Tech Radar
Veille technologique issue de notre travail et de notre intérêt à mettre à disposition de nos clients les dernièrs inovations.
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Kubernetes: debugging with ephemeral containers
Catégories : Containers Orchestration, Tech Radar | Tags : Debug, Kubernetes
Anyone who has ever had to manipulate Kubernetes has found himself confronted with the resolution of pod errors. The methods provided for this purpose are efficient, and allow to overcome the most…
Par Pierre BERLAND
7 févr. 2023
Traefik, Docker and dnsmasq to simplify container networking
Catégories : Containers Orchestration, Infrastructure, Tech Radar | Tags : DNS, Gatsby, JAMstack, Linux, Docker, Network
Good tech adventures start with some frustration, a need, or a requirement. This is the story of how I simplified the management and access of my local web applications with the help of Traefik and…
Par David WORMS
17 nov. 2022
WasmEdge: WebAssembly runtimes are coming for the edge
Catégories : Containers Orchestration, Adaltas Summit 2021, Infrastructure, Tech Radar | Tags : JAMstack, Linux, Docker, Rust Lang, WebAssembly
With many security challenges solved by design in its core conception, lots of projects benefit from using WebAssembly. WasmEdge runtime is an efficient Virtual Machine optimized for edge computing…
Par Guillaume BOUTRY
29 sept. 2022
Ingresses and Load Balancers in Kubernetes with MetalLB and nginx-ingress
Catégories : Containers Orchestration, Infrastructure, Tech Radar | Tags : Kubeadm, Cluster, Deployment, Ingress, Kubernetes
When it comes to exposing services from a Kubernetes cluster and making it accessible from outside the cluster, the recommended option is to use a load-balancer type service to redirect incoming…
Par Kellian COTTART
8 sept. 2022
Spark on Hadoop integration with Jupyter
Catégories : Adaltas Summit 2021, Infrastructure, Tech Radar | Tags : Infrastructure, Spark, YARN, CDP, HDP, Jupyter, Notebook, TDP
For several years, Jupyter notebook has established itself as the notebook solution in the Python universe. Historically, Jupyter is the tool of choice for data scientists who mainly develop in Python…
Par Aargan COINTEPAS
1 sept. 2022
Framework laptop with NixOS, a user feedback
Catégories : Learning, Tech Radar | Tags : CLI, DevOps, Learning and tutorial, Linux, Packaging, NixOS, Open source
A new job comes with a new laptop. As such, I was given a Framework Laptop DIY Edition with the objective to install and configure it entirely with NixOS. I will share my first impressions after…
22 août 2022
Apache Liminal: when MLOps meets GitOps
Catégories : Big Data, Containers Orchestration, Data Engineering, Data Science, Tech Radar | Tags : Data Engineering, CI/CD, Data Science, Deep Learning, Deployment, Docker, GitOps, Kubernetes, Machine Learning, MLOps, Open source, Python, TensorFlow
Apache Liminal is an open-source software which proposes a solution to deploy end-to-end Machine Learning pipelines. Indeed it permits to centralize all the steps needed to construct Machine Learning…
Par Aargan COINTEPAS
31 mars 2021
Introduction to Ludwig and how to deploy a Deep Learning model via Flask
Catégories : Data Science, Tech Radar | Tags : Learning and tutorial, Deep Learning, Ludwig Deep Learning Toolbox, Machine Learning, Python
Over the past decade, Machine Learning and deep learning models have proven to be very effective in performing a wide variety of tasks such as fraud detection, product recommendation, autonomous…
2 mars 2020
Druid and Hive integration
Catégories : Big Data, Business Intelligence, Tech Radar | Tags : LLAP, OLAP, Druid, Hive, Data Analytics, SQL
This article covers the integration between Hive Interactive (LDAP) and Druid. One can see it as a complement of the Ultra-fast OLAP Analytics with Apache Hive and Druid article. Tools description…
Par Pierre SAUVAGE
17 juin 2019
Yahoo's Vespa Engine
Catégories : Tech Radar | Tags : Database, Tools, Elasticsearch, Search Engine
Vespa is Yahoo’s fully autonomous and self-sufficient big data processing and serving engine. It aims at serving results of queries on huge amounts of data in real time. An example of this would be…
Par Arthur BUSSER
16 oct. 2017
Get in control of your workflows with Apache Airflow
Catégories : Big Data, Tech Radar | Tags : DevOps, Airflow, Cloud, Python
Below is a compilation of my notes taken during the presentation of Apache Airflow by Christian Trebing from BlueYonder. Introduction Use case: how to handle data coming in regularly from customers…
Par César BEREZOWSKI
17 juil. 2016
Apache Apex: next gen Big Data analytics
Catégories : Data Science, Events, Tech Radar | Tags : Apex, Storm, Tools, Flink, Hadoop, Kafka, Data Science, Machine Learning
Below is a compilation of my notes taken during the presentation of Apache Apex by Thomas Weise from DataTorrent, the company behind Apex. Introduction Apache Apex is an in-memory distributed parallel…
Par César BEREZOWSKI
17 juil. 2016
Apache Apex with Apache SAMOA
Catégories : Data Science, Events, Tech Radar | Tags : Apex, Samoa, Storm, Tools, Flink, Hadoop, Machine Learning
Traditional Machine Learning Batch Oriented Supervised - most common Training and Scoring One time model building Data set Training: Model building Holdout: Paremeter tuning Test: Accuracy Online…
Par Pierre SAUVAGE
17 juil. 2016
E-commerce electronic cigarettes: first impressions with Prestashop
Catégories : Tech Radar | Tags : HTML, Java, Node.js
Last year, I had to select and integrate an e-commerce software for the website CigarHit selling electronic cigarettes. Considering that the last e-commerce integration I made dated from 2005, I took…
Par David WORMS
25 juil. 2012
Node.js is now integrated to the Microsoft Azure platform
Catégories : Cloud Computing, Tech Radar | Tags : Linux, Azure, Cloud, Node.js
Node is now a first class citizen in the Microsoft Azure cloud environment alongside .Net, Java and PHP. This integration is the logical consequence of Microsoft’s involvement in the development of…
Par David WORMS
11 déc. 2011
