Each player in a financial services ecosystem is dealing with specific workloads with their own set of characteristics. For example, high frequency traders are like sprinters, creating short bursts of trading traffic within a single day, while capital investors are more like marathoners, generating trading traffic at a steady pace over years.
An interconnection-first, hybrid cloud strategy offers digital payments companies greater performance, scalability, security and reliability, while enabling them to deploy their own infrastructure or leverage AWS Direct Connect on Platform Equinix™.
The theme at last year’s AWS #re:Invent was “the cloud is the new normal.” Here are some highlights from these announcements that I believe will be very exciting for Equinix customers moving forward.
As the enterprise increasingly adopts cloud, more business-critical applications are moving into cloud environments, and high network performance needs to move there with them – service quality can’t be guaranteed without it. But how can companies ensure they can deliver it?
If you are starting a cloud infrastructure architecture from scratch that is isolated from existing legacy IT, then a greenfield approach allows you to maximize cloud capabilities, while factoring in other objectives like security, performance and cost.
Your initial cloud migration steps are critical as they shape the ultimate outcome of your cloud strategy. You’ll want to start with a comprehensive cloud assessment to make sure there’s no mystery or uncertainty about what is involved in your company’s cloud migration process.
A hybrid IT model – combining corporate computing resources with cloud computing – has become the clear choice for business, and it could stay like that for a while.
Telnyx leverages an IOA to solve one of the industry’s hardest communications problems and to deliver high-performance VoIP services to its enterprise customers worldwide. This same interconnection-first strategy can work for any enterprise or service provider facing connectivity obstacles – in particular, interconnecting people, locations, clouds and data.
Recent advances in cloud platform user interfaces and documentation has made it easier than ever for enterprises to adopt cloud platforms and migrate workloads to them. We see more and more companies who have had a fantastic experience creating a proof-of-concept (POC) cloud environment and then quickly morphing it into their production cloud environment.
The adoption of machine learning in the enterprise may be closer than predicted as leading cloud providers are making AI more accessible “as-a-Service” via open source platforms. According to the Financial Times, AI in the cloud is “the next great disrupter” and opens up opportunities for businesses to create powerful new AI applications fast, without building the tools, infrastructure or expertise in house.