We may earn an affiliate commission when you visit our partners.
Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console.
Read more
This is a self-paced lab that takes place in the Google Cloud console.
Read more
This is a self-paced lab that takes place in the Google Cloud console.
A step-by-step guide through the process to configure multiple methods to ingest Google Cloud data into Splunk. In this hands-on lab you'll learn how to configure Google Cloud to send logging and other infrastructure data to Splunk Cloud via Dataflow, the Splunk Add-on for Google Cloud Platform, and Splunk Connect for Kubernetes (SC4K).
Register for this course and see more details by visiting:
OpenCourser.com/course/ec3k53/getting
Two deals to help you save
We found two deals and offers that may be relevant to this course.
Save money when you learn.
All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.
What's inside
Syllabus
Getting Started with Splunk Cloud GDI on Google Cloud
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Instructors are Google Cloud Training professionals
Hands-on labs help students apply concepts practically
Covers essential methods for ingesting Google Cloud data into Splunk
Suitable for learners with experience in data ingestion, logging, and Splunk
Assumes familiarity with Google Cloud Platform and Splunk Cloud
Does not cover advanced topics in data ingestion or Splunk configuration
Save this course
Save Getting Started with Splunk Cloud GDI on Google Cloud to your list so you can find it easily later:
Save
Save
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 Getting Started with Splunk Cloud GDI on Google Cloud with these
activities:
Review logging and data collection methods
Show steps
Review logging and data collection methods to ensure a strong foundation for the course
Browse courses on
Logging
Show steps
-
Review the documentation on logging and data collection methods for Google Cloud and Splunk
-
Practice configuring logging and data collection for a sample application
Follow tutorials on Splunk Add-on for Google Cloud Platform
Show steps
Following tutorials on Splunk Add-on for Google Cloud Platform will improve familiarity and ease of use
Show steps
-
Locate the official documentation or online tutorials for Splunk Add-on for Google Cloud Platform
-
Follow the step-by-step instructions provided in the tutorials
Build a Resource Guide
Show steps
Build a guide of tools and resources (e.g., tutorials, reference articles, software) that are relevant to the course topics.
Show steps
-
Identify Core Concepts
-
Research Available Resources
-
Organize and Categorize
-
Evaluate and Annotate
14 other activities
Expand to see all activities and additional details
Show all 17 activities
Follow the Google Cloud documentation on logging and monitoring
Show steps
Review the Google Cloud documentation to learn more about logging and monitoring your Google Cloud environment.
Show steps
-
Read the Google Cloud documentation on logging.
-
Read the Google Cloud documentation on monitoring.
-
Watch the Google Cloud videos on logging and monitoring.
Follow the Splunk documentation on the Splunk Add-on for Google Cloud Platform
Show steps
Review the Splunk documentation to learn more about the Splunk Add-on for Google Cloud Platform.
Show steps
-
Read the Splunk documentation on the Splunk Add-on for Google Cloud Platform.
-
Watch the Splunk videos on the Splunk Add-on for Google Cloud Platform.
Follow the Splunk documentation on Splunk Connect for Kubernetes (SC4K)
Show steps
Review the Splunk documentation to learn more about Splunk Connect for Kubernetes (SC4K).
Show steps
-
Read the Splunk documentation on Splunk Connect for Kubernetes (SC4K).
-
Watch the Splunk videos on Splunk Connect for Kubernetes (SC4K).
Practice configuring Dataflow
Show steps
Practice configuring Dataflow to enhance understanding of data ingestion
Browse courses on
Dataflow
Show steps
-
Review the documentation on configuring Dataflow
-
Set up a test environment for practicing Dataflow configuration
-
Configure Dataflow to ingest data from a simulated source
Explore Data Analysis Techniques
Show steps
Complete online tutorials or courses on data analysis techniques such as time series analysis, clustering, or anomaly detection to enhance your understanding of the course concepts.
Show steps
-
Identify Relevant Tutorials
-
Follow Tutorials and Complete Exercises
-
Apply Techniques to Course Projects
Engage in Collaborative Projects
Show steps
Work with peers on small projects or assignments to discuss and apply the concepts learned in the course, fostering a collaborative learning environment.
