This course is for absolute beginners, if you have used Dynatrace before you may find the course too basic. However if Dynatrace is new to you, this will be a great starting point. I will provide a lot of tips and tricks for you on how to further progress your Dynatrace knowledge after getting the basics down.

If the above is what you are looking for, enrol today and I will see you in the first lesson.

Enroll now

What's inside

Learning objectives

  • How to setup dynatrace on their environment
  • How to use dynatrace for real world use cases
  • Dynatrace monitoring functionality
  • Tips and tricks on using dynatrace
  • Learn how to use most of dynatrace functionalities
  • Dql (dynatrace query language)

Syllabus

Introduction
The Basics
Create an account with Dynatrace
Logging to Dynatrace
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Provides a step-by-step guide to installing and deploying Dynatrace, making it accessible for individuals with limited technical backgrounds
Covers both the latest interface and classic view, which ensures learners can navigate Dynatrace regardless of the version they encounter
Explores DQL (Dynatrace Query Language), which allows learners to create custom queries and dashboards for in-depth data analysis and visualization
Includes application security, which is a critical aspect of modern IT infrastructure and helps learners understand how to protect their systems
Focuses on Dynatrace OneAgent deployment, which is a core component of Dynatrace and essential for collecting data from monitored systems
Teaches the creation of service-level objectives, which are essential for measuring and managing the performance of critical services and applications

