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Rugby - a Process Model for Continuous Software Engineering
INSTITUT FUR¨ INFORMATIK DER TECHNISCHEN UNIVERSITAT¨ MUNCHEN¨ Forschungs- und Lehreinheit I Angewandte Softwaretechnik Rugby - A Process Model for Continuous Software Engineering Stephan Tobias Krusche Vollstandiger¨ Abdruck der von der Fakultat¨ fur¨ Informatik der Technischen Universitat¨ Munchen¨ zur Erlangung des akademischen Grades eines Doktors der Naturwissenschaften (Dr. rer. nat.) genehmigten Dissertation. Vorsitzender: Univ.-Prof. Dr. Helmut Seidl Prufer¨ der Dissertation: 1. Univ.-Prof. Bernd Brugge,¨ Ph.D. 2. Prof. Dr. Jurgen¨ Borstler,¨ Blekinge Institute of Technology, Karlskrona, Schweden Die Dissertation wurde am 28.01.2016 bei der Technischen Universitat¨ Munchen¨ eingereicht und durch die Fakultat¨ fur¨ Informatik am 29.02.2016 angenommen. Abstract Software is developed in increasingly dynamic environments. Organizations need the capability to deal with uncertainty and to react to unexpected changes in require- ments and technologies. Agile methods already improve the flexibility towards changes and with the emergence of continuous delivery, regular feedback loops have become possible. The abilities to maintain high code quality through reviews, to regularly re- lease software, and to collect and prioritize user feedback, are necessary for con- tinuous software engineering. However, there exists no uniform process model that handles the increasing number of reviews, releases and feedback reports. In this dissertation, we describe Rugby, a process model for continuous software en- gineering that is based on a meta model, which treats development activities as parallel workflows and which allows tailoring, customization and extension. Rugby includes a change model and treats changes as events that activate workflows. It integrates re- view management, release management, and feedback management as workflows. As a consequence, Rugby handles the increasing number of reviews, releases and feedback and at the same time decreases their size and effort. -
Continuous Delivery with Spinnaker Fast, Safe, Repeatable Multi-Cloud Deployments
Continuous Delivery with Spinnaker Fast, Safe, Repeatable Multi-Cloud Deployments Emily Burns, Asher Feldman, Rob Fletcher, Tomas Lin, Justin Reynolds, Chris Sanden, Lars Wander, and Rob Zienert Beijing Boston Farnham Sebastopol Tokyo Continuous Delivery with Spinnaker by Emily Burns, Asher Feldman, Rob Fletcher, Tomas Lin, Justin Reynolds, Chris Sanden, Lars Wan‐ der, and Rob Zienert Copyright © 2018 Netflix, Inc. 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 edi‐ tions are also available for most titles (http://oreilly.com/safari). For more information, contact our corporate/institutional sales department: 800-998-9938 or [email protected]. Acquisitions Editor: Nikki McDonald Interior Designer: David Futato Editor: Virginia Wilson Cover Designer: Karen Montgomery Production Editor: Nan Barber Illustrator: Rebecca Demarest Copyeditor: Charles Roumeliotis Technical Reviewers: Chris Devers and Jess Males Proofreader: Kim Cofer May 2018: First Edition Revision History for the First Edition 2018-05-11: First Release The O’Reilly logo is a registered trademark of O’Reilly Media, Inc. Continuous Delivery with Spin‐ naker, the cover image, and related trade dress are trademarks of O’Reilly Media, Inc. While the publisher and the authors have used good faith efforts to ensure that the information and instructions contained in this work are accurate, the publisher and the authors disclaim all responsi‐ bility for errors or omissions, including without limitation responsibility for damages resulting from the use of or reliance on this work. Use of the information and instructions contained in this work is at your own risk. -
Spring 2015 Cybersecurity Reboot
QUARTERLY VOL. 6 NO. 4 SPRING 2015 cybersecurity:# reboot IQT Quarterly is a publication of In-Q-Tel, Inc., the strategic investment firm that serves as a bridge between the U.S. Intelligence Community and venture-backed startup firms on the leading edge of technological innovation. IQT Quarterly advances the situational awareness component of the IQT mission, serving as a platform to debut, discuss, and debate issues of innovation in the areas of overlap between commercial potential and U.S. Intelligence Community needs. For comments or questions regarding IQT or this document, please visit www.iqt.org, write to [email protected], or call 703-248-3000. The views expressed are those of the authors in their personal capacities and do not necessarily reflect the opinion of IQT, their employers, or the Government. ©2015 In-Q-Tel, Inc. This document was prepared by In-Q-Tel, Inc., with Government funding (U.S. Government Contract No. 2014-14031000011). The Government has Government Purpose License Rights in this document. Subject to those rights, the reproduction, display, or distribution of the Quarterly without prior written consent from IQT is prohibited. EDITORIAL IQT Quarterly, published by In-Q-Tel, Inc. Editor-in-Chief: Adam Dove Lead Theme Editor: Nat Puffer Contributing Theme Editors: Greg Shipley, Seth Spergel, and Justin Wilder Contributing Editors: Brittany Carambio, Carrie Sessine, and Emma Shepard Design by Lomangino Studio LLC Printed in the United States of America QUARTERLY Identify. Adapt. Deliver. TABLE OF CONTENTS On Our Radar 02 By Nat Puffer A Look Inside: Cybersecurity Reboot 05 Building Trust in Insecure Code 06 By Jeff Williams No Silent Failure: The Pursuit of Cybersecurity 10 A Q&A with Dan Geer The Return of Dragons: How the Internet of Things 14 Is Creating New, Unexplored Territories By John Matherly The Insecurity of Things 17 By Stephen A. -
Enterprise Devops: Continuous Delivery Services Accelerate Innovation and Application Release End-To-End
Services Flyer Application Delivery Management Enterprise DevOps: Continuous Delivery Services Accelerate innovation and application release end-to-end Many organizations recognize DevOps as the collaborate. Adding Continuous Deployment ■ Management of Organizational Change best way to deliver value faster, reduce risk, and and Release is more than adding automated to drive adoption and cultural change achieve outcomes for both the organization infrastructure provisioning. It is about chang- and customers. Many have taken a bottom-up ing how apps and ops teams work together. All Our approach is iterative. We: approach: adopt an initial set of capabilities, these changes necessitate not just new tech- ■ Assess your current capabilities depending on their needs, and expand from nology but alignment of processes, teams, and Develop a prioritized roadmap of there. While this seems like a reasonable ap- KPIs. In fact, it is in the latter components that ■ proach, it suffers from one serious drawback: the tough challenges lie. activities, clearly identifying quick adopting one DevOps capability after another wins as well as mid- and long-term in a piecemeal manner is incredibly challenging DevOps spans the entire IT Value Chain, and initiatives and usually does not deliver on the end-to-end driving adoption of the necessary changes ■ Accelerate implementation using the DevOps promise. across technology, process, culture, and over- Model Office as the reference point all mindset is key to success. ■ Combine coaching with Management Micro Focus® Enterprise DevOps: Continuous of Organizational Change consulting Delivery Services bring a top-down approach Our Approach to assist with the adoption of any new to complement the bottom-up one you have At Micro Focus Professional Services, we have DevOps practices, processes, and tools likely taken. -
Continuous Delivery: the First Steps
Continuous Delivery: The First Steps By Dave Jabs. Article as published in Article Reprint AccuRev Article Reprint Continuous Delivery: The First Steps Continuous Delivery: The First Steps Continuous delivery integrates many practices that in their totality might seem daunting. But starting with a few basic steps brings immediate benefits. Here’s how. Software development groups that achieve high performance in teams unused to it and, frequently, changes to processes and tools. development and delivery provide a strategic advantage to their For continuous delivery to be done properly, it also requires organi- business. However, many organizations struggle with delivering zational changes. Achieving excellence in continuous delivery isn’t software in a timely manner. The set of practices called “continu- easy, but the reward is enormous: Development teams will be able to ous delivery” is gaining favor as an important part of the work of move at velocities not previously thought possible. delivering new software on time. Continuous delivery defines a set of practices that aim to eliminate mechanical impediments and Steps to Continuous Delivery deliver software with greater velocity to respond to market needs. The overarching concept of continuous delivery is not new; in fact, the first Agile principle states, “the highest priority is to satisfy the customer Continuous Delivery as a Pipeline through early and continuous delivery of valuable software.” Despite this Let’s start by outlining what continuous delivery is. One of my familiarity, many companies—even those committed to Agile processes— favorite definitions comes from Jez Humble of Thoughtworks, whose struggle to just get started. book is the seminal text on the discipline. -
Agile Playbook V2.1—What’S New?
