Increase your Throughput with Cloud Grid Computing

Firms that use traditional workstations are limited by the throughput of one single machine. This causes resource limitations with data store performance, storage, and network bandwidth. Grid computing reduces the bottlenecks caused by these limitations by allowing data to be spread across multiple servers. Cloud grid computing goes further by adding an extra element of elasticity to the underlying technology resources.

Hentsū partners with Google Cloud Platform (GCP) to leverage BigQuery, which is a fully managed data warehouse that analyzes Big Data at heightened speeds, allowing for interactive analysis of massive datasets while remaining highly scalable and secure.

Data store performance

Fully managed, serverless databases enable you to analyze large datasets quickly, without the need to deploy, update, configure, or manage your database solution. Additionally, data processing patterns are managed and executed on your behalf including ETL, batch computation, and continuous computation.

PC Processor/memory/storage

Different applications and workloads require different storage and database solutions. Cloud grid computing makes storage scalability easy and cost efficient while featuring a consistent API, latency, and speed across storage classes. GCP offers three types of object storage that supports all types of workloads and unstructured data.

Network bandwidth

Rather than being limited to the network bandwidth of a single server, grids can be assembled over a wide area, using a varied collection of server and CPU types or by “borrowing” spare computing cycles from otherwise idle machines.

Challenges of running a cloud environment

Cloud grid computing does not come without its challenges. The radically different processes have made cloud computing one of the largest technological disruptions to hit enterprise computing since the advent of the PC. New firms are in prime position to move directly into the cloud, whereas existing firms face the challenge of migrating legacy systems and tools to the new cloud infrastructure, which takes additional forethought and planning.

Clearly, understanding the workloads and the target cloud architectures helps to avoid the many pitfalls of misapplied cloud technologies. When cloud based data needs to be moved between services or regions, there are some considerations to be made around internal network speeds and overall architecture. This reiterates the principles around proper assessment, starting small and growing strategically.

Hentsū Solutions

What is needed is an agile way of solving these resource bottlenecks using new technology architectures. The Hentsū vision is to deliver hedge fund technologies that are agile, secure, compliant, scalable, resilient and cost effective. Hentsū builds solutions that maximise the benefit offered by cloud infrastructure providers like GCP for hedge funds.

Tell us about the technology challenges that you face – we would love to hear from you:

For more information on Cloud grid computing and its benefits, join us at our upcoming New York event on January 25th