Docker

The purposes of this research were 1) to develop human-computer interaction on internet network system: a study of how to use Docker, and 2) to assess the quality of human-computer interaction on internet network system. In this study, 20 experts in information and communication technology, techniques education as well as software engineering techniques were selected as a sampling group (Purposive Sampling) whereby the following tools were employed for data collection. 1) human-computer interaction system on internet network system: a study of how to use Docker, and 2) evaluation forms of human-computer interaction system on internet network system in tales in which they were categorized into 2 groups, 1) contents and 2) media production techniques. The finds of the research suggested that 1) the quality of contents in relation to human-computer interaction system on internet network system in tales was at the high level (Mean =4.25, S.D.=0.55), and 2) the quality of media production in relation to human-computer interaction system on internet network system in tales was at the high level (Mean =4.03, S.D.=0.50).

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ABSTRACTReliability, portability, scalability and availability of applications are essential features of cloud computing in the software architecture of enterprises, that usually makes use of virtual machines (VM’s). The hardware resources of cloud computing are always limited, for this reason it is important that the available resources are adequately allocated to obtain the best possible performance. The container technology is an alternative to VM as it allows to virtualize operating systems, package applications along with the required dependencies and deploy them as an instance of the operating system, permit applications to run independently, and consume only the necessary resources. This article, related to the area of parallel and distributed computing, presents a performance evaluation analyzing several aspects between VM’s and Docker containers, based on different benchmark tools. The test configuration is based on the principles of high performance computing (HPC), adapti...

Usually reservation system involves financial transaction, hence any reservation application
has to deal with lot of banking hazards also has to deal with cancellation
process.
Some of the reservation system may have to deal with bad actors, who can block the
system or can hack into system for their advantage. Putting reservation information
into blockchain can help over come all the above disadvantages. Blockchain platform
like Ethereum which is coupled with digital currency can help in handling financial
process of the system.

Reliably building and maintaining systems across environments is a continuing problem. A project or experiment may run for years. Software and hardware may change as can the operating system. Containerisation is a technology that is used in a variety of companies, such as Google, Amazon and IBM, and scientific projects to rapidly deploy a set of services repeatably. Using Dockerfiles to ensure that a container is built repeatably, to allow conformance and easy updating when changes take place are becoming common within projects. Its seen as part of sustainable software development. Containerisation technology occupies a dual space: it is both a repository of software and software itself. In considering Docker in this fashion, we should verify that the Dockerfile can be reproduced. Using a subset of the Dockerfile specification, a domain specific language is created to ensure that Docker files can be reused at a later stage to recreate the original environment. We provide a simple fr...

Currently cloud service providers have used a variety of operational mechanism to support the company's business processes. Therefore, the services are stored on the company's server, which present in the form of infrastructure, platform, software and function. There are several vulnerabilities have been faced in the implementation such as system failure, natural disasters, human errors or attacks from unauthorized parties. In addition, the time of unavailability of services can be minimized by doing a LM, which many servers have been used the containers to behave like a service provider. Actually, its existence replaces the virtual machine that requires more resources although the process only can be done through Docker with checkpoint and restore in userspace (CRIU). In this research, LM processes are done to the Docker container using CRIU by analyzing the quality of service (QoS), memory and CPU usage. Thus, the simulation are carried out by establishing the LM using 2 (two) different platforms through scenarios with one and three containers respectively. The performance analysis results aim to examine several indicators in comparison with the achievable result to reduce problem occurred in the cloud service.

Atualmente muito se tem comentado sobre bancos de dados não relacionais, também chamados de NoSQL. O conhecimento destes podem abrir várias portas e deve ser considerado um fator de extrema importância para garantir uma boa empregabilidade.É sempre importante estar atento a novas tecnologias e como elas resolvem problemas provenientes das limitações existentes no caso deste tipo de banco enormes quantidade de dados.

Microservices are the developing application stage: It Microservices design isn't a publicity is the engineering that will fill in as the reason for some applications throughout the following scarcely any years. to abbreviate time to market of a product item by improving profitability impact through amplifying the robotization in all life hover of the item. Promising holder innovations, for example, Docker, offer incredible dexterity in creating and running applications when joined with microservices-style design. Microservices acknowledge approaches developing advancements like DevOps and ceaseless conveyance regarding programming design. with MSA style, a few significant arrangement advances, for example, compartment based virtualization and holder coordination arrangements, have came in to picture. This paper completely contemplates microservices building plan alongside the different points of interest and impediments of containerized microservices, objectives and the latest technology used.

