Tech blog
Welcome to our tech blog. Browse blog posts and learn more about our edge management and operations platform in more depth.
Multi-tenancy: Let’s Answer the Most Frequently Asked Question, Once And For All
Multi-tenancy is a great feature—it allows multiple teams to share compute resources while still maintaining control over their own applications. Each team can deploy, upgrade, and monitor their applications at their own pace, without stepping on each other’s toes… or can they? By “stepping on…
Read moreNow Is The Time to Retire Your VPN
Many of our users face the challenge of accessing their software running on end-customers’ networks. Often, a VPN is set up, which can be both costly and time-consuming to implement and maintain. In this blog post, I’ll explain why our customers no longer need VPNs.…
Read moreAvassa Secrets Management and Hashicorp Vault – A Comparison
Avassa Secrets Management and Hashicorp Vault are two products with a common objective in addressing the problem of storing secrets securely, both at rest and when in use. They both have extensive support for cryptography operations as well as audit and access control. In this…
Read moreComprehensive Guide to Edge-Native Security Features
Security enforcing measures differ a lot between centralized cloud environments and the more exposed distributed edge. Central solutions can trust perimeter security and operational processes covering a few central sites. For the distributed edge the situation is the opposite, edge hosts can be placed in…
Read moreA Simple Language for Placing and Scheduling Applications
You have a lot of hardware, distributed over many locations. If you want to deploy the exact same software, with the exact same configuration on all those machines with the exact same hardware, congratulations, this article is probably overkill for you. Not all machines are…
Read moreHow do offline sites behave in the Avassa Edge Platform?
Offline sites. Can’t live with them, can’t live without them. Suppose you have systems running at thousands of locations, such as Edge AI applications, robot controllers, video analytics, point-of-sales systems, and other on-site applications. What would occur if your connectivity to the cloud were to…
Read moreHow to securely enable SSH access to your edge hosts
At the edge sites, where our customer have deployed Edge Enforcers to manage the container application, there are often other servers and network equipment. At times the operations team must access these other resources. Typically this is done via SSH. While we at Avassa takes…
Read moreHow to automatically manage application certificates across thousands of edge sites
It is a well-established practice to use certificates to affirm the identity of an application. Managing certificates can be cumbersome, especially when you may need 100s or 1000s of them for all your edge sites. A bad practice from a security perspective is to create…
Read moreOS upgrades using the Avassa Edge platform (including RHEL for edge session)
In this blog post, I will show how you can upgrade the operating system of an Avassa cluster, with no impact on running applications. I have lots of edge servers, now what? Using the Avassa platform typically entails having many computers, distributed over many locations,…
Read moreBuilding an IoT stack on top of Avassa
Edge AI and distributed data streaming are increasing in popularity by the day. In this blog post, we’ll look at how to deploy IoT edge components for capturing sensor data at the edge, aggregate that data and forward it to a central data collector, typically…
Read moreDebunking the great myths around Kubernetes at the edge
Being the Product Lead for an Edge Platform includes the pleasure of reading articles and blogs to navigate the edge computing landscape. Recently, I sat down and read a blog post from a team member at Spectro Cloud, Navigating the Digital Frontier: Edge Computing and…
Read morePackaging and deploying an ML serving system to the edge
There once was a lifecycle of a machine learning servable on the edge… The rapid uptake of applied machine learning across many tasks and industries is largely driven by how accessible and cheap the underlying technologies have become. There is a vibrant and growing set…
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