Programowanie

DevOps with Kubernetes. Accelerating software delivery with container orchestrators

Hideto Saito, Hui-Chuan Chloe Lee, Cheng-Yang Wu

Containerization is said to be the best way to implement DevOps. Google developed Kubernetes, which orchestrates containers efficiently and is considered the frontrunner in container orchestration. Kubernetes is an orchestrator that creates and manages your containers on clusters of servers. This book will guide you from simply deploying a container to administrate a Kubernetes cluster, and then you will learn how to do monitoring, logging, and continuous deployment in DevOps. The initial stages of the book will introduce the fundamental DevOps and the concept of containers. It will move on to how to containerize applications and deploy them into. The book will then introducenetworks in Kubernetes. We then move on to advanced DevOps skills such as monitoring, logging, and continuous deployment in Kubernetes. It will proceed to introduce permission control for Kubernetes resources via attribute-based access control and role-based access control. The final stage of the book will cover deploying and managing yourcontainer clusters on the popular public cloud Amazon Web Services and GoogleCloud Platform. At the end of the book, other orchestration frameworks, such asDocker Swarm mode, Amazon ECS, and Apache Mesos will be discussed.

DevOps with Kubernetes. Accelerating software delivery with container orchestrators - Second Edition

Hideto Saito, Hui-Chuan Chloe Lee, Cheng-Yang Wu

Kubernetes has been widely adopted across public clouds and on-premise data centers. As we're living in an era of microservices, knowing how to use and manage Kubernetes is an essential skill for everyone in the IT industry.This book is a guide to everything you need to know about Kubernetes—from simply deploying a container to administrating Kubernetes clusters wisely. You'll learn about DevOps fundamentals, as well as deploying a monolithic application as microservices and using Kubernetes to orchestrate them. You will then gain an insight into the Kubernetes network, extensions, authentication and authorization. With the DevOps spirit in mind, you'll learn how to allocate resources to your application and prepare to scale them efficiently. Knowing the status and activity of the application and clusters is crucial, so we’ll learn about monitoring and logging in Kubernetes. Having an improved ability to observe your services means that you will be able to build a continuous delivery pipeline with confidence. At the end of the book, you'll learn how to run managed Kubernetes services on three top cloud providers: Google Cloud Platform, Amazon Web Services, and Microsoft Azure.

Digital Forensics and Incident Response. Incident response techniques and procedures to respond to modern cyber threats - Second Edition

Gerard Johansen

An understanding of how digital forensics integrates with the overall response to cybersecurity incidents is key to securing your organization's infrastructure from attacks. This updated second edition will help you perform cutting-edge digital forensic activities and incident response.After focusing on the fundamentals of incident response that are critical to any information security team, you’ll move on to exploring the incident response framework. From understanding its importance to creating a swift and effective response to security incidents, the book will guide you with the help of useful examples. You’ll later get up to speed with digital forensic techniques, from acquiring evidence and examining volatile memory through to hard drive examination and network-based evidence. As you progress, you’ll discover the role that threat intelligence plays in the incident response process. You’ll also learn how to prepare an incident response report that documents the findings of your analysis. Finally, in addition to various incident response activities, the book will address malware analysis, and demonstrate how you can proactively use your digital forensic skills in threat hunting.By the end of this book, you’ll have learned how to efficiently investigate and report unwanted security breaches and incidents in your organization.

Digitalizacja w systemach automatyki SIMATIC. Teoria, przykłady, ćwiczenia

Artur Nowocień

Z pamięci papieru do pamięci komputera Współczesnym przemysłem rządzi... informatyka. Ta dziedzina stale się rozwija i zagarnia pod swoje skrzydła kolejne sektory ― od produkcji, przez logistykę i księgowość, po dystrybucję i sprzedaż. Tyle teorii. W praktyce zaś często się okazuje, że podczas gdy otoczenie biznesowe i technologie pędzą naprzód, systemy stosowane w przemyśle zostają nieco z tyłu. Głównym celem, jaki przyświeca autorowi tej publikacji, skierowanej przede wszystkim do automatyków i programistów sterowników PLC, jest odczarowanie pojęcia digitalizacji i udowodnienie, że technologie, które się w nie wpisują, nie są wcale zarezerwowane dla specjalistów IT. W rzeczywistości wszyscy stosujemy je na co dzień, tylko w okrojonej formie. W książce poruszane są takie tematy jak podstawowe założenia czwartej rewolucji przemysłowej, cyberbezpieczeństwo, mechanizmy informatyczne implementowane na poziomie konwencjonalnych urządzeń automatyki, internet rzeczy, chmury obliczeniowe, systemy brzegowe, a także technologie, które wyznaczają przyszłość automatyki przemysłowej. Każdy rozdział składa się z dwóch części: teoretycznej, zawierającej omówienie podstawowych zagadnień, które należy przyswoić, aby móc świadomie korzystać z danej technologii, i praktycznej, prezentującej jej implementację przy użyciu powszechnie stosowanych komponentów automatyki.