Show steps
-
Form Study Groups
-
Define Project Goals and Roles
-
Collaborate on Project Development
-
Present Findings and Discuss Outcomes
Develop a data ingestion pipeline
Show steps
Developing a data ingestion pipeline will provide hands-on experience and reinforce learning
Browse courses on
Data Ingestion
Show steps
-
Design a data ingestion pipeline that meets specific requirements
-
Select and configure the necessary Google Cloud and Splunk components
-
Implement the data ingestion pipeline and test its functionality
Solve Data Ingestion Problems
Show steps
Practice solving data ingestion problems to strengthen your skills in configuring data pipelines and handling data transformations.
Show steps
-
Review Course Concepts
-
Attempt Practice Problems
-
Analyze Solutions and Identify Patterns
Develop a Data Ingestion Plan
Show steps
Create a comprehensive plan outlining the strategies and techniques you would use to ingest data from various sources into a target system, considering factors such as data format, frequency, and security.
Show steps
-
Gather Requirements and Analyze Data Sources
-
Design Data Pipeline Architecture
-
Identify and Configure Data Transformation Tools
-
Document Plan and Communicate to Stakeholders
Practice configuring Google Cloud to send logging data to Splunk Cloud
Show steps
Practice the steps outlined in the lab to configure Google Cloud to send logging data to Splunk Cloud.
Show steps
-
Create a Google Cloud project.
-
Enable the Google Cloud Logging API.
-
Create a Splunk Cloud account.
-
Configure Google Cloud to send logging data to Splunk Cloud.
-
Test the configuration by sending log messages from Google Cloud.
Practice configuring the Splunk Add-on for Google Cloud Platform
Show steps
Practice the steps outlined in the lab to configure the Splunk Add-on for Google Cloud Platform.
Show steps
-
Download and install the Splunk Add-on for Google Cloud Platform.
-
Configure the Splunk Add-on for Google Cloud Platform.
-
Create a data input in Splunk Cloud.
-
Configure the data input to use the Splunk Add-on for Google Cloud Platform.
-
Test the configuration by sending data from Google Cloud to Splunk Cloud.
Practice configuring Splunk Connect for Kubernetes (SC4K)
Show steps
Practice the steps outlined in the lab to configure Splunk Connect for Kubernetes (SC4K).
Show steps
-
Download and install SC4K.
-
Configure SC4K.
-
Create a data input in Splunk Cloud.
-
Configure the data input to use SC4K.
-
Test the configuration by sending data from Kubernetes to Splunk Cloud.
Create a diagram of the data flow from Google Cloud to Splunk Cloud
Show steps
Create a diagram that shows the flow of data from Google Cloud to Splunk Cloud.
Show steps
-
Identify the different data sources in Google Cloud.
-
Identify the different data sinks in Splunk Cloud.
-
Map the data flow from the data sources to the data sinks.
-
Create a diagram that represents the data flow.
Write a report on the benefits of using Splunk to monitor Google Cloud
Show steps
Write a report that discusses the benefits of using Splunk to monitor your Google Cloud environment.
Show steps
-
Research the benefits of using Splunk to monitor Google Cloud.
-
Write a report that outlines the benefits of using Splunk to monitor Google Cloud.
Review logging and data collection methods
Show steps
Review logging and data collection methods to ensure a strong foundation for the course
Browse courses on
Logging
Show steps
Show steps
Show steps
- Review the documentation on logging and data collection methods for Google Cloud and Splunk
- Practice configuring logging and data collection for a sample application
Follow tutorials on Splunk Add-on for Google Cloud Platform
Show steps
Following tutorials on Splunk Add-on for Google Cloud Platform will improve familiarity and ease of use
Show steps
Show steps
Show steps
- Locate the official documentation or online tutorials for Splunk Add-on for Google Cloud Platform
- Follow the step-by-step instructions provided in the tutorials
Build a Resource Guide
Show steps
Build a guide of tools and resources (e.g., tutorials, reference articles, software) that are relevant to the course topics.
