Industrializing Financial Services with DevOps PDF Download

Author: Spyridon Maniotis
Publisher: Packt Publishing Ltd
ISBN: 1804612219
Category : Business & Economics
Languages : en
Pages : 364

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Book Description
Embrace best practices to advance and help evolve your DevOps operating model in the right direction and overcome common challenges that financial services organizations face. Purchase of the print or kindle book includes a free eBook in the PDF format. Key FeaturesDesign the right DevOps operating model for your organization through practical examplesGet insights into a variety of proven practices and concepts that you can employ during your DevOps adoptionGain a holistic view of the complete DevOps capabilities and mechanisms to be enabledBook Description In recent years, large financial services institutions have been embracing the concept of DevOps in the core of their digital transformation strategies. This book is inspired by real enterprise DevOps adoptions in the financial services industry and provides a comprehensive proven practice guide on how large corporate organizations can evolve their DevOps operating model. The book starts by outlining the fundamentals comprising a complete DevOps operating model. It continues with a zoom in on those fundamentals, combining adoption frameworks with real-life examples. You'll cover the three main themes underpinning the book's approach that include the concepts of 360°, at relevance, and speeds. You'll explore how a bank's corporate and technology strategy links to its enterprise DevOps evolution. The book also provides a rich array of proven practices on how to design and create a harmonious 360° DevOps operating model which should be enabled and adopted at relevance in a multi-speed context. It comes packed with real case studies and examples from the financial services industry that you can adopt in your organization and context. By the end of this book, you will have plenty of inspiration that you can take back to your organization and be able to apply the learning from pitfalls and success stories covered in the book. What you will learnUnderstand how a firm's corporate strategy can be translated to a DevOps enterprise evolutionEnable the pillars of a complete DevOps 360° operating modelAdopt DevOps at scale and at relevance in a multi-speed contextImplement proven DevOps practices that large incumbents banks followDiscover core DevOps capabilities that foster the enterprise evolutionSet up DevOps CoEs, platform teams, and SRE teamsWho this book is for This book is for DevOps practitioners, banking technologists, technology managers, business directors and transformation leads. Prior knowledge of fundamental DevOps terminologies and concepts and some experience practicing DevOps in large organizations will help you make the most out of this book.

Author: Spyridon Maniotis
Publisher: Packt Publishing
ISBN: 9781804614341
Category : Business & Economics
Languages : en
Pages : 0

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Book Description
Embrace best practices to advance and help evolve your DevOps operating model in the right direction and overcome common challenges that financial services organizations face. Purchase of the print or kindle book includes a free eBook in the PDF format. Key Features: Design the right DevOps operating model for your organization through practical examples Get insights into a variety of proven practices and concepts that you can employ during your DevOps adoption Gain a holistic view of the complete DevOps capabilities and mechanisms to be enabled Book Description: In recent years, large financial services institutions have been embracing the concept of DevOps at the core of their digital transformation strategies. This book is inspired by real enterprise DevOps adoptions in the financial services industry and provides a comprehensive proven practice guide on how large corporate organizations can evolve their DevOps operating model. The book starts by outlining the fundamentals comprising a complete DevOps operating model. It continues with a zoom in on those fundamentals, combining adoption frameworks with real-life examples. You'll cover the three main themes underpinning the book's approach that include the concepts of 360°, at relevance, and speeds. You'll explore how a bank's corporate and technology strategy links to its enterprise DevOps evolution. The book also provides a rich array of proven practices on how to design and create a harmonious 360° DevOps operating model which should be enabled and adopted at relevance in a multi-speed context. It comes packed with real case studies and examples from the financial services industry that you can adopt in your organization and context. By the end of this book, you will have plenty of inspiration that you can take back to your organization and be able to apply the learning from pitfalls and success stories covered in the book. What You Will Learn: Understand how a firm's corporate strategy can be translated to a DevOps enterprise evolution Enable the pillars of a complete DevOps 360° operating model Adopt DevOps at scale and at relevance in a multi-speed context Implement proven DevOps practices that large incumbents banks follow Discover core DevOps capabilities that foster the enterprise evolution Set up DevOps CoEs, platform teams, and SRE teams Who this book is for: This book is for DevOps practitioners, banking technologists, technology managers, business directors and transformation leads. Prior knowledge of fundamental DevOps terminologies and concepts and some experience practicing DevOps in large organizations will help you make the most out of this book.

