Missions
Points of view, practical tools and case studies
Revolutionizing Aquaculture with Machine Learning: real-world applications and success stories
Machine learning is transforming aquaculture with groundbreaking applications in image classification, image segmentation, video analysis, and object detection.
SD-WAN: key features, market and solutions
This post provides an overview of SD-WAN and takes stock of key features, the market and the players.
Querying Marine Traffic API with web-scraped container ships data
Marine Traffic operates a database of Maritime data. The database is fed with AIS data. Every AIS-equipped ship periodically radio-broadcasts information abouts its position, its speed, and so on. Marine Traffic operates ground stations to collect AIS-information and put them in a big central database, and offers a paid API to query it.
Deprecated programming methodologies slow down your system, please upgrade!
Romain Jouin kindly asked me to give a talk to his students at Leonard de Vinci University about my opinion, as an IT practitioner, on the evolution of computer architecture.
Managing Allied Telesis Switches The Devops Way Using Go Language
Allied Telesis (AT) is a small and historical network equipment manufacturer, with headquarters in Japan and the United States. Its global turnover may be less than 1/100 of the turnover of the biggest global network equipment manufacturers.
Configuring VPN between AWS and ASA 5506, part 1
An overview of technology
Full benefit of cloud services requires to establish a secure connexion between the local IT infrastructure and the cloud provider. VPN tunnels are precisely designed for this purpose.
Reporting: Data Analysts Blues
An article published in Computer Weekly states that more than 50% of data analysts in the UK anticipate to quit their current job in 2020. The main difficulties they cite were:
- a lack of management support (29% of answers)
- bureaucracy that hinders data science projects (44%)
- a lack of data tools (28%)
Clustering: Kubernetes architecture
In a previous post "Clustering: Kubernetes in a nutshell", we suggest three layers to understand Kubernetes:
- Functional layer
- Conceptual layer
- System layer