In the book we'll deliver:
* An introduction to monitoring, metrics and measurement.
* A scalable framework for monitoring hosts (including Docker and containers), services and applications built on top of the Riemann event stream processor.
* Graphing and metric storage using Graphite and Grafana.
* Logging with Logstash.
* A framework for high quality and useful notifications
* Techniques for developing and building monitorable applications
* A capstone that puts all the pieces together to monitor a multi-tier application.
James Turnbull is the author of numerous technical books about engineering and infrastructure and is a long-time member of the open source community.
James is currently CTO at Empatico, an education technology start-up in New York. He was previously CTO at Kickstarter, VP of Services at Docker Inc, VP of Engineering at Venmo and at Puppet Labs running Operations and Professional Services.
This book is targeted at those working in the QA and Testing areas. The book does not cover testing basics, which QA professional are already familiar with—for example, writing a test plan or test case, and so on.What You Will LearnUnderstand the TCOE model, managed services, the structure of testing in Agile/DevOps engagements, factory models, and crowdsourcingImplement testing processes, practices, and automation tools in the Agile/DevOps life cycleAdapt to current technologies in social media, mobile, analytics and the CloudLeverage cognitive intelligence/machine-learning, robotics, and the Internet of Things in testingHow key industries/domains (consumer products and retail, energy and utilities, healthcare, telecom, and automotive) adapt to digital transformationFuture directions for the QA industry, consulting careers, testing profession, and professionalsIn Detail
The book is based on the author`s experience in leading and transforming large test engagements and architecting solutions for customer testing requirements/bids/problem areas. It targets the testing practitioner population and provides them with a single go-to place to find perspectives, practices, trends, tools, and solutions to test applications as they face the evolving digital world.
This book is divided into five parts where each part explores different aspects of testing in the real world. The first module explains the various testing engagement models. You will then learn how to efficiently test code in different life cycles. The book discusses the different aspects of Quality Analysis consideration while testing social media, mobile, analytics, and the Cloud. In the last module, you will learn about futuristic technologies to test software.
By the end of the book, you will understand the latest business and IT trends in digital transformation and learn the best practices to adopt for business assurance.Style and approach
This book is a compilation of the latest business and IT trends in digital transformation & Tools and Best Practices that QA professionals need to adopt for business assurance.
Mike Julian lays out a practical approach to designing and implementing effective monitoring—from your enterprise application down to the hardware in a datacenter, and everything between. Practical Monitoring provides you with straightforward strategies and tactics for designing and implementing a strong monitoring foundation for your company.
This book takes a unique vendor-neutral approach to monitoring. Rather than discuss how to implement specific tools, Mike teaches the principles and underlying mechanics behind monitoring so you can implement the lessons in any tool.
Practical Monitoring covers essential topics including:Monitoring antipatternsPrinciples of monitoring designHow to build an effective on-call rotationGetting metrics and logs out of your application
Applications of Security, Mobile, Analytic, and Cloud (SMAC) Technologies for Effective Information Processing and Management is a vital resource that discusses various research findings and innovations in the areas of big data analytics, mobile communication and mobile applications, distributed systems, and information security. With a focus on big data, the internet of things (IoT), mobile technologies, cloud computing, and information security, this book proves a vital resource for computer engineers, IT specialists, software developers, researchers, and graduate-level students seeking current research on SMAC technologies and information security management systems.
Information Systems Engineering: From Data Analysis to Process Networks presents the most current research on existing and emergent trends on conceptual modeling and information systems engineering, bridging the gap between research and practice by providing a much-needed reference point on the design of software systems that evolve seamlessly to adapt to rapidly changing business and organizational practices.
Docker book designed for SysAdmins, SREs, Operations staff, Developers and DevOps who are interested in deploying the open source container service Docker.
In this book, we'll walk you through installing, deploying, managing, and extending Docker. We're going to do that by first introducing you to the basics of Docker and its components. Then we'll start to use Docker to build containers and services to perform a variety of tasks.
We're going to take you through the development lifecycle, from testing to production, and see where Docker fits in and how it can make your life easier. We'll make use of Docker to build test environments for new projects, demonstrate how to integrate Docker with continuous integration workflow, and then how to build application services and platforms. Finally, we'll show you how to use Docker's API and how to extend Docker yourself.