Show steps
Show steps
Show steps
- Identify Core Concepts
- Research Available Resources
- Organize and Categorize
- Evaluate and Annotate
14 other activities
Expand to see all activities and additional details
Show all 17 activities
Follow the Google Cloud documentation on logging and monitoring
Show steps
Review the Google Cloud documentation to learn more about logging and monitoring your Google Cloud environment.
Show steps
Show steps
Show steps
- Read the Google Cloud documentation on logging.
- Read the Google Cloud documentation on monitoring.
- Watch the Google Cloud videos on logging and monitoring.
Follow the Splunk documentation on the Splunk Add-on for Google Cloud Platform
Show steps
Review the Splunk documentation to learn more about the Splunk Add-on for Google Cloud Platform.
Show steps
Show steps
Show steps
- Read the Splunk documentation on the Splunk Add-on for Google Cloud Platform.
- Watch the Splunk videos on the Splunk Add-on for Google Cloud Platform.
Follow the Splunk documentation on Splunk Connect for Kubernetes (SC4K)
Show steps
Review the Splunk documentation to learn more about Splunk Connect for Kubernetes (SC4K).
Show steps
Show steps
Show steps
- Read the Splunk documentation on Splunk Connect for Kubernetes (SC4K).
- Watch the Splunk videos on Splunk Connect for Kubernetes (SC4K).
Practice configuring Dataflow
Show steps
Practice configuring Dataflow to enhance understanding of data ingestion
Browse courses on
Dataflow
Show steps
Show steps
Show steps
- Review the documentation on configuring Dataflow
- Set up a test environment for practicing Dataflow configuration
- Configure Dataflow to ingest data from a simulated source
Explore Data Analysis Techniques
Show steps
Complete online tutorials or courses on data analysis techniques such as time series analysis, clustering, or anomaly detection to enhance your understanding of the course concepts.
Show steps
Show steps
Show steps
- Identify Relevant Tutorials
- Follow Tutorials and Complete Exercises
- Apply Techniques to Course Projects
Engage in Collaborative Projects
Show steps
Work with peers on small projects or assignments to discuss and apply the concepts learned in the course, fostering a collaborative learning environment.
Show steps
Show steps
Show steps
- Form Study Groups
- Define Project Goals and Roles
- Collaborate on Project Development
- Present Findings and Discuss Outcomes
Develop a data ingestion pipeline
Show steps
Developing a data ingestion pipeline will provide hands-on experience and reinforce learning
Browse courses on
Data Ingestion
Show steps
Show steps
Show steps
- Design a data ingestion pipeline that meets specific requirements
- Select and configure the necessary Google Cloud and Splunk components
- Implement the data ingestion pipeline and test its functionality
Solve Data Ingestion Problems
Show steps
Practice solving data ingestion problems to strengthen your skills in configuring data pipelines and handling data transformations.
Show steps
Show steps
Show steps
- Review Course Concepts
- Attempt Practice Problems
- Analyze Solutions and Identify Patterns
Develop a Data Ingestion Plan
Show steps
Create a comprehensive plan outlining the strategies and techniques you would use to ingest data from various sources into a target system, considering factors such as data format, frequency, and security.
Show steps
Show steps
Show steps
- Gather Requirements and Analyze Data Sources
- Design Data Pipeline Architecture
- Identify and Configure Data Transformation Tools
- Document Plan and Communicate to Stakeholders
Practice configuring Google Cloud to send logging data to Splunk Cloud
Show steps
Practice the steps outlined in the lab to configure Google Cloud to send logging data to Splunk Cloud.
Show steps
Show steps
Show steps
- Create a Google Cloud project.
- Enable the Google Cloud Logging API.
- Create a Splunk Cloud account.
- Configure Google Cloud to send logging data to Splunk Cloud.
- Test the configuration by sending log messages from Google Cloud.
Practice configuring the Splunk Add-on for Google Cloud Platform
Show steps
Practice the steps outlined in the lab to configure the Splunk Add-on for Google Cloud Platform.
