Nanos Reviews

Google Kubernetes Engine Reviews

Nanos mentions (15)

• BareMetal OS

  Then maybe a unikernel such as Nanos would work better for you. https://nanos.org/. - Source: Hacker News / 6 months ago

• Asterinas: OS kernel written in Rust and providing Linux-compatible ABI

  This is a very large rationale for what we are building with https://nanos.org . - Source: Hacker News / 7 months ago

• OS for Secure Containers?

  Going to toot my own horn here but if you're looking for something like a container with a security focus that is precisely what https://nanos.org was built for. No users, no login/ssh, no ability to run other programs other than the one that is already running. It kills off entire CWE's such as CWE-77/CWE-78 and neutralizes a large amount of nasty payloads forcing attackers to put in the work. It has all the same... - Source: Hacker News / 9 months ago

• Show HN: Convert your Containerfile to a bootable OS

  Erlang on Xen was most definitely an inspiration behind what we're working on with https://nanos.org . - Source: Hacker News / about 1 year ago

• Nanos – A Unikernel

  I am a bit confused, there are three sites: * https://nanos.org/ * https://nanovms.com/ * https://ops.city/ And I am not sure what "thing" I am using. Is there some disambiguation? I know is OPS is the orchestration CLI, but I am confused at the difference between Nanos and NanoVMs. What should I call the section of my README that deals with this tech? Currently gone with Nanos/OPS but I am confused. - Source: Hacker News / about 1 year ago

Google Kubernetes Engine mentions (49)

• Google Cloud Unveils A4 VMs with NVIDIA Blackwell GPUs for AI

  Integration with Google Kubernetes Engine (GKE), which supports up to 65,000 nodes per cluster, facilitating robust AI infrastructure. - Source: dev.to / 2 months ago

• Deploy Gemini-powered LangChain applications on GKE

  In my previous post, we explored how LangChain simplifies the development of AI-powered applications. We saw how its modularity, flexibility, and extensibility make it a powerful tool for working with large language models (LLMs) like Gemini. Now, let's take it a step further and see how we can deploy and scale our LangChain applications using the robust infrastructure of Google Kubernetes Engine (GKE) and the... - Source: dev.to / 4 months ago

• Securing Applications Using Keycloak's Helm Chart

  Kubernetes cluster: You need a running Kubernetes cluster that supports persistent volumes. You can use a local cluster, like kind or Minikube, or a cloud-based solution, like GKE%20orEKS or EKS. The cluster should expose ports 80 (HTTP) and 443 (HTTPS) for external access. Persistent storage should be configured to retain Keycloak data (e.g., user credentials, sessions) across restarts. - Source: dev.to / 6 months ago

• Simplify development of AI-powered applications with LangChain

  In a later post, I will take a look at how you can use LangChain to connect to a local Gemma instance, all running in a Google Kubernetes Engine (GKE) cluster. - Source: dev.to / 8 months ago

• 26 Top Kubernetes Tools

  Google Kubernetes Engine (GKE) is another managed Kubernetes service that lets you spin up new cloud clusters on demand. It's specifically designed to help you run Kubernetes workloads without specialist Kubernetes expertise, and it includes a range of optional features that provide more automation for admin tasks. These include powerful capabilities around governance, compliance, security, and configuration... - Source: dev.to / 12 months ago