Manage, control, and optimize the cloud spend on AWS. Key Features * Learn best practices in implementing a Cloud FinOps discipline with AWS * Set up your organization for success by enabling people, process, and organization * Choose the right pricing model strategy to optimize usage of AWS resources Book Description Much like how DevOps is a combination of cultural philosophies, practices, and tools that advocate a collaborative working relationship between development and IT operations, FinOps encourages the same collaboration between technology and finance teams. Organizations with a mature FinOps practice decentralize cost ownership to developer teams, and encourage cross-functional collaboration between business, finance, and technology enabling speed, innovation, and business growth. You'll learn how to structure your organization to form the right FinOps team including a Cloud Center of Excellence. You'll learn how to implement practical cost savings measures with AWS tools and processes to optimize cost in both the short- and long-term. By the end of this book, you'll have the basis to implement a successful Cloud FinOps practice for your organization to get the best value of the AWS cloud for your workloads. What you will learn * Use AWS services to monitor and govern your cost usage and spend. * Implement automation to streamline cost optimization operations. * Design the best architecture to fit your workload to optimize on data transfer. * Maximize efficiency with elasticity strategies to optimize on costs. * Leverage cost optimization levers to save on compute and storage costs. * Identify strategies to create and govern the right cost metrics to bring value to your organization. Who This Book Is For This book is for enterprise architects, cloud architects, CFOs, CTOs, product managers, finance managers, and FinOps practitioners looking to optimize their use of the cloud. This book reveals tools, strategies, and frameworks to minimize costs that will allow your business to realize sustainable financial benefits and to efficiently use cloud resources.

Quantitative risk assessments cannot eliminate risk, nor can they resolve trade-offs. They can, however, guide principled risk management and reduction - if the quality of assessment is high and decision makers understand how to use it. This book builds a unifying scientific framework for discussing and evaluating the quality of risk assessments and whether they are fit for purpose. Uncertainty is a central topic. In practice, uncertainties about inputs are rarely reflected in assessments, with the result that many safety measures are considered unjustified. Other topics include the meaning of a probability, the use of probability models, the use of Bayesian ideas and techniques, and the use of risk assessment in a practical decision-making context. Written for professionals, as well as graduate students and researchers, the book assumes basic probability, statistics and risk assessment methods. Examples make concepts concrete, and three extended case studies show the scientific framework in action.

Provides the reader with a perspective on the efficient operation of complicated systems.
* Spreadsheets are used to employ and teach techniques.
* Includes the facets of probability that relate to decision making.

Behavioural studies have shown that while humans may be the best decision makers on the planet, we are not quite as good as we think we are. We are regularly subject to biases, inconsistencies and irrationalities in our decision making. Decision Behaviour, Analysis and Support, published in 2009, explores perspectives from many different disciplines to show how we can help decision makers to deliberate and make better decisions. It considers both the use of computers and databases to support decisions as well as human aids to building analyses and some fast and frugal tricks to aid more consistent decision making. In its exploration of decision support it draws together results and observations from decision theory, behavioural and psychological studies, artificial intelligence and information systems, philosophy, operational research and organisational studies. This provides a valuable resource for managers with decision-making responsibilities and students from a range of disciplines, including management, engineering and information systems.