Docker provide some facilities, which are useful for developers and administrators. It is an open platform can be used for building, distributing, and running applications in a portable, lightweight runtime and packaging tool, known as Docker Engine. It also provide Docker Hub, which is a cloud service for sharing applications. Costs can be reduced by replacing traditional virtual machine with docker container. It excellently reduces the cost of rebuilding the cloud development platform.

Linux containers and Docker are used to change the way of building shipping, deployment and instantiation of applications. Docker accelerate application delivery along with their dependencies. Therefore, the same containerized application can operate in different development, production, test and operating environments. The platform can be a public cloud, physical or virtual server or network device. Virtual machine requires hypervisor to handle multiple operating systems. Therefore, we can use docker for this purpose. Docker can be used for the purpose of virtualization. In this paper, we can containerize our application using docker and pull the images.

Fog computing has been regarded as an ideal platform for distributed and diverse IoT applications. Fog environment consists of a network of fog nodes and IoT applications are composed of containerized microservices communicating with each other. Distribution and optimization of containerized IoT applications in the fog environment is a recent line of research. Our work took Kubernetes as an orchestrator that instantiates, manages, and terminates containers in multiple-host environments for IoT applications, where each host acts as a fog node. This paper demonstrates the industrial feasibility and practicality of deploying and managing containerized IoT applications on real devices (raspberry pis and PCs) by utilizing commercial software tools (Docker, WeaveNet). The demonstration will show that the application's functionality is not affected by the distribution of communicating microservices on different nodes.

The network performance of virtual machines plays a critical role in Network Functions Virtualization (NFV), and several technologies have been developed to address hardware-level virtualization shortcomings. Recent advances in operating system level virtualization and deployment platforms such as Docker have made containers an ideal candidate for high performance application encapsulation and deployment. However, Docker and other solutions typically use lower-performing networking mechanisms. In this paper, we explore the feasibility of using technologies designed to accelerate virtual machine networking with containers, in addition to quantifying the network performance of container-based VNFs compared to the state-of-the-art virtual machine solutions. Our results show that containerized applications can provide lower latency and delay variation, and can take advantage of high performance networking technologies previously only used for hardware virtualization.

Docker Developing apps nowadays essential a lot extra than writing code. More than one language, frameworks, architectures, and the discontinuous interface between tools for every lifecycle stage create substantial complexity. Docker simplifies and hastens your workflow whilst giving developers the liberty to innovate with their choice of equipment, application stacks, and deployment environments for each venture. Built for Developers, by Developers At docker, we paintings to make the builders' lives simpler because we're developers too. From building docker gear that enhances dev workflows, to creating industry requirements for containerizing apps. From contributing to open-source projects and to being elected to the CNCF technical oversight committee, the people constructing docker tech are one of the things that set us other than the rest. Construct and set up applications with docker laptop and amazon ECS on AWS Faregate. Docker and AWS simplify the development of multi-box applications seamlessly from docker CLI to deployment on amazon ECS on AWS Faregate. Aimore is a main IT and Language preparing focus giving full-setup of training for freshers looking for professional success. We are the top leading Training Centre In Chennai. Docker training in Chennai

The ecosystem of the Internet of Things is a set of physical devices such as sensors and actuators. It includes a set of servers and gateways that provide connectivity. These devices can be installed at three levels: the edge level, the fog level, and the cloud level. Applications that monitor things and collect data from sensors are deployed at the edge, fog, and cloud levels. These applications can be containerized and deployed in different devices by Docker, which takes advantage of its advantage to create executable containers that are isolated from each other. This paper presents a generic Meta-model of the Internet of Things ecosystem based on microservices and supported by Docker as a containerization tool, Ansible as a monitoring tool and Kubernetes as scaling tool. This Meta-model allows us to generate a system of connected objects that can be deployed on three levels: Fog, Edge, Cloud. This Meta-model can be used in different types of domains such as Smart Home-Smart City-Smart Vehicle-Smart Health-Smart Farm-Smart Factory. The Meta-model proposed in this article is a fusion between 5 Meta-models: Internet of Things-Microservices-Ansible-Docker-Kubernetes.

