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Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to use the Datadog Helm Chart.
In this lab you will run the Datadog Agent in a Kubernetes cluster as a DaemonSet in order to start collecting your cluster and applications metrics, traces, and logs. You can deploy a Datadog Agent with a Helm chart or directly with a DaemonSet object YAML definition.
In this lab you will be explaining and using those options in a real cluster, checking in real time the features they enable.
Register for this course and see more details by visiting:
OpenCourser.com/course/y1pssq/datadog
What's inside
Syllabus
Datadog: Getting started with the Helm Chart
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Strengthens an existing foundation in Kubernetes Cluster
Can be applied in real-time, suitable for monitoring applications
Use the Datadog Helm Chart to manage the deployment of Datadog Agent in a Kubernetes cluster
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Save Datadog: Getting started with the Helm Chart to your list so you can find it easily later:
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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 Datadog: Getting started with the Helm Chart with these
activities:
Create code and notes for future reference
Show steps
Keep a collection of important code snippets, configurations, and notes for quick reference
Show steps
-
Organize and store code snippets and notes
-
Review and update the collection regularly
Assist other learners by answering questions
Show steps
Actively answer questions from peers in forums, reinforcing understanding and community engagement
Browse courses on
Community Involvement
Show steps
-
Join the Datadog community forums
-
Identify questions related to the course material
-
Provide well-researched and detailed answers
Run different monitoring scenarios
Show steps
Execute various monitoring scenarios to enhance troubleshooting and optimization skills
Show steps
-
Identify typical monitoring scenarios
-
Create a test plan for each scenario
-
Execute test plans and record results
One other activity
Expand to see all activities and additional details
Show all four activities
Write a detailed explanation of Helm chart process
Show steps
Craft a comprehensive verbal or written breakdown of the Helm chart process, reinforcing knowledge
Show steps
-
Brainstorm the explanation concepts
-
Compose explanation outline
-
Write the explanation
-
Review and refine the written explanation
Create code and notes for future reference
Show steps
Keep a collection of important code snippets, configurations, and notes for quick reference
Show steps
Show steps
Show steps
- Organize and store code snippets and notes
- Review and update the collection regularly
Assist other learners by answering questions
Show steps
Actively answer questions from peers in forums, reinforcing understanding and community engagement
Browse courses on
Community Involvement
Show steps
Show steps
Show steps
- Join the Datadog community forums
- Identify questions related to the course material
- Provide well-researched and detailed answers
Run different monitoring scenarios
Show steps
Execute various monitoring scenarios to enhance troubleshooting and optimization skills
Show steps
Show steps
Show steps
- Identify typical monitoring scenarios
- Create a test plan for each scenario
- Execute test plans and record results
One other activity
Expand to see all activities and additional details
Show all four activities
Write a detailed explanation of Helm chart process
Show steps
Craft a comprehensive verbal or written breakdown of the Helm chart process, reinforcing knowledge
Show steps
Show steps
Show steps
- Brainstorm the explanation concepts
- Compose explanation outline
- Write the explanation
- Review and refine the written explanation
Career center
Learners who complete Datadog: Getting started with the Helm Chart will develop knowledge and skills
that may be useful to these careers:
Site Reliability Engineer
Site Reliability Engineer
The Site Reliability Engineer (SRE) is responsible for the reliability and performance of software systems. This role requires skills in software development, operations, and systems engineering. The Datadog: Getting started with the Helm Chart course can help build a foundation for a career as an SRE by providing hands-on experience with monitoring and troubleshooting the performance of applications and infrastructure. This experience is valuable for SREs who need to ensure the reliability and performance of their systems.
Cloud Architect
Cloud Architect
The Cloud Architect is responsible for designing and implementing cloud-based solutions. This role requires skills in cloud computing, software development, and systems engineering. The Datadog: Getting started with the Helm Chart course can help build a foundation for a career as a Cloud Architect by providing hands-on experience with deploying and managing the Datadog Agent in a Kubernetes cluster. This experience is valuable for Cloud Architects who need to monitor and troubleshoot the performance of their cloud-based applications and infrastructure.
DevOps Engineer
DevOps Engineer
The DevOps Engineer is responsible for the planning, implementation, and maintenance of the software development and delivery lifecycle. This role combines software development and IT operations to improve the speed and quality of software delivery. The Datadog: Getting started with the Helm Chart course can help build a foundation for a career as a DevOps Engineer by providing hands-on experience with deploying and managing the Datadog Agent in a Kubernetes cluster. This experience is valuable for DevOps Engineers who need to monitor and troubleshoot the performance of their applications and infrastructure.
Kubernetes Engineer
Kubernetes Engineer
The Kubernetes Engineer is responsible for the design, implementation, and management of Kubernetes clusters. This role requires skills in Kubernetes, containerization, and cloud computing. The Datadog: Getting started with the Helm Chart course can help build a foundation for a career as a Kubernetes Engineer by providing hands-on experience with deploying and managing the Datadog Agent in a Kubernetes cluster. This experience is valuable for Kubernetes Engineers who need to monitor and troubleshoot the performance of their clusters.
Security Analyst
Security Analyst
The Security Analyst is responsible for monitoring and analyzing security events. This role requires skills in security analysis, incident response, and compliance. The Datadog: Getting started with the Helm Chart course may be useful for building a foundation for a career as a Security Analyst by providing hands-on experience with monitoring and securing Kubernetes clusters. This experience can be valuable for Security Analysts who need to ensure the security of their cloud-based applications and infrastructure.
