Full Report
Splunk and Google Cloud customers, this one’s for you: The first Hands-on-Lab of Splunk on Google Cloud is now live and ready for enrollees. If you haven’t tried it yet, Google Cloud Skills Boost provides hands-on educational experiences so you can learn what you need to know about operating in the cloud. Labs from Google Cloud Skills Boost give users more than just a sandbox environment — they offer live Google Cloud projects for truly interactive learning. Users get to pick experiences ranging from short, 30-minute labs all the way up to multi-day quests to help them tailor learning to their specific needs. Splunk offerings on Google Cloud Platform (GCP) provide rich capabilities that cover a broad set of security scenarios, including end-to-end visibility across cloud, on-premises, and hybrid environments. Using Splunk on GCP, you can gain real-time visibility across Google Cloud events, logs, performance metrics, and billing data. Splunk also enables fast security investigations, alerting, and deeper forensic analysis to accelerate incident resolution. You can better build your security infrastructure using Splunk Phantom Apps for Google Vault, Google Workspace, Google Workspace for Gmail, and Safe Browsing. Now, the “Getting Started with Splunk Cloud Getting Data In (GDI) on Google Cloud” hands-on-lab is available to take you through core scenarios for data ingestion and data input in Google Cloud, enabling you to get practical, hands-on experience for all scenarios in just 90 minutes or less.With this hands-on-lab, you’ll learn how to get streaming data from your Google Cloud environment into Splunk Cloud so your organization can leverage Splunk’s Data-to-Everything platform. The lab guides users through the installation of key Splunk components that enable you to stream data into Splunk Cloud platform:Splunk Add-on for Google Cloud Platform HTTP Event Collectors (HECs) The lab also guides you through managing the following Google Cloud resources:Log SinksCloud Storage bucketsPub/Sub topics and subscriptionsDataflow pipelinesAs you begin the lab, you’ll launch a Dataflow job using the Splunk-specific template, configure the data inputs in Technical Add-on for Google Cloud Platform, perform sample Splunk searches across ingested data, and monitor and troubleshoot Dataflow pipelines. This enables Splunk admins to collect, analyze, and extract insights from all of your Google Cloud data in an easy-to-use and powerful way. Below is an architecture diagram showing the principal components and the API relationship used in the lab. In addition to Dataflow-based ingestion for Splunk, you’ll practice with Pub/Sub and K8s connector, as well as pulling data using Splunk Add-on for GCP. This hands-on-lab provides a full-stack practice experience with Splunk on Google Cloud as part of data ingestion and processing. If you’re interested in getting started, please follow the guide here:Getting Started with Splunk Cloud GDI on Google Cloud Looking Ahead with GCP and Splunk Stay tuned for the next Google Cloud and Splunk hands-on lab announcement, and in the meantime, check out our official Getting Data In (GDI) guide to learn about the integration after completing the lab. To take a step further and learn more about automating the process, take a look at our export Terraform module with Splunk. Related Article Introducing Dataflow template to stream data to Splunk Learn how to set up a streaming pipeline for Google Cloud data into Splunk Cloud or Enterprise with this new Pub/Sub to Splunk Dataflow t... Read Article
Analysis Summary
# Best Practices: Splunk Ingestion on Google Cloud Platform (GCP)
## Overview
These practices address the secure and scalable ingestion of GCP telemetry (logs, events, metrics) into Splunk Cloud. Implementing these ensures end-to-end visibility across hybrid environments, enabling rapid incident response, forensic analysis, and continuous security monitoring.
## Key Recommendations
### Immediate Actions
1. **Enable Centralized Logging:** Configure Google Cloud **Log Sinks** to capture critical events across all relevant projects.
2. **Activate HTTP Event Collector (HEC):** Configure HEC tokens in Splunk Cloud to establish a secure endpoint for receiving streaming data from GCP.
3. **Install the Splunk Add-on for GCP:** Deploy the official add-on to your Splunk environment to provide the necessary knowledge objects and CIM (Common Information Model) mapping for Google Cloud data.
