Reliability and Maintainability (R&M) Role in Designing for Safety and Affordability
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An Architect's Guide to Site Reliability Engineering Nathaniel T
An Architect's Guide to Site Reliability Engineering Nathaniel T. Schutta @ntschutta ntschutta.io https://content.pivotal.io/ ebooks/thinking-architecturally Sofware development practices evolve. Feature not a bug. It is the agile thing to do! We’ve gone from devs and ops separated by a large wall… To DevOps all the things. We’ve gone from monoliths to service oriented to microserivces. And it isn’t all puppies and rainbows. Shoot. A new role is emerging - the site reliability engineer. Why? What does that mean to our teams? What principles and practices should we adopt? How do we work together? What is SRE? Important to understand the history. Not a new concept but a catchy name! Arguably goes back to the Apollo program. Margaret Hamilton. Crashed a simulator by inadvertently running a prelaunch program. That wipes out the navigation data. Recalculating… Hamilton wanted to add error-checking code to the Apollo system that would prevent this from messing up the systems. But that seemed excessive to her higher- ups. “Everyone said, ‘That would never happen,’” Hamilton remembers. But it did. Right around Christmas 1968. — ROBERT MCMILLAN https://www.wired.com/2015/10/margaret-hamilton-nasa-apollo/ Luckily she did manage to update the documentation. Allowed them to recover the data. Doubt that would have turned into a Hollywood blockbuster… Hope is not a strategy. But it is what rebellions are built on. Failures, uh find a way. Traditionally, systems were run by sys admins. AKA Prod Ops. Or something similar. And that worked OK. For a while. But look around your world today. -
Chapter 6 Structural Reliability
MIL-HDBK-17-3E, Working Draft CHAPTER 6 STRUCTURAL RELIABILITY Page 6.1 INTRODUCTION ....................................................................................................................... 2 6.2 FACTORS AFFECTING STRUCTURAL RELIABILITY............................................................. 2 6.2.1 Static strength.................................................................................................................... 2 6.2.2 Environmental effects ........................................................................................................ 3 6.2.3 Fatigue............................................................................................................................... 3 6.2.4 Damage tolerance ............................................................................................................. 4 6.3 RELIABILITY ENGINEERING ................................................................................................... 4 6.4 RELIABILITY DESIGN CONSIDERATIONS ............................................................................. 5 6.5 RELIABILITY ASSESSMENT AND DESIGN............................................................................. 6 6.5.1 Background........................................................................................................................ 6 6.5.2 Deterministic vs. Probabilistic Design Approach ............................................................... 7 6.5.3 Probabilistic Design Methodology..................................................................................... -
Training-Sre.Pdf
C om p lim e nt s of Training Site Reliability Engineers What Your Organization Needs to Create a Learning Program Jennifer Petoff, JC van Winkel & Preston Yoshioka with Jessie Yang, Jesus Climent Collado & Myk Taylor REPORT Want to know more about SRE? To learn more, visit google.com/sre Training Site Reliability Engineers What Your Organization Needs to Create a Learning Program Jennifer Petoff, JC van Winkel, and Preston Yoshioka, with Jessie Yang, Jesus Climent Collado, and Myk Taylor Beijing Boston Farnham Sebastopol Tokyo Training Site Reliability Engineers by Jennifer Petoff, JC van Winkel, and Preston Yoshioka, with Jessie Yang, Jesus Climent Collado, and Myk Taylor Copyright © 2020 O’Reilly Media. All rights reserved. Printed in the United States of America. Published by O’Reilly Media, Inc., 1005 Gravenstein Highway North, Sebastopol, CA 95472. O’Reilly books may be purchased for educational, business, or sales promotional use. Online editions are also available for most titles (http://oreilly.com). For more infor‐ mation, contact our corporate/institutional sales department: 800-998-9938 or [email protected]. Acquistions Editor: John Devins Proofreader: Charles Roumeliotis Development Editor: Virginia Wilson Interior Designer: David Futato Production Editor: Beth Kelly Cover Designer: Karen Montgomery Copyeditor: Octal Publishing, Inc. Illustrator: Rebecca Demarest November 2019: First Edition Revision History for the First Edition 2019-11-15: First Release See http://oreilly.com/catalog/errata.csp?isbn=9781492076001 for release details. The O’Reilly logo is a registered trademark of O’Reilly Media, Inc. Training Site Reli‐ ability Engineers, the cover image, and related trade dress are trademarks of O’Reilly Media, Inc. -