OpenShift adalah sebuah bentuk polyglot platform, disebut demikian karena penggunaan platform yang menggunakan lebih dari satu teknologi platform (sistem yang dibangun di atas platform). Biasanya OpenShift digunakan untuk membangun sebuah aplikasi web dan services, yang mana menggunakan sekumpulan container yang berkaitan dengan lingkungan SELinux (Security-Enhanced Linux – Otorisasi untuk keamanan di sistem operasi Linux). Kita dapat memasang OpenShift pada infrastruktur kita sendiri atau pada cloud yang berada di publik, atau bahkan kita bisa memanfaatkan layanan OpenShift secara online yang telah disediakan oleh Red Hat secara langsung di Red Hat OpenShift.

Dikutip langsung dari situsnya, OKD adalah distribusi dari Kubernetes yang telah di optimasi untuk pengembangan aplikasi yang berkesinambungan dan multi-tenant. OKD menambahkan tools untuk para developer dan sistem operations untuk membangun aplikasi dengan cepat di atas Kubernetes, bahkan untuk maintenance jangka panjang.

Apa yang bisa kita jalankan di OKD – OpenShift ?

OKD di desain untuk menjalankan Kubernetes dalam jumlah yang besar, dibangun dan dikembangkan dengan konsep kontainerisasi.

Selengkapnya : https://play.google.com/store/books/details?id=RAYjEAAAQBAJ

Reliability, portability, scalability and availability of applications are essential features of cloud computing in the software architecture of enterprises, that usually makes use of virtual machines (VM's). The hardware resources of cloud computing are always limited, for this reason it is important that the available resources are adequately allocated to obtain the best possible performance. The container technology is an alternative to VM as it allows to virtualize operating systems, package applications along with the required dependencies and deploy them as an instance of the operating system, permit applications to run independently, and consume only the necessary resources. This article, related to the area of parallel and distributed computing, presents a performance evaluation analyzing several aspects between VM's and Docker containers, based on different benchmark tools. The test configuration is based on the principles of high performance computing (HPC), adapting the same setup used to measure the performance of the processing of big amount of data or information, demanding all out of the available hardware resources. The results of the tests reveal that Docker containers perform better compared to VM's based on VirtualBox. RESUMEN La confiabilidad, portabilidad, escalabilidad y disponibilidad de las aplicaciones, son características esenciales que permiten implementar computación en la nube, usualmente basada en máquinas virtuales (VM's), en una arquitectura de software empresarial. Los recursos de hardware de la computación en la nube, son siempre limitados. Por esto, y para obtener el mejor rendimiento posible, es importante que los recursos disponibles sean consumidos adecuadamente. La tecnología de contenedores representa una alternativa frente a las VM's, debido a que nos permite virtualizar sistemas operativos, que empaquetan aplicaciones junto con las dependencias necesarias y las despliega en una instancia del sistema operativo. Esto permite que las aplicaciones se ejecuten de manera independiente y consuman solamente los recursos necesarios. En este artículo, relacionado con el área de computación paralela y distribuida, se presenta una evaluación del rendimiento computacional de dos tendencias de virtualización: VM's y contenedores Docker, mediante el uso de varias herramientas tipo benchmark. Las pruebas se realizaron acorde a los principios de computación de alto rendimiento (HPC): similar a una evaluación de rendimiento para grandes cantidades de datos y procesamiento de información, esto es, implicando una alta demanda de los recursos de hardware disponibles. Los resultados de las pruebas demuestran que los contenedores Docker tienen un mejor rendimiento frente a las VM's basadas en VirtualBox. Palabras clave: Contenedor, computación en la nube, HPC, máquina virtual, pruebas de rendimiento.

Docker is an open-source platform that can be used for shipping, developing, and running the applications for quick delivery and easy management of the application. Docker improves the performance and efficiency as it uses a single kernel. By pulling the image from the Docker repository, the user can create multiple instances of the same image in the local machine. Hence, Docker containers have become very popular nowadays with its ease of use. However, the Docker containers are also prone to several security attacks due to the absence of hypervisor. This paper focuses on the process of running the application by creating the container. As the Docker, containers are prone to security attacks the paper also focuses on the security misconfiguration present in the Docker containers by considering an example of an elastic search container. The process of exploiting the elastic search container is also presented in this paper. The security vulnerabilities in the Docker occurs because of the configuration or the usage of insecure versions of the packages in the Docker images. Hence, the developer needs to be aware of the packages and need to use the non-vulnerable packages to build a secure image