AGILE P L AY B O OK TABLE OF CONTENTS INTRODUCTION ..........................................................................................................4 Who should use this playbook? ................................................................................6 How should you use this playbook? .........................................................................6 Agile Playbook v2.1—What’s new? ...........................................................................6 How and where can you contribute to this playbook?.............................................7 MEET YOUR GUIDES ...................................................................................................8 AN AGILE DELIVERY MODEL ....................................................................................10 GETTING STARTED.....................................................................................................12 THE PLAYS ...................................................................................................................14 Delivery ......................................................................................................................15 Play: Start with Scrum ...........................................................................................15 Play: Seeing success but need more fexibility? Move on to Scrumban ............17 Play: If you are ready to kick of the training wheels, try Kanban .......................18 Value ......................................................................................................................19 -
Devops Point of View an Enterprise Architecture Perspective
DevOps Point of View An Enterprise Architecture perspective Amsterdam, 2020 Management summary “It is not the strongest of the species that survive, nor the most intelligent, but the one most responsive to change.”1 Setting the scene Goal of this Point of View In the current world of IT and the development of This point of view aims to create awareness around the IT-related products or services, companies from transformation towards the DevOps way of working, to enterprise level to smaller sizes are starting to help gain understanding what DevOps is, why you need it use the DevOps processes and methods as a part and what is needed to implement DevOps. of their day-to-day organization process. The goal is to reduce the time involved in all the An Enterprise Architecture perspective software development phases, to achieve greater Even though it is DevOps from an Enterprise Architecture application stability and faster development service line perspective, this material has been gathered cycles. from our experiences with customers, combined with However not only on the technical side of the knowledge from subject matter experts and theory from organization is DevOps changing the playing within and outside Deloitte. field, also an organizational change that involves merging development and operations teams is Targeted audience required with an hint of cultural changes. And last but not least the skillset of all people It is specifically for the people within Deloitte that want to involved is changing. use this as an accelerator for conversations and proposals & to get in contact with the people who have performed these type of projects. -
The Blueprint for Continuous Delivery & Devops of Oracle
Ebook The Blueprint for Continuous Delivery & DevOps of Oracle CONTENTS 1. Who this blueprint is for 2. What you’ll gain from this blueprint 3. Set your expectations 4. The top 5 challenges in E2E oracle deployments 5. How do smart enterprises resolve the challenges? 