Author: Dr. Suzette Johnson
Publisher: IT Revolution
ISBN: 1950508803
Category : Business & Economics
Languages : en
Pages : 322

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Book Description
The benefits of adopting agile ways of working are well-understood in the digital world. But those in cyber-physical systems (combining software, hardware, and firmware) think it is risky. But with today's speed of change, maybe the risk is in not changing. Industrial DevOps: Build Better Systems Faster shows readers how applying Agile and DevOps ways of working into cyber-physical systems presents the opportunity to reap huge rewards, including increased adaptability, shorter delivery schedules, reduced development cost, increased quality, and higher transparency into delivery. This book shows you how to couple the results of Agile and DevOps implementation in development with Lean and Agile in manufacturing. Through a successful application of 9 key principles, Industrial DevOps provides the foundational success patterns for the development of cyber-physical systems in the digital age. The benefits that have been obtained across industries can be transferred to the cyber-physical domain and they have the potential to provide an even greater impact in the delivery of products.

Author: Amar Deep Singh
Publisher: Packt Publishing Ltd
ISBN: 180323153X
Category : Computers
Languages : en
Pages : 602

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Book Description
Quickly deliver microservices with CodeCommit, CodeBuild, CodeDeploy, and CodePipeline using software architecture patterns, microservices, and release pipelines Purchase of the print or Kindle book includes a free PDF eBook Key Features Learn software architecture and microservices design patterns from an AWS certified professional architect Develop microservices using Spring Boot and automate the release using CodePipeline Deploy microservices using CodeDeploy to EC2 instances, containers, and on premises Book DescriptionReliable automation is crucial for any code change going into production. A release pipeline enables you to deliver features for your users efficiently and promptly. AWS CodePipeline, with its powerful integration and automation capabilities of building, testing, and deployment, offers a unique solution to common software delivery issues such as outages during deployment, a lack of standard delivery mechanisms, and challenges faced in creating sustainable pipelines. You’ll begin by developing a Java microservice and using AWS services such as CodeCommit, CodeArtifact, and CodeGuru to manage and review the source code. You’ll then learn to use the AWS CodeBuild service to build code and deploy it to AWS infrastructure and container services using the CodeDeploy service. As you advance, you’ll find out how to provision cloud infrastructure using CloudFormation templates and Terraform. The concluding chapters will show you how to combine all these AWS services to create a reliable and automated CodePipeline for delivering microservices from source code check-in to deployment without any downtime. Finally, you’ll discover how to integrate AWS CodePipeline with third-party services such as Bitbucket, Blazemeter, Snyk, and Jenkins. By the end of this microservices book, you’ll have gained the hands-on skills to build release pipelines for your applications.What you will learn Understand the basics of architecture patterns and microservice development Get to grips with the continuous integration and continuous delivery of microservices Delve into automated infrastructure provisioning with CloudFormation and Terraform Explore CodeCommit, CodeBuild, CodeDeploy, and CodePipeline services Get familiarized with automated code reviews and profiling using CodeGuru Grasp AWS Lambda function basics and automated deployment using CodePipeline Understand Docker basics and automated deployment to ECS and EKS Explore the CodePipeline integration with Jenkins Pipeline and on premises deployment Who this book is for This book is for software architects, DevOps engineers, SREs, and cloud engineers who want to learn more about automating their release pipelines for modifying features and releasing updates. Prior knowledge of AWS Cloud, Java, Maven, and Git will help you to get the most out of this book.

