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Que savons-nous aujourd'hui des ports, de leur histoire et de leur fonctionnement ? Une des approches les plus fructueuses passe par l'étude des environnements portuaires. Des spécialistes français, britanniques, américains, belges, allemands et italiens nous apportent le résultat des recherches qu'ils développent depuis de longues années. Historiens, sociologues, géographes, professionnels nous livrent leurs réflexions sur ce milieu si important pour l'évolution de nos civilisations. Les exemples sont tirés de toutes les mers du globe, de San Francisco à Montevideo, d'Anvers à Gioia Tauro. Les ports français, bien représentés, s'égrènent de Dunkerque à Fos, avec une attention toute particulière pour la Basse-Seine (Le Havre, Rouen, Honfleur, Dives,...) et la Bretagne. Mais l'ouvrage va au-delà des études de cas puisque l'une de ses originalités est de regrouper plusieurs articles marqués par la dimension comparative. Dans une première partie, les auteurs examinent les représentations et la culture des ports. Dans la deuxième, des réalités plus matérielles, telles que les espaces, les aménagements et les règlements occupent le premier plan. La troisième partie enfin, la plus longue, est dédiée à la foule des métiers de la mer : marins, manutentionnaires, pêcheurs, pilotes et surtout dockers. Ces derniers sont étudiés par des chercheurs qui ont consacré des années d'études à ce milieu complexe et fascinant.

Geography --- port --- aménagement du territoire --- modèle portuaire --- marin --- docker

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The development of applications has evolved. Several years ago, the trend was to create some monolithic applications on a mainframe. Now, it is the micro-services architecture in the cloud. The requirements of the users have also changed. They want a secured application highly available at any time. These constraints transform the IT sector and the application development. The workflow must be quick and automatised.

Kubernetes is a potential solution to support the development of cloud native application. This master thesis will explore how it can be used to create an environment to fit the new constraints. It begins by the creation of a cluster of 6 instances in the cloud (3 masters and 3 workers) and the development of a web application to represent a real use case. After that, a comparison is made between some tools dedicated to the continuous integration and deployment. It is the basis of the devOps and gitOps principles which ensure an efficient workflow. The communication between the services is performed by Istio which is a service mesh tool. It is responsible of the routing and the enforcement of policy rules. A micro-services architecture has some weaknesses in term of security at the level of the cluster itself, the Kubernetes API, the images used by the container, the running containers and the services. All these elements can be configured to mitigate or reduce the consequences of an attack. The performances of Kubernetes and the added tools are analysed to determine in which cases Kubernetes is interesting. In the majority of the cases, it is a efficient choice if the application receives a variable load and must be highly available and secured. The conclusion and the future works close this master thesis.

container --- Docker --- Kubernetes --- cluster --- service mesh --- security --- Ingénierie, informatique & technologie > Sciences informatiques

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"This is the ultimate book for learning Docker, brought to you by Docker Captain and leading educator in the container ecosystem Nigel Poulton.Docker Deep Dive is a masterpiece, expertly written, and rated by BookAuthority as "the number 1 all-time best book on Docker". As featured on CNN and Forbes, BookAuthority identifies and rates the best books in the world, based on public mentions, recommendations, ratings and sentiment.In this book, Docker is simplified and brought to life via Nigel's unique and energetic approach -- many of its readers hold it up as the *gold standard* for technology books.- If you want to learn the basics of Docker, this book is for you.- If you want to be a pro with Docker, this book is for you.Docker Deep Dive is updated regularly, meaning you get a book that's applicable in the world today!Key features include:- Extensive coverage of Docker architecture- Deep dive into core concepts such as images and containers- Networking, volumes, and security- Docker Certified Associate (DCA) coverageNigel is passionate about teaching Docker and this is reflected in this book. You'll never get tired reading this book, and you'll finish it with the confidence you need to take on Docker in the real world. " [Amazon]

Open source software. --- Virtual computer systems. --- Linux device drivers (Computer programs) --- Logiciels libres --- Systèmes virtuels (informatique) --- Linux, Pilotes de périphérique pour (logiciels) --- Docker

