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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.

4 Strategies for Incrementally Migrating from VMs to Kubernetes using an API Gateway

The Effects of Mixing Machine Learning and Human Judgment

In 1997 IBM’s Deep Blue software beat the World Chess Champion Garry Kasparov in a series of six matches. Since then, other programs have beaten human players in games ranging from Jeopardy to Go. Inspired by his loss, Kasparov decided in 2005 to test the success of Human+AI pairs in an online chess tournament.2

State of the cloud 2019: Multi-cloud and Kubernetes go hand in hand

Addressing Multi-Cloud Automation, Hashicorp Releases Terraform Cloud

In a recent blog post, HashiCorp announced the full release of Terraform Cloud, an open-source SaaS platform for teams to manage their infrastructure-as-code workflows. This orchestration takes place through cloud-agnostic tools that allow teams to improve their productivity through repeatable automation. This announcement follows their May 2019 announcement of Remote State Management.