Lean Software Development and IT Enabled Services

Cost reduction through Productivity improvement is industrial engineering.

Ubiquity of Industrial Engineering Principle of  Industrial Engineering

Industrial Engineering is applicable to all branches of engineering.

Illustration: Google's  Engineering Productivity Department - Evolution of the Department through Automation of Testing. Emergence of Software Engineering Productivity Engineer & Specialist. 

2024 BEST E-Book on #IndustrialEngineering. 

INTRODUCTION TO MODERN INDUSTRIAL ENGINEERING.  Free Download.

https://academia.edu/103626052/INTRODUCTION_TO_MODERN_INDUSTRIAL_ENGINEERING_Version_3_0 

Industrial engineering is done in products, facilities and processes. Improvements or redesigns are done in products, facilities and processes to reduce the quantities of inputs to produce outputs with the designed effectiveness. Effectiveness first. Efficiency next.

Software Development Operation Process Chart - Analysis of Software Writing (Development) Operations - Industrial Engineering in Software Development

https://nraoiekc.blogspot.com/2023/11/software-development-operation-process.html

2023

The authoritative guide to Lean software development

Brad Hipps

10-31-2023

https://socraticworks.com/methods/The-authoritative-guide-to-Lean-software-development

2021

Lean and Agile Software Development

5th International Conference, LASD 2021, Virtual Event, January 23, 2021, Proceedings

Editors (view affiliations)

Adam Przybyłek, Jakub Miler,Alexander Poth, Andreas Riel

https://link.springer.com/book/10.1007/978-3-030-67084-9

Lean Software Development

https://www.sciencedirect.com/topics/computer-science/lean-software-development

DevOps process: Visibility of work in the value stream 

https://cloud.google.com/architecture/devops/devops-process-work-visibility-in-value-stream

2020

Lean Software Development Practices and Principles in Terms of Observations and Evolution Methods to increase work environment productivity

September 2020

DOI:10.13140/RG.2.2.27514.72648

Authors:

Llahm Omar Ben Dalla

Sebha University

Lean Software Development (LSD) is one of the influential Agile Software Development (ASD) methods. Furthermore, the main aim and objective of this essential method is creating customer value as well as swift delivery in time within the required budget. Moreover, the lean methodology can enhance the business domain via adopting the usage of lean principles (LPs) according to the business requirements in diverse domains. This observational paper provides observations on the evolution of lean software development practices as well as principles. This study is a significant in terms of three important contributions: the first stage of the contribution is defined as lean as well as lean principles in terms of powerful as well as weaknesses. In addition, the second contribution studied the relationship between ASD as well as LSD. Further, the study contributes the comprehensive understanding of LSD principles and practices during the recent decade. Additionally, the results of this beneficial study are important for several domains such as the industrial world, the educational world, the manufacturing world as well as the scientific world in addition to researchers who aimed for some investigations outcome based on LSD practices besides principles in manufacturing domain.

https://www.researchgate.net/publication/344409240_Lean_Software_Development_Practices_and_Principles_in_Terms_of_Observations_and_Evolution_Methods_to_increase_work_environment_productivity

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Alliance Software - See for more videos

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2018

Benefits adding lean to agile software development

1) Reduced lead time:

2) Improved flow:

3) Continuous improvement:

4) Improved defect fix rate:

Agile to Lean Software Development Transformation: a Systematic Literature Review

Filip Kisˇs and Bruno Rossi

Proceedings of the Federated Conference on Computer Science and Information Systems, 2018 pp. 969–973

DOI: 10.15439/2018F53

ISSN 2300-5963 ACSIS, Vol. 15, IEEE Catalog Number: CFP1885N-ART c  2018, PTI

2017

What is DevOps

IBM Developer
Published on 1 Mar 2017
http://ibm.biz/ibmdev-newsletter
Get the Developer Webcast Calendar newsletter to learn about new  videos and upcoming webcasts from IBM Developer.

IBM Distinguished Engineer and Solutions Architect Sanjeev Sharma delivers a basic, comprehensive overview of the DevOps.

