Previously we discussed how we manage the load of our Kubernetes clusters and how we can anticipate our needs with prescaling. Today, we are here to share our solution that we have reworked and open sourced!
A quick sidetrack in our series about Bedrock’s API gateway.
This piece defines what are we talking about when we say “an error”, and explains how we handle the numerous connections to services we are calling.
C’est une histoire bien connue, dans la vie de n’importe quel développeur : un ticket arrive dans le backlog, décrivant une problématique relativement complexe. C’est parfois une question de technologie inconnue, ou parfois simplement un chantier un peu trapu. Je pense que toutes les équipes ont, au moins une fois dans leur vie, fait face à ce genre de tâche impossible : c’est l’occasion des regards désespérés, alors qu’un junior se lamente en disant « Mais par où est-ce qu’il faut commencer ? ». Et c’est là qu’on répond : « Essaye de faire un spike ».
Welcome to our second article about the backend architecture and its api gateway.
In the first part, we talked about the BFF and all services it depends on.
Today we’re going to take a look at what to do when one of them (or many), fails to respond.
At Bedrock, we have a CDN that outputs on average 400GB of uncompressed logs per hour. In this article, we present the architecture we have setup to collect these logs and extract value from them.
Dans cet article, je vais vous présenter JSCodeshift, une libraire qui va vous permettre d’analyser et appliquer automatiquement des modifications sur du code Javascript ou Typescript.
At Bedrock, we build our own privately shared AMIs (Amazon Machine Images) for different parts of our stack: kubernetes platform, vod platform, etc. We build those AMIs to optimize kernel parameters,to embed some tools, and more. We have been using Packer for a couple of years, and everything has been working just fine.
If you maintain an Android application, you might be relying on performance monitoring SDKs like Firebase Performance or New Relic, to name a couple. These plugins usually have a light setup process—just apply a Gradle plugin, and they provide the ability to collect statistics about every network call and database query in your app automatically.