In traditional network, a developer cannot change the configuration of a router with software programs to control the behavior of the network switches due to closed vendor specific configuration scripts. In order to make the routers/switches programmable, a new architecture of network has to be developed and this gave rise to Software defined networks. It is the new architecture for Computer Networks in which, the old traditional architecture is slowly depreciated. It is very difficult to adapt new technology especially to decide upon which controller has to be considered and what may be its scalability to compete the dynamic circumstances of networks. Many researches are working on possible solutions and look upon SDN to overcome the traditional network limitations. There are many SDN controllers existing amongst them, some are OpenDaylight, Floodlight, Onos, Ryu, Beacon etc. From the existing multiple controllers serving the SDN services to the network, Onos is one of the Controller. ONOS can be deployed on Docker container and it is accessed using its IP as a host. In this paper, authors are contributing for the evaluation of the Performance to check the Scalability of ONOS controller by taking many scenarios which are experimented on the simulation tool of Mininet, Onos Controller, Docker and iPerf. ONOS Controller"s simulated environments are observed for its throughput evaluated in dynamic conditions of a network over Mesh topology by gradually increasing the number of hosts until its supported by the system with optimum resource utilization.

Este trabalho tem como objetivo avaliar a utilização da tecnologia de Containers
Docker como parte da estratégia de virtualização da cloud privada baseada em
OpenStack do Itaú Unibanco. Trata-se de uma tecnologia disruptiva, baseada no
kernel do Linux, que permite a execução de múltiplas aplicações em processos
isolados e com consumo de recursos de processamento controlados, sem o
overhead de infraestrutura causado por um hypervisor, comum em grande parte das
soluções de cloud atuais. Enquanto cada máquina virtual instanciada por um
hypervisor carrega na memória uma imagem de sistema operacional completa, os
Containers Docker compartilham uma única imagem na memória do host. Isto faz
com que os Containers Docker sejam leves e possam ser inicializados em
segundos. Cada container executa uma imagem Docker, que empacota a aplicação,
todas as suas dependências e o ambiente de execução. Além de versionáveis, as
imagens Docker são facilmente portáveis entre os diferentes ambientes do ciclo de
desenvolvimento de sistemas, tornando o processo simples e seguro. Através da
pesquisa foi possível compreender os fundamentos, vantagens e desvantagens e,
sobretudo, as limitações de segurança dos Containers Docker em relação as
máquinas virtuais, o que permitiu direcionar os principais casos de uso para a cloud
privada do Itaú Unibanco. Aplicações de diferentes linhas de negócio devem ser
executadas em máquinas virtuais segregadas. Internamente na máquina virtual, as
aplicações de uma mesma linha de negócio devem ser publicadas em containers
diferentes, conferindo isolamento e controle do uso de recursos por aplicação, e ao
mesmo tempo reduzindo o overhead da infraestrutura pela diminuição do uso de
máquinas virtuais.

Docker veio para revolucionDocker veio para revolucionar a forma como é abordado o desenvolvimento e a implantação de aplicativos, de modo bem simples, é uma plataforma para construir e manter ambientes para a execução de sistemas distribuídos. Um projeto de código aberto que permite a criação de contêineres, a partir de imagens, leves e portáteis para diversas aplicações.

Scopul lucrării este descrierea conținutului vizual pe terminalele mobile. S-a utilizat o arhitectura scalabila de server client, ce permit folosirea unui model de rețea neuronala ce primește imaginea și generează conținut textual. Back-end ul este ținut în firebase și asigură facilitați de autentificare și hosting pentru aplicația web.

The purpose of this paper is to describe a server-client application that helps with image captioning on mobile terminals. We've uses Firebase for our back end that allowed us to develop an authentication service and to host a Flask server that runs a trained machine learning model that generate captions for images that are given as input.

Docker is a tool designed to make it easier to create, deploy, and run applications by using containers (OpenSource,2017). Containers allow a developer to package up an application with all of the parts it needs, such as libraries and other dependencies, and ship it all out as one package. The Docker ecosystem has come a long way in 2017. Especially in security, we saw new features being launched, new products entering the market, and new best practices emerge. All this point to a 2018 that’s set to build on this progress and enable running extremely secure container workloads. A Docker container image is a lightweight, standalone, executable package of software that includes everything needed to run an application: code, runtime, system tools, system libraries and settings. Though a relative new technology there are very few articles and research as to how can we secure the docker container that are coming in the market. With the sudden increase in DevOps technology there is a need to explore the security concerns related to Docker container and shipping of them in a proper fashion. In this research we will discover the possible issues and how to mitigate them.