Productivity of the software development and deployment process is usually improved in two ways:
 - Reduce the amount of rework that needs to be done for the specific project
 - Reduce the amount of overhead in the process in general

Download Sanjeev Sharma's eBook  "DevOps For Dummies": http://ibm.co/devopsfordummies

2014


Lean Engineering: Applying Lean Startup Principles at Paypal
by Bill Scott on Aug 25, 2013
http://www.infoq.com/presentations/paypal-stack


2013

The Lean India Summit - Nov 15-16, 2013
Taj Vivanta Hotel, Trinity Circle, Bangalore
Organized by Knowledge Works
http://www.knowledgeworksindia.com/download/LIS.html

http://leanindiasummit.com/moreinfo/320/

When you agile, you get lean
http://www.solutionsiq.com/confirmation-pages/When-you-are-Agile-you-get-Lean-SolutionsIQ-Charlie-Rudd-white-paper/


Kaizen Principles for Creating Great Agile Teams
http://www.slideshare.net/Leanindiasummit/kaizen-and-fish-28375236



2012
Invisible Waste and Hidden Opportunities in IT
TBMCG article
http://www.tbmcg.com/misc_assets/newsletter/OpEx_0612_TechMatters_IT_Remy.pdf

How to Advance Lean Software Development (Beyond the ‘Toyota Way’)

How-To

May 21, 2012

9 mins

Matthew Heusser is a consulting software tester and self-described software process naturalist who develops, tests and manages software projects. Matt is a contributing editor for Software Test & Quality Assurance Magazine and his blog “Creative Chaos” focuses on software writing. An elected member of the Board of Directors of the Association for Software Testing, Matt recently served as lead editor for “How to Reduce the Cost of Software Testing” (Taylor and Francis, 2011). You can follow Matt on Twitter @mheusser or email him.

https://www.cio.com/article/287092/agile-development-how-to-advance-lean-software-development-beyond-the-toyota-way.html

Interesting article on What Wipro, a software company learned from Toyota.

http://timesofindia.indiatimes.com/tech/enterprise-it/strategy/What-Wipro-learned-from-Toyota-/articleshow/7979640.cms

A blog on agile development and Kanban

http://yuvalyeret.com/

Books on Lean Software Development

Implementing Lean Software Development: From Concept to Cash (Addison-Wesley Signature Series)
by Mary Poppendieck

http://www.powells.com/biblio/2-9780321437389-4

Lean software development: an agile toolkit By Mary Poppendieck, Tom Poppendieck

2003

http://books.google.co.in/books?id=hQk4S7asBi4C

https://books.google.com/books?id=IJ1gAgAAQBAJ&printsec=frontcover#v=onepage&q&f=false

Lean software strategies: proven techniques for managers and developers
Peter Middleton, James Sutton

2005

http://books.google.co.in/books?id=h1-P74QXkVkC

Implementing lean software development: from concept to cash
By Mary Poppendieck, Tom Poppendieck

2007

http://books.google.co.in/books?id=jlRnQgAACAAJ

Leading Lean Software Development: Results Are Not the Point
By Mary Poppendieck, Tom Poppendieck

2009

http://books.google.co.in/books?id=txRTPgAACAAJ

The Poppendiecks are authors of Lean Software Development, winner of the 2004 Jolt Software Development Productivity Award

The Art of Lean Software Development: A Practical and Incremental Approach

Curt Hibbs, Steve Jewett, Mike Sullivan

"O'Reilly Media, Inc.", 15-Jan-2009 - Computers - 142 pages

This succinct book explains how you can apply the practices of Lean software development to dramatically increase productivity and quality. Based on techniques that revolutionized Japanese manufacturing, Lean principles are being applied successfully to product design, engineering, the supply chain, and now software development. With The Art of Lean Software Development, you'll learn how to adopt Lean practices one at a time rather than taking on the entire methodology at once. As you master each practice, you'll see significant, measurable results. With this book, you will:

Understand Lean's origins from Japanese industries and how it applies to software development

Learn the Lean software development principles and the five most important practices in detail

Distinguish between the Lean and Agile methodologies and understand their similarities and differences

Determine which Lean principles you should adopt first, and how you can gradually incorporate more of the methodology into your process

Review hands-on practices, including descriptions, benefits, trade-offs, and roadblocks

Learn how to sell these principles to management

The Art of Lean Software Development is ideal for busy people who want to improve the development process but can't afford the disruption of a sudden and complete transformation. The Lean approach has been yielding dramatic results for decades, and with this book, you can make incremental changes that will produce immediate benefits.