DevSecOps Engineer
DevSecOps Engineer
The DevSecOps Engineer is responsible for integrating security into the software development and delivery lifecycle. This role requires skills in software development, operations, security, and compliance. The Datadog: Getting started with the Helm Chart course may be useful for building a foundation for a career as a DevSecOps Engineer by providing hands-on experience with monitoring and securing Kubernetes clusters. This experience can be valuable for DevSecOps Engineers who need to ensure the security of their applications and infrastructure.
Cloud Security Engineer
Cloud Security Engineer
The Cloud Security Engineer is responsible for the security of cloud-based applications and infrastructure. This role requires skills in cloud security, networking, and compliance. The Datadog: Getting started with the Helm Chart course may be useful for building a foundation for a career as a Cloud Security Engineer by providing hands-on experience with monitoring and securing Kubernetes clusters. This experience can be valuable for Cloud Security Engineers who need to ensure the security of their cloud-based applications and infrastructure.
Data Analyst
Data Analyst
The Data Analyst is responsible for collecting, analyzing, and interpreting data. This role requires skills in data analysis, statistics, and programming. The Datadog: Getting started with the Helm Chart course may be useful for building a foundation for a career as a Data Analyst by providing hands-on experience with collecting and analyzing data from Kubernetes clusters. This experience can be valuable for Data Analysts who need to work with data from cloud-based applications and infrastructure.
Software Development Engineer
Software Development Engineer
The Software Development Engineer is responsible for the design, development, and maintenance of software applications. This role requires skills in software development, programming languages, and algorithms. The Datadog: Getting started with the Helm Chart course may be useful for building a foundation for a career as a Software Development Engineer by providing hands-on experience with deploying and managing the Datadog Agent in a Kubernetes cluster. This experience can be valuable for Software Development Engineers who need to monitor and troubleshoot the performance of their applications.
Data Engineer
Data Engineer
The Data Engineer is responsible for the design, implementation, and maintenance of data pipelines. This role requires skills in data engineering, big data, and cloud computing. The Datadog: Getting started with the Helm Chart course may be useful for building a foundation for a career as a Data Engineer by providing hands-on experience with collecting and analyzing data from Kubernetes clusters. This experience can be valuable for Data Engineers who need to work with data from cloud-based applications and infrastructure.
Network Engineer
Network Engineer
The Network Engineer is responsible for the design, implementation, and maintenance of computer networks. This role requires skills in networking, routing, and security. The Datadog: Getting started with the Helm Chart course may be useful for building a foundation for a career as a Network Engineer by providing hands-on experience with monitoring and troubleshooting the performance of Kubernetes clusters. This experience can be valuable for Network Engineers who need to ensure the reliability and performance of their networks.
Systems Administrator
Systems Administrator
The Systems Administrator is responsible for the maintenance and support of IT systems. This role requires skills in systems administration, networking, and security. The Datadog: Getting started with the Helm Chart course may be useful for building a foundation for a career as a Systems Administrator by providing hands-on experience with managing Kubernetes clusters. This experience can be valuable for Systems Administrators who need to ensure the reliability and performance of their systems.
IT Operations Engineer
IT Operations Engineer
The IT Operations Engineer is responsible for the day-to-day operation of IT systems. This role requires skills in systems administration, networking, and security. The Datadog: Getting started with the Helm Chart course may be useful for building a foundation for a career as an IT Operations Engineer by providing hands-on experience with managing Kubernetes clusters. This experience can be valuable for IT Operations Engineers who need to ensure the reliability and performance of their systems.
Data Scientist
Data Scientist
The Data Scientist is responsible for the analysis and interpretation of data. This role requires skills in data analysis, statistics, and machine learning. The Datadog: Getting started with the Helm Chart course may be useful for building a foundation for a career as a Data Scientist by providing hands-on experience with collecting and analyzing data from Kubernetes clusters. This experience can be valuable for Data Scientists who need to work with data from cloud-based applications and infrastructure.
For more career information including salaries, visit:
OpenCourser.com/course/y1pssq/datadog
Reading list
We've selected six 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
Datadog: Getting started with the Helm Chart.
Save
A comprehensive guide to Helm, covering topics such as packaging, dependency management, and release management. Provides hands-on examples and best practices.
Covers the integration of Helm with Kubernetes for continuous delivery and automation pipelines. Provides insights into CI/CD best practices and monitoring strategies.
A practical guide to implementing DevOps practices in a Kubernetes environment. Covers Helm usage, CI/CD integration, and monitoring strategies.
A practical guide to deploying and managing containerized applications on Kubernetes. Covers Helm chart usage, scaling strategies, and troubleshooting.
A detailed guide to logging in Kubernetes environments. Covers log aggregation, storage, and analysis. Includes information on Helm charts for logging solutions.
Provides a comprehensive overview of Kubernetes architecture and core concepts. Includes a brief introduction to Helm and its role in managing deployments.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/y1pssq/datadog
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Effort
1 hour
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Strengthens an existing foundation in Kubernetes Cluster
Can be applied in real-time, suitable for monitoring applications
Use the Datadog Helm Chart to manage the deployment of Datadog Agent in a Kubernetes cluster
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