Edge computing is changing how businesses process data. Instead of sending everything to distant cloud servers, companies are bringing computation closer to where data is generated. This shift allows for faster processing, lower latency, and greater security, making it essential for industries that depend on real-time analytics, AI applications, and IoT networks.
Cloud computing has its place, but its limitations are becoming more obvious. High bandwidth costs, latency issues, and security concerns have pushed businesses to seek alternatives. Edge computing delivers the performance and cost savings needed to stay competitive by reducing cloud reliance and processing data locally.
At OTAVA, we are committed to helping businesses optimize performance with secure, low-latency edge solutions. Our strategically placed data centers and co-locations bring computing power closer to the source, improving speed and security for industries that demand real-time data processing.
The explosion of connected devices and AI-driven applications is making edge computing a necessity. As businesses shift to decentralized data processing, edge solutions are unlocking new levels of efficiency.
For years, cloud computing dominated IT infrastructure. Now, businesses are moving toward a more distributed model. Gartner predicts that by 2025, 75% of enterprise data will be generated and processed outside traditional data centers. This shift allows organizations to process data locally, improving performance and reducing costs.
The number of IoT devices is skyrocketing. By 2025, connected IoT devices worldwide are expected to generate 79.4 zettabytes of data. Processing this volume in the cloud would create bottlenecks and increase costs. Edge computing ensures that only essential data is transmitted to centralized systems, improving efficiency and reducing network strain.
Cloud computing requires businesses to transmit large amounts of data, which increases bandwidth costs and delays response times. Edge computing minimizes these costs by processing critical data locally. Industries like healthcare, finance, and manufacturing benefit from real-time insights, allowing them to react faster and reduce operational expenses.
Edge computing is essential for AI, robotics, self-driving cars, and 5G networks. These technologies demand instant data processing, which centralized cloud models cannot always provide. Processing information at the edge allows businesses to improve response times and unlock new automation capabilities.
Choosing the right edge computing platform requires careful evaluation. The best solutions balance scalability, security, and industry-specific needs while offering reliable vendor support.
Several edge computing platforms are leading the way in real-time processing, security, and cloud-to-edge integration. These solutions help businesses reduce cloud dependency while improving efficiency.
At OTAVA, we have partnered with Scale Computing to deliver enterprise-grade edge solutions that optimize data processing and storage. Scale Computing’s hyper-converged infrastructure (HCI) is a standout in edge computing, combining virtualization, storage, and computing into a single, integrated platform. This model eliminates the need for separate servers and complex IT configurations, making it an ideal choice for organizations looking to simplify edge deployments without sacrificing performance.
Scale Computing is especially effective for distributed enterprises, manufacturing environments, and remote sites that need consistent uptime and minimal IT intervention. The platform features automated self-healing technology, ensuring that if a system encounters a failure, workloads seamlessly shift to another node without disruption. Edge applications continue running in real time, reducing downtime and improving business continuity.
Microsoft’s Azure IoT Edge allows businesses to deploy AI-driven analytics, machine learning models, and cloud workloads directly at the edge. It integrates with Microsoft’s cloud ecosystem, offering real-time data processing while maintaining secure cloud connectivity.
Eclipse ioFog is an open-source edge computing framework designed for scalable, containerized workloads. It integrates with Kubernetes, giving businesses more flexibility in deploying and managing edge computing infrastructure.
ClearBlade is built for industrial IoT applications, offering real-time predictive maintenance and automation. It supports multiple IoT protocols, including ZeroMQ and ZigBee, ensuring smooth integration across industrial environments.
Alef provides a private edge platform focused on 5G and IoT connectivity. It enables businesses to deploy edge computing with minimal complexity while ensuring fast and secure data processing.
Google’s Distributed Cloud Edge delivers AI-powered analytics, real-time data processing, and enterprise security. It supports third-party integrations, making it a strong choice for industries that require AI-driven edge solutions.
Businesses are increasingly shifting from cloud-based infrastructure to edge solutions. Emerging technologies and AI advancements are accelerating this transition.
AI-driven edge computing improves real-time analytics and decision-making. The AI market is projected to grow at an annual rate of 36.6% through 2030, driving demand for edge solutions that support distributed processing. Industries such as healthcare and retail are leveraging AI at the edge to enhance automation and operational efficiency.
HCI is becoming a standard for edge computing deployments, particularly among SMBs. Broadcom’s acquisition of VMware is expected to accelerate this trend, making HCI solutions more accessible. IDC predicts global edge computing spending will reach $378 billion by 2028 as businesses continue moving toward decentralized processing.
As more businesses adopt edge computing, OTAVA provides the infrastructure needed to support real-time data processing. Our partnership with Scale Computing enhances our ability to offer secure, low-latency solutions tailored to industries that rely on edge computing.
Adopting edge is a necessity for businesses that rely on speed, security, and real-time decision-making. Companies processing massive amounts of data daily can’t afford the delays and costs associated with traditional cloud-based systems. Edge computing offers a smarter, more efficient alternative by bringing computation closer to the data source.
Our secure co-location services and edge computing solutions provide businesses with high-performance, low-latency infrastructure designed for efficiency and reliability.
Edge computing is shaping the future of IT infrastructure. Businesses that prioritize real-time processing and security will stay ahead in an increasingly data-driven world.
At OTAVA, we provide cutting-edge edge solutions that enhance performance and protect data. Our secure colocation facilities, cloud-to-edge integrations, and industry expertise make us a trusted partner in edge computing.
If you are ready to optimize your business with edge computing, contact us today to explore how OTAVA can help you stay ahead in 2025.