Digitalizacja w systemach automatyki SIMATIC. Teoria, przykłady, ćwiczenia. Wydanie II

Artur Nowocień

Z pamięci papieru do pamięci komputera Współczesnym przemysłem rządzi... informatyka. Ta dziedzina stale się rozwija i zagarnia pod swoje skrzydła kolejne sektory ― od produkcji, przez logistykę i księgowość, po dystrybucję i sprzedaż. Tyle teorii. W praktyce zaś często się okazuje, że podczas gdy otoczenie biznesowe i technologie pędzą naprzód, systemy stosowane w przemyśle zostają nieco z tyłu. Głównym celem, jaki przyświeca autorowi tej publikacji, skierowanej przede wszystkim do automatyków i programistów sterowników PLC, jest odczarowanie pojęcia digitalizacji i udowodnienie, że technologie, które się w nie wpisują, nie są wcale zarezerwowane dla specjalistów IT. W rzeczywistości wszyscy stosujemy je na co dzień, tylko w okrojonej formie. W książce poruszane są takie tematy jak podstawowe założenia czwartej rewolucji przemysłowej, cyberbezpieczeństwo, mechanizmy informatyczne implementowane na poziomie konwencjonalnych urządzeń automatyki, internet rzeczy, chmury obliczeniowe, systemy brzegowe, a także technologie, które wyznaczają przyszłość automatyki przemysłowej. Każdy rozdział składa się z dwóch części: teoretycznej, zawierającej omówienie podstawowych zagadnień, które należy przyswoić, aby móc świadomie korzystać z danej technologii, i praktycznej, prezentującej jej implementację przy użyciu powszechnie stosowanych komponentów automatyki.

Disaster Recovery using VMware vSphere Replication and vCenter Site Recovery Manager. Use VMware vCenter SRM as a disaster recovery solution leveraging both array-based replication and vSphere Replication

Abhilash G B

This is a step-by-step guide that will help you understand disaster recovery using VMware vSphere Replication 5.5 and VMware vCenter Site Recovery Manager (SRM) 5.5. The topics and configuration procedures are accompanied with relevant screenshots, flowcharts, and logical diagrams that makes grasping the concepts easier. This book is a guide for anyone who is keen on using vSphere Replication or vCenter Site Recovery Manager as a disaster recovery solution. This is an excellent handbook for solution architects, administrators, on-field engineers, and support professionals. Although the book assumes that the reader has some basic knowledge of data center virtualization using VMware vSphere, it can still be a very good reference for anyone who is new to virtualization.

Distributed Computing in Java 9. Leverage the latest features of Java 9 for distributed computing

Raja Malleswara Rao Malleswara Rao Pattamsetti

Distributed computing is the concept with which a bigger computation process is accomplished by splitting it into multiple smaller logical activities and performed by diverse systems, resulting in maximized performance in lower infrastructure investment. This book will teach you how to improve the performance of traditional applications through the usage of parallelism and optimized resource utilization in Java 9.After a brief introduction to the fundamentals of distributed and parallel computing, the book moves on to explain different ways of communicating with remote systems/objects in a distributed architecture. You will learn about asynchronous messaging with enterprise integration and related patterns, and how to handle large amount of data using HPC and implement distributed computing for databases. Moving on, it explains how to deploy distributed applications on different cloud platforms and self-contained application development. You will also learn about big data technologies and understand how they contribute to distributed computing. The book concludes with the detailed coverage of testing, debugging, troubleshooting, and security aspects of distributed applications so the programs you build are robust, efficient, and secure.

Distributed Computing in Java 9. Leverage the latest features of Java 9 for distributed computing

Raja Malleswara Rao Malleswara Rao Pattamsetti

Distributed computing is the concept with which a bigger computation process is accomplished by splitting it into multiple smaller logical activities and performed by diverse systems, resulting in maximized performance in lower infrastructure investment. This book will teach you how to improve the performance of traditional applications through the usage of parallelism and optimized resource utilization in Java 9.After a brief introduction to the fundamentals of distributed and parallel computing, the book moves on to explain different ways of communicating with remote systems/objects in a distributed architecture. You will learn about asynchronous messaging with enterprise integration and related patterns, and how to handle large amount of data using HPC and implement distributed computing for databases. Moving on, it explains how to deploy distributed applications on different cloud platforms and self-contained application development. You will also learn about big data technologies and understand how they contribute to distributed computing. The book concludes with the detailed coverage of testing, debugging, troubleshooting, and security aspects of distributed applications so the programs you build are robust, efficient, and secure.

Distributed Computing with Go. Practical concurrency and parallelism for Go applications

V.N. Nikhil Anurag, Jinzhu Zhang, Pankaj Khairnar

Distributed Computing with Go gives developers with a good idea how basic Go development works the tools to fulfill the true potential of Golang development in a world of concurrent web and cloud applications. Nikhil starts out by setting up a professional Go development environment. Then you’ll learn the basic concepts and practices of Golang concurrent and parallel development. You’ll find out in the new few chapters how to balance resources and data with REST and standard web approaches while keeping concurrency in mind. Most Go applications these days will run in a data center or on the cloud, which is a condition upon which the next chapter depends. There, you’ll expand your skills considerably by writing a distributed document indexing system during the next two chapters. This system has to balance a large corpus of documents with considerable analytical demands. Another use case is the way in which a web application written in Go can be consciously redesigned to take distributed features into account. The chapter is rather interesting for Go developers who have to migrate existing Go applications to computationally and memory-intensive environments. The final chapter relates to the rather onerous task of testing parallel and distributed applications, something that is not usually taught in standard computer science curricula.