Case Studies

We lead the design, build, and installation of IBM Liberty Servers and WebSphere Application Servers on the bank’s private cloud. With an emphasis on automation, we spearheaded the implementation of Ansible and Puppet to streamline the process from start to finish. This project enabled the bank’s internal clients to deploy applications with a single click, creating a highly cost-effective and efficient solution.

The work involved meticulous planning and coordination with multiple stakeholders, ensuring every phase aligned with the bank’s security and operational standards. By leveraging cutting-edge automation tools, we enhanced the deployment process for hundreds of servers, providing them with a robust, scalable solution that optimised resource utilisation in its private cloud environment.

The automated deployment process drastically reduced setup times and increased operational efficiency across the bank’s IT infrastructure. They gained a scalable, single-click deployment system that lowered operational costs and empowered internal teams with faster, more flexible access to cloud resources.

• Automated server setup and deployment, reducing manual effort and errors
• Cost-effective, scalable solution for the private cloud environment
• Single-click deployment enabled enhanced efficiency and faster service delivery 

We were instrumental in the delivery of our client’s Strategic Customer Experience Platform (SCEP), using Adobe Experience Manager. The SCEP aimed to streamline and enhance the bank’s customer experience management capabilities. We played a pivotal role in setting up a production-ready, load-balanced, highly available, and fault-tolerant infrastructure, ensuring the platform’s reliability and performance.

The project required an in-depth setup of an on-premises infrastructure designed to handle high traffic and provide robust fault tolerance. Additionally, we orchestrated the migration from a shared on-premises cluster to a dedicated Kubernetes cluster tailored for SCEP, enabling greater resource efficiency and enhanced performance. This migration was executed seamlessly, with minimal downtime, to ensure uninterrupted service for the bank’s customer-facing platforms.

The new dedicated cluster improved infrastructure efficiency and reliability for the bank, supporting their SCEP with a resilient, scalable foundation. This transformation not only optimised resource allocation but also empowered them to enhance customer experience with a powerful, responsive platform.

• High availability and fault-tolerant infrastructure for optimal reliability
• Dedicated Kubernetes cluster for improved resource efficiency
• Seamless migration with minimal downtime, ensuring uninterrupted customer experience 

In the role of Infrastructure Enablement Manager we supported our client’s ambitious transition to renewable energy by developing applications with machine learning capabilities. These applications, built in Python, were designed to help address the rapidly growing demand for EV charging stations while maintaining stability in the existing power distribution network.

We worked closely with the in-house team to create an intelligent application that provides real-time insights into energy availability at each EV charging station. This application allows business customers to assess how much energy will be accessible at any given time, helping them plan effectively and avoid potential disruptions to the power grid. Using predictive algorithms, the application also forecasts load demands at specific charging stations, giving our client a powerful tool to manage resources as they scale up charging infrastructure.

The application has become a critical asset in the company’s renewable energy strategy, providing insights that support the seamless expansion of EV charging facilities. By predicting energy availability and demand at each station, they can optimise its power distribution, reducing the risk of overloads and ensuring a smooth, reliable service for EV drivers.

• Real-time energy availability insights for business customers
• Predictive load demand capabilities to prevent power distribution issues
• A scalable solution that supports renewable energy and EV growth strategy 

Working for this government department, we played a key role in driving the migration to AWS cloud, a transformative step for their IT infrastructure. The primary focus was to create robust cloud monitoring solutions that could capture performance data in real-time, ensuring they could track essential cloud metrics continuously.

We designed and implemented a comprehensive cloud monitoring system, leveraging tools like Grafana, Dynatrace, and Kibana to provide real-time insights into performance, resource allocation, network availability, and other key metrics. These tools allowed us to automatically track critical KPIs, which streamlined performance management and helped prevent potential issues before they could impact government services.

In addition to cloud monitoring, we led the design and development of new digital services for the department essential to the rural support and payment systems. This work required ensuring that the current systems—vital for the functioning of rural support—remained reliable and secure throughout the transition, while also enhancing their digital capabilities to better serve the public.

The AWS cloud migration and monitoring solution provided our client with a secure, efficient, and scalable infrastructure. The real-time monitoring capabilities have increased system visibility, while the new digital services have strengthened rural payment support, reinforcing the government’s commitment to secure and reliable public services.

• Real-time cloud performance monitoring with automated tracking of critical KPIs
• Enhanced reliability and security of essential rural support systems
• Scalable digital services to support the growing needs of the rural community