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Message logging is the tool of choice to stay informed about the health of a machine or application. These messages, called logs, are used for various purposes, including system management, performance optimization, investigation of suspicious activities, and more generally analysis and debugging. Operations that demand a level of reliability at least equivalent to the emphasis placed on them during their use. However, the syslog protocol was originally designed to work exclusively over UDP. Traditional applications, which have not benefited from the a postorio additions such as TCP, are forced to communicate over a network that is not suitable for them (corrupted or lost messages, reordering, or unreachable server) and over which they have no control. The objective of this work is to develop a resilient syslog relay that will operate downstream of applications, collect their syslog messages and send them to a central syslog server. Several mechanisms such as the use of the TCP protocol and the retention of messages in case of connection loss guarantee reliability. Topics related to message ordering and strategies in case of an overload are also discussed and several approaches are presented to either mitigate or regulate their impact. The implementation, in the form of a prototype, is deployed inside a router running the Cisco IOx environment and features the modern syslog message engine, rsyslog. The model is evaluated on the basis of its functionality and performance in a test environment with network quality such as 3G cellular and EDGE. Several configurations are proposed depending on the type of usage involved. Although the solution does not cover all possible and imaginable problems, such as router outages, the evaluations demonstrate the efficiency and scalability of the proposed solution, which can for example easily handle several tens of thousands of messages per second with a very low resource footprint.

docker --- cisco --- iox --- syslog --- log --- rsyslog --- aarch64 --- linux --- event --- relay --- reliable --- store and forward --- kibana --- elasticsearch --- message generator --- python --- router --- cellular --- network --- TCP --- UDP --- TLS --- configuration --- ioxclient --- chronological order --- timestamp --- 3G --- EDGE --- performance --- testbed --- wanem --- downtime, --- recover --- permanent storage --- open source --- central server --- server --- low footprint --- Ingénierie, informatique & technologie > Sciences informatiques

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The prevalence of smart devices and cloud computing has led to an explosion in the amount of data generated by IoT devices. Moreover, emerging IoT applications, such as augmented and virtual reality (AR/VR), intelligent transportation systems, and smart factories require ultra-low latency for data communication and processing. Fog/edge computing is a new computing paradigm where fully distributed fog/edge nodes located nearby end devices provide computing resources. By analyzing, filtering, and processing at local fog/edge resources instead of transferring tremendous data to the centralized cloud servers, fog/edge computing can reduce the processing delay and network traffic significantly. With these advantages, fog/edge computing is expected to be one of the key enabling technologies for building the IoT infrastructure. Aiming to explore the recent research and development on fog/edge computing technologies for building an IoT infrastructure, this book collected 10 articles. The selected articles cover diverse topics such as resource management, service provisioning, task offloading and scheduling, container orchestration, and security on edge/fog computing infrastructure, which can help to grasp recent trends, as well as state-of-the-art algorithms of fog/edge computing technologies.

Information technology industries --- cloud computing --- container orchestration --- custom metrics --- Docker --- edge computing --- Horizontal Pod Autoscaling (HPA) --- Kubernetes --- Prometheus --- resource metrics --- fog computing --- task allocation --- multi-objective optimization --- evolutionary genetics --- hyper-angle --- crowding distance --- containers --- leader election --- load balancing --- stateful --- multi-access edge computing --- orchestrator --- task offloading --- fuzzy logic --- 5G --- fog/edge computing --- service provisioning --- service placement --- service offloading --- Internet of Things (IoT) --- task scheduling --- markov decision process (MDP) --- deep reinforcement learning (DRL) --- resource management --- algorithm classification --- evaluation framework --- web --- Web Assembly --- OpenCL --- LWC --- fast implementation --- Internet of things --- IoT actor --- data manager --- GDPR --- computing --- computational offloading --- dynamic offloading threshold --- minimizing delay --- minimizing energy consumption --- maximizing throughputs --- cloud computing --- container orchestration --- custom metrics --- Docker --- edge computing --- Horizontal Pod Autoscaling (HPA) --- Kubernetes --- Prometheus --- resource metrics --- fog computing --- task allocation --- multi-objective optimization --- evolutionary genetics --- hyper-angle --- crowding distance --- containers --- leader election --- load balancing --- stateful --- multi-access edge computing --- orchestrator --- task offloading --- fuzzy logic --- 5G --- fog/edge computing --- service provisioning --- service placement --- service offloading --- Internet of Things (IoT) --- task scheduling --- markov decision process (MDP) --- deep reinforcement learning (DRL) --- resource management --- algorithm classification --- evaluation framework --- web --- Web Assembly --- OpenCL --- LWC --- fast implementation --- Internet of things --- IoT actor --- data manager --- GDPR --- computing --- computational offloading --- dynamic offloading threshold --- minimizing delay --- minimizing energy consumption --- maximizing throughputs