Reliability: Software Software Vs
Reliability Theory SENG 521 Re lia bility th eory d evel oped apart f rom th e mainstream of probability and statistics, and Software Reliability & was usedid primar ily as a tool to h hlelp Software Quality nineteenth century maritime and life iifiblinsurance companies compute profitable rates Chapter 5: Overview of Software to charge their customers. Even today, the Reliability Engineering terms “failure rate” and “hazard rate” are often used interchangeably. Department of Electrical & Computer Engineering, University of Calgary Probability of survival of merchandize after B.H. Far ([email protected]) 1 http://www. enel.ucalgary . ca/People/far/Lectures/SENG521/ ooene MTTF is R e 0.37 From Engineering Statistics Handbook [email protected] 1 [email protected] 2 Reliability: Natural System Reliability: Hardware Natural system Hardware life life cycle. cycle. Aging effect: Useful life span Life span of a of a hardware natural system is system is limited limited by the by the age (wear maximum out) of the system. reproduction rate of the cells. Figure from Pressman’s book Figure from Pressman’s book [email protected] 3 [email protected] 4 Reliability: Software Software vs. Hardware So ftware life cyc le. Software reliability doesn’t decrease with Software systems time, i.e., software doesn’t wear out. are changed (updated) many Hardware faults are mostly physical faults, times during their e. g., fatigue. life cycle. Each update adds to Software faults are mostly design faults the structural which are harder to measure, model, detect deterioration of the and correct. software system. Figure from Pressman’s book [email protected] 5 [email protected] 6 Software vs. -
Optimization of Configuration Management Processes
DEGREE PROJECT IN INFORMATION AND COMMUNICATION TECHNOLOGY, SECOND CYCLE, 30 CREDITS STOCKHOLM, SWEDEN 2016 Optimization of Configuration Management Processes JOHAN KRISTENSSON KTH ROYAL INSTITUTE OF TECHNOLOGY SCHOOL OF INFORMATION AND COMMUNICATION TECHNOLOGY Abstract Configuration management is a process for establishing and maintaining consistency of a product's performance, as well as functional and physical attributes with regards to requirements, design and operational information throughout its lifecycle. The way configuration management is implemented in a project has a huge impact on the project’s chance of success. Configuration management is, however, notoriously difficult to implement in a good way, i.e. in such a way that it increases performance and decrease the risk of projects. What works well in one field may be difficult to implement or will not work in another. The aim of this thesis is to present a process for optimizing configuration management processes, using a telecom company as a case study. The telecom company is undergoing a major overhaul of their customer relationship management system, and they have serious issues with quality of the software that is produced and meeting deadlines, and therefore wants to optimize its existing CM processes in order to help with these problems. Data collected in preparation for the optimization revealed that configuration management tools were not used properly, tasks that could be automated were done manually, and existing processes were not built on sound configuration management principles. The recommended optimization strategy would have been to fully implement a version handling tool, and change the processes to take better advantage of a properly implemented version handling tool. -
Software Reliability and Dependability: a Roadmap Bev Littlewood & Lorenzo Strigini
Software Reliability and Dependability: a Roadmap Bev Littlewood & Lorenzo Strigini Key Research Pointers Shifting the focus from software reliability to user-centred measures of dependability in complete software-based systems. Influencing design practice to facilitate dependability assessment. Propagating awareness of dependability issues and the use of existing, useful methods. Injecting some rigour in the use of process-related evidence for dependability assessment. Better understanding issues of diversity and variation as drivers of dependability. The Authors Bev Littlewood is founder-Director of the Centre for Software Reliability, and Professor of Software Engineering at City University, London. Prof Littlewood has worked for many years on problems associated with the modelling and evaluation of the dependability of software-based systems; he has published many papers in international journals and conference proceedings and has edited several books. Much of this work has been carried out in collaborative projects, including the successful EC-funded projects SHIP, PDCS, PDCS2, DeVa. He has been employed as a consultant to industrial companies in France, Germany, Italy, the USA and the UK. He is a member of the UK Nuclear Safety Advisory Committee, of IFIPWorking Group 10.4 on Dependable Computing and Fault Tolerance, and of the BCS Safety-Critical Systems Task Force. He is on the editorial boards of several international scientific journals. 175 Lorenzo Strigini is Professor of Systems Engineering in the Centre for Software Reliability at City University, London, which he joined in 1995. In 1985-1995 he was a researcher with the Institute for Information Processing of the National Research Council of Italy (IEI-CNR), Pisa, Italy, and spent several periods as a research visitor with the Computer Science Department at the University of California, Los Angeles, and the Bell Communication Research laboratories in Morristown, New Jersey. -