Jenkins é uma poderosa ferramenta de código aberto destinado a executar Integração Contínua criada com a linguagem Java o que está associada a sua portabilidade para os mais diversos sistemas operacionais. Permite executar uma lista predefinida de etapas (denominado de pipeline), como por exemplo baixar o código-fonte de um repositório na Web, compilar conforme comandos da linguagem e construir um executável a partir das classes resultantes e publicá-la em um servidor definido. Jenkins para muitos analistas representam medo, para mim representa uma forma de gerar muitas tarefas repetidas de forma totalmente automática e ganhar algo que não consigo dar, vender ou emprestar: Tempo. Descubra nesta como facilmente começar a criar seu ambiente profissional.

The ecosystem of the Internet of Things is a set of physical devices such as sensors and actuators. It includes a set of servers and gateways that provide connectivity. These devices can be installed at three levels: the edge level, the fog level, and the cloud level. Applications that monitor things and collect data from sensors are deployed at the edge, fog, and cloud levels. These applications can be containerized and deployed in different devices by Docker, which takes advantage of its advantage to create executable containers that are isolated from each other. This paper presents a generic Meta-model of the Internet of Things ecosystem based on microservices and supported by Docker as a containerization tool, Ansible as a monitoring tool and Kubernetes as scaling tool. This Meta-model allows us to generate a system of connected objects that can be deployed on three levels: Fog, Edge, Cloud. This Meta-model can be used in different types of domains such as Smart Home-Smart City-Smart Vehicle-Smart Health-Smart Farm-Smart Factory. The Meta-model proposed in this article is a fusion between 5 Meta-models: Internet of Things-Microservices-Ansible-Docker-Kubernetes.

There has been seismic change on the New York waterfront since World War II. The shipping industry of longshoremen on the rough docks, has given way to mothers with babies in a bucolic landscape. The former condition existed within Kristeva's theories of abjection (1982), and today we have a suppression of that abjection through the municipal authority of the Hudson

Docker provide some facilities, which are useful for developers and administrators. It is an open platform can be used for building, distributing, and running applications in a portable, lightweight runtime and packaging tool, known as Docker Engine. It also provide Docker Hub, which is a cloud service for sharing applications. Costs can be reduced by replacing traditional virtual machine with docker container. It excellently reduces the cost of rebuilding the cloud development platform.

Günümüzde artık bütün şirketler ellerinde bulunan donanımları daha basit ve etkili bir şekilde kullanmak istiyorlar. Donanımların daha basit ve etkili bir şekilde kullanılmasını sağlayan yöntemlerden en önemlisi kuşkusuz sanallaştırmadır. Sanallaştırmaya olan bu yönelim sonucunda piyasada birçok sanallaştırma teknolojisi geliştirilmiştir. Bu sanallaştırma teknolojilerinden biride "Docker" dır. Docker Linux tabanlı bir sanallaştırma teknolojisidir ve Linux ile yıllardır elimizde olan birçok aracı bir araya getirerek, uygulamaları her platform da çalıştırmamızı sağlıyor. Docker bilinen ve kullanılan lxc konteynerları, cgroups, aufs, copy-on-write dosya sistemleri ve daha birçoğunu kullanıyor. Belki de bu kadar hızlı kabul görmesinin bir nedeni de var olan sistemleri kullanıyor olmasıdır. Bu makalemiz de sanallaştırma teknolojisi olan Docker'ı ve diğer sanallaştırma teknolojilerinden üstünlüklerini anlatılmıştır.

Recent development of real-time technologies is focusing on the standard of Web Real Time Communication (WebRTC) Application Programming Interface (API) which aim to implement the real-time technologies to the web. The main goal is to communicate with other people using video, audio or files in the web browser without installing any additional plugins. In the era of WebRTC development, the need of server as a WebRTC service provider is increasing, causing the new trend, virtualization. A Virtual Machine (VM) is responsible to handle a service or application. Service or application that run by the virtual machine also need a resources such as processor and memory. The efficient use of hardware resources is needed while the provider receives a high demand or run a lot of application or services. Therefore, the containerization method was born. One of the newest technologies from container is Docker. Docker provide an open platform for system administrator and developer in order to build, pack, and run application wherever as a light container. This research doing an evaluation and comparison of WebRTC Servers that run in Docker and VM based on the system performance, which is the use of resources or resource utilization. The result, Docker has more capabilities to utilize the resources efficiently than VM does. This means, Docker performances is better than VM.

