The digital financial services world has created an amplified set of challenges for the data center and network. Its role in enabling the success of the wider institution has become even more critical, but to deliver this it needs to provide a higher level of performance with increased agility, while maintaining high levels of efficiency and security.
This is forcing institutions to transform their underlying IT capabilities, with the need to simplify the network, obtain more flexible connectivity, automate IT operations, and enable centralized control and administration being core strategies in this respect. As shown in Figure 8, this is driving a number of requirements for the future network. Key considerations for financial institutions in architecture design and vendor selection should be around moving toward a software-defined, intelligent, cloud-ready, and open network that enables the institution to meet its ICT imperatives and achieve these key ICT strategies.
Businesses increasingly recognize that their customers and workers are engaging in ways that were inconceivable when their essential applications were first architected, according to Chris Rechtsteiner, vice president of marketing for ServerCentral. “A group in one country has to have the exact same service levels as a location in another country, and half the people are internal end users, while the other half are external customers,” he says.
As their businesses have globalized, their most strategic applications have struggled to keep pace. “Companies are coming to us, asking ‘How do we do this? How do we solve this problem?’ That’s really what it comes down to.”
Hybrid cloud is your IT platform of the present. Juniper Unite Cloud helps you win the race to the hybrid cloud because it offers the flexibility of hybrid cloud and hybrid operations models while effectively confronting and addressing the overabundance of variables in hybrid IT technologies. Juniper’s product portfolio offers the ultimate flexibility, so that you can seamlessly integrate cloud stacks and unify policy in and across today’s and tomorrow’s private and public clouds.
Contact your Juniper Networks representative to learn more about this hybrid cloud solution.
Juniper’s security solutions seamlessly extend across private and public cloud architectures without compromising security, flexibility, and manageability. With midrange, high-performance, space-efficient, next-generation firewalls, smarter and faster centralized management, and highly evolved security intelligence and automation tools, Juniper Networks allows you to secure your network, keep operational costs down, and easily migrate to a hybrid cloud architecture.
For more information about Juniper’s security solutions, please visit us at www.juniper.net/us/en/products-services/security and
contact your Juniper Networks representative.
This study was conducted with independent global research firm Wakefield Research between November 24 through December 14th, 2015. The data was based on an online study of 20 content questions, plus screeners and demographics of 2704 respondents, in 8 markets: US, China, Australia, Japan, India, UK, Germany, and France. All respondents were restricted to the following industries: service provider organizations, healthcare, retail, and financial services. In this case, the definition of service provider includes companies offering web content services, cable, internet service providers, or telecom.
Juniper Networks challenges the status quo with products, solutions and services that transform the economics of networking. Our team co-innovates with customers and partners to deliver automated, scalable and secure networks with agility, performance and value.
Visit www.juniper.net for more information.
This document is targeted at networking and virtualization architects interested in deploying VMware NSX network virtualization in a multi-hypervisor environment based on the integrated solution from VMware and Juniper.
VMware’s Software Defined Data Center (SDDC) vision leverages core data center virtualization technologies to transform data center economics and business agility through automation and non disruptive deployment that embraces and extends existing compute, network and storage infrastructure investments. NSX is the component providing the networking virtualization pillar of this vision. As a platform, NSX provides partners the capability of integrating their solution and build on the top of the existing functionalities. NSX enables an agile overlay infrastructure for public and private cloud environments leveraging Juniper’s robust and resilient underlay infrastructure that also helps bridge the physical and virtual worlds using the L2 gateway functionality.
The ongoing success of 7ticks depends on having an IT infrastructure that adapts and scales to unforgiving reliability, performance, and transparency requirements. To support the torrid growth of data, 7ticks needed to expand the IP/MPLS network connecting its data centers to 40 Gbps—and have an immediate path to 100 Gbps and beyond. Within its data centers, 7ticks needed network and security solutions that would keep pace—and would simplify service management and support automation.
“Our biggest challenge is performance at scale,” says Scott Caudell, founder of the 7ticks business and vice president of IT infrastructure at Interactive Data. “IT is our business. The 7ticks infrastructure helps customers get a lower time to market and faster execution speeds at a cost that’s sustainable for their businesses.”
The bank wanted to modernize its global data center core and edge networks to move to the next stage of its private cloud journey. The bank has long recognized the advantages of server virtualization, and it wanted to move more aggressively to a software-defined data center. The bank was virtualizing all services, including compute, storage, and network, to gain greater business flexibility and deliver cost savings. But first, it needed an elastic, flexible, and production ready network to connect its data centers.
The bank wanted a dynamically scalable network to interconnect its data centers in Europe, Asia, and North America, so that it could move toward a fully automated, self provisioned cloud. The global network needed to deliver performance at scale for the company’s highly virtualized resources, while also supporting integration of legacy assets into its software-defined data centers.