### Short-term Improvements (1-3 months)
1. **Deploy Dataflow Templates:** Use the Splunk-specific Google Dataflow template to create scalable, serverless pipelines that stream data from Pub/Sub to Splunk.
2. **Integrate Security Apps:** Implement Splunk Phantom Apps for **Google Workspace**, **Google Vault**, and **Safe Browsing** to automate response actions and enhance threat intelligence.
3. **Establish Monitoring for Pipelines:** Set up dashboards to monitor the health of Dataflow pipelines and Pub/Sub subscription backlogs to ensure no security telemetry is lost.
### Long-term Strategy (3+ months)
1. **Infrastructure as Code (IaC):** Transition to using the **Terraform module for Splunk log export** to standardize and automate the deployment of logging infrastructure across the organization.
2. **Full-Stack Visibility:** Expand ingestion to include Kubernetes (GKE) connectors and billing data to correlate security events with resource utilization and potential unauthorized cryptomining.
3. **Advanced Forensics:** Develop playbooks for deeper forensic analysis using ingested Google Cloud events and performance metrics.
## Implementation Guidance
### For Small Organizations
- Use the **Splunk Add-on for GCP** to pull data directly from Cloud Storage buckets or Pub/Sub via modular inputs; this minimizes infrastructure management overhead.
- Focus on critical logs: IAM changes, Admin Activity, and high-severity Cloud Storage events.
### For Medium Organizations
- Transition to the **Dataflow-based streaming architecture** to handle larger volumes of data without manual scaling.
- Implement **Log Sinks** at the Folder level to aggregate data from multiple projects into a single Pub/Sub topic.
### For Large Enterprises
- Utilize **Terraform** to manage complex, multi-project logging environments.
- Deploy a distributed architecture using **multiple HECs** and Load Balancers to ensure high availability and high throughput for global telemetry.
- Integrate with **Google Workspace for Gmail** security logs for comprehensive phishing and insider threat detection.
## Configuration Examples
### Streaming Pipeline Components
To implement the recommended streaming architecture, configure the following resources in order:
1. **Log Sink:** `Filter: resource.type="gce_instance" AND severity>=ERROR` -> `Destination: Pub/Sub Topic`.
2. **Pub/Sub:** Create a Topic (e.g., `splunk-log-export`) and a Pull Subscription.
3. **Dataflow:** Launch a job using the template `Cloud Pub/Sub to Splunk`.
- *Required Parameters:* HEC Token, HEC URL, and the Pub/Sub Subscription name.
## Compliance Alignment
- **NIST SP 800-53:** Supports AU (Audit and Accountability) controls by ensuring immutable log storage and centralized analysis.
- **ISO/IEC 27001:** Aligns with A.12.4 (Logging and Monitoring) by providing real-time visibility and alerting.
- **CIS Google Cloud Computing Platform Benchmark:** Facilitates monitoring of critical IAM and networking configuration changes.
## Common Pitfalls to Avoid
- **Insecure HEC Tokens:** Avoid hardcoding HEC tokens in scripts; use Secret Manager for Dataflow job parameters.
- **Missing Data Mapping:** Ensure the Splunk Add-on for GCP is properly configured, or data will remain "unstructured," hindering search speed and forensic value.
- **High Egress Costs:** Be mindful of data volume; use Log Sink filters to exclude low-value "noisy" logs (e.g., frequent routine system checks) before they leave GCP.
## Resources
- **Hands-on Lab:** [Google Cloud Skills Boost - Splunk GDI Lab](https://www.cloudskillsboost.google/focuses/25903)
- **Infrastructure Code:** [Terraform Module for Splunk Log Export](https://github[.]com/GoogleCloudPlatform/terraform-splunk-log-export)
- **Official Documentation:** [Splunk Add-on for GCP - Splunkbase](https://splunkbase[.]splunk[.]com/app/3088/)
- **Technical Guide:** [Deploying Production-Ready Log Exports to Splunk](https://cloud[.]google[.]com/architecture/deploying-production-ready-log-exports-to-splunk-using-dataflow)