Libros UCLV { BETA }

Among the many configuration management tools available, Ansible has some distinct advantages - it's minimal in nature, you don't need to install anything on your nodes, and it has an easy learning curve. This practical guide shows you how to be productive with this tool quickly, whether you're a developer deploying code to production or a system administrator looking for a better automation solution. Author Lorin Hochstein shows you how to write playbooks (Ansible's configuration management scripts), manage remote servers, and explore the tool's real power: built-in declarative modules. You'll discover that Ansible has the functionality you need and the simplicity you desire.

Ansible combines configuration management, orchestration, and parallel command execution into a single tool. Its batteries-included approach and built-in module library makes it easy to integrate it with cloud platforms, databases, and notification services without requiring additional plugins. Playbooks in Ansible define the policies your systems under management enforce. They facilitate effective configuration management rather than running ad hoc scripts to deploy complex applications.

Ansible combines configuration management, orchestration, and parallel command execution into a single tool. Its batteries-included approach and built-in module library makes it easy to integrate it with cloud platforms, databases, and notification services without requiring additional plugins. Playbooks in Ansible define the policies your systems under management enforce. They facilitate effective configuration management rather than running ad hoc scripts to deploy complex applications. This book will show you how to write a blueprint of your infrastructure encompassing multi-tier applications using Ansible's playbooks. Beginning with the basic concepts such as plays, tasks, handlers, inventory, and the YAML syntax that Ansible uses, you will see how to organize your code into a modular structure. Building on this, you will master techniques to create data-driven playbooks with variables, templates, logical constructs, and encrypted data. This book will also take you through advanced clustering concepts such as discovering topology information, managing multiple environments, and orchestration.

Ansible is an open source software platform for configuring and managing computers. It provides a clear and concise way to manage the configuration of your Linux infrastructure. This book is a step-by-step guide that provides you with the knowledge you require to effectively manage your systems in a simple, quick, and maintainable way, with real-world examples.

Ansible is an open source software platform for configuring and managing computers. It provides a clear and concise way to manage the configuration of your Linux infrastructure. This book is a step-by-step guide that provides you with the knowledge you require to effectively manage your systems in a simple, quick, and maintainable way, with real-world examples. You will begin by learning the basics of Ansible and then move on to exploring more advanced topics. You will then learn the basic and complex operations of playbooks and interact with modules to manage Windows machines and deploy them. You will also get acquainted with Ansible's more advanced features such as serially updating machines, delegating tasks to other machines, advanced uses of variables, looping and conditions, copying whole directories, and using filters to process variables. Towards the end of the book, you will learn how to increase the functionality of Ansible itself by writing your own modules and plugins.

Ansible combines configuration management, orchestration, and parallel command execution into a single tool. Its batteries-included approach and built-in module library makes it easy to integrate it with cloud platforms, databases, and notification services without requiring additional plugins. Playbooks in Ansible define the policies your systems under management enforce. They facilitate effective configuration management rather than running ad hoc scripts to deploy complex applications.

Ansible combines configuration management, orchestration, and parallel command execution into a single tool. Its batteries-included approach and built-in module library makes it easy to integrate it with cloud platforms, databases, and notification services without requiring additional plugins. Playbooks in Ansible define the policies your systems under management enforce. They facilitate effective configuration management rather than running ad hoc scripts to deploy complex applications. This book will show you how to write a blueprint of your infrastructure encompassing multi-tier applications using Ansible's playbooks. Beginning with the basic concepts such as plays, tasks, handlers, inventory, and the YAML syntax that Ansible uses, you will see how to organize your code into a modular structure. Building on this, you will master techniques to create data-driven playbooks with variables, templates, logical constructs, and encrypted data. This book will also take you through advanced clustering concepts such as discovering topology information, managing multiple environments, and orchestration.

Normas aduaneras del 2014. Librito verde. Resumen de cantidades y valores de los elementos que se pueden importar.

Libro de Normas Aduaneras 2014 digital

Libro de Normas Aduaneras 2014 digital. Muy similar a la versión que se vendió a la poblacion cubana,

Docker

So hot off the presses, the latest buzz that has been on the tip of everyone’s tongues and the topic of almost any conversation that includes containers these days is Docker! With this book, you will go from just being the person in the office who hears that buzz to the one who is tooting it around every day. Your fellow office workers will be flocking to you for anything related to Docker and shower you with gifts—well, maybe not gifts, but definitely tapping your brain for knowledge!

