News

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.

Blog: Kubernetes 1.16: Custom Resources, Overhauled Metrics, and Volume Extensions

Announcing the Ambassador Developer Portal with Swagger and OpenAPI support

What’s new in Kubernetes 1.16?

What’s new in Kubernetes 1.16: Ephemeral containers for easy pod debugging, support for dual-stack network, new options for the scheduler and much more. These are the features that look more exciting to us for this release (ymmv): Ephemeral containers are a great way to debug running pods, as you can’t add regular containers to a pod after creation (you should use sysdig tools like kubectl capture or kubectl trace for that though!), but you can run ephemeral containers. Right now the steps to run an ephemeral container aren’t straightforward.

Building a Kubernetes platform at Pinterest

Over the years, 300 million Pinners have saved more than 200 billion Pins on Pinterest across more than 4 billion boards. To serve this vast user base and content pool, we’ve developed thousands of services, ranging from microservices of a handful CPUs to huge monolithic services that occupy a whole VM fleet. There are also various kinds of batch jobs from all kinds of different frameworks, which can be CPU, memory or I/O intensive.

Traefik 2.0

Traefik 2.0The Wait Is Over! When we started our journey toward 2.0, we had high expectations (since you had high expectations), and huddled around the whiteboard. We designed Version 2 as if there were no constraints: we forgot our codebase, put aside technical challenges, and developed a new configuration structure that would welcome everything we had ever dreamed of for Traefik.

Top DevOps tools that you must use in 2019 and beyond

Scaling DB Access for Billions of Queries Per Day @PayPal

Managing High Availability in PostgreSQL

In our previous blog posts, we discussed the capabilities and functioning of PostgreSQL Automatic Failover (PAF) by Cluster Labs and Replication Manager (repmgr) by 2ndQuadrant. In the final post of this series, we will review the last solution, Patroni by Zalando, and compare all three at the end so you can determine which high availability framework is best for your PostgreSQL hosting deployment. Patroni originated as a fork of Governor, a project from Compose.

Making long-term forecasts at Lyft

At Lyft, like many other companies, we need to make accurate short and long-term forecasts. Some of the metrics that we need to accurately predict are number of driver hours provided by drivers in different regions — i.e our supply side of the business — and also number of rides taken by riders in different regions, i.e. our demand. We have several internal tools that we use to make forecasts.