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.
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.
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.
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.
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
Most organizations have a dirty little secret: they are relying on user and password-based authentication to protect sensitive internal applications. With 81% of data breaches involving weak or stolen credentials1, applications that use single-factor authentication are an easy target for attack. Unfortunately, updating internal cloud applications—as well as legacy and custom applications—to support multi-factor authentication can be an IT headache for many organizations.
Okta and Palo Alto Networks have collaborated to make rolling out multi-factor authentication a snap. Join Daniel Lu, Product Marketing Manager at Okta and Kasey Cross, Sr. Product Marketing Manager at Palo Alto Networks, to learn:
>The latest trends in credential-based attacks
>Why every sensitive cloud application needs multi-factor authentication
>How to enforce network-level multi-factor authentication without touching your apps using Palo Alto Networks and Okta
When Barracuda first engaged with Rohde & Schwarz Cybersecurity in 2007, enterprises were more concerned about the unauthorized use of Skype, other P2P applications and instant messaging. Although the need for application control and awareness remains, enterprise concerns are shifting to securing enterprise applications hosted in private and public clouds, protecting east-west data center traffic and preventing unwanted traffic and malware on the corporate network.
ThousandEyes integrates monitoring and visualization of device health, end-to-end network paths and the performance of your internally hosted and cloud applications in one place. Identify critical dependencies in your internal network and monitor how device health impacts application performance.
As networks become decentralized and users connect directly to SaaS applications, backhauling traffic to apply security policies just isn’t efficient. Plus, backhauling internet bound traffic is expensive, and it adds latency. More and more branch offices are migrating to direct internet access (DIA). Find out how to quickly and easily secure this traffic.
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