DevOps & Cloud

Migration to the cloud and infrastructure monitoring

Leader in Telecommunications and Entertainment reduces its support costs by 30% by migrating its local infrastructure application to AWS.

About the client

Latin American communications services brand. The company has about 262 million wireless clients, 30 million fixed lines, 17 million broadband accesses, and 16 million cable TV subscribers. It also has an online subscription and rental service that provides access to the best films, series, documentaries and concerts. Their customers can access to view this content around the world whenever they want. They provide subscriptions in: Argentina, Chile, Brazil, Colombia, Panama and Mexico.


Cloud Migration

Different components issues on Claro Video infrastructure caused video streaming service unavailability that affected the customer experience. Engineering team spending long times to identify root causes.

Infrastructure Monitoring

The company in Argentina had implemented Zabbix, as a monitoring and control tool for different aspects of its infrastructure, applications and business processes. The lack of specific experience and in-depth knowledge of the tool led to an under-use of the product. In other words, it did not provide process optimization, because the best practices recommended for this type of facilities were not taken into consideration in the deployment.

Cloud Services Solution

Implemented infrastructure monitoring solution designed for the client’s platform needs. Shifted from a reactive to a proactive observability system model.

Monitoring Services Solution

A survey of the current infrastructure was carried out, recommending to reengineer the infrastructure that was deployed, and applying good practices such as: distributed monitoring, partitioning of the database and layered architecture, among others.
With this change, it was possible to generate the automation of manual processes reducing manual work by 40%.


Drastically reduced platform downtime by 70%, and increased response time to their customers by 50% while lowering support costs by 30%.


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