Author: Serkan Sakinmaz
Publisher: Packt Publishing Ltd
ISBN: 1804618071
Category : Computers
Languages : en
Pages : 224

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Book Description
A comprehensive guide to implementing Python applications in AWS while learning about key AWS services Purchase of the print or Kindle book includes a free PDF eBook Key Features Gain hands-on experience in AWS services to effectively implement Python programming Utilize Python with open source libraries to develop data pipelines, APIs, and database applications Leverage the power of AWS to create a cloud-based server and use monitoring and logging features Book Description AWS provides a vast variety of services for implementing Python applications, which can pose a challenge for those without an AWS background. This book addresses one of the more predominant problems of choosing the right service and stepping into the implementation of exciting Python apps using AWS. The book begins by showing you how to install Python and create an AWS account, before helping you explore AWS Lambda, EC2, Elastic Beanstalk, and S3 for Python programming. You'll then gain hands-on experience in using these services to build the Python application. As you advance, you'll discover how to debug Python apps using PyCharm, and then start deploying the Python applications on Elastic Beanstalk. You'll also learn how to monitor Python applications using the CloudWatch service, along with creating and publishing APIs on AWS to access the Python application. The concluding chapters will help you get to grips with storing unstructured and semi-structured data using NoSQL and DynamoDB, as well as advance your knowledge using the Glue serverless data integration service in AWS. By the end of this Python book, you'll be able to take your application development skills up a notch with AWS services and advance in your career. What you will learn Understand the fundamentals of AWS services for Python programming Find out how to configure AWS services to build Python applications Run and deploy Python applications using Lambda, EC2, and Elastic Beanstalk Provision EC2 servers on AWS and run Python applications Debug and monitor Python applications using PyCharm and CloudWatch Understand database operations on AWS by learning about DynamoDB and RDS Explore the API gateway service on AWS using Python to grasp API programming Who this book is for This book is for cloud developers, software developers, and IT specialists who want to develop Python applications on AWS as well as learn the concepts underlying AWS services for implementing the applications. Experience in Python programming is needed to be able to implement the applications on AWS.

Author: Maulik Soni
Publisher: Packt Publishing Ltd
ISBN: 1801819874
Category : Computers
Languages : en
Pages : 256

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Book Description
Drive financial visibility, set cost optimization goals, and reap savings for your organization with proven practices and invaluable insights Purchase of the print or Kindle book includes a free PDF eBook Key Features Build a FinOps team and foster cross-organizational collaboration to optimize costs Gain a deep insight into resource usage and rates to unlock the secrets of cost optimization Apply your FinOps expertise to run a successful practice, reinvesting savings into new feature development Book Description To gain a competitive edge in today's unpredictable economic climate, you'll need to unravel the mystery of saving costs on Microsoft Azure Cloud. This book helps you do just that with proven strategies for building, running, and sustaining repeated cost optimization initiatives across your organization. You'll learn how to collaborate with finance, procurement, product, and engineering teams to optimize your cloud spend and achieve cost savings that can make a significant impact on your bottom line. The book begins by showing you how to effectively monitor and manage your cloud usage, identify cost-saving opportunities, and implement changes that'll reduce your overall spend. Whether you're a small start-up or a large enterprise, this book will equip you with the knowledge and skills needed to achieve cost savings and maintain a lean cloud infrastructure. As you advance, you'll find out how to benchmark your current cloud spend and establish a budget for cloud usage. Throughout the chapters, you'll learn how to negotiate with your cloud provider to optimize your rate, allocate cost for the container, and gain a solid understanding of metric-driven cost optimization. By the end of this FinOps book, you'll have become proficient in Azure Cloud financial management with the help of real-world examples, use cases, and scenarios. What you will learn Get the grip of all the activities of FinOps phases for Microsoft Azure Understand architectural patterns for interruptible workload on Spot VMs Optimize savings with Reservations, Savings Plans, Spot VMs Analyze waste with customizable pre-built workbooks Write an effective financial business case for savings Apply your learning to three real-world case studies Forecast cloud spend, set budgets, and track accurately Who this book is for This book is for cloud governance experts, finance managers, procurement specialists, product developers, and engineering teams looking to get clear and actionable guidance needed to implement all the phases of the FinOps life cycle in the Microsoft Azure context. This book is ideal for anyone with a basic understanding of financial terms, analytics tools, and the Azure cloud.