We'll teach you how to:
* Install Docker.
* Take your first steps with a Docker container.
* Build Docker images.
* Manage and share Docker images.
* Run and manage more complex Docker containers.
* Deploy Docker containers as part of your testing pipeline.
* Build multi-container applications and environments.
* Learn about orchestration using Compose and Swarm for the orchestration of Docker containers and Consul for service discovery.
* Explore the Docker API.
* Getting Help and Extending Docker.
Linux administrators – if you want to build incredible, yet manageable virtualization solutions with KVM this is the book to get you there. It will help you apply what you already know to some tricky virtualization tasks.What You Will LearnExplore the ecosystem of tools that support Linux virtualizationFind out why KVM offers you a smarter way to unlock the potential of virtualizationImplement KVM virtualization using oVirtExplore the KVM architecture – so you can manage, scale and optimize it with easeMigrate your virtualized datacenter to the cloud for truly resource-efficient computingFind out how to integrate OpenStack with KVM to take full control of the cloudIn Detail
A robust datacenter is essential for any organization – but you don't want to waste resources. With KVM you can virtualize your datacenter, transforming a Linux operating system into a powerful hypervisor that allows you to manage multiple OS with minimal fuss.
This book doesn't just show you how to virtualize with KVM – it shows you how to do it well. Written to make you an expert on KVM, you'll learn to manage the three essential pillars of scalability, performance and security – as well as some useful integrations with cloud services such as OpenStack. From the fundamentals of setting up a standalone KVM virtualization platform, and the best tools to harness it effectively, including virt-manager, and kimchi-project, everything you do is built around making KVM work for you in the real-world, helping you to interact and customize it as you need it. With further guidance on performance optimization for Microsoft Windows and RHEL virtual machines, as well as proven strategies for backup and disaster recovery, you'll can be confident that your virtualized data center is working for your organization – not hampering it. Finally, the book will empower you to unlock the full potential of cloud through KVM. Migrating your physical machines to the cloud can be challenging, but once you've mastered KVM, it's a little easie.Style and approach
Combining advanced insights with practical solutions, Mastering KVM Virtualization is a vital resource for anyone that believes in the power of virtualization to help a business use resources more effectively.
The book contains:
Chapter 1: An Introduction to Terraform
Chapter 2: Installing Terraform
Chapter 3: Building our first application
Chapter 4: Provisioning and Terraform
Chapter 5: Collaborating with Terraform
Chapter 6: Building a multi-environment architecture
Chapter 7: Infrastructure testing
Updated for Terraform 0.12!
A book designed for SysAdmins, Operations staff, Developers and DevOps who are interested in deploying a log management solution using the open source Elasticsearch, Logstash & Kibana (ELK) stack.
In this book we will walk you through installing, deploying, managing and extending Logstash. We're going to do that by introducing you to Example.com, where you're going to start a new job as one of its SysAdmins. The first project you'll be in charge of is developing its new log management solution.
We'll teach you how to:
* Install and deploy Logstash.
* Ship events from a Logstash Shipper to a central Logstash server.
* Filter incoming events using a variety of techniques.
* Add structured logging to your applications.
* Output those events to a selection of useful destinations.
* Use Logstash's awesome web interface Kibana.
* Scale out your Logstash implementation as your environment grows.
* Quickly and easily extend Logstash to deliver additional functionality that you might need.
By the end of the book, you should have a functional and effective log management solution that you can deploy into your own environment.
Updated for Logstash and ELK 5.0.0!
Many experienced programmers try to bend Python to fit patterns they learned from other languages, and never discover Python features outside of their experience. With this book, those Python programmers will thoroughly learn how to become proficient in Python 3.
This book covers:Python data model: understand how special methods are the key to the consistent behavior of objectsData structures: take full advantage of built-in types, and understand the text vs bytes duality in the Unicode ageFunctions as objects: view Python functions as first-class objects, and understand how this affects popular design patternsObject-oriented idioms: build classes by learning about references, mutability, interfaces, operator overloading, and multiple inheritanceControl flow: leverage context managers, generators, coroutines, and concurrency with the concurrent.futures and asyncio packagesMetaprogramming: understand how properties, attribute descriptors, class decorators, and metaclasses work