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Reviews summary

Comprehensive dynatrace introduction for beginners

According to learners, this course is a highly effective starting point for those completely new to Dynatrace. Students frequently praise the step-by-step approach and clear explanations provided by the instructor, making complex topics accessible. The course covers the latest Dynatrace interface and includes useful, practical demos that help solidify understanding and provide hands-on experience. While it provides a strong foundational knowledge and touches upon various features like OneAgent deployment, Infrastructure monitoring, Applications and Microservices, DQL, and dashboards, learners should note that, as intended for beginners, it may not delve deeply into advanced configurations or complex use cases.
Geared specifically towards novices.
"As stated in the course description, if you have prior experience, this might be too basic."
"Good for absolute beginners, but those with some experience might find it lacks depth on specific topics."
"The course delivers exactly what it promises - a beginner's guide, so don't expect advanced details."
"I already knew some basics, so parts of the course felt a bit slow for me."
Provides a solid base for further study.
"This course provides a solid foundation for understanding Dynatrace's core features."
"It gives a good overview of the main functionalities."
"I feel I have a good understanding of the basics to start using Dynatrace at work."
"Helped me build the essential knowledge needed to navigate the platform."
Content is up-to-date with current UI.
"Glad the course covered the latest Dynatrace interface view, which is what I needed."
"It is updated for the latest version of Dynatrace."
"The comparisons between the classic and latest views were very helpful."
"Seeing the most current interface makes applying what I learned directly applicable."
Hands-on labs are very helpful.
"The demonstrations were particularly helpful in seeing how things work in practice."
"Useful and practical course with good demos."
"I learned a lot by following along with the practical examples shown in the lectures."
"The hands-on parts made understanding OneAgent deployment much easier."
Explanations are easy to understand.
"The explanations are very clear and easy to follow, even for someone without a technical background."
"The course is very step by step and easy to follow, great introduction to Dynatrace."
"Instructor explains complex things in a simple way."
"I really appreciate the step-by-step guidance on setting up and using the platform."
Perfect for those new to Dynatrace.
"This course is perfect for beginners. It starts from the basics and explains everything clearly."
"An excellent course for beginners and a great introduction to the Dynatrace platform."
"I knew absolutely nothing about Dynatrace before starting, and now I feel confident in the basics."
"As a complete beginner, I found the pace and explanations very helpful and easy to follow."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Dynatrace Masterclass - The Complete Guide for Beginners with these activities:
Review Basic Networking Concepts
Reinforce your understanding of networking fundamentals. Dynatrace monitors network performance, so a solid grasp of networking concepts will enhance your ability to interpret Dynatrace's data.
Browse courses on TCP/IP
Show steps
  • Review the OSI model and TCP/IP stack.
  • Practice subnetting calculations.
  • Research common network protocols.
Brush Up on Cloud Computing Fundamentals
Strengthen your knowledge of cloud computing principles. Dynatrace excels at monitoring cloud environments, so understanding cloud concepts is crucial for effective use.
Browse courses on Cloud Computing
Show steps
  • Review different cloud service models (IaaS, PaaS, SaaS).
  • Research common cloud providers and their services.
  • Learn about containerization and orchestration.
Follow Dynatrace's Official Tutorials
Learn directly from Dynatrace's resources. This will help you become familiar with the platform's features and best practices.
Show steps
  • Explore the Dynatrace online documentation.
  • Complete the Dynatrace learning path for beginners.
  • Practice deploying OneAgent in a test environment.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Set Up Dynatrace Monitoring in a Personal Environment
Gain hands-on experience by deploying Dynatrace in your own environment. This will solidify your understanding of the installation and configuration process.
Show steps
  • Create a Dynatrace trial account.
  • Deploy OneAgent on a virtual machine or cloud instance.
  • Configure Dynatrace to monitor a sample application.
  • Explore the Dynatrace dashboards and reports.
Document Your Dynatrace Setup Process
Reinforce your learning by documenting the steps you took to set up Dynatrace. This will help you remember the process and troubleshoot issues in the future.
Show steps
  • Record each step of the Dynatrace installation and configuration.
  • Include screenshots and explanations of each setting.
  • Share your documentation with other students for feedback.
Practice Writing DQL Queries
Master Dynatrace Query Language (DQL) to extract valuable insights from your monitoring data. This will enable you to create custom dashboards and reports.
Show steps
  • Review the DQL syntax and functions.
  • Practice writing queries to retrieve specific metrics.
  • Experiment with different DQL operators and functions.
Build a Custom Dynatrace Dashboard
Apply your Dynatrace knowledge by creating a custom dashboard tailored to a specific use case. This will demonstrate your ability to visualize and analyze monitoring data.
Show steps
  • Identify a specific monitoring use case.
  • Select the relevant metrics and charts for your dashboard.
  • Configure the dashboard layout and filters.
  • Share your dashboard with other students for feedback.
Contribute to Dynatrace Open Source Projects
Deepen your understanding of Dynatrace by contributing to open-source projects related to the platform. This will expose you to advanced concepts and real-world challenges.
Show steps
  • Identify a Dynatrace open-source project that interests you.
  • Review the project's documentation and contribution guidelines.
  • Contribute code, documentation, or bug fixes to the project.