Docker

Create, modify, and run your own PaaS with modularized containers using Docker. Crear modifuicar y ejecutar tu propia PaaS con Docker

CoreOS Docker

As more and more applications are moving towards the cloud with server virtualization, there is a clear necessity to deploy the user applications and services very fast and make them reliable with assured SLA by deploying the services in a right set of servers. This becomes more complex when these services are dynamic in nature, which results in making these services autoprovisioned and autoscaled over a set of nodes. The orchestration of the user application is not limited to deploy the services in the right set of server or virtual machines rather to be extended to provide network connectivity across these services to provide Infrastructure as a Service ( IaaS ). Compute, network, and storage are the three main resources to be managed by the cloud provider in order to provide (IaaS). Currently, there are various mechanisms to handle these requirements in more abstract fashion. There are multiple cloud orchestration frameworks, which can manage the compute, storage, and networking resources. OpenStack, Cloud Stack, and VMware vSphere are some of the cloud platforms that orchestrate these resource pools and provide IaaS.

Python Algorithms, Second Edition explains the Python approach to algorithm analysis and design.

Python Algorithms, Second Edition explains the Python approach to algorithm analysis and design. Written by Magnus Lie Hetland, author of Beginning Python, this book is sharply focused on classical algorithms, but it also gives a solid understanding of fundamental algorithmic problem-solving techniques. The book deals with some of the most important and challenging areas of programming and computer science in a highly readable manner. It covers both algorithmic theory and programming practice, demonstrating how theory is reflected in real Python programs. Well-known algorithms and data structures that are built into the Python language are explained, and the user is shown how to implement and evaluate others.What youll learnHow to transform new problems to well-known algorithmic problems with efficient solutions, or show that the problems belong to classes of problems thought not to be efficiently solvableHow to analyze algorithms and Python programs using both mathematical tools and basic experiments and benchmarksHow to understand several classical algorithms and data structures in depth, and be able to implement these efficiently in PythonHow to design and implement new algorithms for new problems, using time-tested design principles and techniquesHow to speed up implementations, using a plethora of tools for high-performance computing in PythonWho this book is for The book is intended for Python programmers who need to learn about algorithmic problem-solving, or who need a refresher. Data and computational scientists employed to do big data analytic analysis should find this book useful. Game programmers and financial analysts/engineers may find this book applicable too. And, students of computer science, or similar programming-related topics, such as bioinformatics, may also find the book to be quite useful. Table of Contents1. Introduction2. The Basics3. Counting 1014. Induction and Recursion and Reduction5. Traversal: The Skeleton Key of Algorithmics6. Divide, Combine, and Conquer7. Greed Is Good? Prove It!8. Tangled Dependencies and Memoization9. From A to B with Edsger and Friends10. Matchings, Cuts, and Flows11. Hard Problems and (Limited) Sloppiness12. Pedal to the Metal: Accelerating Python13. List of Problems and Algorithms14. Graph Terminology!15. Hints for Exercises

Kibana Temas basicos para usar con Elasticsearch

With the increasing interest in data analytics and visualization of large data around the globe, Kibana offers the best features to analyze data and create attractive visualizations and dashboards through simple-to-use web pages. The variety of visualizations provided, combined with the powerful underlying elasticsearch capabilities will help professionals improve their skills with this technology.

Starting and Scaling DevOps in the Enterprise

Software is starting to play a much larger role in how companies compete across a broad range of industries. As the basis of competition shifts to software, large traditional organizations are finding that their current approaches to managing software are limiting their ability to respond as quickly as the business requires. DevOps is a fundamental shift in how leading edge companies are starting to manage their software and IT work. It is driven by the need for businesses to move more quickly and the realization that large software organizations are applying these DevOps principles to develop new software faster than anyone ever thought possible. Everyone is talking about DevOps.

Ansible From Beginner to Pro

Throughout this book, you’re going to be introduced to facets of Ansible and how the program can be used to ensure that all of your machines are configured correctly, whether it’s your local desktop or a fleet of remote servers. It’s important to note that this book mostly assumes that you’re on a Linux or OS X machine. While it is possible to run Ansible on Windows, it is highly experimental and not recommended for day-to-day use. If you are on a Windows machine, don’t worry! In this chapter, we’ll explain how to use a virtualized Linux machine as your control system, which means that you can run Ansible just like you’d be able to if you were running Linux or OS X natively.

