Introduction
As digital transformation continues to reshape the real estate industry, technology leaders are increasingly adopting cloud platforms to drive efficiency, scalability, and innovation. With this shift comes the challenge of managing growing infrastructure costs—particularly in complex environments where resource consumption is unpredictable. One area where substantial cost savings can be achieved is through the strategic use of Reserved Instances (RIs). However, managing RIs effectively requires more than just purchasing discounted capacity; it requires intelligent analysis, forecasting, and alignment across finance and IT operations.
Enteros, a patented AI-powered platform for database performance and cloud cost optimization, offers powerful capabilities that support cost-effective cloud strategies in the real estate sector. With its advanced statistical learning algorithms, Enteros enables organizations to monitor performance, optimize Reserved Instance usage, and implement Cloud FinOps practices tailored to dynamic workloads.
This blog explores how Enteros helps real estate companies align cloud spending with business objectives through accurate performance monitoring, cost attribution, and RI management within a Cloud FinOps framework.
Understanding Reserved Instances and Their Relevance
Reserved Instances are a pricing option offered by major cloud providers like AWS, Azure, and Google Cloud that allow organizations to commit to using certain compute resources for a fixed term—typically one or three years—in exchange for significant cost savings. Compared to on-demand instances, RIs can reduce cloud costs by up to 70 percent when utilized properly.
However, RIs come with challenges:
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Commitments must be planned based on forecasted workloads.
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Misalignment between RI purchases and actual usage leads to underutilization.
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Managing RIs across multiple teams, applications, and departments is complex.
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Visibility into which workloads benefit from RIs is often limited.
In the real estate sector, where companies run varied workloads—from online property listings and CRM systems to AI-driven analytics and IoT-based building management—RI strategy becomes even more critical to maintaining cost-effective operations.
The Role of Enteros in Managing Cloud Costs and RIs
Enteros empowers real estate organizations to make data-driven decisions about Reserved Instances through a combination of database performance management, observability, and intelligent cost analysis.
1. Workload Performance Monitoring
Enteros continuously scans thousands of performance metrics across diverse database environments, helping organizations understand usage trends, peak demand periods, and application behavior. This insight is crucial for determining which workloads are consistent and predictable—making them ideal candidates for RIs—and which are better suited for spot or on-demand instances.
For example, a real estate portal may experience consistent usage for its listing search engine during business hours. Enteros identifies this stability, making it easier to confidently reserve resources for that workload.
2. Predictive Resource Forecasting
Using statistical learning models, Enteros forecasts future infrastructure demand based on historical patterns and seasonal trends. This is particularly valuable for companies with cyclical business activities, such as leasing cycles or seasonal market fluctuations in real estate.
Forecasting allows IT and finance teams to make proactive RI purchases, reducing reliance on reactive purchasing at higher on-demand prices.
3. Cross-Environment Cost Attribution
Enteros not only monitors performance but also attributes cloud costs across departments, applications, or geographic regions. In the real estate sector, this is important because many companies operate across multiple markets and teams.
By accurately associating infrastructure usage with specific business units or projects, Enteros enables cost accountability. Finance teams can analyze how each team’s usage affects the bottom line, and whether RI allocations are being maximized.
4. Real-Time RI Utilization Tracking
Enteros offers detailed visibility into RI utilization in real time. Organizations can monitor which instances are consuming reserved capacity, identify gaps in utilization, and reallocate workloads as needed. Underutilized RIs can be flagged, and surplus capacity can be sold or modified when allowed by cloud providers.
For example, if one division is not fully using its reserved capacity, Enteros can recommend shifting compatible workloads from other divisions to prevent waste.
5. Cloud FinOps Enablement
Cloud FinOps brings finance, engineering, and operations teams together to optimize cloud spending. Enteros supports FinOps maturity by providing:
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Dashboards for engineering and finance collaboration
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Alerts for cost anomalies or RI underutilization
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Usage trend analysis for better budgeting and forecasting
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Chargeback and showback capabilities to increase ownership and accountability
In the real estate sector, where ROI on digital infrastructure investments is crucial, FinOps practices backed by Enteros ensure that cloud costs are always aligned with business goals.
6. Centralized Observability and Reporting
Enteros provides centralized reporting that unites performance, cost, and usage data in a single interface. This is particularly helpful for CIOs and CFOs who need to make strategic decisions across portfolio companies, brands, or franchises.
For instance, a real estate firm operating in both commercial and residential spaces can track RI performance across those segments and adjust procurement strategies accordingly.
Use Case: A Real Estate Conglomerate’s RI Optimization Journey
A multinational real estate company was experiencing uncontrolled cloud spending due to fragmented infrastructure decisions across its global business units. RIs had been purchased based on outdated estimates and lacked a centralized usage strategy.
After deploying Enteros, the company achieved the following:
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Identified 35 percent of RIs that were underutilized or misaligned with actual workloads
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Reassigned RIs to high-usage workloads through workload shifting recommendations
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Implemented accurate forecasting that enabled better RI purchases for upcoming quarters
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Rolled out cost attribution dashboards to finance and business units for improved accountability
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Saved over $500,000 in annual cloud spend while improving application performance across multiple client-facing platforms
Benefits of Using Enteros for RI Strategy in Real Estate
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Increased ROI on cloud investments by maximizing RI usage
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Reduced waste from idle or misaligned reserved resources
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Improved budgeting accuracy with workload forecasting
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Enhanced transparency in cost allocation across business units
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Faster identification of optimization opportunities
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Stronger alignment between IT, finance, and business objectives
Frequently Asked Questions (FAQs)
What cloud platforms does Enteros support for RI tracking?
Enteros supports major cloud platforms including AWS, Microsoft Azure, and Google Cloud Platform. It integrates with their native billing and usage APIs to analyze Reserved Instance performance.
Can Enteros recommend which workloads are suitable for RIs?
Yes. Enteros identifies stable, predictable workloads by analyzing long-term usage trends. It flags workloads that are consistent in performance and resource demand, making them suitable for Reserved Instance coverage.
Does Enteros allow chargeback or showback reporting for RI usage?
Yes. Enteros attributes costs—including RI consumption—at a granular level. This supports chargeback or showback models where departments or projects are held accountable for infrastructure costs.
How does Enteros help with underutilized RIs?
Enteros detects underutilized RIs and recommends reallocating compatible workloads or modifying RI commitments. This prevents waste and improves overall cloud cost efficiency.
What level of detail does Enteros provide in its reports?
Enteros provides detailed insights into instance type usage, regional distributions, time-based utilization, and cost trends. Reports can be customized for executive summaries, technical deep-dives, or department-level analysis.
Is Enteros suitable for organizations with hybrid or multi-cloud environments?
Yes. Enteros is built for complex infrastructures and provides unified visibility across cloud providers and on-prem environments, making it ideal for hybrid or multi-cloud strategies.
How quickly can Enteros be implemented?
Deployment time varies based on environment complexity, but most organizations begin seeing actionable insights within days to a few weeks after initial setup.
Can Enteros help with overall cloud budget forecasting?
Yes. Enteros uses predictive analytics to forecast future infrastructure demand and associated costs, supporting accurate budgeting and procurement planning.
The views expressed on this blog are those of the author and do not necessarily reflect the opinions of Enteros Inc. This blog may contain links to the content of third-party sites. By providing such links, Enteros Inc. does not adopt, guarantee, approve, or endorse the information, views, or products available on such sites.
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