Industrial Maintenance
Industrial Maintenance Program CIP: 47.0303 – Industrial Maintenance Ordering Information Research and Curriculum Unit for Workforce Development Vocational and Technical Education Attention: Reference Room and Media Center Coordinator P.O. Drawer DX Mississippi State, MS 39762 www.rcu.msstate.edu/curriculum/download/ (662) 325-2510 Direct inquiries to Doug Ferguson Andy Sims Instructional Design Specialist Program Coordinator P.O. Drawer DX Office of Vocational Education and Workforce Mississippi State, MS 39762 Development (662) 325-2510 Mississippi Department of Education E-mail: [email protected] P.O. Box 771 Jackson, MS 39205 (601) 359-3479 E-mail: [email protected] Published by Office of Vocational and Technical Education Mississippi Department of Education Jackson, MS 39205 Research and Curriculum Unit for Workforce Development Vocational and Technical Education Mississippi State University Mississippi State, MS 39762 Robin Parker, EdD, Curriculum Coordinator Jolanda Harris, Educational Technologist The Research and Curriculum Unit (RCU), located in Starkville, MS, as part of Mississippi State University, was established to foster educational enhancements and innovations. In keeping with the land grant mission of Mississippi State University, the RCU is dedicated to improving the quality of life for Mississippians. The RCU enhances intellectual and professional development of Mississippi students and educators while applying knowledge and educational research to the lives of the people of the state. The RCU works within -
Big Data for Reliability Engineering: Threat and Opportunity
Reliability, February 2016 Big Data for Reliability Engineering: Threat and Opportunity Vitali Volovoi Independent Consultant [email protected] more recently, analytics). It shares with the rest of the fields Abstract - The confluence of several technologies promises under this umbrella the need to abstract away most stormy waters ahead for reliability engineering. News reports domain-specific information, and to use tools that are mainly are full of buzzwords relevant to the future of the field—Big domain-independent1. As a result, it increasingly shares the Data, the Internet of Things, predictive and prescriptive lingua franca of modern systems engineering—probability and analytics—the sexier sisters of reliability engineering, both statistics that are required to balance the otherwise orderly and exciting and threatening. Can we reliability engineers join the deterministic engineering world. party and suddenly become popular (and better paid), or are And yet, reliability engineering does not wear the fancy we at risk of being superseded and driven into obsolescence? clothes of its sisters. There is nothing privileged about it. It is This article argues that“big-picture” thinking, which is at the rarely studied in engineering schools, and it is definitely not core of the concept of the System of Systems, is key for a studied in business schools! Instead, it is perceived as a bright future for reliability engineering. necessary evil (especially if the reliability issues in question are safety-related). The community of reliability engineers Keywords - System of Systems, complex systems, Big Data, consists of engineers from other fields who were mainly Internet of Things, industrial internet, predictive analytics, trained on the job (instead of receiving formal degrees in the prescriptive analytics field). -
Operational Availability Modeling for Risk and Impact Analysis
Operational Availability Modeling for Risk and Impact Analysis David J. Hurst Manager Accreditation and Audits Aerospace Engineering and Project Management Division National Defence Headquarters Major General George R. Pearkes Building 400 Cumberland Street Ottawa, Ontario K1A 0K2 CANADA [email protected] ABSTRACT Availability is a system performance parameter which provides insight into the probability that an item or system will be available to be committed to a specified requirement. Depending on the application, availability can be defined to include reliability, maintainability and logistic support information. For fleet management purposes, the ability to quantify availability in terms of all of its contributing elements is essential. This paper provides a discussion on a steady state operational availability model which can be used to assist the Canadian Air Force in its aircraft fleet management requirements. The availability model embodies scheduled and unscheduled maintenance and allows for impact analysis using in-service maintenance data. The model is sensitive to fleet size, aircraft flying rate, frequency of downing events, aircraft maintainability, scheduled inspection frequency, and scheduled inspection duration. The predictive capability of this availability model is currently providing the Canadian Air Force with a more sophisticated maintenance analysis decision support capability. In order for this paper to be available for general distribution, it must be unclassified. As a result, the case studies presented do -
