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Successive-ACL-Case-Study

Objective

ACL aimed to develop highly available and secure world-class solutions for its business model of WhatsApp Traffic Analyser Application and wanted to move application & infrastructure workload on cloud to support the modern business requirements and enhance customer value.

Challenges

Automating the repetitive tasks in traditional infrastructure was the biggest challenge to frame the new business ideas for an expansion of WhatsApp analyzer application. Also, it was taking a huge volume of time to meet the growing demand of the end users while keeping intact all business-critical operations of the legacy system.

Solutions and Outcomes

Successive migrated on-premises infrastructure on AWS cloud platform to enable the client to reduce their capacity to half and minimize administrative efforts and implemented DevOps with CI/CD pipeline to ensure the faster deployment and stabilize work environment. Cloud-native solutions are leveraged like Kubernetes, Dockers, Prometheus, Grafana, Ubuntu, Redhat and Centos machines with MySQL, MongoDB and Redis to setup cluster and database for ensuring high availability, scalability, agility, scalability, fault tolerance and performance.

Technology Stack

React, Redux, Express.js, Node.js, Nginx, MongoDB, MySQL, Redis Cache, RabbitMQ, Redhat, Kubernetes, Docker, Prometheus and Grafana.

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