In our previous article series, we explored the differences between central cloud and distributed edge computing. But what exactly is distributed edge application orchestration, and why is it crucial for…
Refreshing your distributed infrastructure is a major undertaking. Whether driven by hardware end-of-life, rising maintenance costs, or evolving application demands, a tech refresh is an opportunity to modernize—and to avoid…
This is a guest post by Kit Merker, CEO of Plainsight. Industrial automation systems are constantly seeking ways to streamline processes, reduce costs, and improve productivity. However, addressing these needs…
In today’s fast-evolving industrial landscape, companies in manufacturing, energy, and logistics rely on edge orchestration to process real-time data at the on-premise edge. A well-designed edge computing architecture ensures scalability,…
Cloud retail POS systems have become the backbone of modern retail businesses, but is relying solely on cloud-based POS enough to ensure uninterrupted business operations? Looking at the last decades,…
Software-defined industrial automation is reshaping how manufacturers operate, replacing rigid hardware-bound systems with flexible, software-centric architectures. By combining factory automation software, edge computing, and open standards, modern plants gain real-time…
Managing Linux at the edge is fundamentally different from managing it in a data center or the cloud. Edge environments are constrained, diverse, and often lack hands-on IT support. Traditional…
2024 has been an outstanding year for Avassa, with significant traction in the Retail and Industrial Edge verticals. Customers continue to choose Avassa for several compelling reasons: Keep reading about…
The evolution of cloud technology has enabled organizations to streamline and automate their software development lifecycle, as well as scale resources flexibly and efficiently. By reducing infrastructure complexity and standardizing…
Deploying AI models to the edge brings AI closer to real-world applications, addressing challenges such as latency, privacy, and autonomy. Edge deployments enable fast, localized decision-making without relying on cloud…