Author: Sanjeev Sharma
Publisher: John Wiley & Sons
ISBN: 1119310768
Category : Computers
Languages : en
Pages : 416

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Book Description
Deliver High-Value, Streamlined Enterprise Applications and Systems with DevOps Enterprise IT has unique needs, capabilities, limitations, and challenges. DevOps is perfectly suited to deliver high-value applications and systems with velocity and agility, enabling innovation and speed while never sacrificing quality. But until now, most DevOps instruction has been focused on start-ups and born-on-the-web companies with an entirely different set of requirements. In The DevOps Adoption Playbook, IBM Distinguished Engineer Sanjeev Sharma shows you exactly how to adopt DevOps in the enterprise based on your organization's business goals, current state of IT maturity, and IT technologies and platforms. Derived from his own experience helping companies in a wide variety of industries to successfully adopt DevOps, it outlines how to get your organization on board, meet the challenges, and move into the fast lane. Like a sports playbook, this guide provides "plays" that can be executed for different scenarios and situations within your company. You will learn to create an individual game plan that factors in specifics of your business and get your team working together with a common goal. The DevOps Adoption Playbook shows you how to: Understand the elements and capabilities of DevOps Respond to the challenges of a multi-speed IT environment Identify the business goals that large enterprises can meet with DevOps Implement DevOps in large-scale enterprise IT environments Achieve high-value innovation and optimization with low cost and risk Exceed business goals with higher product release efficiency Apply DevOps across multiple technologies from mainframe, mobile, containers, microservices, to cloud technologies

Author: John K. Thompson
Publisher: Packt Publishing Ltd
ISBN: 180020518X
Category : Computers
Languages : en
Pages : 395

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Book Description
Master the skills necessary to hire and manage a team of highly skilled individuals to design, build, and implement applications and systems based on advanced analytics and AI Key FeaturesLearn to create an operationally effective advanced analytics team in a corporate environmentSelect and undertake projects that have a high probability of success and deliver the improved top and bottom-line resultsUnderstand how to create relationships with executives, senior managers, peers, and subject matter experts that lead to team collaboration, increased funding, and long-term success for you and your teamBook Description In Building Analytics Teams, John K. Thompson, with his 30+ years of experience and expertise, illustrates the fundamental concepts of building and managing a high-performance analytics team, including what to do, who to hire, projects to undertake, and what to avoid in the journey of building an analytically sound team. The core processes in creating an effective analytics team and the importance of the business decision-making life cycle are explored to help achieve initial and sustainable success. The book demonstrates the various traits of a successful and high-performing analytics team and then delineates the path to achieve this with insights on the mindset, advanced analytics models, and predictions based on data analytics. It also emphasizes the significance of the macro and micro processes required to evolve in response to rapidly changing business needs. The book dives into the methods and practices of managing, developing, and leading an analytics team. Once you've brought the team up to speed, the book explains how to govern executive expectations and select winning projects. By the end of this book, you will have acquired the knowledge to create an effective business analytics team and develop a production environment that delivers ongoing operational improvements for your organization. What you will learnAvoid organizational and technological pitfalls of moving from a defined project to a production environmentEnable team members to focus on higher-value work and tasksBuild Advanced Analytics and Artificial Intelligence (AA&AI) functions in an organizationOutsource certain projects to competent and capable third partiesSupport the operational areas that intend to invest in business intelligence, descriptive statistics, and small-scale predictive analyticsAnalyze the operational area, the processes, the data, and the organizational resistanceWho this book is for This book is for senior executives, senior and junior managers, and those who are working as part of a team that is accountable for designing, building, delivering and ensuring business success through advanced analytics and artificial intelligence systems and applications. At least 5 to 10 years of experience in driving your organization to a higher level of efficiency will be helpful.