6. How you make these solutions work? 7. Implementation options 8. About LimePoint 9. About the Authors 10. Terms used in this blueprint 11. References 2 1. WHO THIS BLUEPRINT IS FOR This blueprint is for IT specialists and operations managers of enterprises whose businesses run on Oracle technologies. You’ll get the most from this blueprint if your role is any of these: • Oracle Applications Team Leader • Project or Program Director or Manager • Architect or Subject Matter Expert • CTO, CIO or IT Manager • Environment or Operations Manager. Your business is pushing to stay ahead of competitors through innovations that add value, sharpen your competitive edge or improve customer experience. Ensuring that your Oracle platforms deliver key projects reliably, consistently and with high quality is critical to your success. “ Your technical environment is more complex than ‘Oracle is basically selling an integrated ever, increasing the risk of failures, downtime and one-stop-shop solution as opposed to an disruptions that can harm both your business and a la carte, best-of-breed approach. Oracle reputation. Deployment options like public or privaten cloud, or on-premise/cloud hybrids (like its biggest competitors, IBM, SAP and provide flexibility, but add complexity. Microsoft) is aiming to serve companies that want as muchtechnology as possible from a ‘Business As Usual’ is good for operations, but won’t improve business agility, Continuous Delivery single source...’ 1 promises to improve quality and speed of deployment, and DevOps is touted as the Holy Grail. -
Softwareprozesse: Timeboxing & Continuous Delivery
Softwareprozesse: Timeboxing & Continuous Delivery BENJAMIN PROJDAKOV The Timeboxing Process Model •Voller Titel: The Timeboxing Process Model for Iterative Software Development •Verfasser: • Professor Pankaj Jalote Department of Computer Science and Engineering Indian Institute of Technology Kanpur • Aveejeet Palit, Priya Kurien Infosys Technologies Limited Bangalore Einführung: Wasserfallmodell •Linear •Nicht iterativ •Lange Entwicklungsdauer typisch •Anforderungen: • Müssen vollständig bekannt sein • Änderungen schwierig •Entwicklung in Phasen •Ergebnis: Vollständige Software •Komplexität der Software eher gering Einführung: Iterative Modelle •Linear •Entwicklung: • In Zyklen • Zyklus unterteilt sich in Phasen •Kurze Entwicklungsdauer pro Zyklus •Anforderungen: • Müssen pro Iteration bekannt sein • Änderungen in nächster Iteration möglich •Ergebnis: Funktionierende Software nach jedem Zyklus Timeboxing Modell •Entwicklung: • In Zyklen • Zyklus unterteilt sich in Phasen • Ausführung mit Versatz parallel •Feste Entwicklungsdauer pro Zyklus • Wochen bis Monate •Anforderungen: • Müssen pro Iteration bekannt sein • Änderungen in nächster Iteration •Ergebnis: • Häufige Releases • Funktionierende Software nach jedem Zyklus Timeboxing Modell: Phasen & Teams •Phasen: •Teams: • Anzahl Variabel • Eine Aufgabe pro Team • Gleiche Dauer ideal • Größe abgestimmt auf Dauer Timeboxing Modell: Phasen & Teams •Ungleiche Boxen führen zu ineffizienter Teamauslastung •Lösungen: • “Right-scaling” von Teams • Ressourcenumverteilung •Kann auch durch Verzögerungen -
Performance Testing in Continuous Delivery Pipelines
Performance Testing in Continuous Delivery Pipelines Andrey Pokhilko Chief Scientist, BlazeMeter Importance of CI and CD ● Machine time costs nothing, human time priceless ● De-facto winning practice ● Most advanced teams go with CD ● A lot of teams are still in process of adopting it Agenda 1. Things we put into CI 2. Best practice (for now) 3. Challenges of testing in CI 4. Jenkins for Performance Testing Things we put into CI Triggering and Preparations ● When to do the job ● VCS checkout + dependencies checkout ● Building project (compiling etc.) ● Put resulting packages into repos Quality Control 1. Static code analysis 2. Unit tests 3. Functional tests needs deployment 4. Performance tests Deployment ● To QA environment (for further manual tests) ● To staging environment ● To production environment The Best Practice One Way Road (Driverless) Filter Filter Filter Filter Functional Tests VCS Checkout + Build Unit Tests Deployment Dependencies Perfromance Tests VCS-Driven Pipeline ● Natural evolution of CI systems ● Branching and pull requests ● Jenkins 2.0 pipelines ● Taurus Tool as part of this approach Why testing is challenging in CI Challenge #1: Test Environment ● Applications are complex Databases ● Lots of dependencies ● Third-party systems Microservices Third-parties Challenge #2: Time Consuming ● Preparations ● A lot of functional tests ● Performance tests are naturally long Challenge #3: Debugging CI Jobs ● Evolving test complexity ● Debugging and troubleshooting ● Build history is a value Challenge #4: Results Analysis -
