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Getting Started with Splunk Cloud GDI on Google Cloud

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).

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What's inside

Syllabus

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Read about what's good

what should give you pause

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

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Reviews summary

Practical splunk cloud on google cloud lab

According to students, this lab offers a practical, hands-on experience for integrating Splunk Cloud with Google Cloud services. Learners highlight its step-by-step guidance through key data ingestion methods, such as Dataflow, the Splunk Add-on for Google Cloud Platform, and Splunk Connect for Kubernetes (SC4K). While the course is praised for its direct applicability to real-world scenarios, some suggest that having prior familiarity with Google Cloud basics can enhance the learning journey, making the initial setup smoother. The self-paced lab format allows participants to learn at their own speed, providing a solid foundation for those looking to manage cloud logging and infrastructure data.

Basic Google Cloud knowledge enhances the learning curve.

"While labeled 'getting started,' I found it helpful to have some prior GCP familiarity."

"I recommend a basic understanding of Google Cloud console before diving in."

"The course moves quickly, and a foundation in cloud concepts is beneficial."

Well-structured guidance makes complex setups manageable.

"The step-by-step instructions were very clear, even for intricate configurations."

"I appreciated how the course broke down the process into easy-to-follow steps."

"The guidance ensured I could complete the lab without getting lost in technical details."

Provides practical, direct application of learned concepts.

"I found the hands-on labs invaluable for understanding data ingestion into Splunk Cloud."

"This course is great because it gets you directly into the Google Cloud console with real tasks."

"The practical exercises were key to really grasping how to integrate Splunk with GCP."

Directly applicable skills for cloud and data roles.

"This course provides highly relevant skills for anyone working with Splunk and Google Cloud."

"I can immediately apply what I learned to my current work in cloud operations."

"Excellent for professionals seeking to manage cloud logging and infrastructure data effectively."

Initial setup can present minor challenges for some learners.

"Setting up the environment required careful attention; I hit a few small snags initially."

"While the instructions are clear, I found the very first steps of environment prep a bit fiddly."

"Ensuring all permissions and configurations were correct took a bit of time."

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

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Review logging and data collection methods to ensure a strong foundation for the course

Browse courses on Logging

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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

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Following tutorials on Splunk Add-on for Google Cloud Platform will improve familiarity and ease of use

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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

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Build a guide of tools and resources (e.g., tutorials, reference articles, software) that are relevant to the course topics.

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Identify Core Concepts
Research Available Resources
Organize and Categorize
Evaluate and Annotate

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Follow the Google Cloud documentation on logging and monitoring

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Review the Google Cloud documentation to learn more about logging and monitoring your Google Cloud environment.

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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

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Review the Splunk documentation to learn more about the Splunk Add-on for Google Cloud Platform.

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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)

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Review the Splunk documentation to learn more about Splunk Connect for Kubernetes (SC4K).

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Read the Splunk documentation on Splunk Connect for Kubernetes (SC4K).
Watch the Splunk videos on Splunk Connect for Kubernetes (SC4K).

Practice configuring Dataflow

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Practice configuring Dataflow to enhance understanding of data ingestion

Browse courses on Dataflow

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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

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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.

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Identify Relevant Tutorials
Follow Tutorials and Complete Exercises
Apply Techniques to Course Projects

Engage in Collaborative Projects

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Work with peers on small projects or assignments to discuss and apply the concepts learned in the course, fostering a collaborative learning environment.

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Form Study Groups
Define Project Goals and Roles
Collaborate on Project Development
Present Findings and Discuss Outcomes

Develop a data ingestion pipeline

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Developing a data ingestion pipeline will provide hands-on experience and reinforce learning

Browse courses on Data Ingestion

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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

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Practice solving data ingestion problems to strengthen your skills in configuring data pipelines and handling data transformations.

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Review Course Concepts
Attempt Practice Problems
Analyze Solutions and Identify Patterns

Develop a Data Ingestion Plan

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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.

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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

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Practice the steps outlined in the lab to configure Google Cloud to send logging data to Splunk Cloud.

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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

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Practice the steps outlined in the lab to configure the Splunk Add-on for Google Cloud Platform.

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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)

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Practice the steps outlined in the lab to configure Splunk Connect for Kubernetes (SC4K).

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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

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Create a diagram that shows the flow of data from Google Cloud to Splunk Cloud.

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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

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Write a report that discusses the benefits of using Splunk to monitor your Google Cloud environment.

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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 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.

See salaries and explore the career path for Chief Data Officer

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.

See salaries and explore the career path for Cloud Security Engineer

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.

See salaries and explore the career path for Data Governance Analyst

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.

See salaries and explore the career path for Database Administrator

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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for Data Warehouse Engineer

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.

See salaries and explore the career path for Security Analyst

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.

See salaries and explore the career path for Site Reliability Engineer (SRE)

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.

See salaries and explore the career path for Cloud Architect

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.

See salaries and explore the career path for DevOps 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.

See salaries and explore the career path for Data Engineer

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.

See salaries and explore the career path for Data Analyst

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.

See salaries and explore the career path for Systems Engineer

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.