"This book presents Lean practices in a clear and concise manner so readers are motivated to make their software more reliable and less costly to maintain. I recommend it to anyone looking for an easy-to-follow guide to transform how the developer views the process of writing good software."-- Bryan Wells, Boeing Intelligence & Security Sytems Mission System

"If you're new to Lean software development and you're not quite sure where to start, this book will help get your development process going in the right direction, one step at a time."-- John McClenning, software development lead, Aclara

https://books.google.co.in/books?id=sBy4OrfZyYsC

Lean IT: Enabling and Sustaining Your Lean Transformation 2010 book
http://books.google.co.in/books?id=3Si41XmQlXAC


Lean Enterprise Software and Systems
LESS 2013, Ireland
Conference Proceeding
Preview from Google Books
https://books.google.co.in/books?id=ACm5BQAAQBAJ&printsec=frontcover#v=onepage&q&f=false





Lean Software Development - Tutorial Slides by the Poppendiecks
http://xpday3.xpday.org/slides/LeanTutorial.pdf

Lean Essays

by Poppendieck LLC

http://www.leanessays.com/

Podcast with Mary and Tom Poppendieck

from Hanselman.com

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http://www.youtube.com/watch?v=U_HgMduuE5s

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Google Video on Competing on Speed

Mary Poppendieck

http://video.google.com/videoplay?docid=-5105910452864283694#

Research Papers - Lean Software Development

----------------------

Agile to Lean Software Development Transformation: A Systematic Literature Review

Filip Kišš; Bruno Rossi

Abstract:

We wanted to better understand the “agile-to-lean” transformation, in terms of: i) reported benefits, ii) challenges faced, iii) metrics used. Method: we performed a Systematic Literature Review (SLR) about “agile-to-lean” transformations. Results: reduced lead time, improved flow, continuous improvement, and improved defect fix rate were the main reported benefits. Adaptation to lean thinking, teaching the lean mindset, identification of the concept of waste, and scaling flexibility were the main challenges. Lead time was the most reported metric.

Published in: 2018 Federated Conference on Computer Science and Information Systems (FedCSIS)

https://ieeexplore.ieee.org/abstract/document/8511295

https://www.sciencedirect.com/topics/computer-science/lean-software-development

A selection of articles

The lean gap: A review of lean approaches to large-scale software systems development

J. Pernstål , R. Feldt , T. Gorschek 

Journal of Systems and Software

Volume 86, Issue 11, November 2013, Pages 2797-2821

https://www.sciencedirect.com/science/article/abs/pii/S0164121213001477

Updated on 11.3.2024, 27.11.2023, 16 Oct 2021, 28 August 2020,  22 June 2019, 13 March 2015

Original Knol - Knol no. 4309 by NRao - http://knol.google.com/k/narayana-rao/lean-software-development-and-it/ 2utb2lsm2k7a/ 4309

Microsoft - Cost Management and Productivity Improvement

 

2024 Annual Report

Going forward, we are focused on three priorities: 

First, prioritizing fundamentals, with security above all else. We launched the Secure Future Initiative (SFI) this year, bringing together every part of our organization to advance cybersecurity protection.

 Second, driving trustworthy AI innovation across our entire portfolio while continuing to scale our cloud business. 

And, finally, managing our cost structure dynamically to generate durable, long-term operating leverage. All three priorities are critical to our ability to continue thriving as a company as we raise the bar on our operational excellence, with a focus on continuous improvement across everything we do.

https://www.linkedin.com/pulse/my-annual-letter-relevance-reinvention-satya-nadella-v91xc/

Cost Reduction of Products and Services at unit level through Productivity Improvement of all Resources used in Production Processes is the primary and core function of Industrial Engineering.

