In many systems, scalability becomes the primary driver as the user base grows. Attractive features and high utility breed success, which brings more requests to handle and more data to manage. But organizations reach a tipping point when design decisions that made sense under light loads suddenly become technical debt. This practical book covers design approaches and technologies that make it possible to scale an application quickly and cost-effectively.
Author Ian Gorton takes software architects and developers through the foundational principles of distributed systems. You'll explore the essential ingredients of scalable solutions, including replication, state management, load balancing, and caching. Specific chapters focus on the implications of scalability for databases, microservices, and event-based streaming systems.
You will focus on:
Cloud Computing: Concepts, Technology, Security & Architecture
Cloud computing has become an integral and foundational part of information technology. The majority of digital business activity and technology innovation occurs with the involvement of contemporary cloud environments that provide highly sophisticated automated technology infrastructure and a vast range of technology resources. To successfully build upon, interact with, or create a cloud environment requires an understanding of its common inner mechanics, architectural layers, models, and security controls. It also requires an understanding of the business and economic factors that justify the adoption and real-world use of clouds and cloud-based products and services.
In Cloud Computing: Concepts, Technology, Security & Architecture, Thomas Erl, one of the world's top-selling IT authors, teams up with cloud computing expert Eric Barceló Monroy and researchers to break down proven and mature cloud computing technologies and practices into a series of well-defined concepts, technology mechanisms, and technology architectures. Comprehensive coverage of containerization and cybersecurity topics is also included.
All chapters are carefully authored from an industry-centric and vendor-neutral point of view. In doing so, the book establishes concrete, academic coverage with a focus on structure, clarity, and well-defined building blocks for mainstream cloud computing and containerization platforms and solutions. With nearly 370 figures, 40 architectural models, and 50 mechanisms, this indispensable guide provides a comprehensive education of contemporary cloud computing, containerization, and cybersecurity that will never leave your side.
Master NGINX to elevate, accelerate, and optimize your cloud infrastructure
Key Features
- Discover the potential of running NGINX in your environment
- Run NGINX in harmony with your existing cloud infrastructure
- Learn how to fine-tune and adjust NGINX's configuration for best performance
- Purchase of the print or Kindle book includes a free PDF eBook
Book Description
Explore the capabilities of NGINX, a robust HTTP server designed for handling high-traffic websites, with network scalability as its primary objective. Whether you're a beginner or an experienced administrator, this NGINX book will guide you through the complete process of setting up this lightweight HTTP server, from quick and basic configurations to more detailed configurations tailored to your needs. Highlighting the latest version 1.25.2, featuring new features such as HTTP/3 and QUIC, this edition keeps you up to date with cutting-edge developments.
This book is packed with a multitude of real-world examples, which will help you secure your infrastructure with automatic TLS certificates, expertly place NGINX in front of your existing applications, and do much more. From orchestration and Docker to bandwidth management, OpenResty, and NGINX Plus commercial features, you'll get to grips with enhancing and optimizing your infrastructure or designing brand-new architecture. Moreover, this updated edition will show you how NGINX excels in cloud environments with guides on integrating NGINX with cloud services for deploying scalable architectures efficiently and securely.
By the end of this book, you'll be able to adapt and use a wide variety of NGINX implementations to tackle diverse challenges with confidence.
What you will learn
- Install and configure a basic setup for NGINX and test it out
- Discover the core functionality of the HTTP module as well as third-party modules
- Understand how to set up NGINX to work with PHP, Python, and other applications
- Optimize your architecture with threads or load balancing
- Configure NGINX with orchestration and work in a Docker environment
- Identify errors in configuration and grasp basic troubleshooting techniques
Who this book is for
This book is for beginners and web administrators looking to master the powerful and secure NGINX HTTP server. Whether you want to replace your existing web server software or integrate a new tool to collaborate with applications that are already up and running, this book will help you achieve your goals. To get started, all you need is access to a Linux server and a basic understanding of web server concepts.
