Agile and  Modern IT Solutions

An industry-leading electricity generation and transmission corporation based in the United States aimed to implement a robust on-site Data Recovery as a Service (DRaaS) solution. The corporation required a comprehensive system to ensure the efficient and accurate backup and restoration of critical systems, adhering to their specified Recovery Time Objectives (RTO) and Recovery Point Objectives (RPO). This initiative was crucial to maintaining the uninterrupted operation of their generation and transmission facilities and safeguarding against potential disruptions.

By integrating Rubrik Cloud Data Management (CDM), our client seamlessly implemented policy-driven data backup with near-zero recovery time capabilities. This adoption not only enabled the client to enhance the efficiency of their infrastructure team but also enabled them to supervise and administer the solution effortlessly.

In our recent project, we faced the challenge of supporting the Client's Disaster Recovery Testing initiative for their IBM Storwize V5030 system. The task involved implementing a new IBM Storwize V5030E system in the Chicago, IL, data centre production environment while repurposing the old V5030 as a replication target. Our main challenge was to ensure seamless synchronisation between the V5030E (source) and V5030 (target) systems and conduct a simulated disaster recovery scenario to validate functionality.

To address the challenge, we meticulously implemented the new technology IBM Storwize V5030E system in the Chicago, IL, data centre. We established a robust plan to synchronise data between the V5030E and V5030 systems, ensuring data integrity and continuity. Rigorous testing procedures were implemented to simulate a disaster recovery scenario, guaranteeing that the systems could seamlessly switch over in case of an actual emergency. Our team monitored the process to mitigate risks and ensure a successful transition.

Our client encountered obstacles in conducting thorough network performance monitoring, which entails analysing log traffic, assessing traffic patterns across various OSI layers, implementing efficient data filtering techniques, and effectively detecting potential cyber-attacks to bolster cybersecurity measures.

We deployed Elastic Stack Vectra for in-depth log traffic analysis and network performance monitoring in our project. We efficiently detected and neutralised potential cyber threats by utilising its features to analyse traffic patterns across OSI layers and apply advanced data filtration methods. This proactive approach significantly improved our client's network security resilience and operational reliability. The technologies used were Elastic and Vectra.