Career center

Learners who complete Dynatrace Masterclass - The Complete Guide for Beginners will develop knowledge and skills that may be useful to these careers:
Monitoring Specialist
Monitoring Specialists are responsible for setting up and maintaining monitoring systems to ensure the health and performance of IT infrastructure. This course helps monitoring specialists as it provides a comprehensive introduction to Dynatrace which will increase monitoring effectiveness. You will gain hands-on experience in setting up Dynatrace, deploying OneAgent, and configuring dashboards. This helps improve your ability to proactively identify and address issues, ensuring optimal system performance and availability. The practical tips and tricks in the course are useful for enhancing monitoring strategies.
See salaries and explore the career path for Monitoring Specialist
Application Performance Engineer
As an Application Performance Engineer, you are responsible for ensuring applications meet performance expectations, which is critical for user satisfaction and business outcomes. This course helps you to understand the Dynatrace platform, a leader in application performance monitoring and observability, according to Gartner, where you will explore application and microservices features. By deploying Dynatrace skillfully, this course helps you learn to monitor and optimize application performance, a vital skill for an Application Performance Engineer. The hands-on experience with Dynatrace will enable you to proactively identify and resolve performance bottlenecks, directly contributing to improved application stability and speed.
See salaries and explore the career path for Application Performance Engineer
Performance Engineer
Performance Engineers focus on optimizing the performance of software applications and systems. This course helps performance engineers because it teaches the core features of Dynatrace. You will learn how to use Dynatrace to monitor application performance, identify bottlenecks, and optimize code. This skillset may improve your ability to ensure applications meet performance requirements, reduce latency, and improve user experience. The focus on practical skills and real-world examples is useful for tackling performance challenges.
See salaries and explore the career path for Performance Engineer
Site Reliability Engineer
Site Reliability Engineers ensure the reliability and performance of systems. This course helps you understand the capabilities of Dynatrace, a platform heavily used for monitoring and maintaining system health. By learning how to deploy Dynatrace OneAgent and monitor various metrics, you will be better equipped to identify and resolve issues before they impact users. The course’s introduction to Dynatrace Query Language (DQL) further enhances your ability to analyze data and troubleshoot complex problems, which is vital for maintaining high system reliability.
See salaries and explore the career path for Site Reliability Engineer
Application Support Analyst
Application Support Analysts provide support for software applications, resolving technical issues and ensuring smooth operation. This course helps application support analysts by teaching the basics of Dynatrace, a tool used for monitoring application performance and identifying issues. You will learn how to deploy Dynatrace OneAgent, monitor metrics, and analyze performance data. This helps improve your ability to diagnose and resolve application-related problems, reducing downtime and improving user experience. The focus on practical skills is useful for addressing real-world application support challenges.
See salaries and explore the career path for Application Support Analyst
System Administrator
System Administrators oversee and maintain computer systems, ensuring their stability and performance. This course helps system administrators by introducing Dynatrace to monitor infrastructure, applications, and networks. You will learn how to deploy Dynatrace, monitor host performance data, and troubleshoot problems. This improves your ability to proactively manage system resources, identify bottlenecks, and resolve issues quickly. A system administrator can use these skills to maintain a stable and efficient IT environment.
See salaries and explore the career path for System Administrator
Technical Support Engineer
Technical Support Engineers provide advanced technical support and troubleshooting to customers. This course helps technical support engineers because it introduces Dynatrace as a tool for diagnosing and resolving complex technical issues. You will learn how to use Dynatrace to monitor system performance, analyze logs, and identify root causes of problems. This may improve the ability to provide effective solutions to customers, reducing resolution times and improving customer satisfaction. The practical insights and real-world examples are applicable to technical support scenarios.