Table of Contents
- Downloading and Installing NGINX
- Basic NGINX Configuration
- Exploring the HTTP Configuration
- Exploring Module Configuration in NGINX
- PHP and Python with NGINX
- NGINX as a Reverse Proxy
- Introduction to Load Balancing and Optimization
- NGINX within a Cloud Infrastructure
- Fully Deploy, Manage, and Auto-Update NGINX with Ansible
- Case Studies
- Troubleshooting
Gain hands-on experience in building efficient and scalable big data architecture on Kubernetes, utilizing leading technologies such as Spark, Airflow, Kafka, and Trino
Key Features:
- Leverage Kubernetes in a cloud environment to integrate seamlessly with a variety of tools
- Explore best practices for optimizing the performance of big data pipelines
- Build end-to-end data pipelines and discover real-world use cases using popular tools like Spark, Airflow, and Kafka
- Purchase of the print or Kindle book includes a free PDF eBook
Book Description:
In today's data-driven world, organizations across different sectors need scalable and efficient solutions for processing large volumes of data. Kubernetes offers an open-source and cost-effective platform for deploying and managing big data tools and workloads, ensuring optimal resource utilization and minimizing operational overhead. If you want to master the art of building and deploying big data solutions using Kubernetes, then this book is for you.
Written by an experienced data specialist, Big Data on Kubernetes takes you through the entire process of developing scalable and resilient data pipelines, with a focus on practical implementation. Starting with the basics, you'll progress toward learning how to install Docker and run your first containerized applications. You'll then explore Kubernetes architecture and understand its core components. This knowledge will pave the way for exploring a variety of essential tools for big data processing such as Apache Spark and Apache Airflow. You'll also learn how to install and configure these tools on Kubernetes clusters. Throughout the book, you'll gain hands-on experience building a complete big data stack on Kubernetes.
By the end of this Kubernetes book, you'll be equipped with the skills and knowledge you need to tackle real-world big data challenges with confidence.
What You Will Learn:
- Install and use Docker to run containers and build concise images
- Gain a deep understanding of Kubernetes architecture and its components
- Deploy and manage Kubernetes clusters on different cloud platforms
- Implement and manage data pipelines using Apache Spark and Apache Airflow
- Deploy and configure Apache Kafka for real-time data ingestion and processing
- Build and orchestrate a complete big data pipeline using open-source tools
- Deploy Generative AI applications on a Kubernetes-based architecture
Who this book is for:
If you're a data engineer, BI analyst, data team leader, data architect, or tech manager with a basic understanding of big data technologies, then this big data book is for you. Familiarity with the basics of Python programming, SQL queries, and YAML is required to understand the topics discussed in this book.
Table of Contents
- Getting Started with Containers
- Kubernetes Architecture
- Kubernetes - Hands On
- The Modern Data Stack
- Big Data processing with Apache Spark
- Apache Airflow for building pipelines
- Apache Kafka for real time events and data ingestion
- Deploying the Big Data Stack on Kubernetes
- Data consumption layer
- Building a Big Data Pipeline on Kubernetes
- AI/ML Workloads on Kubernetes
- Where to go from here
Do you want to understand the basic fundamentals of SAP software without having to work through 400 pages or more? Yes? Then this book is for you! The authors concentrate on the essentials and spare you all the details you do not need as a beginner. Using simple, step-by-step examples, walk through the fundamentals of the SAP Enterprise Resource Planning (ERP) system including navigation, transactions, organizational units, and master data. Instructional videos help you experience the look-and-feel of SAP software without requiring access to an SAP system.
This second edition has been enhanced with an overview of the existing SAP product portfolio in addition to SAP ERP. Learn more about the technical side of SAP ERP including industry solutions, ABAP, and enhancement packages (EHP). Get a short introduction to BI, CRM, SRM, SCM, GRC, NetWeaver, SuccessFactors, and HANA. Demystify SAP acronyms and get clarity on the purpose of different SAP products.
Set up next-generation firewalls from Palo Alto Networks and get to grips with configuring and troubleshooting using the PAN-OS platform
Key Features
Book Description
To safeguard against security threats, it is crucial to ensure that your organization is effectively secured across networks, mobile devices, and the cloud. Palo Alto Networks' integrated platform makes it easy to manage network and cloud security along with endpoint protection and a wide range of security services. With this book, you'll understand Palo Alto Networks and learn how to implement essential techniques, right from deploying firewalls through to advanced troubleshooting.
