Designing Distributed Systems
Patterns and Paradigms for Scalable, Reliable Services
|Price||$27.01 - $51.99
|Format||Paper book / ebook (PDF)|
In the race to compete in today's fast-moving markets, large enterprises are busy adopting new technologies for creating new products, processes, and business models. But one obstacle on the road to digital transformation is placing too much emphasis on technology, and not enough on the types of processes technology enables. What if different lines of business could build their own services and applications - and decision-making was distributed rather than centralized?
This report explores the concept of a digital business platform as a way of empowering individual business sectors to act on data in real time. Much innovation in a digital enterprise will increasingly happen at the edge, whether it involves business users (from marketers to data scientists) or IoT devices. To facilitate the process, your core IT team can provide these sectors with the digital tools they need to innovate quickly.
This report explores: Key cultural and organizational changes for developing business capabilities through cross-functional product teams; A platform for integrating applications, data sources, business partners, clients, mobile apps, social networks, and IoT devices; Creating internal API programs for building innovative edge services in low-code or no-code environments; Tools including Integration Platform as a Service, Application Platform as a Service, and Integration Software as a Service; The challenge of integrating microservices and serverless architectures; Event-driven architectures for processing and reacting to events in real time.
You'll also learn about a complete pervasive integration solution as a core component of a digital business platform to serve every audience in your organization.
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by Guanhua Wang
Reducing time cost in machine learning leads to a shorter waiting time for model training and a faster model updating cycle. Distributed machine learning enables machine learning practitioners to shorten model training and inference time by orders of magnitude. With the help of this practical guide, you'll be able to put your Python ...
Price: $46.99 | Publisher: Packt Publishing | Release: 2022
by Jean-Marc Pierson
With concerns about global energy consumption at an all-time high, improving computer networks energy efficiency is becoming an increasingly important topic. Large-Scale Distributed Systems and Energy Efficiency: A Holistic View addresses innovations in technology relating to the energy efficiency of a wide variety of contemporary compute...
Price: $11.82 | Publisher: Wiley | Release: 2015
by Richard Astbury
Use a simple programming model and the .NET language of your choice to build large distributed systems. This book teaches you the Microsoft Orleans framework.Even well-versed professional software developers with expertise in C# (or another language) find themselves unequipped to meet the challenges of distributed systems as infrastructur...
Price: $35.71 | Publisher: Apress | Release: 2022
by Serge Haddad, Fabrice Kordon, Laurent Pautet, Laure Petrucci
Nowadays, distributed systems are increasingly present, for public software applications as well as critical systems. software applications as well as critical systems. This title and Distributed Systems: Design and Algorithms - from the same editors - introduce the underlying concepts, the associated design techniques and the related sec...
Price: $112.14 | Publisher: Wiley | Release: 2011
by Chip Huyen
Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are re...
Price: $43.49 | Publisher: O'Reilly Media | Release: 2022
by Martin Kleppmann
Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. ...
Price: $32.91 | Publisher: O'Reilly Media | Release: 2017
by Michael Nash, Wade Waldron
When it comes to big data processing, we can no longer ignore concurrency or try to add it in after the fact. Fortunately, the solution is not a new paradigm of development, but rather an old one. With this hands-on guide, Java and Scala developers will learn how to embrace concurrent and distributed applications with the open source Akka...
Price: $27.67 | Publisher: O'Reilly Media | Release: 2016
by Sam Newman
Distributed systems have become more fine-grained in the past 10 years, shifting from code-heavy monolithic applications to smaller, self-contained microservices. But developing these systems brings its own set of headaches. With lots of examples and practical advice, this book takes a holistic view of the topics that system architects an...
Price: $39.49 | Publisher: O'Reilly Media | Release: 2015