Reducing the machine hours and labor hours based on engineering modifications is the focus of industrial engineering. It has to result in reduced cost of units produced. Hence every industrial engineering project or study begins with a time study, cost study (estimation), and productivity study. When an industrial engineering project is completed, its benefits are indicated by once again doing a time study, cost study and productivity study. As an intermediate stage, estimates of time, cost and productivity are made by industrial engineers.

Modern Industrial Engineering - A Book of Online Readings. PDF File. FREE Download. 

Download the Index to 500 Best Industrial Engineering ONLINE articles and essays arranged module wise. A Comprehensive coverage of modern industrial engineering.

https://www.academia.edu/126612353/Modern_Industrial_Engineering_A_Book_of_Online_Readings

Google Engineering Productivity Department - Activities and Accomplishments

A challenge to  Google Engineering Productivity Department

Now in  AI, the future belongs to those who can do more with less. #IndustrialEngineering in demand.

Product and Process Industrial Engineering of Generative AI - LLM Models - Deepseek Story.

https://nraoiekc.blogspot.com/2025/01/product-and-process-industrial.html

Google Engineering Productivity

Engineering Productivity : Delivering frictionless engineering and excellent products

What is Engineering Productivity?

We are a data-driven engineering discipline focused on optimizing the engineering process so that Google can deliver amazing experiences to our users, faster.

Philosophy
Qualities that humanize Engineering Productivity

Book

https://abseil.io/resources/swe-book/html/toc.html

https://x.com/milan_milanovic/status/1828327016048816208

Satish Chandra

Software Engineering Productivity Engineering at  Google

https://sites.google.com/site/schandraacmorg/

Evolution of the Department through Automation of Testing. Emergence of Software Engineering Productivity Engineer & Specialist.

Initial attempts  to automate testing  focused on the frontends, which worked, because Google was small and products had fewer integrations.  However, as Google grew, longer and longer manual test cycles  delayed feature launches.  Since bugs were identified late in testing, it took longer time  to fix them.  Making possible testing upstream in the development cycle via automation was thought to help  address the issues and reduce development time. 

Testing was transitioned to automated processes and operations. Two separate roles began to emerge to develop automated testing software at Google:

Test Engineers (TEs) having deep product knowledge,  and ability to develop testing/quality control check specifications.  TEs focused on what should be tested and the manual process of testing.

Software Engineers in Test Automation Development (SETs) -- Software engineers with deep development expertise and experience in automating manual testing processes.  SETs built the frameworks and packages required to implement automation of testing procedures.

The impact of this section and its expertise was significant:

Automated tests became more efficient  by improving runtimes.  

Automated testing led to higher quality products.

TEs developed extreme depth of knowledge for the testing of products.   They became go-to engineers for product teams that needed expertise in test automation and integration. Their role evolved into a broad spectrum of responsibilities: writing scripts to facilitate automated testing,  and constantly designing better and more creative ways to identify weak spots and break software.

SETs  built a wide array of test automation tools and developed best practices that were applicable across many products. Release velocity accelerated for products.  All was good, and there was much rejoicing!

SETs initially focused on building tools for reducing the testing cycle time, since that was the most manually intensive and time consuming phase of getting product code into production.  Some of these tools were made available to the software development community: webdriver improvements, protractor, espresso, EarlGrey, martian proxy, karma, and GoogleTest. SETs were interested in sharing and collaborating with others in the industry and established conferences. The industry has also embraced the Test Engineering discipline, as other companies hired software engineers into similar roles, published articles, and drove  AutomatedTest-Driven Development into mainstream practices.

Through these efforts, the testing cycle time decreased dramatically.  Other phases in the development cycle now became the bottleneck.  SETs started building tools to accelerate all other aspects of product development, including:

Extending IDEs to make writing and reviewing code easier, shortening the “write code” cycle

Automating release verification, shortening the “release code” cycle.

Automating real time production system log verification and anomaly detection, helping automate production monitoring.

Automating measurement of developer productivity, helping understand what’s working and what isn’t.

