Articles
Edge computing explained, from first principles to the operational detail.
Podman vs Docker for Edge Sites: Does Your Choice Matter at Scale?
Podman vs Docker comes down to one design difference: Docker runs containers through a central daemon, Podman runs them without one. Both run the…
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Container Vulnerability Management: Is Every Site Patched?
Yes, a company with hundreds of sites can fix a security weakness everywhere, and prove it. The fix itself is rarely the hard part.…
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PKI for Network Devices: How Avassa Handles Certificates at the Edge
Here's how Avassa approaches PKI for network devices, and what we think makes the difference between a system that looks good on paper and…
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Labels, groups and blast radius: organizing a fleet before it organizes you
As a fleet of edge sites begin to scale, it doesn't stay simple for long. What starts as a handful of pilot locations turns…
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Automating Edge Orchestration using a MCP
Avassa was built to make that manageable through a declarative, API-first platform. The Model Context Protocol (MCP) adds a new way to work with…
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Buyer’s guide for Machine builders: an OS or Application Orchestration decision?
A working guide to evaluating the operating-system layer and the application fleet-management layer at the edge as two separate tracks, not one bundled purchase.
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Edge Computing Use Cases: Real-World Examples by Industry
There are endless edge computing use cases across business scenarios where processing data locally, instead of in the cloud, solves a real latency, connectivity,…
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Edge Computing vs Cloud Computing: Key Differences
Edge computing processes data close to where it is generated. Cloud computing processes it in centralized data centers. That is the short answer to…
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OCI Is the Container Standard. Kubernetes Is Not.
Okay, let’s get right to it. Containers became an industry standard because of OCI, not because of Kubernetes. That distinction actually matters a whole…
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What Is Physical AI? Where Cloud-Based LLMs Meet the Physical World
Artificial Intelligence is moving out of the browser and into the physical world. Over the past few years, Large Language Models (LLMs) transformed how…
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How to Leverage Physical AI at Scale: The Case for an Edge Platform
Physical AI is moving intelligence from digital environments into the physical world. Unlike cloud-based AI systems that primarily generate content or support human decision-making,…
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Stop Lifecycle-Managing Applications Through Tickets
There’s a simple question at the center of modern application lifecycle management: Are you managing applications through tickets and handovers, or through automation and…
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