Mixer out-of-process adapter for Knative

Mixer out-of-process adapter for Knative

  • October 5, 2019
Table of Contents

Mixer out-of-process adapter for Knative

Demonstrates a Mixer out-of-process adapter which implements the Knative scale-from-zero logic. This post demonstrates how you can use Mixer to push application logic into Istio. It describes a Mixer adapter which implements the Knative scale-from-zero logic with simple code and similar performance to the original implementation.

Knative Serving builds on Kubernetes to support deploying and serving of serverless applications. A core capability of serverless platforms is scale-to-zero functionality which reduces resource usage and cost of inactive workloads. A new mechanism is required to scale from zero when an idle application receives a new request.

Source: istio.io

Tags :
Share :
comments powered by Disqus

Related Posts

Benchmarking Service Mesh Performance

Benchmarking Service Mesh Performance

Service meshes add a lot of functionality to application deployments, including traffic policies, observability, and secure communication. But adding a service mesh to your environment comes at a cost, whether that’s time (added latency) or resources (CPU cycles). To make an informed decision on whether a service mesh is right for your use case, it’s important to evaluate how your application performs when deployed with a service mesh.

Read More
The Evolution of Istio’s APIs

The Evolution of Istio’s APIs

One of Istio’s main goals has always been, and continues to be, enabling teams to develop abstractions that work best for their specific organization and workloads. Istio provides robust and powerful building blocks for service-to-service networking. Since version 0.1, the Istio team has been learning from production users about how they map their own architectures, workloads, and constraints to Istio’s capabilities, and we’ve been evolving Istio’s APIs to make them work better for you.

Read More
Visualizing Istio external traffic with Kiali

Visualizing Istio external traffic with Kiali

Suppose that you have an application using several third party services to store files, send messages, write tweets, etc. It is useful to know how much traffic is going off your mesh to these services, for example, you might want to know how many requests are directed to twitter or how much data is being sent to Dropbox. Also knowing if these requests are successful or if they fail.

Read More