The interest on conventional technologies is declining with the increasing demand on new technologies. In the virtualization industry, container based technology has become the most powerful technologies in the last couple of years. With the arrival of Docker, implementation of containerization technology has become more simplified and efficient. Unlike other virtualization platform, Docker is an open source software container platform that provides some facilities, which are useful for developers and administrators. Docker has the traits of providing fast and lightweight virtualization on operating system-level, because of which Docker has become popular technology to serve variety of cloud platforms. Development cost and time can be brought down tremendously by simply replacing traditional ongoing virtual machine with Docker container. Also with the use of Docker, the cost of redeveloping the cloud platform can be reduced to great extent.

Containerization is the concept of packaging the entirety of the runtime of an application or service into an isolated, lightweight, platform-agnostic image which can then be deployed and run across various hardware platforms. It has emerged as a lightweight and cost-effective alternative to the existing technology of full machine virtualization. The shift towards microservice architectures has also resulted in significant changes in the way applications are deployed. Containers have, in the recent past, become a strong contender in the runtime options for microservices. Containerization of microservices has, in a short span of time evolved into a mature deployment model emerging with full force in many tech spaces. The introduction of tooling such as the Docker Platform, Amazon Elastic Container Services and Kubernetes have improved confidence in the use of container technology and have accelerated its adoption. Docker Platform, for instance, has a multitude of users littered all over the industry-Netflix, JpMorgan Chase, etc. We review the background of microservice containerization, motivation for its emergence, performance studies and its impacts on the industry. This paper seeks to review some of the efforts and literature surrounding the containerization of microservices.

In traditional SaaS enterprise applications, microservices are an essential ingredient to deploy machine learning (ML) models successfully. In general, microservices result in efficiencies in software service design, development, and delivery. As they become ubiquitous in the redesign of monolithic software, with the addition of machine learning, the traditional applications are also becoming increasingly intelligent. Here, we propose a portable ML microservice framework Minerva (microservices container for applied ML) as an efficient way to modularize and deploy intelligent microservices in traditional "legacy" SaaS applications suite, especially in the enterprise domain. We identify and discuss the needs, challenges and architecture to incorporate ML microservices in such applications. Minerva's design for optimal integration with legacy applications using microservices architecture leveraging lightweight infrastructure accelerates deploying ML models in such applications.

Fog computing has provided a virtualised platform by extending cloud services closer to IoT devices. This virtualised platform includes virtual servers, storage, or data centres by helping to minimise the offloading delay in execution and data access. This feature makes fog computing best suitable for applications that require low latency and real-time interaction. The role of virtualisation has predominantly contributed to achieving the best results for service providers and satisfy the user's experience. In fog computing, container virtualisation aids for the effective containment of resource usage. Containers here in fog data centres reduce energy consumptions, memory, CPU, and cost, thereby being efficient for resource-limited fog computing applications. However, in the applications, containers can directly access and communicate with the host kernels, and this gives an easy gateway for the attacker to invade containers. If we do not address this, then the attacker can attack the host application, control data on the containers, or access the docker engine. This paper studies a brief understanding of containerbased virtualisation in fog computing and container-based attacks and discusses possible solutions. Besides, this study guides on how we can implement a secure container-based fog application with a balance in security, performance, and user experience.

Optimizar y racionalizar el uso de los recursos TI, hoy día significa elegir una arquitectura abierta y escalable en nube. Siguiendo los principios establecidos por ITIL, el presente proyecto de intervención plantea una solución práctica IaaS, desarrollada con contenedores de Docker hospedados en la nube pública de Google Cloud. Ello permitió a una empresa editorial de tamaño mediana, especializada en la publicación de periódicos, resolver varios problemas de capacidad (escalabilidad y desempeño de su portal informativo). Balanceando el crecimiento de la demanda y los recursos computacionales, sin incurrir en costes adicionales, logrando una reducción del 50% y una mejora en los tiempos de respuesta promedios del 30%, gracias a las
enormes capacidades y oportunidades que la arquitectura propuesta ofrece: corre lo mismo en ambientes de desarrollo y producción (DevOps), es sencillo montar una imagen de Docker y conectarla con otro contenedor que tenga una base de datos, como MySQL y permite aprovechar al máximo las capacidades del sistema operativo host al evitar la sobrecarga inherente a una máquina virtual. Todo ello justifica el desarrollo del presente proyecto de intervención, donde se lleva el concepto de innovación al extremo, enfatizando las ventajas de pasar de un modelo Capex (Capital expenses) a un modelo Opex (Operational expenses), con todas las
ventajas inherentes.

