Running microservices at the edge – the periphery of the network – significantly decreases microservice latency. Edge computing makes microservice architectures more efficient by removing data processing from a centralized core and placing it as close as possible to users.
When it comes to financial transactions, every millisecond counts. In order to remain competitive and profitable, financial institutions depend on lightning-fast, errorless data, in vast quantities. Colocation data centers, located geographically close to users, provide the near-zero latency financial companies require and enable optimal scalability and flexibility while supporting cost-effective, sustainable growth.
Over the last decade, what began with software as a service (SaaS) has proliferated into more advanced offerings such as platform as a service (PaaS) and infrastructure as a service (IaaS). Now, even something as complex and data-intensive as machine learning can be offered as a service—if you have enough bandwidth.