Continuous Delivery of Personalized Assessment and Feedback in Agile Software Engineering Projects
Continuous Delivery of Personalized Assessment and Feedback in Agile Software Engineering Projects Xiaoying Bai Mingjie Li Dan Pei Tsinghua University Tsinghua University Tsinghua University [email protected] [email protected] [email protected] Shanshan Li Deming Ye Tsinghua University Tsinghua University [email protected] [email protected] ABSTRACT 1 INTRODUCTION In recent years, Agile development has been adopted in project With the rise of Web 2.0 and Software-as-a-Service, software practices of Software Engineering (SE) courses. However, paradigm has shifted considerably in recent years. The We- it is a great challenge to provide timely assessment and b 2.0 principle, "forever beta", has been a normal status of feedback to project teams and individual students with a most Internet-based applications, which means that software frequency that catches up with iterative, incremental, and are frequently updated online and released. Accordingly, con- cooperative software development with continuous deliver- ventional development style, that has clear well-planned and ies. Conventional project reviews are mostly dependent up- staged process of requirements-design-implementation-testing on instructors and teaching assistants in a manual review- cycles, is giving way to the Agile style, which values small ing/mentoring approach, which are simply not scalable. and frequent incremental delivery, test-driven developmen- In this paper, we argue that agile projects warrant a "con- t, continuous integration, and adaptability to changes. As tinuous delivery" of personalized assessment and feedback. a result, this paradigm shift in modern software industry To this end, we propose an online-offline combined approach requires the reform of college courses [2, 4, 6]. -
A Flexible Framework for File System Benchmarking &Pivot
;login SPRING 2016 VOL. 41, NO. 1 : & Filebench: A Flexible Framework for File System Benchmarking Vasily Tarasov, Erez Zadok, and Spencer Shepler & Pivot Tracing: Dynamic Causal Monitoring for Distributed Systems Jonathan Mace, Ryan Roelke, and Rodrigo Fonseca & Streaming Systems and Architectures: Kafka, Spark, Storm, and Flink Jayant Shekhar and Amandeep Khurana & BeyondCorp: Design to Deployment at Google Barclay Osborn, Justin McWilliams, Betsy Beyer, and Max Saltonstall Columns Red/Blue Functions: How Python 3.5’s Async IO Creates a Division Among Function David Beazley Using RPCs in Go Kelsey Hightower Defining Interfaces with Swagger David N. Blank-Edelman Getting Beyond the Hero Sysadmin and Monitoring Silos Dave Josephsen Betting on Growth vs Magnitude Dan Geer Supporting RFCs and Pondering New Protocols Robert G. Ferrell UPCOMING EVENTS NSDI ’16: 13th USENIX Symposium on Networked USENIX Security ’16: 25th USENIX Security Systems Design and Implementation Symposium March 16–18, 2016, Santa Clara, CA, USA August 10–12, 2016, Austin, TX, USA www.usenix.org/nsdi16 www.usenix.org/sec16 Co-located with NSDI ’16 Co-located with USENIX Security ’16 CoolDC ’16: USENIX Workshop on Cool Topics on WOOT ’16: 10th USENIX Workshop on Offensive Sustainable Data Centers Technologies March 19, 2016 August 8–9, 2016 www.usenix.org/cooldc16 Submissions due May 17, 2016 www.usenix.org/woot16 SREcon16 CSET ’16: 9th Workshop on Cyber Security April 7–8, 2016, Santa Clara, CA, USA Experimentation and Test www.usenix.org/srecon16 August 8, 2016 Submissions