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‘How can you make decisions about Aboriginal people when you can’t even talk to the people you’ve got here that are blackfellas?’ So ‘Sarah’, a senior Aboriginal public servant, imagines a conversation with the Northern Territory Public Service. Her question suggests tensions for Aboriginal and Torres Strait Islanders who have accepted the long-standing invitation to join the ranks of the public service. Reluctant Representatives gives us a rare glimpse into the working world of the individuals behind the Indigenous public sector employment statistics. This empathetic exposé of the challenges of representative bureaucracy draws on interviews with Aboriginal and Torres Strait Islander Australians who have tried making it work. Through Ganter’s engaging narration, we learn that the mere presence of Aboriginal and Torres Strait Islanders in the public service is not enough. If bureaucracies are to represent the communities they serve, Aboriginal and Torres Strait Islander public servants need to be heard and need to know their people are heard.

australia --- representative bureaucracy --- public service --- aboriginal people

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Learn to design, implement, measure, and improve DevOps programs that are tailored to your organization. This concise guide assists leaders who are accountable for the rapid development of high-quality software applications.In DevOps for Digital Leaders, deep collective experience on both sides of the dev–ops divide informs the global thought leadership and penetrating insights of the authors, all three of whom are cross-portfolio DevOps leaders at CA Technologies. Aruna Ravichandran, Kieran Taylor, and Peter Waterhouse analyze the organizational benefits, costs, freedoms, and constraints of DevOps. They chart the coordinated strategy of organizational change, metrics, lean thinking, and investment that an enterprise must undertake to realize the full potential of DevOps and reach the sweet spot where accelerating code deployments drive increasing customer satisfaction, revenue, and profitability. Digital leaders are charged to bridge the dev–ops disconnect if their organizations are to survive and flourish in a business world increasingly differentiated by the degree to which dynamic application software development harmonizes with operational resilience and reliability. This short book applies the DevOps perspective to the competitive challenge, faced by every high-performance IT organization today, of integrating and automating open source, cloud, and enterprise tools, processes, and techniques across the software development life cycle from requirements to release.What You Will Learn:Remove dependencies and constraints so that parallel practices can accelerate the development of defect-free softwareAutomate continuous delivery across the software life cycle to eliminate release bottlenecks, manual labor waste, and technical debt accumulationGenerate virtualized production-style testing of applications through real-time behavioral analyticsAdopt agile practices so operations teams can support developer productivity with automated feedback, streamline infrastructure monitoring, spot and resolve operations issues before they impact production, and improve customer experienceIdentify the DevOps metrics appropriate to your organization and integrate DevOps with your existing best practices and investmentWho This Book Is For:IT leaders in large companies and government agencies who have any level of responsibility for the rapid development of high-quality software applications. The secondary readership is members of development and operations teams, security professionals, and service managers.

DevOps --- continuous delivery --- software lifecycle --- concurrent parallel testing --- service management --- ITIL --- GRC --- PaaS --- containerization --- API management --- lean principles --- technical debt --- end-to-end automation --- automation

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This book constitutes the refereed proceedings of the 31st International Symposium on Computer and Information Sciences, ISCIS 2016, held in Krakow, Poland, in October 2016.The 29 revised full papers presented were carefully reviewed and selected from 65 submissions. The papers are organized in topical sections on smart algorithms; data classification and processing; stochastic modelling; performance evaluation; queuing systems; wireless networks and security; image processing and computer vision.

Information Systems and Communication Service --- Artificial Intelligence (incl. Robotics) --- Computer Communication Networks --- Software Engineering/Programming and Operating Systems --- Probability and Statistics in Computer Science --- Computer Imaging, Vision, Pattern Recognition and Graphics