Srinivasa Kalyan Vangibhurathachhi drives hybrid cloud migration, reducing costs by 40% and boosting system uptime, scalability, and performance.
Hybrid cloud
A shift in the mode of data storage backbone in the modern-day hyper-changing digital economy, i.e., the dynamics of moving on premises data systems to a cloud environment transformed into a present requirement, rather than a future objective. The rate at which enterprise data is growing and greater cumulative effect of regulations and the increase in associated infrastructure costs, have made the conventional on-prem setup hard to sustain. Besides the ability to scale and withstand our increased demands, organizations are looking to cloud-native architectures to improve performance, agility, and more intelligent cost management. However, the path is hardly a plug-and-play, it must be carefully planned, compatible with hybrids and able to rely on real-time. That is when experienced experience comes in handy.
Srinivasa Kalyan Vangibhurathachhi is one such specialist whose practices in hybrid data architecture and cloud migration have made him a known entity in the telecom industry, healthcare and insurance. Srinivasa, being a Solution Architect has been involved in large enterprise transitions of legacy systems to modern cloud-based systems, overcoming the technical and organizational complexities of the process. His management in guiding smooth transitions specifically on on-prem Oracle and IBM to hybrid cloud has contributed in the reduction of latency, uptime, and cost efficiency that is measurable. Also, his input in the study of hybrid scalability frameworks has influenced the adoption strategy of managed enterprises of the U.S., a depiction of his thought leadership in the field.
The essence of the His model lies in the idea that hybrid architecture is not a bridge technology, but a strategic building model. This hybrid-first approach is also represented in his real-time data movement plans that propose the integration of on-prem batch operations with cloud-native streaming technology. He has also been able to design solutions with sophisticated technologies such as Snowpipe and Streams to allow the ingestion of live data without taking down any of the mission critical systems. One of his key marketable successes is the successful cut of an overall ownership cost by more than 40 percent by moving its systems to the scalable pay-as-you-go cloud infrastructure. He also automatized ETL pipelines using reusable python scripts to reduce the project delivery timelines by half, and achieved 99.99% of the systems uptime despite the live migration stages.
These implementations leave a visible mark. The performance of its queries increased by 65 percent, the time it took to produce its regulatory reports reduced to half an hour as opposed to eight hours, and it could now develop migration efforts that used to take months through automated frameworks. Such outcomes did not occur without difficulties. Srinivasa addressed some tricky situations such as schema-evolving datasets and high-volume legacy systems with tools such as Zero-Copy Cloning and Time Travel, thus providing data fidelity and the ability of rolling back the data. It was also shown in his dexterity as a technical leader in capability to harmonize distributed teams across the world by using sprint based work processes and constant loop of stakeholder feedback.
In the future, He is one of the proponents of further strategic adoption of hybrid architectures beyond a transitional solution to a long-term one. He refers to a new phenomenon called the data gravity zones where compute and storage move dynamically in both cloud and edge facilities in response to demands. His foresight: data migration in the future is going to be more dependent on portability, synchronization of metadata as well as integrated monitoring than modernization of infrastructure.
Srinivasa Kalyan Vangibhurathachhi has a unique blend of technical skills and architecture vision in a profession that can be explored in narrow templates or vendor-centric directions. His work depicts that smart migration is not about data movement but it is about rebuilding the basis of enterprise intelligence.
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