Introduction
In 2024–2025, enterprises continue to deepen their reliance on Google Cloud Platform (GCP) as a core part of their cloud or multi-cloud infrastructure. Whether building new cloud-native architectures or refining existing deployments, companies are prioritizing cost control, resource efficiency, and FinOps practices. This article examines several previously unhighlighted GCP success stories, detailing how these companies are achieving measurable cloud cost savings while scaling their operations.
Shopify: Cost-efficient scaling for millions of merchants
Challenge: Shopify needed to manage unpredictable traffic spikes from millions of merchants without overprovisioning and driving up infrastructure costs.
Solution: In 2024, the company migrated key VM-based workloads to Google Kubernetes Engine (GKE), adopted committed use discounts (CUDs), and launched internal FinOps dashboards to enhance cost awareness among engineers.
Outcome: Shopify achieved up to 30% savings on specific workloads and empowered teams to act on cost anomalies in real-time.
Twitter/X: Optimization through sustained use and AI workload management
Challenge: As Twitter expanded into broader services under the X brand, its AI and analytics workloads on GCP became expensive and difficult to scale efficiently.
Solution: In 2025, the engineering team introduced BigQuery flex slots for on-demand cost control, applied sustained use discounts, and migrated cold data to Archive Storage. Storage volumes were also rightsized, and idle resources were removed.
Outcome: Twitter has significantly reduced its cloud expenses for analytics and machine learning (ML) workloads, resulting in annual savings of millions of dollars.
Snap Inc.: Data pipeline and storage optimization
Challenge: Snap’s real-time data analytics pipeline consumed extensive compute and storage resources, resulting in high GCP costs for data movement and storage classes.
Solution: In 2024, the team redesigned the data flow to utilize Eventarc instead of Pub/Sub for specific workloads, enforced IAM policies to restrict unnecessary resource usage, and tiered object storage for improved cost efficiency.
Outcome: Snap Inc., the company behind Snapchat, achieved a 20% reduction in data operations costs and improved visibility into developer cloud usage.
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Wix: Leveraging GCP native recommendations and custom alerts
Challenge: With a growing infrastructure footprint, Wix needed a way to eliminate cloud waste and manage overprovisioned resources on Google Cloud Platform (GCP).
Solution: Wix adopted the GCP Recommender API to automate VM rightsizing, schedule shutdowns for idle instances, and clean up unattached persistent disks across environments. Custom alerts were used to flag overspending in real time.
Outcome: Wix realized consistent month-over-month cloud cost savings and improved engineering accountability.
Etsy: Cloud сost governance across teams
Challenge: Etsy’s engineering teams struggled with decentralized cloud spending, lacking visibility and cost control in their multi-cloud environment.
Solution: The company integrated GCP billing data into a unified FinOps system, created detailed budget alerts, and prioritized preemptible virtual machines (VMs) as applicable.
Outcome:
Etsy achieved $2 million+ in annualized cloud savings and strengthened internal buy-in for multi-cloud cost governance practices.
Quick recap: 2024-2025 GCP cost optimization results
Shopify: 30% savings on containerized workloads
Twitter: Lowered AI workload costs via flex slots
Snap: 20% reduction through storage tiering
Wix: Saved by using Recommender API
Etsy: $ 2 M+ in annualized savings via preemptible VMs
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Conclusion: How Hystax helps you optimize GCP usage
As demonstrated by these forward-thinking organizations, strategic cloud cost optimization on Google Cloud Platform is not only possible but also essential for long-term scalability and competitiveness.
Hystax provides an OptScale solution to help companies reduce their GCP expenses and enhance resource utilization.
With:
- Hundreds of pre-built cost optimization scenarios
- Complete transparency into cloud usage and spend
- Smart recommendation engines for VM rightsizing, storage tiering, and scaling
- Cross-team collaboration tools aligned with FinOps best practices
Hystax empowers businesses to take control of their cloud budgets and turn cost savings into a competitive edge.
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