Milestones in Future Mobility, Annual Report 2018
ANNUAL REPORT 2018 #Milestones in Future Mobility ANNUAL 2018 ANNUAL REPORT We are inventing the mobility of the future, in which we think and work in new ways. We invite you to learn more about how we see the future today. CONTENTS 1 4 TO OUR SHAREHOLDERS CORPORATE Page 4 BMW Group in Figures GOVERNANCE Page 8 Report of the Supervisory Board Page 200 Statement on Corporate Governance Page 16 Statement of the Chairman of the (Part of the Combined Management Report) Board of Management Page 200 Information on the Company’s Governing Constitution Page 201 Declaration of the Board of Management and of the Page 20 BMW AG Stock and Capital Markets in 2018 Supervisory Board Pursuant to § 161 AktG Page 202 Members of the Board of Management Page 203 Members of the Supervisory Board Page 206 Composition and Work Procedures of the Board of 2 Management of BMW AG and its Committees Page 208 Composition and Work Procedures of the COMBINED Super visory Board of BMW AG and its Committees Page 215 Disclosures Pursuant to the Act on Equal MANAGEMENT REPORT Gender Participation Page 216 Information on Corporate Governance Practices Applied Page 26 General Information and Group Profile beyond Mandatory Requirements Page 26 Organisation and Business Model Page 218 Compliance in the BMW Group Page 36 Management System Page 223 Compensation Report Page 40 Report on Economic Position (Part of the Combined Management Report) Page 40 General and Sector-specific Environment Page 239 Responsibility Statement by the Page 44 Overall Assessment by Management Company’s -
Reducing Product Development Risk with Reliability Engineering Methods
Reducing Product Development Risk with Reliability Engineering Methods Mike McCarthy Reliability Specialist Who am I? • Mike McCarthy, Principal Reliability Engineer – BSc Physics, MSc Industrial Engineering – MSaRS (council member), MCMI, – 18+ years as a reliability practitioner – Extensive experience in root cause analysis of product and process issues and their corrective action. • Identifying failure modes, predicting failure rates and cost of ‘unreliability’ – I use reliability tools to gain insight into business issues - ‘Risk’ based decision making 2 Agenda ‘Probable’ Duration 1. Risk 2 min 2. Reliability Tools to Manage Risk 4 min 3. FMECA 6 min 4. Design of Experiments (DoE) 5 min 5. Accelerated Testing 5 min 6. Summary 3 min 7. Questions 5 min Total: 30 min 3 Managing Risk? Design Installation Terry Harris © GreenHunter Bio Fuels Inc. Maintenance Operation Chernobyl 4 Likelihood-Consequence Curve Consequence Catastrophic Prohibited ‘Acceptable’ Negligible Likelihood Impossible Certain (frequency) to occur 5 Reliability Tools to Manage Risk 6 Tools to Manage Risk • Design Reviews • FRACAS/DRACAS Review & • Subcontractor Review Control • Part Selection & Control (including de-rating) • Computer Aided Engineering Tools (FEA/CFD) • FME(C)A / FTA Design & • System Prediction & Allocation (RBDs) • Quality Function Deployment (QFD) Analysis • Critical Item Analysis • Thermal/Vibration Analysis & Management • Predicting Effects of Storage, Handling etc • Life Data Analysis (eg Weibull) • Reliability Qualification Testing Test & • Maintainability -
World Bank Document
Public Disclosure Authorized .51 " I I -11 I Public Disclosure Authorized i i7 nt "li ! 'Ini 1r; r I.-I Public Disclosure Authorized 0 i i Public Disclosure Authorized EMP * WERMENT AND POVERTY REDUCTION A So u rce book EMP * WERMENT AND POVERTY REDUCTION A So u rce book Edited by Deepa Narayan THE WORLD BANK Washington, DC © 2002 The International Bank for Reconstruction and Development / The World Bank 1818 H Street, NW Washington, DC 20433 All rights reserved. First printing June 2002 1 2 3 4 05 04 03 02 The findings, interpretations, and conclusions expressed here are those of the author(s) and do not necessarily reflect the views of the Board of Executive Directors of the World Bank or the governments they represent. The World Bank cannot guarantee the accuracy of the data included in this work. The boundaries, colors, denominations, and other information shown on any map in this work do not imply on the part of the World Bank any judgment of the legal status of any territory or the endorsement or acceptance of such boundaries. Rights and Permissions The material in this work is copyrighted. No part of this work may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photo- copying, recording, or inclusion in any information storage and retrieval system, with- out the prior written permission of the World Bank. The World Bank encourages dis- semination of its work and will normally grant permission promptly. For permission to photocopy or reprint, please send a request with complete informa- tion to the Copyright Clearance Center, Inc., 222 Rosewood Drive, Danvers, MA, 01923, USA, telephone 978-750-8400, fax 978-750-4470, www.copyright.com.