See salaries and explore the career path for Technical Support Engineer
IT Support Specialist
An IT Support Specialist provides technical assistance and troubleshooting for computer systems and software. This course helps IT support specialists understand how to use Dynatrace to monitor systems and resolve issues. You will learn how to deploy Dynatrace OneAgent, monitor metrics, and identify problems. This will improve your ability to quickly diagnose and address technical issues, improving end-user satisfaction and reducing downtime. The practical insights and tips provided in the course are useful for handling real-world support scenarios.
See salaries and explore the career path for IT Support Specialist
Network Engineer
Network Engineers design, implement, and manage computer networks. This course helps network engineers because it covers network monitoring within Dynatrace. By understanding how to use Dynatrace for network analysis, you can improve your ability to identify and resolve network issues. The course also covers how to monitor network traffic and diagnose connectivity problems. This skillset is useful for maintaining a stable and efficient network infrastructure.
See salaries and explore the career path for Network Engineer
Database Administrator
Database Administrators manage and maintain databases, ensuring their performance and security. This course helps database administrators because it includes database monitoring within Dynatrace. You will learn how to monitor database performance, identify slow queries, and troubleshoot database issues. This improves your ability to maintain optimal database performance, ensuring data is accessible and reliable. The practical insights and tips provided in the course are useful for addressing real-world database challenges.
See salaries and explore the career path for Database Administrator
Cloud Architect
Cloud Architects design and implement cloud computing strategies for organizations. This course may be useful as it introduces cloud automation within Dynatrace. You will learn how Dynatrace monitors the cloud, handle releases, and implement service level objectives. The knowledge gained helps you make informed decisions about cloud infrastructure and optimize cloud environments for performance and cost-efficiency. A Cloud Architect might also find the course valuable for improving their understanding of observability in cloud environments.
See salaries and explore the career path for Cloud Architect
DevOps Engineer
DevOps Engineers streamline software development and deployment processes, focusing on automation and efficiency. This course may be useful as it helps you grasp the essentials of using Dynatrace, a critical tool for monitoring and managing application performance across the DevOps lifecycle. You will gain hands-on experience in setting up Dynatrace, deploying agents, and monitoring metrics. This helps to enhance your ability to identify and resolve issues quickly, which is crucial for maintaining continuous integration and continuous delivery pipelines. The course's focus on practical application and tips helps you become more effective in a DevOps environment.
See salaries and explore the career path for DevOps Engineer
IT Manager
As an IT Manager, you're tasked with overseeing IT operations and ensuring the systems align with business goals. This course may be useful as it provides a comprehensive introduction to Dynatrace, a key tool for monitoring and optimizing IT infrastructure. IT Managers benefit from understanding how Dynatrace can enhance system performance and reliability. The course helps you to assess Dynatrace's capabilities, manage IT resources more effectively, and make informed decisions about technology investments. A better grasp of Dynatrace may also help in strategic planning and team coordination.
See salaries and explore the career path for IT Manager
Cloud Engineer
A Cloud Engineer manages and maintains cloud infrastructure. This course may be useful because it introduces cloud automation within Dynatrace. You will learn how Dynatrace monitors the cloud, handle releases, and implement service level objectives. Cloud engineers should learn how to use automation tools for efficiency. The course may also improve your general monitoring skills, making you a more well-rounded cloud engineer.
See salaries and explore the career path for Cloud Engineer
Security Analyst
Security Analysts protect computer systems and networks from cyber threats. This course may be useful for security analysts because it introduces the security features of Dynatrace. You will learn how to use Dynatrace to identify third-party vulnerabilities, code-level vulnerabilities, and potential attacks. This helps security analysts better understand how to use Dynatrace to improve an organization's security posture.
See salaries and explore the career path for Security Analyst

