DevOps & App Evolution • Telecommunications • AWS
Telecommunications modernization with AWS technologies
A leading telecommunications company modernizes its applications to respond more quickly and agilely to market changes.
About the client
It is a telecommunications company operating in Argentina, Paraguay, and Uruguay.
It provides national and international fixed-line telephony, public telephony, Direct Inward Dialing (DID), Centrex, point-to-point lines, 0800 and 0810 services, telecenters, and single-channel services.
Needs
The client needed to meet a demand for modernization and data and resource migration to the cloud, which required having skilled talents in cloud architecture (AWS, GCP, and Azure), as well as experience in DevOps and application modernization. These talents are currently scarce in the market.
Solution
Nubiral, along with AWS Professional Services, assembled a team of architects, engineers, and DevOps to assist Telecom in implementing cloud projects on time.
Additionally, the necessary talent was provided to execute IoT projects in the cloud, implement MLOps, and support product development.
Results
The operator’s productivity increased.
The time to market for applications and solutions was achieved as planned in a challenging environment.
Case Study Data & Innovation
Implementation of MongoDB Cluster + Support + Training
The client in the banking industry required the implementation of a robust database solution.
Case Study Hybrid Multi Cloud
Application modernization by migrating to the AWS cloud
Migration to the AWS Cloud at Telecom Argentina, modernizing obsolete applications with a focus on operational excellence.
Case Study DevOps & APP Evolution
Migration of CI/CD to Github
Migration and Configuration of GitHub Enterprise Server for a major financial group, focused on modernizing its on-premise CI/CD structure.
Case Study Monitoring & Intelligence
Implementation of OpenSearch
One of the leading banks in Chile utilizes the most advanced AWS services to work on the ingestion, storage, detection, and predictive models of data from cybersecurity intelligence sources.