Tech Tools
Google Cloud (GCP)
Costtrail summarizes the month-to-date usage highlights and optimization opportunities, providing actionable insights for cost savings and resource optimization.
Google Cloud (GCP)
GCP offers a range of features and best practices to help you manage and optimize your database costs. By leveraging these tools, you can ensure efficient use of resources and maintain control over your spending.
GCP Pricing Models:
Pay per second without any long-term commitment, making it suitable for applications with variable usage patterns. With On-Demand Instances, you are charged only for the compute time you use, allowing for flexibility and ease of scaling.
Commit to using a certain amount of resources for 1 or 3 years and enjoy significant discounts, up to 57% off compared to On-Demand pricing. This option is ideal for predictable workloads where long-term usage can be anticipated.
Run short-duration jobs and fault-tolerant workloads at a substantially reduced cost, typically up to 80% cheaper than On-Demand pricing. Preemptible VMs provide access to excess Compute Engine capacity and are perfect for batch processing and data analysis tasks that can handle interruptions.
Consolidation
Benefit from Consolidated
Insights with Comprehensive Dashboards
Access a unified view of your GCP spending through comprehensive dashboards. Review key cost metrics, including month-to-date expenses, month-end forecasted costs, and saved reports, to stay on top of your cloud expenses.
Automated Trend Analysis
GCP’s automated trend
GCP’s automated trend analysis helps you spot anomalous cost and usage events by analyzing historical data patterns. This enables you to identify unusual spending and optimize resource allocation efficiently.
Optimized User Experience
Enjoy a streamlined
Enjoy a streamlined user experience designed to accommodate all levels of expertise within your organization. Quickly onboard and effectively use Google Cloud’s cost management tools to handle a wide range of cost control requirements.
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GCP Success Metrics
- Average Daily Spend ($)
- Monthly Forecast vs Actual ($)
- Untagged Resources ($)
- Turned Off Instances (%)
- CUD Coverage and Utilization (%)
- Saved Costs ($)
- Underutilized Resources (#)
- Cost per User or Transaction ($)
- Cost per Impression or Click ($)
- Cost per Request ($)
- Cost per Application Unit ($)
- Cost per Revenue ($)
- Cost per Developer ($)
- Hours per Dollar Invested (#)
GCP Compute Engine CUD Range for savings
- payment Option - No Upfront, Partial Upfront, All Upfront
- Duration - 1 year or 3 year
- Operating System - Linux, Non- Linux
- Instance Type - Old Generation, New Generation
- Type - Convertible, Standard
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