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Dynatrace Masterclass - The Complete Guide for Beginners.
Cover image
Beautiful Evidence
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Seminal work on the subject of data visualization, and it is still one of the most influential books in the field. Tufte provides a comprehensive overview of the principles of data visualization, and he covers a wide range of topics, from data types to visual perception. Tufte's work is deeply rooted in using data visualization to present only truth and avoid misrepresenting data. This book is very thorough and can be challenging for those who are new to dashboards.
Beautiful Evidence
Hardcover
$$
Cover image
Observability Engineering
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Is considered a foundational text in the field of observability. It provides a comprehensive overview of what observability is, how it differs from traditional monitoring, and its importance in modern software systems. It's highly valuable for gaining a broad understanding and must-read for anyone serious about the topic. The book also discusses the cultural shifts required for adopting observability practices within an organization.
Observability Engineering: Achieving Production...
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Observability Engineering
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The Rule of Life
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This guide focuses specifically on JupyterLab, the next-generation interface for Project Jupyter. It covers the features and functionalities of JupyterLab, which is the primary environment for creating and using computational notebooks. It's highly relevant for anyone wanting to master the notebook interface.
The Rule of Life (Retreat Guide)
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Mastering Terraform
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Offers a hands-on approach to using Terraform across multiple major cloud providers (AWS, Azure, GCP). It's valuable for understanding how to apply IaC principles in a multi-cloud context, which is increasingly common in modern cloud automation. It provides practical examples and best practices.
Mastering Terraform: A practical guide to building...
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Mastering Terraform: A practical guide to building...
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Hands-On Data Analysis with Pandas
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Offers a deep dive into the pandas library, which is the cornerstone of data manipulation in Python and heavily used in notebooks for data analysis. It provides practical examples and techniques for effectively working with data using pandas. It's an excellent resource for mastering data wrangling in notebooks.
Hands-On Data Analysis with Pandas - Second Edition...
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Hands-On Data Analysis with Pandas: Efficiently...
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Deep Learning with Python, Second Edition
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Written by the creator of Keras, this book offers a practical introduction to deep learning using Python and Keras. Its code examples are often presented and executed in a notebook format, making it directly relevant for users exploring deep learning within notebooks. It's a valuable resource for understanding and implementing deep learning models.
Deep Learning with Python, Second Edition
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Deep Learning with Python, Second Edition
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Cover image
Learning OpenTelemetry
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As OpenTelemetry is the emerging standard for cloud-native observability, this book is highly relevant for contemporary practices. It offers a practical guide to setting up and operating OpenTelemetry, covering tracing, metrics, and logging. It's a must-read for those implementing observability with open standards.
Learning OpenTelemetry: Setting Up and Operating a...
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Learning OpenTelemetry
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Building Modern Data Applications Using Databricks...
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Another contemporary book focusing on building data applications on the Databricks Lakehouse Platform. It delves into modern data engineering practices and leveraging the platform's features, including those accessed via notebooks. It's a valuable resource for professionals using Databricks for production workloads.
Building Modern Data Applications Using Databricks...
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Building Modern Data Applications Using Databricks...
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The DevOps Handbook
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Provides a comprehensive overview of the principles and practices of DevOps. It covers topics such as culture, collaboration, and automation.
The DevOps Handbook: How to Create World-Class...
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The DevOps Handbook: How to Create World-Class...
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Site Reliability Engineering
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Provides a detailed overview of the principles and practices of site reliability engineering (SRE). It covers topics such as incident management, capacity planning, and performance optimization.
Site Reliability Engineering: How Google Runs...
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Site Reliability Engineering: How Google Runs...
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Pro Google Cloud Automation
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Focused specifically on automation within the Google Cloud Platform (GCP). It covers various GCP automation services and tools, including Deployment Manager, Spinnaker, Tekton, and Jenkins. This practical guide for those working with or planning to use GCP for their cloud automation needs.
Pro Google Cloud Automation
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Pro Google Cloud Automation
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Infrastructure as Code
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Provides a foundational understanding of Infrastructure as Code (IaC), a core concept in Cloud Automation. It explains the principles and patterns for managing infrastructure using code, which is essential for automating cloud environments. It's a valuable reference for anyone looking to implement IaC practices.
Infrastructure as Code: Dynamic Systems for the...
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Infrastructure as Code: Managing Servers in the...
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(Deutsch) Handbuch Infrastructure as Code: Prinzipien,...
