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Learn How To Power Your Critical Banking Apps In The Cloud
Sep 12 2019
While many enterprises are now ready to embrace cloud computing, they’ve struggled to move highly transactional systems of record to the cloud. For enterprises in regulated sectors such as banking and other financial services, there’s been a real challenge as they look for ways to move mission-critical OLTP SQL databases — and the applications that rely on them — to the cloud. Historically, relational SQL databases required single-server architectures, which made scaling with fluctuating demands both expensive and inefficient. At the same time, scarcity of main memory led to storage-centric design approaches, in turn resulting in a less responsive system.
With these limitations on both database and memory technology it’s been a difficult path to the cloud. However, customers increasingly expect, and even demand, the flexibility, scalability, and availability of banking applications to match their experiences with Netflix, Facebook, and Uber. How then can financial services organizations move their SQL databases and applications to the cloud?
Intel’s Technology Paves the Way
To harness the scalability, performance, and cost advantages of the cloud, enterprises need the right solutions for migrating their transactional workloads and legacy SQL databases. Recently, Intel® introduced their OptaneTM DC persistent memory, which drives down costs and significantly increases memory capacity. This new memory moves the computing model from storage-centric to memory-centric. What this means for enterprises is building very large, low-latency, highly reliable systems in the public cloud.
Google Cloud Platform Offers Cloud Infrastructure & Services
Google has been quick to adopt Intel’s new persistent memory solution into Google Cloud Platform (GCP), increasing their investment in being a leading platform and ecosystem for the cloud. Intel Optane enables significant increases in scalability, making the move to the cloud even more compelling. GCP, launched in 2008, helps organizations as they seek to build and scale in the cloud. It provides a suite of services, including computing, data storage, data analytics, and machine learning, as well as the ability to process big data and perform big analytics. In addition to GCP, Google introduced Anthos earlier this year, which adds on-premises capabilities, providing a hybrid approach for building and deploying applications by enabling consistency between on-premises and cloud environment.
NuoDB Delivers a Distributed SQL Database
NuoDB’s distributed database management system combines the on-demand scalability and continuous availability with transactional consistency and durability. This enables enterprise organizations to adopt a distributed, cloud-first strategy for business-critical transactional systems and provides the resiliency financial services require. Like Anthos, NuoDB offers a hybrid approach, so organizations can build and deploy on-premises and bridge to the cloud of their choice.
A Powerful Combination
Together with Intel’s new persistent memory solution and GCP, organizations in the financial services industry can move business-critical transactional systems to the cloud on NuoDB’s distributed SQL database. These systems and applications are essential functions of the banking industry — running the bank itself as well as the applications that make money, such as payment processing, credit card processing, core banking, trading, compliance, and financial crime mitigation. All of these systems have run on premises on traditional database technologies until recently. The move to the cloud was typically considered too expensive or too technically challenging to undertake. This is no longer the case; enterprises can now accelerate their move to cloud using NuoDB’s distributed SQL database on GCP, powered by Intel’s data-centric technologies.
Learn how enterprises can make the most of what the cloud has to offer from Intel® OptaneTM DC persistent memory, Google Cloud Platform, and NuoDB’s distributed SQL database. Together, these technologies expand cloud SQL database solutions by offering:
- Strict transactional consistency
- Faster response, greater capacity, and scalability
- Memory-centric computing
- Resiliency and efficiency
Read this case study to learn how to take the next step in your cloud transformation today. You can also join me for a webinar on October 2 for an overview of the technologies, accompanied by a demonstration of these solutions running together.