How Does the Cloud Save Money | Enteros
Migration of on-premises databases to the cloud is usually touted as a cost-cutting solution—after all, how does one not save cash because you do not need to manage that entire infrastructure? Nevertheless, many IT experts are discovering that the cloud might not offer the value reductions they’d hoped for. Software license prices, varied rates for extra Processor and space overage fees, and also the frequent risk of overflowing the general public cloud tier are all still present.
Understanding your data workload completely
You should really be able to make an informed decision based on complete awareness of your DB workloads, regardless of whatever cloud provider you choose, such as Amazon (AWS), Microsoft Azure, or Oracle Public Cloud. Some of them may not perform as well on the cloud, making the expense of migration unjustifiable. Others, such as seasonality loads or discharge reporting, may profit from the arrow’s quick scalability.
Pre-Migration
Standard testing and quality control on both actual and virtual loads before migration is one technique to gather reliable data. You’ll be able to right-size your cloud service tier based on the results and identify which datasets will benefit from migrating.
At this stage, you compare the performance of a system against one that runs within the cloud. Baseline Machine, which is included with Toad for Mysql DBA and Programmer Editions, is wont to produce load and run the identical manufacturing test across both systems. Remember that for a correct comparison, the records must be similar.
Proper monitoring of a real on-premises system and an analogous system operating within the cloud, additionally to a simulated load, could be a smart idea. during this case, As user load grows, the straightforward apple company comparison exposes any major variations across on again and internet systems.
Testing after migration
Of course, after the cloud transfer, you’ll be wanting to stay a watch on query execution. Baseline Factory may additionally be wont to playback recorded workloads to test if executing them within the clouds has improved or diminished performance.
Database migration to the cloud isn’t a panacea. apart from the vulnerabilities of outage and data loss, there’s also the business liability of a performance-cost mismatch. Enteros provides a toolset that professionally provides video to you the knowledge you wish to work out if the cloud is really saving you money.
About Enteros
Enteros offers a patented database performance management SaaS platform. It proactively identifies root causes of complex business-impacting database scalability and performance issues across a growing number of RDBMS, NoSQL, and machine learning database platforms.
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.
Are you interested in writing for Enteros’ Blog? Please send us a pitch!
RELATED POSTS
Revolutionizing the Fashion Sector: How Enteros Leverages Generative AI and AI Performance Management to Optimize SaaS Database Efficiency
- 5 November 2025
- Database Performance Management
Introduction The global fashion industry has always been a beacon of creativity, speed, and transformation. From runway collections to e-commerce platforms, the sector thrives on rapid innovation and data-driven decision-making. In today’s digital-first world, fashion enterprises—from luxury retailers to fast-fashion brands—are evolving into technology-driven organizations, heavily dependent on SaaS platforms, AI tools, and cloud databases … Continue reading “Revolutionizing the Fashion Sector: How Enteros Leverages Generative AI and AI Performance Management to Optimize SaaS Database Efficiency”
Driving Financial Sector RevOps Efficiency: How Enteros Unites Database Performance Optimization and Cloud FinOps Intelligence
Introduction In the fast-evolving financial sector, success hinges on agility, precision, and performance. Financial institutions—banks, investment firms, fintech innovators, and insurance providers—depend on massive volumes of transactional and analytical data processed across complex, distributed systems. Yet, as these organizations modernize operations through cloud computing, AI, and automation, new challenges have emerged: escalating cloud costs, unpredictable … Continue reading “Driving Financial Sector RevOps Efficiency: How Enteros Unites Database Performance Optimization and Cloud FinOps Intelligence”
Empowering the Cloud Center of Excellence: How Enteros Uses Generative AI for Real-Time Monitoring and Performance Optimization in the Technology Sector
- 4 November 2025
- Database Performance Management
Introduction In the era of digital transformation, the technology sector stands at the forefront of innovation, harnessing cloud computing, artificial intelligence, and big data to drive performance and efficiency. However, as cloud infrastructures scale in size and complexity, managing performance, resource allocation, and cost optimization becomes increasingly challenging. Enter the Cloud Center of Excellence (CCoE) … Continue reading “Empowering the Cloud Center of Excellence: How Enteros Uses Generative AI for Real-Time Monitoring and Performance Optimization in the Technology Sector”
AI SQL Meets Healthcare Innovation: Enteros’ Breakthrough in Database Performance Optimization
Introduction In the modern healthcare landscape, data has become both a vital asset and a formidable challenge. Hospitals, research institutions, and digital health startups generate and process massive amounts of data—from patient records and clinical trial results to real-time monitoring devices and medical imaging. Yet, the performance of these complex data ecosystems often determines how … Continue reading “AI SQL Meets Healthcare Innovation: Enteros’ Breakthrough in Database Performance Optimization”