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Replicated Data Management for Mobile Computing
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Provides a detailed overview of the principles and practices of monitoring complex systems. It covers topics such as data collection, visualization, and alerting.
Replicated Data Management for Mobile Computing...
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Data Visualisation
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Comprehensive guide to data visualization, covering everything from basic principles to advanced techniques. It is written in a clear and concise style, and it is packed with examples and exercises. This book does a fantastic job of providing a more in-depth look at many of the core principles associated with dashboards and great jumping-off point for learning more about them.
Data Visualisation: A Handbook for Data Driven...
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Data Visualisation: A Handbook for Data Driven...
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Data Visualisation: A Handbook for Data Driven...
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Python Data Science Handbook
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This handbook provides a comprehensive introduction to the core libraries for data science in Python: IPython, NumPy, Pandas, Matplotlib, and Scikit-learn. It is structured as a series of Jupyter Notebooks, making it an ideal resource for learning how to use these tools effectively within the notebook environment. It's a valuable reference for common data science tasks.
Python Data Science Handbook: Essential Tools for...
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Python Data Science Handbook: Essential Tools for...
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Python pour la Data Science - Les meilleures outils...
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Python Data Science Handbook
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Accelerate
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Provides a detailed overview of the principles and practices of high-performing technology organizations. It covers topics such as culture, leadership, and measurement.
Accelerate: The Science of Lean Software and DevOps...
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Accelerate: The Science of Lean Software and DevOps...
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Mastering Databricks Lakehouse Platform
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Focuses specifically on the Databricks Lakehouse Platform, a popular environment that heavily utilizes notebooks for data engineering, data science, and machine learning tasks. It's highly relevant for users working within the Databricks ecosystem, providing guidance on its features and workflows.
Mastering Databricks Lakehouse Platform: Perform...
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Cover image
The Visual Display of Quantitative Information...
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Classic in the field of data visualization, and it is still one of the most influential books in the field. Tufte provides a comprehensive overview of the principles of data visualization, and he covers a wide range of topics, from data types to visual perception. Edward Tufte is one of the most celebrated authorities in the field of data visualization.
The Visual Display of Quantitative Information, 2nd...
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Cloud Observability in Action
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Focuses on applying observability specifically in cloud-native environments, which contemporary and highly relevant topic. It covers using open-source tools like OpenTelemetry, Prometheus, and Grafana. It's a practical guide for those working with cloud-native applications.
Cloud Observability in Action
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Cloud Observability in Action
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Cloud-Native Observability with OpenTelemetry
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Complementing other OpenTelemetry books, this resource specifically targets cloud-native environments and emphasizes the combination of tracing, metrics, and logging. It is highly relevant for contemporary cloud deployments and provides practical guidance on using OpenTelemetry effectively.
Cloud-Native Observability with OpenTelemetry:...
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Cloud-Native Observability with OpenTelemetry:...
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Machine Learning with PyTorch and Scikit-Learn
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A practical guide to machine learning using two popular Python libraries, Scikit-learn and PyTorch, both commonly used in notebooks. It covers a wide range of ML algorithms and techniques with hands-on examples, making it directly relevant for implementing ML projects in a notebook environment.
Machine Learning with PyTorch and Scikit-Learn:...
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End-to-End Automation with Kubernetes and Crossplane
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Delves into automating infrastructure provisioning and application deployment using Kubernetes and Crossplane. It focuses on a control-plane based approach to infrastructure automation, representing a contemporary topic in the field. It's suitable for those looking into advanced Kubernetes automation patterns.
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End-to-End Automation with Kubernetes and...
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Cloud Security Automation
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Addresses the critical aspect of security within cloud automation. It covers how to automate security functions and ensure compliance in cloud environments, particularly focusing on AWS and OpenStack. It's a relevant resource for understanding DevSecOps principles in the cloud.
Cloud Security Automation
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Cloud Security Automation: Get to grips with...
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The Site Reliability Workbook
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A practical companion to the "Site Reliability Engineering" book, this workbook provides hands-on examples and case studies for implementing SRE principles, including practical applications of monitoring and creating Service Level Objectives (SLOs). It helps solidify the theoretical concepts with real-world scenarios and is useful for those looking to apply SRE practices.
The Site Reliability Workbook: Practical Ways to...
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The Site Reliability Workbook: Practical Ways to...
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Systems Performance
