An indispensable guide for the study of performance, by France's leading theater critic, now available in English

Teacher education has long relied on locally-developed assessments that lack reliability and validity. Rigorous performance-based assessments for preservice teachers have been advanced as one possible way to ensure that all students receive instruction from a high-quality teacher. Recently, performance-based assessments have been developed which focus on the application of knowledge of teaching and learning in a classroom setting. Our book explores factors related to the implementation of teacher performance assessments in varying state and institutional contexts. The contributors, teacher educators from across the country, focus on what was learned from inquiries conducted using diverse methodologies (quantitative, qualitative, self-studies, and mixed methods). Their research encompassed faculty, supervisors, cooperating teachers, and students’ perceptions and concerns of teacher performance assessments, case studies of curricular reform and/or resistance, analyses of experiences and needs as a result of the adoption of such assessments, and examinations of the results of program alignment and reform. The chapters showcase experiences which occurred during high-stakes situations, in implementation periods prior to high-stakes adoption, and in contexts where programs adopted performance assessments as an institutional policy rather than as a result of a state-wide mandate. Endorsements The chapters compiled for Implementing and Analyzing Performance Assessments in Teacher Education edited by Joyce E. Many and Ruchi Bhatnagar, present a thoughtful look at the challenges and solutions embedded in the adoption of teacher performance assessments for preservice teachers. Most chapters feature edTPA, the most commonly used performance assessment now mandated in numerous states and used voluntarily by other programs across the country, and reveal how such assessments shine a bright light on the problems of practice in teacher preparation (stressful timelines, faculty silos, communication with P-12 partners, etc.) when new requirements disrupt the status quo. Each chapter tells a valuable story of performance assessment implementation and approaches that offset compliance in favor of inquiry and educative experiences for candidates and programs alike. Andrea Whittaker, Ph.D edTPA National Director Stanford University Graduate School of Education UL-SCALE Many and Bhatnagar launch the AAPE book series with a curated volume highlighting the contexts in which teacher educators implement and utilize performance assessments in educator preparation. Together, the chapters present research from various viewpoints—from candidates, faculty, university supervisors, and clinical partners—using diverse methodologies and approaches. The volume contributes significantly to the program assessment research landscape by providing examples of how performance assessments inform preparation at the intersection of praxis and research, and campus and field. These chapters provide a critical foundation for teacher educators eager to leverage performance assessments to improve their programs. Diana B. Lys, EdD. Assistant Dean of Educator Preparation and Accreditation School of Education University of North Carolina at Chapel Hill

The Complete Guide to Optimizing Systems Performance Written by the winner of the 2013 LISA Award for Outstanding Achievement in System Administration Large-scale enterprise, cloud, and virtualized computing systems have introduced serious performance challenges. Now, internationally renowned performance expert Brendan Gregg has brought together proven methodologies, tools, and metrics for analyzing and tuning even the most complex environments. Systems Performance: Enterprise and the Cloud focuses on Linux(R) and Unix(R) performance, while illuminating performance issues that are relevant to all operating systems. You'll gain deep insight into how systems work and perform, and learn methodologies for analyzing and improving system and application performance. Gregg presents examples from bare-metal systems and virtualized cloud tenants running Linux-based Ubuntu(R), Fedora(R), CentOS, and the illumos-based Joyent(R) SmartOS(TM) and OmniTI OmniOS(R). He systematically covers modern systems performance, including the "traditional" analysis of CPUs, memory, disks, and networks, and new areas including cloud computing and dynamic tracing. This book also helps you identify and fix the "unknown unknowns" of complex performance: bottlenecks that emerge from elements and interactions you were not aware of. The text concludes with a detailed case study, showing how a real cloud customer issue was analyzed from start to finish. Coverage includes - Modern performance analysis and tuning: terminology, concepts, models, methods, and techniques - Dynamic tracing techniques and tools, including examples of DTrace, SystemTap, and perf - Kernel internals: uncovering what the OS is doing - Using system observability tools, interfaces, and frameworks - Understanding and monitoring application performance - Optimizing CPUs: processors, cores, hardware threads, caches, interconnects, and kernel scheduling - Memory optimization: virtual memory, paging, swapping, memory architectures, busses, address spaces, and allocators - File system I/O, including caching - Storage devices/controllers, disk I/O workloads, RAID, and kernel I/O - Network-related performance issues: protocols, sockets, interfaces, and physical connections - Performance implications of OS and hardware-based virtualization, and new issues encountered with cloud computing - Benchmarking: getting accurate results and avoiding common mistakes This guide is indispensable for anyone who operates enterprise or cloud environments: system, network, database, and web admins; developers; and other professionals. For students and others new to optimization, it also provides exercises reflecting Gregg's extensive instructional experience.