Author: Ian Neil
Publisher: Packt Publishing Ltd
ISBN: 1800566344
Category : Computers
Languages : en
Pages : 550

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Book Description
Learn IT security essentials and prepare for the Security+ exam with this CompTIA exam guide, complete with additional online resources—including flashcards, PBQs, and mock exams—at securityplus.training Key Features Written by Ian Neil, one of the world's top CompTIA Security+ trainers Test your knowledge of cybersecurity jargon and acronyms with realistic exam questions Learn about cryptography, encryption, and security policies to deliver a robust infrastructure Book DescriptionThe CompTIA Security+ certification validates the fundamental knowledge required to perform core security functions and pursue a career in IT security. Authored by Ian Neil, a world-class CompTIA certification trainer, this book is a best-in-class study guide that fully covers the CompTIA Security+ 601 exam objectives. Complete with chapter review questions, realistic mock exams, and worked solutions, this guide will help you master the core concepts to pass the exam the first time you take it. With the help of relevant examples, you'll learn fundamental security concepts from certificates and encryption to identity and access management (IAM). As you progress, you'll delve into the important domains of the exam, including cloud security, threats, attacks and vulnerabilities, technologies and tools, architecture and design, risk management, cryptography, and public key infrastructure (PKI). You can access extra practice materials, including flashcards, performance-based questions, practical labs, mock exams, key terms glossary, and exam tips on the author's website at securityplus.training. By the end of this Security+ book, you'll have gained the knowledge and understanding to take the CompTIA exam with confidence.What you will learn Master cybersecurity fundamentals, from the CIA triad through to IAM Explore cloud security and techniques used in penetration testing Use different authentication methods and troubleshoot security issues Secure the devices and applications used by your company Identify and protect against various types of malware and viruses Protect yourself against social engineering and advanced attacks Understand and implement PKI concepts Delve into secure application development, deployment, and automation Who this book is for If you want to take and pass the CompTIA Security+ SY0-601 exam, even if you are not from an IT background, this book is for you. You’ll also find this guide useful if you want to become a qualified security professional. This CompTIA book is also ideal for US Government and US Department of Defense personnel seeking cybersecurity certification.

Author: Mark Ryan
Publisher: Packt Publishing
ISBN: 9781800208100
Category :
Languages : en
Pages : 308

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Book Description
Harness the power of the easy-to-use, high-performance fastai framework to rapidly create complete deep learning solutions with few lines of code Key Features: Discover how to apply state-of-the-art deep learning techniques to real-world problems Build and train neural networks using the power and flexibility of the fastai framework Use deep learning to tackle problems such as image classification and text classification Book Description: fastai is an easy-to-use deep learning framework built on top of PyTorch that lets you rapidly create complete deep learning solutions with as few as 10 lines of code. Both predominant low-level deep learning frameworks, TensorFlow and PyTorch, require a lot of code, even for straightforward applications. In contrast, fastai handles the messy details for you and lets you focus on applying deep learning to actually solve problems. The book begins by summarizing the value of fastai and showing you how to create a simple 'hello world' deep learning application with fastai. You'll then learn how to use fastai for all four application areas that the framework explicitly supports: tabular data, text data (NLP), recommender systems, and vision data. As you advance, you'll work through a series of practical examples that illustrate how to create real-world applications of each type. Next, you'll learn how to deploy fastai models, including creating a simple web application that predicts what object is depicted in an image. The book wraps up with an overview of the advanced features of fastai. By the end of this fastai book, you'll be able to create your own deep learning applications using fastai. You'll also have learned how to use fastai to prepare raw datasets, explore datasets, train deep learning models, and deploy trained models. What You Will Learn: Prepare real-world raw datasets to train fastai deep learning models Train fastai deep learning models using text and tabular data Create recommender systems with fastai Find out how to assess whether fastai is a good fit for a given problem Deploy fastai deep learning models in web applications Train fastai deep learning models for image classification Who this book is for: This book is for data scientists, machine learning developers, and deep learning enthusiasts looking to explore the fastai framework using a recipe-based approach. Working knowledge of the Python programming language and machine learning basics is strongly recommended to get the most out of this deep learning book.