Jun 18, 2025

Best practices for data protection Google Cloud provides foundational capabilities to protect your data if you configure and use them consistently. Here's how to maximize native protection: 1. Versioning and retention: first lines of defense Enable Object Versioning in Cloud Storage to retain multiple object versions, making it easier to recover from accidental deletions. Pair this with Retention Policies to enforce minimum storage lifetimes for regulatory or critical datasets. Tip: Use Bucket Lock for write-once-read-many (WORM) protection in the areas where compliance matters most. 2. Monitor for gaps in coverage Use native services like Cloud SQL backups, GKE snapshots, and Persistent Disk images, but be mindful that backup responsibilities can fall to different teams. Without centralized visibility, coverage becomes inconsistent. Tip: Use Cloud Asset Inventory or scheduled BigQuery queries to audit coverage. 3. Design for granular recovery Plan for partial restores since not everything needs a full rollback. Whether it's a single BigQuery table or a specific Cloud Storage object, restoring only what you need saves time and cost. Tip: Use Object Lifecycle Management to automatically transition older or less critical Cloud Storage objects to colder storage classes. Automating the complexity away Managing cloud backup at scale is hard to do manually. From onboarding new workloads to applying consistent policies, human-led approaches don’t scale well. That’s why more teams are exploring autonomous Cloud Backup Posture Management (CBPM) solutions, like Eon, that detect new assets in real time, apply smart backup rules automatically, and enforce consistent protection across environments. With Eon, you don’t have to tag resources or write custom scripts. Our platform classifies and protects your Google Cloud assets out of the box—whether you're working with GKE, Cloud SQL, BigQuery, or another solution. From backups to business insights Traditionally, backup data was siloed, underused, and only meant to be retrieved in emergencies. But, increasingly, teams are unlocking that data to: Run analysis directly on backups using BigQuery and Dataproc, Feed training and monitoring pipelines via Vertex AI, Deliver audit-ready dashboards with Looker, powered by backup snapshots. With Eon, this is built-in. We transform backups into zero-ETL data lakes that reduce pipeline costs and provide immediate access to structured data with no reprocessing required. What a “mature” backup posture looks like The end goal for many cloud-native teams is not just to “have backups.” It’s to develop a resilient, intelligent backup strategy that adapts to scale and risk. Here’s what that looks like: Automated discovery of new resources Policy-driven protection tailored to data type and criticality Immutable backups with time-locked retention Search-first recovery instead of full snapshot restores Cost-aware tiering and storage deduplication Eon helps Google Cloud users reach this level of maturity faster without the burden of custom tooling or constant policy updates. Ready to simplify backup? If your team spends hours managing scripts, storage tiers, or backup tags across cloud environments, it may be time to rethink your approach. Eon was built to make cloud backup resilient, autonomous, and actually useful. From ransomware protection to instant, object-level recovery—and now, zero-ETL access to analytics—we’re here to help you unlock the full potential of your backup data. Book a demo to see how Eon can modernize your Google Cloud data protection strategy. To discover how Google Cloud can support your startup, visit our program page . You can also sign up for our newsletter to stay informed about community activities, digital events, special offers, and more. Posted in