Makes performance analysis and queueing theory concepts simple to understand and available to anyone with a background in high school algebra Presents the practical application of these concepts in the context of modern, distributed, computer system designs Packed with helpful examples that are based on the author's experience analyzing the performance of large-scale systems over the past 20 years.

Use BPF Tools to Optimize Performance, Fix Problems, and See Inside Running Systems BPF-based performance tools give you unprecedented visibility into systems and applications, so you can optimize performance, troubleshoot code, strengthen security, and reduce costs. BPF Performance Tools: Linux System and Application Observability is the definitive guide to using these tools for observability. Pioneering BPF expert Brendan Gregg presents more than 150 ready-to-run analysis and debugging tools, expert guidance on applying them, and step-by-step tutorials on developing your own. You’ll learn how to analyze CPUs, memory, disks, file systems, networking, languages, applications, containers, hypervisors, security, and the kernel. Gregg guides you from basic to advanced tools, helping you generate deeper, more useful technical insights for improving virtually any Linux system or application. • Learn essential tracing concepts and both core BPF front-ends: BCC and bpftrace • Master 150+ powerful BPF tools, including dozens created just for this book, and available for download • Discover practical strategies, tips, and tricks for more effective analysis • Analyze compiled, JIT-compiled, and interpreted code in multiple languages: C, Java, bash shell, and more • Generate metrics, stack traces, and custom latency histograms • Use complementary tools when they offer quick, easy wins • Explore advanced tools built on BPF: PCP and Grafana for remote monitoring, eBPF Exporter, and kubectl-trace for tracing Kubernetes • Foreword by Alexei Starovoitov, creator of the new BPF BPF Performance Tools will be an indispensable resource for all administrators, developers, support staff, and other IT professionals working with any recent Linux distribution in any enterprise or cloud environment.

Performance tuning is becoming more important than it has been for the last 40 years. Read this book to understand your application's performance that runs on a modern CPU and learn how you can improve it. The 170+ page guide combines the knowledge of many optimization experts from different industries.

Better Public Transit Systems is a complete primer for performance and investment analysis of public transportation. Whether you’re planning a major new public transit project, an extension or expansion of an existing system, or evaluating the needs of your current system, this book provides the tools you need to define your goals and objectives and conceive and analyse design alternatives. This completely revised Second Edition includes new material for students and online discussion questions, whilst remaining an essential reference book.

This is the digital version of the printed book (Copyright © 1996). Based on an award-winning doctoral thesis at Carnegie Mellon University, Measuring and Managing Performance in Organizations presents a captivating analysis of the perils of performance measurement systems. In the book’s foreword, Peopleware authors Tom DeMarco and Timothy Lister rave, “We believe this is a book that needs to be on the desk of just about anyone who manages anything.” Because people often react with unanticipated sophistication when they are being measured, measurement-based management systems can become dysfunctional, interfering with achievement of intended results. Fortunately, as the author shows, measurement dysfunction follows a pattern that can be identified and avoided. The author’s findings are bolstered by interviews with eight recognized experts in the use of measurement to manage computer software development: David N. Card, of Software Productivity Solutions; Tom DeMarco, of the Atlantic Systems Guild; Capers Jones, of Software Productivity Research; John Musa, of AT&T Bell Laboratories; Daniel J. Paulish, of Siemens Corporate Research; Lawrence H. Putnam, of Quantitative Software Management; E. O. Tilford, Sr., of Fissure; plus the anonymous Expert X. A practical model for analyzing measurement projects solidifies the text–don’t start without it!