Show steps
Show steps
Show steps
- Download and install the Splunk Add-on for Google Cloud Platform.
- Configure the Splunk Add-on for Google Cloud Platform.
- Create a data input in Splunk Cloud.
- Configure the data input to use the Splunk Add-on for Google Cloud Platform.
- Test the configuration by sending data from Google Cloud to Splunk Cloud.
Practice configuring Splunk Connect for Kubernetes (SC4K)
Show steps
Practice the steps outlined in the lab to configure Splunk Connect for Kubernetes (SC4K).
Show steps
Show steps
Show steps
- Download and install SC4K.
- Configure SC4K.
- Create a data input in Splunk Cloud.
- Configure the data input to use SC4K.
- Test the configuration by sending data from Kubernetes to Splunk Cloud.
Create a diagram of the data flow from Google Cloud to Splunk Cloud
Show steps
Create a diagram that shows the flow of data from Google Cloud to Splunk Cloud.
Show steps
Show steps
Show steps
- Identify the different data sources in Google Cloud.
- Identify the different data sinks in Splunk Cloud.
- Map the data flow from the data sources to the data sinks.
- Create a diagram that represents the data flow.
Write a report on the benefits of using Splunk to monitor Google Cloud
Show steps
Write a report that discusses the benefits of using Splunk to monitor your Google Cloud environment.
Show steps
Show steps
Show steps
- Research the benefits of using Splunk to monitor Google Cloud.
- Write a report that outlines the benefits of using Splunk to monitor Google Cloud.
Career center
Learners who complete Getting Started with Splunk Cloud GDI on Google Cloud will develop knowledge and skills
that may be useful to these careers:
Chief Data Officer
Chief Data Officer
Chief Data Officers are responsible for overseeing an organization's data strategy and ensuring that data is used to support the organization's goals. This course will help you gain insights into how to set up pipelines to feed data from Google Cloud Platform into your central data repository, providing you with an improved data foundation to drive better decision-making.
Cloud Security Engineer
Cloud Security Engineer
Cloud Security Engineers are responsible for securing cloud computing systems and data. This course will help you learn how to configure Google Cloud to send logging and other infrastructure data to Splunk Cloud, a valuable tool for Cloud Security Engineers to monitor and manage security.
Data Governance Analyst
Data Governance Analyst
Data Governance Analysts are responsible for ensuring that data is used in a consistent and compliant manner. This course will help you gain an understanding of methods to ingest, process, and analyze data from Google Cloud Platform, an important step in managing and governing data.
Database Administrator
Database Administrator
A Database Administrator is responsible for managing and maintaining databases. This course may be useful to you as it can help you learn how to use Splunk to monitor and analyze database performance, which is a key responsibility of Database Administrators.
Data Scientist
Data Scientist
Data Scientists use data to build models that can be used to make predictions and improve decision-making. This course may be useful to you as it can help you learn how to use Google Cloud Dataflow, Splunk, and Kubernetes to collect, process, and analyze data, which are all important tools for Data Scientists.
Data Warehouse Engineer
Data Warehouse Engineer
As a Data Warehouse Engineer, you are responsible for designing and managing data warehouses used to store and process large amounts of data. By completing this course, you can gain insights into how to set up pipelines to feed data from Google Cloud Platform into your data warehouse, which can greatly increase efficiency and reduce costs.
Security Analyst
Security Analyst
Security Analysts are responsible for protecting an organization's computer systems and networks from cyber attacks. This course will help you learn how to use Splunk to monitor and analyze security data to detect and respond to threats.
Site Reliability Engineer (SRE)
Site Reliability Engineer (SRE)
Site Reliability Engineers are responsible for the reliability and performance of software systems. This course will help you learn how to configure Google Cloud to send logging and other infrastructure data to Splunk Cloud, a valuable tool for SREs to monitor and manage systems.
Cloud Architect
Cloud Architect
Cloud Architects design, build, and manage cloud computing systems. This course will help you learn how to configure Google Cloud to send logging and other infrastructure data to Splunk Cloud, a valuable tool for Cloud Architects to monitor and manage cloud systems.