One of the most popular routers in the Enterprise and Service Provider market is the Juniper MX Series. The industry is moving to high-speed, high port-density Ethernet-based routers, and the Juniper MX was designed from the ground up to solve these challenges.

One of the most popular routers in the Enterprise and Service Provider market is the Juniper MX Series. The industry is moving to high-speed, high port-density Ethernet-based routers, and the Juniper MX was designed from the ground up to solve these challenges. This book is going to show you, step by step, how to build a better network using the Juniper MX—it’s such a versatile platform that it can be placed in the core, aggregation, or edge of any type of network and provide instant value. The Juniper MX was designed to be a network virtualization beast. You can virtualize the physical interfaces, logical interfaces, control plane, data plane, network services, and even have virtualized services span several Juniper MX routers. What was traditionally done with an entire army of routers can now be consolidated and virtualized into a single Juniper MX router.

Welcome to Junos OS For Dummies. This book provides you with a handy reference for configuring and running Junos software on Juniper Networks products.

More and more, Junos software is being deployed throughout the world running on Juniper Networks platforms designed for switching, routing, and security. You can find it in both the largest and the smallest service provider networks and in the networks at tens of thousands of offices, regional campuses, and data centers of enterprise organizations, as well as in the public sector and on educational campuses.

This book is for those who want to know about Apache Kafka at a hands-on level; the key audience is those with software development experience but no prior exposure to Apache Kafka or similar technologies. This book is also for enterprise application developers and big data enthusiasts who have worked with other publisher-subscriber-based systems and now want to explore Apache Kafka as a futuristic scalable solution.

In today’s world, real-time information is continuously being generated by applications (business, social, or any other type), and this information needs easy ways to be reliably and quickly routed to multiple types of receivers. Most of the time, applications that produce information and applications that are consuming this information are well apart and inaccessible to each other. These heterogeneous application leads to redevelopment for providing an integration point between them. Therefore, a mechanism is required for the seamless integration of information from producers and consumers to avoid any kind of application rewriting at either end. Apache Kafka is an open-source stream-processing software platform developed by LinkedIn and donated to the Apache Software Foundation, written in Scala and Java. The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds.

It’s an exciting time for Apache Kafka. Kafka is being used by tens of thousands of organizations, including over a third of the Fortune 500 companies. It’s among the fastest growing open source projects and has spawned an immense ecosystem around it. It’s at the heart of a movement towards managing and processing streams of data.

Kafka got its start as an internal infrastructure system we built at LinkedIn. Our observation was really simple: there were lots of databases and other systems built to store data, but what was missing in our architecture was something that would help us to handle the continuous flow of data. Prior to building Kafka, we experimented with all kinds of off the shelf options; from messaging systems to log aggregation and ETL tools, but none of them gave us what we wanted. We eventually decided to build something from scratch. Our idea was that instead of focusing on holding piles of data like our relational databases, key-value stores, search indexes, or caches, we would focus on treating data as a continually evolving and ever growing stream, and build a data system—and indeed a data architecture—oriented around that idea.

The most common deployment of pfSense is a perimeter firewall. pfSense accommodates networks requiring mul- tiple Internet connections, multiple LAN networks, and multiple DMZ networks. BGP (Border Gateway Protocol), connection redundancy, and load balancing capabilities are configurable as well.

pfSense configured as a LAN or WAN router and perimeter firewall is a common deployment in small networks. LAN and WAN routing are separate roles in larger networks.

Firewalls, critical components of today's computer networks, effectively protect a system from most Internet security threats. They keep damage on one part of the network - such as eavesdropping, a worm program, or file damage - from spreading to the rest of the network. Without firewalls, network security problems can rage out of control, dragging more and more systems down.

This book is a practical guide to building your own firewall. It provides step-by-step explanations of how to design and install a firewall at your site and how to configure Internet services such as electronic mail, FTP, the World Wide Web, and others to work with a firewall. Firewalls are complex, though, and we can't boil everything down to simple rules. Too much depends on exactly what hardware, operating system, and networking you are using at your site, and what you want your users to be able to do and not do. We've tried to give you enough rules, examples, and resources here so you'll be able to do the rest on your own.

pfSense 2 a practical guide.

pfSense is an open source distribution of FreeBSD-based firewall which provides a platform for flexible and powerful routing and firewalling. The versatility of pfSense presents us with a wide array of configuration options which, compared to other offerings, makes determining requirements a little more difficult and a lot more important. Through this book, you will see that pfSense offers numerous other alternatives to it any environment's security needs.