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A deep dive into systems performance analysis and tuning, this book covers methodologies, tools, and metrics for optimizing system performance. It provides essential knowledge for understanding what to monitor and how to interpret performance data, which is fundamental to effective infrastructure monitoring.
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Systems Performance: Enterprise and the Cloud
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(中文) BPF Performance Tools (English version): Insight...
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Mastering Distributed Tracing
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Another book dedicated to distributed tracing, this offers a comprehensive guide from a key figure in the OpenTracing and Jaeger projects. It delves into the theoretical foundations and practical implementation of tracing at scale. It's excellent for deepening understanding and strong reference.
Mastering Distributed Tracing: Analyzing...
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Mastering Distributed Tracing: Analyzing...
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Continuous Delivery
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A foundational book on the principles and practices of continuous delivery, which heavily relies on automation. It provides a comprehensive guide to automating the software release pipeline, including infrastructure automation in cloud environments. It's a classic in the field and essential for understanding the 'why' behind much of Cloud Automation.
Continuous Delivery: Reliable Software Releases...
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Continuous Delivery: Reliable Software Releases...
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GitOps Cookbook
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This cookbook provides practical recipes and examples for implementing GitOps practices for Kubernetes automation. GitOps modern approach to continuous delivery that leverages Git as the single source of truth for declarative infrastructure and applications. It's highly relevant for contemporary cloud automation workflows.
GitOps Cookbook
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GitOps Cookbook
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Practical OpenTelemetry
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Provides a practical guide to adopting OpenTelemetry across an organization, focusing on the value and implementation challenges. It's a good resource for understanding how to integrate OpenTelemetry into existing systems and workflows.
Practical OpenTelemetry: Adopting Open...
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Practical OpenTelemetry: Adopting Open...
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Python for Data Science
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Provides a practical introduction to data science using Python, covering data processing, analysis, and visualization. It adopts a learn-by-doing approach with examples that can be easily followed and executed in a notebook environment, making it suitable for beginners in data science.
Python for Data Science: A Hands-On Introduction
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Chaos Engineering
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Introduces Chaos Engineering, a discipline focused on experimenting on a system in order to build confidence in that system's capability to withstand turbulent conditions in production. It highlights the importance of monitoring and observability in understanding the impact of failures and building resilient systems, a contemporary topic in infrastructure management.
Chaos Engineering: System Resiliency in Practice
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Chaos Engineering: System Resiliency in Practice
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Learning DevOps
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This guide covers a range of tools and practices relevant to DevOps and Cloud Automation, including Terraform, Azure DevOps, Kubernetes, and Jenkins. It provides a good overview of how these tools fit together in a DevOps pipeline. It's suitable for those looking for a broad introduction to various automation tools.
Learning DevOps: A comprehensive guide to...
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Ansible for DevOps
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Explores the integration of Ansible, a popular automation tool, with Kubernetes. It's useful for automating the deployment and management of applications on Kubernetes clusters using Ansible playbooks. This provides a specific focus on automating containerized workloads.
Ansible for DevOps: Server and configuration...
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Ansible for DevOps: Server and configuration...
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Practical Monitoring
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Offers practical strategies for monitoring production systems effectively. It covers various aspects of monitoring, including what to monitor, how to set up alerts, and how to use monitoring data to improve system reliability. It's a valuable resource for practitioners looking for actionable advice on building robust monitoring systems.
Practical Monitoring: Effective Strategies for the...
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Practical Monitoring: Effective Strategies for the...
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Data Points
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Collection of essays on data visualization, written by one of the leading experts in the field. Yau covers a wide range of topics, from the history of data visualization to the latest trends in the field. This book provides a lot of real-world examples of dashboards and how they are used.
Data Points: Visualization That Means Something
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Rating
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Effort
10 total hours
Via
Udemy
Instructor
Georgi I.
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Provides a step-by-step guide to installing and deploying Dynatrace, making it accessible for individuals with limited technical backgrounds
Covers both the latest interface and classic view, which ensures learners can navigate Dynatrace regardless of the version they encounter
Explores DQL (Dynatrace Query Language), which allows learners to create custom queries and dashboards for in-depth data analysis and visualization
Includes application security, which is a critical aspect of modern IT infrastructure and helps learners understand how to protect their systems
Focuses on Dynatrace OneAgent deployment, which is a core component of Dynatrace and essential for collecting data from monitored systems
Teaches the creation of service-level objectives, which are essential for measuring and managing the performance of critical services and applications
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