DevOps Engineer
DevOps Engineer
DevOps Engineers bring together development and operations teams to ensure that software is developed and delivered quickly and efficiently. This course will help you configure and manage Google Cloud to send logging and other infrastructure data to Splunk Cloud, a valuable tool for DevOps Engineers.
Data Engineer
Data Engineer
Data Engineers are responsible for designing, building, and maintaining data pipelines that are used to collect, transform, and store data for use in analytics and machine learning. This course may be useful to you as it can help you build a foundation in working with Google Cloud Dataflow, Splunk, and Kubernetes, which are all important tools for Data Engineers.
Data Analyst
Data Analyst
A Data Analyst is responsible for collecting and analyzing data to make inferences and provide actionable information. By completing this course, you can learn about methods to ingest, process, and analyze data from Google Cloud Platform, which can provide you with a better understanding of this increasingly used and powerful tool.
Systems Engineer
Systems Engineer
As a Systems Engineer, you can provide critical infrastructure support to ensure that cloud-based data pipelines can be created and maintained. This course may be useful as it can help you understand how to configure and manage a data pipeline which is a necessary skill in this field.
For more career information including salaries, visit:
OpenCourser.com/course/ec3k53/getting
Reading list
We've selected nine 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
Getting Started with Splunk Cloud GDI on Google Cloud.
Save
Provides a comprehensive overview of Android programming, including topics such as activity lifecycle, user interface design, and data storage.
Save
Provides a practical guide to DevOps, a set of practices that combine software development and IT operations.
Provides a practical guide to site reliability engineering, a set of practices that ensure the reliability and availability of software systems.
Save
Novel that tells the story of a fictional company that implements DevOps practices to improve its software development process.
Provides a practical guide to the lean startup methodology, a set of practices that help entrepreneurs build successful businesses.
Provides a framework for understanding why established companies often fail to innovate successfully.
Provides a framework for understanding the challenges of marketing and selling new products to a mainstream audience.
Save
Provides a framework for developing and evaluating good strategies.
Provides a practical guide to the challenges of running a successful business.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ec3k53/getting
Share
Similar courses
Here are nine courses similar to
Getting Started with Splunk Cloud GDI on Google Cloud.
Machine Learning with Splunk
OpenCourser.com/course/gbqa23/machine
Machine Learning with Splunk
Most relevant
Cloud CDN
OpenCourser.com/course/65ssgy/cloud
Cloud CDN
Most relevant
Configuring Private Google Access and Cloud NAT
OpenCourser.com/course/m9jfrl/configuring
Configuring Private Google Access and Cloud NAT
Most relevant
Securing a Cloud SQL for PostgreSQL Instance
OpenCourser.com/course/hlk24y/securing
Securing a Cloud SQL for PostgreSQL Instance
Splunk Deep Dive
OpenCourser.com/course/tnu7nl/splunk
Splunk Deep Dive
Splunk Enterprise Administration: Managing Data and Forwarders
OpenCourser.com/course/ba2vpj/splunk
Splunk Enterprise Administration: Managing Data and...
Configuring and Deploying Windows SQL Server on Google Cloud
OpenCourser.com/course/1swgue/configuring
Configuring and Deploying Windows SQL Server on Google...
Introduction to Cloud Identity
OpenCourser.com/course/0z7788/introduction
Introduction to Cloud Identity
Configure Replication and Enable Point-in-Time-Recovery for Cloud SQL for PostgreSQL
OpenCourser.com/course/loco8h/configure
Configure Replication and Enable Point-in-Time-Recovery...
Effort
1 hour 30 minutes
Level
Intermediate
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Instructors are Google Cloud Training professionals
Hands-on labs help students apply concepts practically
Covers essential methods for ingesting Google Cloud data into Splunk
Suitable for learners with experience in data ingestion, logging, and Splunk
Assumes familiarity with Google Cloud Platform and Splunk Cloud
Does not cover advanced topics in data ingestion or Splunk configuration
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2024 OpenCourser