Open Source Summit 2017 — a week in Pragues

Adaltas
Adaltas
Published in
4 min readNov 23, 2017

The Adaltas crew went to the Open Source Summit 2017 as well as the Mesos Summit 2017 held in Pragues about 3 weeks back. On this occasion, we compiled a series of articles about the conferences that have marked us most.

Over the 3-day period of the Open Source Summit, there is no doubt that Kubernetes was the star of the various talks, becoming the de-facto standard for container orchestration. The conference followed its integration announcement by Mesos-based DC/OS in september as well as the one of Docker in october.

With Kurbenetes comes a rich and growing ecosystem, a few of them hosted under the Cloud Native Computing Foundation (CNCF). Here are a few:

Overall, we had a wonderful time in Pragues and we wish to thank the organizers as well as the speaker for sharing their talent. Now, let’s get to the articles:

Scaling massive, real-time data pipelines with Go

Last week at the Open Source Summit in Prague, Jean de Klerk held a talk called Scaling massive, real-time data pipelines with Go. This article goes over the main points of the talk, detailing the steps Jean went through when optimising his pipelines, explaining critical parts of his code and reproducing his benchmark results. […]

Mesos Introduction

Apache Mesos is an open source cluster management project designed to implement and optimize distributed systems. Mesos enables the management and sharing of resources in a fine and dynamic way between different nodes and for various applications. This article covers Mesos architecture, its fundamentals, and its support for NVIDIA GPUs . […]

Micro Services

Back in the days, applications were monolithic and we could use an IP address to access a service. With virtual machines (VM), multiple hosts started to appear on the same machine with multiple apps. Things were still similar with VMs and physical machines as services were still accessible from an IP. With MicroServices, things changed and people were not prepared. […]

Lightweight containerization with Tupperware

In this article, I will present lightweight containerization set up by Facebook called Tupperware. […]

Nobody* puts Java in a Container

This talk was about the issues of putting Java in a container and how, in its latest version, the JDK is now more aware of the container it is running in. The presentation is led by @joerg_schad, Distributed Software Engineer from Mesosphere, at the OpenSource Summit 2017 in Prague. […]

Apache Thrift VS REST

Adaltas recently attended the Open Source Summit Europe 2017 in Prague. I had the opportunity to follow a presentation made by Randy Abernethy and Jens Geyer of RM-X, a cloud native consulting company, about the use of Apache Thrift in the building of high performance microservices. The focus was that Thrift is very fast and how it applies to microservices. […]

Kubernetes Storage Primitives for Stateful Workloads

This article is based on the presentation “Introduction to Kubernetes Storage Primitives for Stateful Workloads” from the OSS Convention Prague 2017 by the {Code} team. […]

From Dockerfile to Ansible Containers

Presentation by Tomas Tomecek from Red Hat’s containerization team. This talk was an introduction to the Dockerfile format and to Ansible container’s tool and then a comparison of both. […]

Multi-Repo, Multi-Node Gating at Massive Scale

This is a recap and personal review of Monty Taylor’s presentation of OpenStack’s Continuous Integration tool “Zuul” at the OpenSource Summit 2017 in Prague (not to mix with Netflix’ Zuul project). […]

Kubernetes 1.8

The 1.8 release of Kubernetes brings a lot of new things. With 2500+ pull request, 2000+ commits, 400+ commiters, Kubernetes added 39 new features in this version. This is the richest release in terms of features, for comparison the 1.7 version contained only 28 features. For this release the Kubernetes team focused on three main areas: security, workloads and extensibility. […]

Originally published at Adaltas.

--

--

Adaltas
Adaltas

Open Source consulting - Big Data, Data Science, Node.js