I’ve just realized that I’ve spent the last decade programming 🤯 While 2020 feels like a strange year, I thought it would be nice to write down a retrospective of the last 10 years 🗓 Learning to program 👨🏻‍💻 I wrote my first Hello, world program somewhere around September 2010, when I started my engineering school to do some electronics, but that C language got me. I spent 6 months struggling to understand pointers and memory.

TL;DR: I’m really happy to announce my latest open-source project called Record-Store 🚀 Please check it out on https://pierrez.github.io/record-store. What? Record-Store is a layer running on top of FoundationDB. It provides abstractions to create, load and deletes customer-defined data called records, which are hold into a RecordSpace. We would like to have this kind of flow for developers: Opening RecordSpace, for example prod/users Create a protobuf definition which will be used as schema Upsert schema Push records Query records delete records You need another KeySpace to store another type of data, or maybe a KeySpace dedicated to production env?

Diving Into is a blogpost serie where we are digging a specific part of the project’s basecode. In this episode, we will digg into the implementation behind ETCD’s Linearizable reads. What is ETCD? From the official website: etcd is a strongly consistent, distributed key-value store that provides a reliable way to store data that needs to be accessed by a distributed system or cluster of machines. It gracefully handles leader elections during network partitions and can tolerate machine failure, even in the leader node.

Notes About is a blogpost serie you will find a lot of links, videos, quotes, podcasts to click on about a specific topic. Today we will discover Raft’s paper called ‘In Search of an Understandable Consensus Algorithm’. As I’m digging into ETCD, I needed to refresh my memory about Raft. I started by reading the paper located here and I’m also playing with the amazing Raft labs made by PingCAP.

This is a repost from OVHcloud’s official blogpost., please read it there to support my company. Thanks Horacio Gonzalez for the awesome drawings! This post has been published on both the StreamNative and OVHcloud blogs and was co-authored by Sijie Guo, Jia Zhai and Pierre Zemb. Thanks Horacio Gonzalez for the illustrations! We are excited to announce that StreamNative and OVHcloud are open-sourcing “Kafka on Pulsar” (KoP). KoP brings the native Apache Kafka protocol support to Apache Pulsar by introducing a Kafka protocol handler on Pulsar brokers.

This is a repost from OVHcloud’s official blogpost., please read it there to support my company. Thanks Horacio Gonzalez for the awesome drawings! In today’s blogpost, we’re going to take a look at our upstream contribution to Apache HBase’s stochastic load balancer, based on our experience of running HBase clusters to support OVHcloud’s monitoring. The context Have you ever wondered how: we generate the graphs for your OVHcloud server or web hosting package?