Over the past few decades, there has been a significant progression in the way businesses host their IT infrastructures, highlighting a shift from centralized cloud computing to localized edge computing infrastructures. This evolution began in the 2000s with the automation of virtual environments and physical servers and progressed to cloud computing and distributed computing in the 2010s. Now, the current technological landscape in the 2020s steers organizations toward utilizing edge infrastructures, which can be hosted on either bare-metal servers or virtualized server instances, also known as the cloud. Business agility has been a driving force behind these advancements, with the need for real-time processing and low latency becoming ever more critical for modern applications.
The Evolution of IT Infrastructure
The journey of IT infrastructure over the past few decades has seen significant changes, illustrating a dynamic shift towards more advanced computing solutions. In the 2000s, businesses began automating virtual environments and physical servers, laying the groundwork for efficient and scalable IT operations. This period marked the initial steps toward creating a more robust and resilient IT infrastructure. The automation of these environments allowed for better resource management and streamlined operations, setting the stage for the next wave of technological advancements.
As the industry moved into the 2010s, cloud computing and distributed computing became the norm, offering businesses the ability to dynamically scale their operations. The cloud provided virtually unlimited storage space and a variety of storage solutions, enabling organizations to manage their IT infrastructures more effectively. Major hyperscalers like AWS, Microsoft Azure, and Google Cloud played a pivotal role in this transformation, making it possible for companies to dynamically scale their resources and handle large workloads efficiently. The cloud-native model of software architecture further enhanced this capability, allowing for the development of applications that could distribute workloads across thousands of virtual environments seamlessly.
Business Agility and Cloud Computing
A central theme in the evolution of IT infrastructure is the concept of business agility, which has driven the widespread adoption of cloud computing. The cloud has been lauded for its native scalability, offering users the flexibility to scale their operations and infrastructure in real time. This scalability is one of the main advantages of cloud computing, providing virtually unlimited storage space and numerous storage solutions. These features have enabled businesses to grow and adapt quickly, meeting the changing demands of their customers with ease.
Additionally, major hyperscalers such as AWS, Microsoft Azure, and Google Cloud provide organizations with powerful tools to manage their IT infrastructures dynamically. The cloud-native model of software architecture is another key benefit, allowing for the development of applications that can scale and distribute workloads across thousands of virtual environments. This model has proven instrumental in enhancing business agility, as it supports the efficient and flexible management of resources. Companies leveraging cloud technologies have been able to respond more swiftly to market changes and customer needs, giving them a competitive edge in their respective industries.
Limitations of Major Hyperscalers
Despite the significant advantages that cloud computing offers, there are notable limitations associated with major hyperscalers, particularly when compared to edge hosting. One critical drawback of these Big Clouds—AWS, Microsoft, and Google—is their centralized approach to infrastructure, which is distributed across a limited number of data centers worldwide, typically around 20 to 30. This centralized model can result in slower content delivery times, higher costs, and complex network policies, leading to increased recurring monthly expenses for their customers.
For instance, the cloud’s network policy of varying outbound internet traffic rates based on geolocation zones constitutes a significant cost factor for enterprises. The complexity of these cloud service policies makes them challenging to adopt, and enterprises face difficulties in hosting applications at the edge. This often leads to substantial costs for inbound and outbound traffic with limited control over network routes and data delivery latency. These issues highlight the need for alternatives that can offer more flexible and cost-effective solutions for businesses seeking to enhance their technological agility and competitiveness.
The Rise of Mid-Sized Edge Infrastructure Providers
Mid-sized edge infrastructure providers present a viable alternative to the large hyperscalers, offering flexible and customizable services that cater to the specific needs of businesses. Companies like HostColor.com (HC) deliver managed edge infrastructure services from a global platform with over 100 edge data center locations worldwide. These providers focus on enhancing business agility through a high degree of customization and flexible service terms, accommodating the unique requirements of their clients.
Furthermore, mid-sized edge providers ensure complete privacy for their customers’ data, treating it as exclusive property that is not accessible or shareable with third parties. This emphasis on data privacy stands in stark contrast to the expansive data retention policies of the large hyperscalers. By prioritizing privacy and customization, mid-sized edge providers offer a more secure and tailored experience for businesses looking to improve their technological agility. These characteristics make them an attractive option for organizations seeking to meet the demands of the digital age while maintaining control over their data and infrastructure.
Edge Bare-Metal Servers vs. Edge Cloud
Edge computing can be categorized into two primary types of technology infrastructure: Edge Bare-Metal Servers and Edge Cloud. Edge Bare-Metal Servers represent a 100% physical computing infrastructure without a virtualization layer. In this setup, the operating system is directly installed on physical servers, resulting in a single-tenant infrastructure environment. When virtualization is employed for partitioning purposes, it leads to a streamlined and efficient operational model. However, scaling computing memory and data storage capacity in this setup requires shutting down the system to perform the necessary upgrade. Data protection for applications is ensured through a redundant array of independent disks (RAID), providing a reliable and secure computing environment.
On the other hand, Edge Cloud employs a virtualized infrastructure solution that utilizes a clustered networking model of interconnected bare-metal servers functioning as a unified group. Cloud servers on this infrastructure use either network-attached storage or hyper-converged storage, ensuring data protection against failure. The fundamental distinction between Edge Bare-Metal and Edge Cloud infrastructures lies in their local hosting, either within or close to local metropolitan markets. This proximity leads to significantly lower latency—typically between 1 ms to 3 ms—facilitating real-time data processing and application delivery. For today’s applications requiring substantial computing power, advanced automation, and instant data access, this low latency is crucial.
The Demand for Edge-Hosted Services
Over the past few decades, the way businesses host their IT infrastructures has evolved significantly, spotlighting a shift from centralized cloud computing to more localized edge computing. This transformation kicked off in the 2000s with the automation of virtual environments and physical servers. By the 2010s, cloud computing and distributed computing became mainstream. In the current 2020s, the technological landscape nudges organizations toward leveraging edge infrastructures, which can be hosted on bare-metal servers or virtualized server instances, also referred to as the cloud. The drive for business agility has fueled these technological advancements, particularly the need for real-time data processing and low latency—vital aspects for modern applications. Edge computing provides the added advantage of reduced latency by processing data closer to the source, ensuring quicker response times and more efficient operations. This shift is increasingly important as the demand for instantaneous data processing and quicker decision-making grows across various industries.