Ergebnis für "Das System" in Programmieren & Softwareentwicklung

KI ist in deutschen Unternehmen angekommen. Nicht als Zukunftsvision, sondern als tägliche Realität. Die Frage lautet nicht mehr ob, sondern wer diesen Wandel gestaltet. Dieses Hörbuch richtet sich an Führungskräfte, die bereits Verantwortung tragen: Abteilungsleiter, Bereichsleiter, Geschäftsführer. Menschen, die unter echtem Druck urteilen, Teams durch Veränderungen führen und Entscheidungen verantworten, deren Grundlagen sich gerade verschieben. Kein Silicon-Valley-Hype. Keine Technologievorlesung. Sondern klare Antworten auf die Fragen, die wirklich zählen: Was kann KI tatsächlich leisten?

The system design interview is one of the hardest challenges you'll face in the software engineering hiring process. This practical book gives you the insights, the skills, and the hands-on practice you need to ace the toughest system design interview questions and land the job and salary you want.

Stop fighting symptoms. Start finding solutions. Discover the systems thinking tools that actually work. In Signals & Levers, Elisabeth Hendrickson—former VP R&D at Pivotal and author of the enduring Explore It!—and Joel Tosi—who has spent 25+ years delivering software and a decade helping teams stop “change theater”—teach you to see through the illusions that plague every software organization. Using tools from statistical process control, systems thinking, and economic theory, they show you how to identify real problems and find the levers that create lasting change.

Generative AI has revolutionized how organizations tackle problems, accelerating the journey from concept to prototype to solution. As the models become increasingly capable, we have witnessed a new design pattern emerge: AI agents. By combining tools, knowledge, memory, and learning with advanced foundation models, we can now sequence multiple model inferences together to solve ambiguous and difficult problems. From coding agents to research agents to analyst agents and more, we've already seen agents accelerate teams and organizations.

A decade ago, developers built information-sharing software by writing a lot of custom code in a single code base, then adding layers of caching. Now we build information systems: interdependent software and services, data platforms, and event streams. Many of our software-to-systems initiatives fail, though, and when they do, we double down on traditional linear approaches. But linear thinking cannot resolve systems challenges. We need to shift to systems thinking.

Written by an expert who has created systems ranging from DNA scanners to children's toys, this book is ideal for intermediate and experienced programmers, no matter what platform you use. This expanded second edition includes new chapters on IoT and networked sensors, motors and movement, debugging, data handling strategies, and more.

Learn Linux from the ground up — even if you have never used the command line before.Linux powers servers, cloud platforms, development environments, cybersecurity tools, business systems, and much of the modern internet. But for beginners, it can feel confusing, technical, and hard to...

Getting to the good solutions of complex management challenges can make the difference between fulfillment and frustration for teams, and, ultimately, the success or failure of companies. Will Larson's An Elegant Puzzle orients around the particular challenges of engineering management - from sizing teams to technical debt to succession planning - and provides a path to the good solutions.

As organizations shift from monolithic applications to smaller, self-contained microservices, distributed systems have become more fine-grained. But developing these new systems brings its own host of problems. This expanded second edition takes a holistic view of topics that you need to consider when building, managing, and scaling microservices architectures. Through clear examples and practical advice, author Sam Newman gives everyone from architects and developers to testers and IT operators a firm grounding in the concepts.

Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete...

There are no easy decisions in software architecture. Instead, there are many hard parts—difficult problems or issues with no best practices—that force you to choose among various compromises. With this book, you'll learn how to think critically about the trade-offs involved with distributed architectures. Architecture veterans and practicing consultants Neal Ford, Mark Richards, Pramod Sadalage, and Zhamak Dehghani discuss strategies for choosing an appropriate architecture.

When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it's often difficult to understand what each one offers. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals.

Author Brendan Burns demonstrates how you can adapt existing software design patterns for designing and building reliable distributed applications. Systems engineers and application developers will learn how these long-established patterns provide a common language and framework for dramatically increasing the quality of your system. This fully updated second edition includes new chapters on AI inference, AI training, and building robust systems for the real world.

Amazon Simple Queue Service (SQS) is a fully managed message queuing service designed to help applications communicate reliably at scale. In this Cloud Uncovered episode, discover how Amazon SQS allows application components to exchange and temporarily store messages, helping developers decouple...

Trust in Artificial Intelligence is not just a regulatory requirement—it is a matter of business ethics, cultural awareness, and responsible design. This book takes an integrated approach, revealing how Trustworthy AI Systems extend beyond algorithms, servers, and databases to also include appearance, environment, and humans.

If your business disappeared tomorrow, would people still know who you are — and still come looking for you? For most people, the honest answer is no. This audiobook shows you how to fix that, using AI to build genuine personal authority and turn it into income that doesn't depend entirely on your calendar. This is the natural conclusion to the AI Marketing Mastery series: once your content and your systems are in place, this is how you turn your own expertise into a recognized, resilient business asset.

Tired of AI tutorials that leave you more confused than when you started? Sick of copy-pasting code that crashes the moment things get real? Wondering how everyone else seems to be building and deploying AI agents while you're still stuck on theory? Most beginners get buried in fragmented, academic content that never reaches deployment. This audiobook cuts through the noise with a direct, step-by-step system that takes you from zero to a working, production-ready AI agent.

In this comprehensive guide, authors Kelly Shortridge and Aaron Rinehart help you navigate the challenges of sustaining resilience in complex software systems by using the principles and practices of security chaos engineering. By preparing for adverse events, you can ensure they don't disrupt your ability to innovate, move quickly, and achieve your engineering and business goals.

To ensure that applications are reliable and always available, more businesses today are moving applications to AWS. But many companies still struggle to design and build these cloud applications effectively. With this practical guide, software, DevOps, and cloud engineers will learn how to implement resilient designs and configurations in the cloud using hands-on independent labs.

Artificial intelligence now speaks with fluency and authority—drafting text, shaping decisions, mediating knowledge, and influencing institutions. Yet public understanding still oscillates between two false comforts: treating AI as an emerging mind or dismissing it as nothing more than a neutral tool. I, System offers a different way of understanding what artificial intelligence is—and why it matters.