NATS uses cookies to ensure you get the best experience on our website. Continuing to use this site assumes compliance with our Privacy Policy.

NATS Operator: Integrating Kubernetes ServiceAccounts for operated NATS clusters

By: Waldemar Quevedo - Date: July 19, 2018

The latest release of the NATS Operator has alpha support to configure the authorization rules for an operated NATS cluster, via CustomResourceDefinitions, by using Kubernetes ServiceAccounts present in a namespace. In this blog post, we will explain how to use this feature along with details of the internals on how it currently works. Getting started In order to use the ServiceAccounts mapped accounts for an operated NATS cluster, you will need at minimum, a Kubernetes v1. Read More…


KubeCon + CloudNativeCon EU 2018 Recap - Biggest KubeCon yet, we were thrilled to be there!

By: Ginger Collison - Date: May 11, 2018

KubeCon + CloudNativeCon EU 2018 in Copenhagen, Denmark has come and gone and we are getting back to work but first, a recap! This was our first conference for NATS under the stewardship of Synadia Communications, Inc. and the Cloud Native Computing Foundation (CNCF), and for this Synadian, my first technology conference ever. With a sold out conference of over 4,300+ attendees, this event buzzed with energy and excitement each and every day. Read More…


Guest Post: Fission - Serverless Functions and Workflows with Kubernetes and NATS

By: Soam Vasani - Date: October 20, 2017

Fission is a framework for “Serverless” Functions or Functions-as-a-Service on Kubernetes. Fission allows you to take a function and easily turn it into a usable service on Kubernetes, without much of a learning curve. Fission supports a variety of source languages and triggers, which are bindings of events to functions. Fission integrates with the NATS Streaming message queue. Users can map a queue topic to a function using a Fission Message Queue Trigger. Read More…


Guest Post: Real-time, high performance machine learning using NATS, Kubernetes, and MEAN Stack

By: Alejandro Esquivel - Date: June 6, 2017

I am studying Physics at UBC (University of British Columbia), and am a Software Engineer at Aida. Aida is an AI startup building a SaaS platform that provides fast, accurate, and automated assistance for customer support. Aida automatically learns questions and answers from past agent transactions and accurately responds to common support questions which typically account for 10%-30% of ticket volume. Unlike conventional chatbots, Aida does not rely on hand crafted, rule based templates which can only cope with a narrow range of inputs and is incredibly difficult to keep up to date. Read More…


Guest Post: How Clarifai uses NATS and Kubernetes for their Machine Learning Platform

By: Jack Li - Date: March 8, 2017

Clarifai is a machine learning company which aims to make artificial intelligence accessible to the entire world. Our platform allows users to tap into powerful machine learning algorithms while abstracting away the technical minutiae of how the algorithms work and the infrastructure scaling problems of building AI applications from scratch. Some of the machine learning algorithms that we run for users can take a few seconds to several minutes to complete. Read More…