In summary, the work done by the SETs naturally progressed from supporting only product testing efforts to include supporting product development efforts as well. Their role now developed into  a much broader Software Engineering Productivity Engineer & Specialist.

From Automated Testing to Engineering Productivity
March 22, 2016 By Ari Shamash
https://testing.googleblog.com/2016/03/from-qa-to-engineering-productivity.html

Department's  System Level View

With a system-level view and a user-centric view, we work hard to identify gaps and inefficiencies in our engineering process so that we can build solutions to improve engineering excellence and velocity.

Instrumentation

We believe that you can’t improve what you can’t measure. Google is a data-driven company and we are a data-driven discipline. We obsess over metrics and work hard to move them in the right direction.

Tools and Infrastructure

Much like a bustling metropolis needs great infrastructure to enable happy and productive residents, Google engineers working on complex systems need the right tools and infrastructure to be productive.

Focus on the user
We embed in product engineering teams where we champion polished products for Google’s users and fast, scalable engineering for our users, Google’s engineers.

Interested in joining Engineering Productivity?
We are looking for world class engineers that bring a quantitative mindset, execution velocity, leadership skills, and a passion to change the way engineering is done at Google and beyond.

Google strives to cultivate an inclusive workplace. We believe diversity of perspectives and ideas leads to better discussions, decisions, and outcomes for everyone.

Reasoning about the correctness of Engineering and Engineering Change 

Reasoning about the correctness of your change is now much more difficult.

Some questions come up, including: How do you make sure your change works? How do you make sure your change didn’t break an obscure use case for a user in a different geography? How do you prepare your change such that the next 100 engineers that modify the system don’t break the feature you just added?

These are complex problems that require tooling and infrastructure to help engineers reason about the correctness of their change. EngProd’s purpose is to make engineering easier and better, so we spend a lot of time on the hardest part of the process: building tools and infrastructure to make testing and debugging simpler.


Careers

Software Engineer, Tools and Infrastructure (SETI)
SETI at Google is a Software Engineering role that focuses on building software, infrastructure, harnesses, tooling to help improve engineering velocity and product excellence.

You might love this role if:

You love developing tools that make the engineering process better - be it command line tools, web services, debugging tools, test data factories, etc.
You are passionate about high-quality software and unhappy about shortcuts and hacks in the code.
You have worked to automate and remove repetitive and manual tasks because inefficiency drives you crazy.
You believe that unless you can quantify or measure something, you probably can’t improve it.

Test Engineer (TE)
TE at Google is a technical role that focuses on advancing product excellence and engineering productivity.

You might love this role if:

You have an unwavering passion for, and focus on, polished products, engineering excellence, and productivity.
You love thinking through complex product and system interactions to find gaps, failure modes, and edge cases.
You have worked to automate and remove repetitive and manual tasks because inefficiency drives you crazy.
You love to design, implement, and improve tools, frameworks, metrics, and processes.
You love to work, collaborate, and lead cross-functionally.

Google Research - A Human Centered Approach to Developer Productivity

Ciera Jaspan & Collin Green

https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9994260

How Google Measures Developer Productivity

Abi Noda

Co-Founder at DX, Developer Insights Platform

August 4, 2023

https://www.linkedin.com/pulse/how-google-measures-developer-productivity-abi-noda/

Real insights.

Real improvement.

From startups to the Fortune 500, DX is the trusted platform for measuring and improving developer productivity.

https://getdx.com/

An Engineering Perspective on Writing Assistants for Productivity and Creative Code

Ambar Murillo Sarah D'Angelo

(2023) (to appear)

https://research.google/pubs/pub52295/

https://storage.googleapis.com/pub-tools-public-publication-data/pdf/7912e24380643439717dff0b8169e8f0c69f1012.pdf

Large sequence models for software development activities - ML based assistants for developers/programmers

https://blog.research.google/2023/05/large-sequence-models-for-software.html

Resolving code review comments with ML

TUESDAY, MAY 23, 2023

Posted by Alexander Frömmgen, Staff Software Engineer, and Lera Kharatyan, Senior Software Engineer, Core Systems & