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Cloud Native Architectures For Digital Banking A Practical Guide To Building Scalable Financial Platforms With Microservices And Aws

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Cloud Native Architectures For Digital Banking A Practical Guide To Building Scalable Financial Platforms With Microservices And Aws

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Author : Balkishan Arugula
language : en
Publisher: Libertatem Media Private Limited
Release Date : 2024-04-19

Cloud Native Architectures For Digital Banking A Practical Guide To Building Scalable Financial Platforms With Microservices And Aws written by Balkishan Arugula and has been published by Libertatem Media Private Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-19 with Computers categories.

In the age of digital transformation, financial institutions are under growing pressure to deliver agile, secure, and highly scalable digital services. Cloud-Native Architectures for Digital Banking is a comprehensive, real-world guide for architects, engineers, and IT leaders seeking to modernize banking systems using microservices, cloud-native patterns, and AWS technologies. Written by veteran architect Balkishan Arugula, this book explores the full transformation journey —from legacy constraints to cloud-enabled innovation. It covers foundational cloud-native principles, microservice design, DevSecOps practices, real-time analytics, regulatory compliance, and domain-driven architecture tailored specifically for the financial services industry. With deep dives into serverless and containerized solutions, identity and access management, observability, and secure data strategies, readers will gain the tools to build robust, cost-efficient, and resilient digital banking platforms. Detailed case studies—spanning neobank implementation to legacy modernization—highlight real-world strategies that enable banks to reduce technical debt, accelerate time-to-market, and drive continuous innovation. Whether you're building from scratch or modernizing a legacy core, Cloud-Native Architectures for Digital Banking offers a strategic blueprint for achieving scalable growth, regulatory compliance, and technology excellence in today’s competitive financial landscape.

Cloud Native Architectures For Digital Banking A Practical Guide To Building Scalable Financial Platforms With Microservices And Aws

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Author : Balkishan Arugula
language : en
Publisher: Libertatem Media Private Limited
Release Date : 2024-04-19

Design Patterns For Cloud Native Applications

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Author : Kasun Indrasiri
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2021-05-17

Design Patterns For Cloud Native Applications written by Kasun Indrasiri and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-17 with Computers categories.

With the immense cost savings and scalability the cloud provides, the rationale for building cloud native applications is no longer in question. The real issue is how. With this practical guide, developers will learn about the most commonly used design patterns for building cloud native applications using APIs, data, events, and streams in both greenfield and brownfield development. You'll learn how to incrementally design, develop, and deploy large and effective cloud native applications that you can manage and maintain at scale with minimal cost, time, and effort. Authors Kasun Indrasiri and Sriskandarajah Suhothayan highlight use cases that effectively demonstrate the challenges you might encounter at each step. Learn the fundamentals of cloud native applications Explore key cloud native communication, connectivity, and composition patterns Learn decentralized data management techniques Use event-driven architecture to build distributed and scalable cloud native applications Explore the most commonly used patterns for API management and consumption Examine some of the tools and technologies you'll need for building cloud native systems

Design Patterns For Cloud Native Applications

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Author : Kasun Indrasiri
language : en
Publisher: O'Reilly Media
Release Date : 2021-05-31

Design Patterns For Cloud Native Applications written by Kasun Indrasiri and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-31 with categories.

With the immense cost savings and scalability the cloud provides, the rationale for building cloud native applications is no longer in question. The real issue is how. With this practical guide, developers will gain experience building cloud native applications using APIs, data, events, and streams in both greenfield and brownfield development. You'll learn how to incrementally design, develop, and deploy large and effective cloud native applications that you can manage and maintain at scale with minimal cost, time, and effort. Authors Sriskandarajah Suhothayan and Kasun Indrasiri highlight use cases that effectively demonstrate the challenges you could encounter at each step. Explore the issues you're likely to deal with when building highly scalable cloud native applications Learn design patterns for addressing these issues--and best practices to help you apply them Examine the tools and technologies essential for building cloud native systems Implement scalable cloud native applications that are manageable and maintainable Use patterns for building applications that are appropriate for specific use cases

Cloud Native Architectures

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Author : Tom Laszewski
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-08-31

Cloud Native Architectures written by Tom Laszewski and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-31 with Computers categories.

Learn and understand the need to architect cloud applications and migrate your business to cloud efficiently Key Features Understand the core design elements required to build scalable systems Plan resources and technology stacks effectively for high security and fault tolerance Explore core architectural principles using real-world examples Book Description Cloud computing has proven to be the most revolutionary IT development since virtualization. Cloud native architectures give you the benefit of more flexibility over legacy systems. To harness this, businesses need to refresh their development models and architectures when they find they don’t port to the cloud. Cloud Native Architectures demonstrates three essential components of deploying modern cloud native architectures: organizational transformation, deployment modernization, and cloud native architecture patterns. This book starts with a quick introduction to cloud native architectures that are used as a base to define and explain what cloud native architecture is and is not. You will learn what a cloud adoption framework looks like and develop cloud native architectures using microservices and serverless computing as design principles. You’ll then explore the major pillars of cloud native design including scalability, cost optimization, security, and ways to achieve operational excellence. In the concluding chapters, you will also learn about various public cloud architectures ranging from AWS and Azure to the Google Cloud Platform. By the end of this book, you will have learned the techniques to adopt cloud native architectures that meet your business requirements. You will also understand the future trends and expectations of cloud providers. What you will learn Learn the difference between cloud native and traditional architecture Explore the aspects of migration, when and why to use it Identify the elements to consider when selecting a technology for your architecture Automate security controls and configuration management Use infrastructure as code and CICD pipelines to run environments in a sustainable manner Understand the management and monitoring capabilities for AWS cloud native application architectures Who this book is for Cloud Native Architectures is for software architects who are keen on designing resilient, scalable, and highly available applications that are native to the cloud.

Cloud Native Development Patterns And Best Practices

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Author : John Gilbert
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-02-09

Cloud Native Development Patterns And Best Practices written by John Gilbert and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-09 with Computers categories.

Learn to apply cloud-native patterns and practices to deliver responsive, resilient, elastic, and message-driven systems with confidence Key Features Understand the architectural patterns involved in cloud-native architectures Minimize risk by evolving your monolithic applications into distributed cloud-native systems Discover best practices for applying cloud-native patterns to your enterprise-level cloud applications Book Description Build systems that leverage the benefits of the cloud and applications faster than ever before with cloud-native development. This book focuses on architectural patterns for building highly scalable cloud-native systems. You will learn how the combination of cloud, reactive principles, devops, and automation enable teams to continuously deliver innovation with confidence. Begin by learning the core concepts that make these systems unique. You will explore foundational patterns that turn your database inside out to achieve massive scalability with cloud-native databases. You will also learn how to continuously deliver production code with confidence by shifting deployment and testing all the way to the left and implementing continuous observability in production. There's more—you will also learn how to strangle your monolith and design an evolving cloud-native system. By the end of the book, you will have the ability to create modern cloud-native systems. What you will learn Enable massive scaling by turning your database inside out Unleash flexibility via event streaming Leverage polyglot persistence and cloud-native databases Embrace modern continuous delivery and testing techniques Minimize risk by evolving your monoliths to cloud-native Apply cloud-native patterns and solve major architectural problems in cloud environment Who this book is for This book is for developers who would like to progress into building cloud-native systems and are keen to learn the patterns involved. Basic knowledge of programming and cloud computing is required.

Cloud Native Financial Systems From Legacy To Real Time Intelligence 2025

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Author : AUTHOR-1: Vamsi Krishna Koganti, AUTHOR-2: Dr.Gauri Shanker Kushwaha
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :

Cloud Native Financial Systems From Legacy To Real Time Intelligence 2025 written by AUTHOR-1: Vamsi Krishna Koganti, AUTHOR-2: Dr.Gauri Shanker Kushwaha and has been published by YASHITA PRAKASHAN PRIVATE LIMITED this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

PREFACE Cloud-Native Financial Systems: From Legacy to Real-Time Intelligence presents a comprehensive roadmap for transforming traditional financial infrastructures into agile, resilient, and intelligent systems using cloud-native principles. As the financial industry undergoes unprecedented digital disruption, institutions are compelled to modernize core systems, embrace real-time processing, and meet the growing demands for security, interoperability, and innovation. This book serves as a strategic and technical guide for IT leaders, cloud architects, developers, compliance officers, and financial technology professionals driving this transformation. The financial sector faces a dual challenge: retaining trust through reliability and compliance while accelerating the delivery of new, intelligent products in an increasingly competitive digital ecosystem. Traditional monolithic architectures, legacy batch processing systems, and siloed databases no longer meet the expectations of real-time insights, 24/7 accessibility, and scalable innovation. Cloud-native technologies—comprising containerization, microservices, serverless computing, API-first design, DevSecOps, and AI/ML—offer the foundation to not only re-architect aging platforms but also reimagine financial services for the future. This book is structured to follow the logical arc of digital transformation. Chapter 1 sets the stage with an introduction to the need and impact of cloud-native adoption in finance. Chapter 2 explores the constraints and opportunities within legacy systems. Chapter 3 details cloud architecture principles tailored to financial workloads. Chapter 4 and Chapter 5 dive into the technologies of containerization and real-time data processing. Chapter 6 emphasizes API-first design, while Chapter 7 tackles critical concerns around security, compliance, and governance. In Chapter 8, we explore the power of cloud-native data lakes in extracting financial intelligence. Chapter 9 explains DevOps and CI/CD strategies within highly regulated environments. Chapter 10 introduces intelligent automation through AI/ML, and finally, Chapter 11 focuses on business continuity, resilience, and observability as foundational pillars of trust and uptime. Whether you’re modernizing a legacy banking core, building fintech platforms from scratch, or engineering intelligent analytics pipelines, this book will help you understand not only what needs to change—but how to design, implement, and scale cloud-native systems that are compliant, scalable, and future-ready. Authors

Hands On Artificial Intelligence For Banking

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Author : Jeffrey Ng
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-07-10

Hands On Artificial Intelligence For Banking written by Jeffrey Ng and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-10 with Computers categories.

Delve into the world of real-world financial applications using deep learning, artificial intelligence, and production-grade data feeds and technology with Python Key FeaturesUnderstand how to obtain financial data via Quandl or internal systemsAutomate commercial banking using artificial intelligence and Python programsImplement various artificial intelligence models to make personal banking easyBook Description Remodeling your outlook on banking begins with keeping up to date with the latest and most effective approaches, such as artificial intelligence (AI). Hands-On Artificial Intelligence for Banking is a practical guide that will help you advance in your career in the banking domain. The book will demonstrate AI implementation to make your banking services smoother, more cost-efficient, and accessible to clients, focusing on both the client- and server-side uses of AI. You’ll begin by understanding the importance of artificial intelligence, while also gaining insights into the recent AI revolution in the banking industry. Next, you’ll get hands-on machine learning experience, exploring how to use time series analysis and reinforcement learning to automate client procurements and banking and finance decisions. After this, you’ll progress to learning about mechanizing capital market decisions, using automated portfolio management systems and predicting the future of investment banking. In addition to this, you’ll explore concepts such as building personal wealth advisors and mass customization of client lifetime wealth. Finally, you’ll get to grips with some real-world AI considerations in the field of banking. By the end of this book, you’ll be equipped with the skills you need to navigate the finance domain by leveraging the power of AI. What you will learnAutomate commercial bank pricing with reinforcement learningPerform technical analysis using convolutional layers in KerasUse natural language processing (NLP) for predicting market responses and visualizing them using graph databasesDeploy a robot advisor to manage your personal finances via Open Bank APISense market needs using sentiment analysis for algorithmic marketingExplore AI adoption in banking using practical examplesUnderstand how to obtain financial data from commercial, open, and internal sourcesWho this book is for This is one of the most useful artificial intelligence books for machine learning engineers, data engineers, and data scientists working in the finance industry who are looking to implement AI in their business applications. The book will also help entrepreneurs, venture capitalists, investment bankers, and wealth managers who want to understand the importance of AI in finance and banking and how it can help them solve different problems related to these domains. Prior experience in the financial markets or banking domain, and working knowledge of the Python programming language are a must.

Multi Cloud Handbook For Developers

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Author : Subash Natarajan
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-02-29

Multi Cloud Handbook For Developers written by Subash Natarajan and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-29 with Computers categories.

Explore proven techniques and best practices for designing, deploying, and managing cloud-native applications in multi-cloud environments with the help of real-world examples, success stories, and emerging technologies Key Features Discover optimal solutions in multi-cloud environments using AWS, Azure, and GCP tools and technologies Excel in designing, developing, and securing cloud-native apps with Docker, Kubernetes, and Istio Learn design patterns, cost optimization, best practices, and pitfalls to avoid in multi-cloud apps Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionUnleash the power of cloud computing with Multi-Cloud Handbook for Developers, your guide to mastering the nuances of cloud-native and multi-cloud, covering practical strategies for design, development, and management. Explore the essential concepts, challenges, and methodologies critical for navigating the complex landscape of modern cloud computing. Using core architectural and design principles (such as microservices and 12-factor architecture) and advanced strategies (such as distributed application design patterns, domain-driven design (DDD), and API-first strategies), you’ll learn how to build portable and efficient apps across various cloud platforms. You’ll understand how to leverage Infrastructure as Code (IaC), continuous integration and deployment (CI/CD), GitOps, and DevOps practices, along with containerization and orchestration techniques using Docker and Kubernetes. You’ll also get to grips with data, security, compliance, and cloud cost management strategies in multi-cloud environments. With real-world case studies, best practices, and insights into future trends, this book will equip you with the skills to develop, manage, troubleshoot, and innovate cloud-native applications across diverse cloud platforms, positioning you at the forefront of the cloud computing revolution.What you will learn Understand the core structures and implications of cloud-native and multi-cloud apps Explore key principles and patterns to build agile, scalable, and future-proof apps Master cloud-native essentials: service mesh, DDD, and API-centric approaches Implement deployment pipelines with advanced IaC, CI/CD, DevSecOps, and GitOps techniques Manage and monitor data, security, compliance, and identity access in multi-cloud scenarios Optimize your cloud costs with shift-left and FinOps practices Get ready for the future of cloud-native and multi-cloud technology Who this book is for Ideal for cloud-native and cloud developers, platform engineers, software architects, and IT professionals focused on building and managing cloud-native applications in multi-cloud environments, this book is an indispensable guide for students and researchers seeking insights into cloud-native concepts and multi-cloud architectures. A basic understanding of cloud computing, contemporary software development, system design, and cloud platforms such as AWS, Azure, and GCP, will prove useful.

Architecting Cloud Native Applications

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Author : Kamal Arora
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-04-16

Architecting Cloud Native Applications written by Kamal Arora and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-16 with Computers categories.

Apply cloud native patterns and practices to deliver responsive, resilient, elastic, and message-driven systems with confidence Key FeaturesDiscover best practices for applying cloud native patterns to your cloud applicationsExplore ways to effectively plan resources and technology stacks for high security and fault toleranceGain insight into core architectural principles using real-world examplesBook Description Cloud computing has proven to be the most revolutionary IT development since virtualization. Cloud native architectures give you the benefit of more flexibility over legacy systems. This Learning Path teaches you everything you need to know for designing industry-grade cloud applications and efficiently migrating your business to the cloud. It begins by exploring the basic patterns that turn your database inside out to achieve massive scalability. You’ll learn how to develop cloud native architectures using microservices and serverless computing as your design principles. Then, you’ll explore ways to continuously deliver production code by implementing continuous observability in production. In the concluding chapters, you’ll learn about various public cloud architectures ranging from AWS and Azure to the Google Cloud Platform, and understand the future trends and expectations of cloud providers. By the end of this Learning Path, you’ll have learned the techniques to adopt cloud native architectures that meet your business requirements. This Learning Path includes content from the following Packt products: Cloud Native Development Patterns and Best Practices by John GilbertCloud Native Architectures by Erik Farr et al.What you will learnUnderstand the difference between cloud native and traditional architectureAutomate security controls and configuration managementMinimize risk by evolving your monolithic systems into cloud native applicationsExplore the aspects of migration, when and why to use itApply modern delivery and testing methods to continuously deliver production codeEnable massive scaling by turning your database inside outWho this book is for This Learning Path is designed for developers who want to progress into building cloud native systems and are keen to learn the patterns involved. Software architects, who are keen on designing scalable and highly available cloud native applications, will also find this Learning Path very useful. To easily grasp these concepts, you will need basic knowledge of programming and cloud computing.

Cloud Native Architectures For Digital Banking A Practical Guide To Building Scalable Financial Platforms With Microservices And Aws

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