This Month in Microservices: October 2017

Ambassador Labs
Microservices Practitioner Articles
3 min readOct 31, 2017

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This month in microservices, The New Stack covered how AirBnB deploys 3,500 microservices per week, Codeship shared their best practices for documenting microservices, we differentiated between microservices API gateways and traditional API gateways, the engineers at TabbDrink shared their experiences moving to microservices, and more!

Check out these most popular articles from the weekly Microservices Practitioner’s Brief for the month of October.

Case Study

Airbnb deploys 3500 microservices per week, with a total of 75,000 production deploys per year. This post covers what they learned on the journey from monolith to microservices.

Tutorial

This article walks through best practices for documenting microservices and application architectures that use the pattern.

Case Study

Microservices API gateways focus on accelerating the development workflow as opposed to traditional API gateways which focus on the challenges of managing APIs. This post discusses how this difference in business objective (productivity vs. management) results in a very different API gateway.

The Industry

An interesting article on the most popular / in-demand programming languages of 2017, and how the increasing popularity of microservices has affected the landscape.

Case Study

The engineers at TabbDrink have been building their platform over the last 18 months. This post covers why they decided to move to microservices, the challenges they faced along the way, and what technical decisions they made around their platform.

Open Source Project

“Distroless” images contain only your application and its runtime dependencies. They do not contain package managers, shells, or any other programs you would expect to find in a standard Linux distribution. Restricting what’s in your runtime container to precisely what’s necessary for your app is a proven best practice.

Open Source Project

Jaeger is an open source distributed tracing system released by Uber and hosted by the CNCF. It can be used for monitoring microservice-based architectures: distributed context propagation, distributed transaction monitoring, root cause analysis, service dependency analysis, performance / latency optimization.

Non-Sequitur

An entertaining article that gives an interesting perspective on the real-world privacy impact of the apps you use every day.

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