Case Study
Auto-Scaling Platform
Development of an autoscaling solution customized for Unión Alcoyana’s platform, addressing its resource demands, user behavior patterns, and projected high growth.
DETAILS
Company name: Unión Alcoyana
Tasks to Achieve Automatic Platform Scaling
- Design of pipeline to deploy App.
- Design and deployment of auto-scaling platform.
- Integration with external data platforms.
- Machine Learning development environment.
- Migration of databases to the cloud.
- Networking platform.
Challenge
Unión Alcoyana aimed to guarantee the availability of its service to customers, employees and mediators with the deployment of an auto-scalable platform that adapts to traffic peaks, high availability, security and regulation.
Solution
Deployment of an auto-scalable platform in the aws cloud and the incorporation of process automation. With this, Unión Alcoyana managed to improve the efficiency of its organization with better time management and cost reduction. For the development of this project we have used Cloud solutions and technologies that are characterized by the quality and quantity of information processed, management control tools, e-business integration and rapid adaptation to change.
- Deployment of an auto-scaling platform on aws, integrated with external data platforms and ML.
- Highly available and scalable system, reducing downtime and deployment costs.
- Integration with other Machine Learning and data mining services, now used to build a data lake.
Principal Solutions
Machine learning technology is applied to implement two key solutions: business process automation and predictive analytics.
In the context of business process automation, machine learning streamlines systems, reduces errors, accelerates delivery times, enhances quality, lowers costs, and simplifies business operations. This is achieved by integrating software tools, human expertise, and optimized processes into automated workflows.
Extending descriptive and diagnostic analytics to predictive analytics by adding statistical models.
- Add more data sources and facilitate their access.
- Automate the exploitation of data sources to execute statistical models.
Excellent service and service to enhance our business.
Cloud Levante is our trusted partner in the cloud environment since its inception and we are very pleased that they are at our side. When we talk to them, it’s like we’re talking to the cloud manufacturer directly. With Victor and his team, you can rest easy because they meet expectations. They are always available to offer your support and knowledge. In addition, they have a very proactive attitude to be very dynamic in their technological recycling, being very attentive to new trends and giving answers to any challenge.
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