Whilst the FSI sector races to implement cutting-edge technologies such as AI, blockchain and automation, there are no mutually agreed upon set of best practices to implement these technologies. As a result, organisations are using their own blend
of strategic initiatives and company culture to drive innovation, with varying levels of success. To help, this article features advice from five of the leading experts in the FSI and technology sector today.
Several of the most visible tactics to kick-start innovation in FSI organisations include launching innovation or incubation centres, launching hackathons, partnering with or acquiring start-ups, venture investment or simply trying to develop solutions in house. Whilst each of these approaches has potential, there is a risk that organisations fall into the trap of innovation theatre, in other words, failing to effectively integrate cutting edge technology into key business functions.
Supporting multiple internal clients and all of their requirements for testing and production networks in more than 1,000 cities around the world—these are the unrelenting challenges for the 12 brands that comprise eBay Classifieds Group. Activating new platforms and features can take a lot of time; with the Juniper solution, turnaround time has been reduced to a few hours—sometimes less—which helps eBay Classifieds turn innovation into a real competitive advantage every single day.
The dramatic growth of hybrid cloud deployments is creating new challenges for security professionals that can no longer be addressed with legacy technologies, policies and processes. As applications and data move fluidly between multiple clouds private, public and hybrid—organizations must take a unified approach to security that incorporates a range of products working hand in glove to reduce risk and protect the business.
In today’s business and IT landscape, the network is no longer simply a basic IT function. It is an essential business asset.
The ability of your network users—whether they be employees, customers, or partners—to have fast, real-time access to online resources is directly correlated to financial success.
Facing the future requires enterprises to embark on a digital transformation, employing new technologies such as AI, big data, IoT, and the cloud. Enterprises need a long-term, trusted partner who will support them on their journey and understand their vision. Switch to Juniper Networks and align your enterprise with an innovation leader that places scalable solutions, high availability, productivity, security, and R&D at the forefront, all while keeping simplicity and savings in mind.
As networks scale, they become difficult to manage. A different command line interface (CLI) or operating system (OS) is required for every device type in your network, such as routers, switches, and firewalls. Learning a new OS for every device is a complex task for your operations team and can slow them down—not a very efficient way to run a network.
A Scalable Data Center Network for the Data Tsunami Digital Transformation and other changes drive vast and innumerable new data flows through the business, and increase pressure on IT to continually, quickly, and efficiently address a broad array of new demands. IT needs a network that empowers the business but is too often hampered by it instead. Network management as most practice it now is too complex and inefficient. The solution is automation.
This IDC white paper discusses Juniper's Network Lifecycle Automation Services, a suite of capabilities and services that provide customers the ability to accelerate their digital transformation in a smart, simple, cost-efficient, and more secure way.
The impact of cloud computing and software-defined networking (SDN), including network virtualization, has convinced large enterprises and customers building private, public, and hybrid cloud networks to consider new approaches to help them meet their current and future data center switching needs. Data center switching platforms are constantly evolving, delivering increasingly better performance while simplifying network operations.
In most cases, your physical data center will not disappear as these growth trends play out. Instead, it will evolve into a hybrid environment, incorporating a mixture of physical and virtual computing technologies—including both public and private clouds. You’ll face even more challenging security risks within these hybrid environments than you have protecting your physical data center today. And you won’t be alone with these challenges when making the shift to a hybrid data center architecture.
Deep learning opens up new worlds of possibility in artifi cial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Advanced AI applications require a modern all-fl ash storage infrastructure that is built specifi cally to work with high-powered analytics.
Advances in deep neural networks have ignited a new wave of algorithms and tools for data scientists to tap into their data with artificial intelligence (AI). With improved algorithms, larger data sets, and frameworks such as TensorFlow, data scientists are tackling new use cases like autonomous driving vehicles and natural language processing.
Deep learning opens up new worlds of possibility in artificial intelligence within the Financial Services industry, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Advanced AI applications require a modern all-flash storage infrastructure that is built specifically to work with high-powered analytics.
Advances in deep neural networks have ignited a new wave of algorithms and tools for data scientists to analyze and action data using artificial intelligence (AI). Financial services companies can greatly benefit from this leap forward in technology that enables unique insights into all aspects of the industry. With improved algorithms, larger data sets, and frameworks such as TensorFlow, data scientists now have the ability to tackle complex problems and find credible and profitable solutions.
SDx Central host a webcast to look at troubleshooting top-down application performance in Cisco SDWAN networks as well as assessing impact to application bottoms- up in a Cisco ACI data Center.
Jeremy Rossbach, Sr. Product Marketing Manager, CA Technologies
Jason Normandin, Sr Principal Manager, CA Technologies
Jessica Lyons Hardcastle, Senior Editor, SDx Central
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