Résultats pour "Systema" dans Programmation et développement de logiciels

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.

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.

Discover a comprehensive guide designed to equip you with the essential skills and knowledge needed to excel in the realm of Linux system administration. This book serves as a practical resource for individuals aspiring to become proficient (RHCSA) Red Hat Certified System Administrators, offering a structured approach to mastering the intricacies of Red Hat Enterprise Linux. You'll embark on a journey through the fundamental concepts and practical techniques essential for effectively managing Linux-based systems.

It is a fact that you'll be bombarded with system design interview questions which have become part and parcel of all the software engineering hiring processes. Your performance in these interviews will reflect upon your capability to work with complex systems and translate into the role and position that the interviewing organization is interviewing you for. This audiobook is a comprehensive guide to master all the concepts about SDIs.

In our interconnected world, we face a complex cybersecurity ecosystem where digital vulnerabilities can have far-reaching consequences. Threats to digital infrastructure often impact critical physical systems, potentially causing real-world harm. With AI agents set to handle extensive personal information, data security and privacy are more crucial than ever.

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.

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.

Energy-Efficient Computing: Designing Sustainable Systems for Performance, Power Optimization, and a Greener Digital Future delivers a comprehensive, forward-looking exploration of how modern computing systems can be engineered to balance performance demands with the urgent need for sustainability. As data centers grow, AI workloads scale, and edge devices proliferate, energy-efficient design is no longer optional—it is essential for the future of digital innovation.

AI and other high-tech tools embed and reinforce America’s history of prejudice and exclusion — even when they are used with the best intentions. Patrick K. Lin’s Machine See, Machine Do: How Technology Mirrors Bias in Our Criminal Justice System takes a deep and thorough look into the use of technology in the criminal justice system, and investigates the instances of coded bias present at every level.

A guide to navigating the messiness of software development process change, dealing with all the legacy organizational elements, and focusing on increasing business agility.

Machine learning and deep learning are changing technology as we know it. Critical infrastructure decisions are now driven by fine-tuned algorithms trained with huge data sets. In this guide, you're going to be handed all the information and tools you need to transform data into powerful insights.