Docker provide some facilities, which are useful for developers and administrators. It is an open platform can be used for building, distributing, and running applications in a portable, lightweight runtime and packaging tool, known as Docker Engine. It also provide Docker Hub, which is a cloud service for sharing applications. Costs can be reduced by replacing traditional virtual machine with docker container. It excellently reduces the cost of re-building the cloud development platform.

Docker is one of the open source container software, notably represented by LXC. It enables to perform a variety of tasks in the system efficiently without huge performance overheads. With the technology, it also provides unbiased environments for the ported applications. After acquiring the insight of the beauty of Docker by reading the paper ”An Updated Performance Compari- son of Virtual Machines and Linux Containers”, I deployed an error logging application Sentry and a PostgreSQL server deployed separately on the re- spective containers.

In traditional SaaS enterprise applications, microservices are an essential ingredient to deploy machine learning (ML) models successfully. In general, microservices result in efficiencies in software service design, development, and delivery. As they become ubiquitous in the redesign of monolithic software, with the addition of machine learning, the traditional applications are also becoming increasingly intelligent. Here, we propose a portable ML microservice framework Minerva (microservices container for applied ML) as an efficient way to modularize and deploy intelligent microservices in traditional "legacy" SaaS applications suite, especially in the enterprise domain. We identify and discuss the needs, challenges and architecture to incorporate ML microservices in such applications. Minerva's design for optimal integration with legacy applications using microservices architecture leveraging lightweight infrastructure accelerates deploying ML models in such applications.

Fedora 31 switched to cgroup v2, being the first major Linux distribution to do so. Docker doesn't support cgroup v2 though, so it doesn't work on the latest Fedora release. This article explains your options, and how to install Docker on Fedora 31 if you don't like the alternatives. Source: https://www.linuxuprising.com/2019/11/how-to-install-and-use-docker-on-fedora.html

NOTA: Esta guía asumen que ya tienes instalado docker 18 o superior. Si tienes alguna consulta sobre docker y estas en la región de SUD/AMERICA y/o Bolivia, puedes hacerlo por correo electrónico. Setup de Postgres Descargar la imagen Postgres Inicialmente se baja la imagen de docker para postgres, en este caso utilizare una imagen para tener postgres 10.7 : docker pull postgres:10.7 Crear el Contenedor Al crear el contenedor se establece la clave del mismo: docker run-d-p 5432:5432-name postgres107-e POSTGRES_PASSWORD=sandino postgres:10.7 Conectarse a la consola bash El clasico comando para ejecutar instrucciones en consola: docker exec-it postgres107 bash Luego para ingresar a la consola de postgres y a disfrutar: psql-U postgres Referencias Aquí listo algunas referencias: https://medium.com/@lvthillo/connect-from-local-machine-to-postgresql-docker-container-f785f00461a7-Una página donde el tutorial es más directo y simple. https://severalnines.com/blog/deploying-postgresql-docker-container-En esta página explican desde la creación de una imagen docker en base una distro ubuntu, se encuentran los scripts para la creación de la imagen, la definición de una red docker y un ejemplo de conexión desde otro container al container que corre postgres.

The interest on conventional technologies is declining with the increasing demand on new technologies. In the virtualization industry, container based technology has become the most powerful technologies in the last couple of years. With the arrival of Docker, implementation of containerization technology has become more simplified and efficient. Unlike other virtualization platform, Docker is an open source software container platform that provides some facilities, which are useful for developers and administrators. Docker has the traits of providing fast and lightweight virtualization on operating system-level, because of which Docker has become popular technology to serve variety of cloud platforms. Development cost and time can be brought down tremendously by simply replacing traditional ongoing virtual machine with Docker container. Also with the use of Docker, the cost of redeveloping the cloud platform can be reduced to great extent.