The book starts by showing you how to set up and configure the Palo Alto Networks firewall, helping you to understand the technology and appreciate the simple, yet powerful, PAN-OS platform. Once you've explored the web interface and command-line structure, you'll be able to predict expected behavior and troubleshoot anomalies with confidence. You'll learn why and how to create strong security policies and discover how the firewall protects against encrypted threats. In addition to this, you'll get to grips with identifying users and controlling access to your network with user IDs and even prioritize traffic using quality of service (QoS). The book will show you how to enable special modes on the firewall for shared environments and extend security capabilities to smaller locations.
By the end of this network security book, you'll be well-versed with advanced troubleshooting techniques and best practices recommended by an experienced security engineer and Palo Alto Networks expert.
What you will learn
Who this book is for
This book is for network engineers, network security analysts, and security professionals who want to understand and deploy Palo Alto Networks in their infrastructure. Anyone looking for in-depth knowledge of Palo Alto Network technologies, including those who currently use Palo Alto Network products, will find this book useful. Intermediate-level network administration knowledge is necessary to get started with this cybersecurity book.
AWS Cloud Practitioner Ultimate Cheat sheet, Practice Test Questions with detailed Explanations and Links will help with the learning and preparation a person needs to successfully complete the AWS Certified Cloud Practitioner (CLF-C01) course. The book has test questions at the end of each chapter to help gauge your understanding of each chapter. At the end of the book, there is a chapter with example exam questions to help prepare students for the CCP (CLF-C01) exam and assess how ready they are for it.
AWS Certified Cloud Practitioner (CLF-C01) course is the foundation and gateway course for anyone wanting to take the AWS certification path. The book has a chapter by chapter breakdown of the course objectives along with the tools, links, and resources needed to acquire this certification. It will help the student to master all the techniques and concepts in order to become well versed in both AWS and cloud computing concepts.
This study guide will help the student to:
Although students should have a basic understanding of basic information technology services, cloud computing concepts, or a basic understanding of AWS, this course is open to anyone. It is highly recommended for salespeople who are involved with cloud computing or AWS. It is also recommended for all levels of management in corporations who have or are about to implement AWS to gain a better understanding of the platform.
Remember you can never compare a well-structured (paid) book with free online resources like Youtube Channels, Discussion Forums and other online courses (mostly out-dated). Now if you are really serious about AWS Cloud Practitioner Certification then Scroll Up and Click the Buy Now ButtonThis book covers the most essential techniques for designing and building dependable distributed systems, from traditional fault tolerance to the blockchain technology. Topics include checkpointing and logging, recovery-orientated computing, replication, distributed consensus, Byzantine fault tolerance, as well as blockchain.
This book intentionally includes traditional fault tolerance techniques so that readers can appreciate better the huge benefits brought by the blockchain technology and why it has been touted as a disruptive technology, some even regard it at the same level of the Internet. This book also expresses a grave concern on using traditional consensus algorithms in blockchain because with the limited scalability of such algorithms, the primary benefits of using blockchain in the first place, such as decentralization and immutability, could be easily lost under cyberattacks.
This book offers an introduction to cloud computing and serverless computing for students, researchers and R&D organizations through several practical examples. Rather than focusing exclusively on the computational issues related to cloud computing, the authors focus on addressing the multidisciplinary applications of cloud computing for daily research work in public institutions and private companies in fields such as archaeology, geosciences, computer sciences, medicine and physics. The book also discusses the emergence of serverless computing over the last three years as a means to make computational infrastructures more apparent to users, avoiding the need to concern one's self with the type of server or computing machine needed to perform a computing task. These topics are presented from the perspective of users, researchers and decision-makers, and are approached based on the authors' collective experience on the use and adoption of cloud computing.
A comprehensive guide to rolling out Datadog to monitor infrastructure and applications running in both cloud and datacenter environments
Key Features:
Book Description:
Datadog is an essential cloud monitoring and operational analytics tool which enables the monitoring of servers, virtual machines, containers, databases, third-party tools, and application services. IT and DevOps teams can easily leverage Datadog to monitor infrastructure and cloud services, and this book will show you how.
