Oct 22, 2019

Devops Week News - Issue #157

Revue

Devops Week News

October 22 · Issue #157 · View online

Weekly newsletter with curated articles about DevOps.

This week we start with Conquering Microservices Complexity at Uber with Distributed Tracing. In the articles deploying ansible tower with terraform, best practices for production cloud services, API gateway security risk, the new configuration to postgresql replication, how Linkedin customize kafka, kubernetes vulnerability, and how Monzo handles secrets.

What about sharing an article/video to be published in the next issue? Send it to us! @devopsweeknews.

Video of the week

Conquering Microservices Complexity @Uber with Distributed Tracing

Yuri Shkuro presents a methodology that uses data mining to learn the typical behavior of the system from massive amounts of distributed traces, compares it with pathological behavior during outages, and uses complexity reduction and intuitive visualizations to guide the user towards actionable insights about the root cause of the outages.

Articles & News

Deploying Ansible Tower and Terraform | Enable Sysadmin

www.redhat.com – Share

Are Terraform and Ansible an unlikely pairing, two star-crossed lovers, or just the right technological marriage to simplify workflows for sysadmins, developers, and users? Find the right answer here.

Eight essential best practices for production cloud services

medium.com – Share

This post will help you identify the gaps in your production cloud platform, and plan a roadmap for your cloud strategy.

The API Gateway security risk you need to pay attention to | theburningmonk.com

theburningmonk.com – Share

Do you know that when you an API Gateway throttling is enabled by default?

Replication configuration changes in PostgreSQL 12 - 2ndQuadrant | PostgreSQL

www.2ndquadrant.com – Share

This article provides an overview of the changes and potential issues that may be encountered when migrating replication configuration to PostgreSQL 12.

How LinkedIn customizes Apache Kafka for 7 trillion messages per day | LinkedIn Engineering

engineering.linkedin.com – Share

In this post, Jon Lee and Wesley Wu will share more details of the Kafka release that LinkedIn runs in production, the process workflow we follow to develop new patches, the way we upstream the changes we make, a brief summary of some of the patches we maintain in our branch, and how we generate releases.