Безсървърните изчисления и функционалното програмиране коренно променят начина, по който изграждаме и разгръщаме приложения. Съвременният свят е просто немислим без използването на разпределени интелигентни системи и платформи, които предоставят услуги като: опашки, API, шлюзове, инструменти за удостоверяване. Базираните на функции безсървърни изчисления и блок-схеми приложения постигнаха значителен напредък през последната година. Контейнерните технологии все още са в активно развитие. Дори най-простото мобилно приложение има API, чрез който се свързва към облачно съхранение. Проектирането на разпределени системи обаче все още е изкуство, а не точна наука. Необходимостта да се постави на солидна основа отдавна е настъпила и ако искате увереността да изграждате, поддържате и експлоатирате разпределени системи, започнете с тази книга!  В тази книга водещият експерт проф. Николай Райчев излага минимума, от който се нуждаете, за да проектирате правилно и да внедрявате целесъобразно мащабируеми модели за машинно и дълбоко обучение, използвайки безсървърни архитектури за разпределени системи. В книгата са разгледани базовите модели за  проектиране на разпределени системи. Това ще ви помогне не само да създадете такива системи от нулата, но и ефективно да модернизирате съществуващите.

Proyek ini diharapkan mampu mengimplementasikan pengembangan aplikasi berbasis web menggunakan Docker pada sistem operasi Linux. Aplikasi web menggunakan framework codeigniter dengan database mysql. Setelah aplikasi web berfungsi dan simpan pada repository git, selanjutnya akan diimplementasikan pada Docker yang berisi paket dari Lamp.

Beberapa hari yang lalu saya mendengar podcast dari laracon dimana hostnya adalah Taylor Otwel pada podcast tersebut taylor otwel sempat membahas mengenai SPA dengan Intertia JS. Inertia JS ini memungkinkan kita membangun aplikasi SPA (Single Page Application) Menggunakan Front End Framwork Modern seperti Vue Dan React tanpa harus membangun API, Hal yang sangat menarik bagi saya dimana dengan menggunakan inertia Js ini kita dapat membangun SPA Tanpa Harus membuat API. Apkah anda sudah menerapkan SPA pada Web Apps Anda ? jawab di kolom komentar ya.. ini sangat menarik sekali dikarenakan kita akan sangat menghemat waktu dan mengurangi kompleksitas dalam membangun aplikasi. Sebelumnya untuk implementasi SPA misal Laravel Dan Vue Sudah kita harus sibuk di backend maka kita akan sibuk juga di FrontEnd mengingat ekosistem Vue Juga sangat Luas Mulai dari Vuex, Vue Router Dan beberapa hal lainnya lagi. Dengan menggunakan Inertia JS kita dapat membangun aplikasi sprt membangun aplikasi Web SPA tanpa harus membuat API, Kabar baiknya inertia js ini juga sudah memasuki versi stable sehingga sangat aman digunakan untuk level production. bagaimana apakah anda tertarik mencoba inertia js ? saya sendiri saat ini sudah menggunakan inertia js , Laravel Dan Vue JS Untuk membangun webapps.

Reliably building and maintaining systems across environments is a continuing problem. A project or experiment may run for years. Software and hardware may change as can the operating system. Containerisation is a technology that is used in a variety of companies, such as Google, Amazon and IBM, and scientific projects to rapidly deploy a set of services repeatably. Using Dockerfiles to ensure that a container is built repeatably, to allow conformance and easy updating when changes take place are becoming common within projects. Its seen as part of sustainable software development. Containerisation technology occupies a dual space: it is both a repository of software and software itself. In considering Docker in this fashion, we should verify that the Dockerfile can be reproduced. Using a subset of the Dockerfile specification, a domain specific language is created to ensure that Docker files can be reused at a later stage to recreate the original environment. We provide a simple framework to address the question of the preservation of containers and its environment. We present experiments on an existing Dockerfile and conclude with a discussion of future work. Taking our work, a pipeline was implemented to check that a defined Dockerfile conforms to our desired model, extracts the Docker and operating system details. This will help the reproducibility of results by creating the machine environment and package versions. It also helps development and testing through ensuring that the system is repeatably built and that any changes in the software environment can be equally shared in the Dockerfile. This work supports not only the citation process it also the open scientific one by providing environmental details of the work. As a part of the pipeline to create the container, we capture the processes used and put them into the W3C PROV ontology. This provides the potential for providing it with a persistent identifier and traceability of the processes used to preserve the metadata. Our future work will look at the question of linking this output to a workflow ontology to preserve the complete workflow with the commands and parameters to be given to the containers. We see this provenance within the build process useful to provide a complete overview of the workflow.