The book starts by describing basic monitoring concepts and types of monitoring that are rolled out in a large-scale IT production engineering environment. Moving on, the book covers how standard monitoring features are implemented on the Datadog platform and how they can be rolled out in a real-world production environment. As you advance, you'll discover how Datadog is integrated with popular software components that are used to build cloud platforms. The book also provides details on how to use monitoring standards such as Java Management Extensions (JMX) and StatsD to extend the Datadog platform. Finally, you'll get to grips with monitoring fundamentals, learn how monitoring can be rolled out using Datadog proactively, and find out how to extend and customize the Datadog platform.
By the end of this Datadog book, you will have gained the skills needed to monitor your cloud infrastructure and the software applications running on it using Datadog.
What You Will Learn:
Who this book is for:
This book is for DevOps engineers, site reliability engineers (SREs), IT Production engineers, software developers and architects, cloud engineers, system administrators, and anyone looking to monitor and visualize their infrastructure and applications with Datadog. Basic working knowledge of cloud and infrastructure is useful. Working experience of Linux distribution and some scripting knowledge is required to fully take advantage of the material provided in the book.
This book is emphatically focused on the concept. Understanding the fundamental ideas, principles, and techniques is the essence of a good programmer. Only well-designed code has a chance of becoming part of a correct, reliable, and maintainable parallel and distributed system. Through this book, I hope that you will see the absolute necessity of understanding Parallel and Distributed Computing.
I have taken a top-down approach, addressing the issues to be resolved in the design of distributed systems and describing successful approaches in the form of abstract models, algorithms and detailed case studies of widely used systems.
The book aims to provide an understanding of the principles on which the parallel and distributed computing are based; their architecture, algorithms and design; and how it meets the demands of contemporary parallel and distributed applications. I began with a set of several chapters that together cover the building blocks for a study of parallel and distributed systems. The first few chapters provide a conceptual overview of the subject, outlining the characteristics of parallel and distributed systems and the challenges that must be addressed in their design: scalability, heterogeneity, security and failure handling being the most significant. These chapters also develop abstract models for understanding process interaction, failure and security.
Simply In Depth....
CompTIA Server+ is a global certification that validates the hands-on skills of IT professionals who install, manage and troubleshoot servers in data centers as well as on-premise and hybrid environments.
CompTIA Server+ is the only certification that can ensure that IT professionals at the administrator level are able to do the job in any environment because it is the only certification not restricted to a single platform. The exam covers essential hardware and software technologies of on-premise and hybrid server environments including high availability, cloud computing and scripting. The new exam includes performance-based questions that require the candidate to demonstrate multi-step knowledge to securely deploy, administer and troubleshoot servers.
CompTIA Server+ now features flexible training options including self-paced learning, live online training, custom training and labs to advance the career development of IT professionals in server administration.
Understand the basics of the Consul server and client architecture, and learn how to apply Consul for dynamic and secure service discovery, communication, and network connectivity automation
Key Features:
Book Description:
Within the elastic and dynamic nature of cloud computing, efficient and accurate service discovery provides the cornerstone for all communications. HashiCorp Consul facilitates this service discovery efficiently and securely, independent of the operating environment. This book will help you build a solid understanding of both the concepts and applications of HashiCorp Consul.
You'll begin by finding out what you can do with Consul, focusing on the conceptual views of configuration samples along with Terraform code to expedite lab environment and hands-on experimentation, which will enable you to apply Consul effectively in your everyday lives. As you advance, you'll learn how to set up your own Consul cluster and agents in a single datacenter or location and understand how Consul utilizes RAFT and GOSSIP protocols for communication. You'll also explore the practical applications of primary Consul use cases, including communication flows and configuration and code examples. With that knowledge, you'll extend Consul across datacenters to discuss the applicability of multiple regions, multiple clouds, and hybrid cloud environments.
By the end of this Consul book, you will have the tools needed to create and operate your own Consul cluster and be able to facilitate your service discovery and communication.
What You Will Learn:
Who this book is for:
If you are a solutions architect, DevOps engineer, or anyone new to the cloud-native framework looking to get started with using Consul, then this book is for you. Knowledge of Terraform is helpful but not necessary. A basic understanding of networking and Kubernetes systems will help you get the most out of this book.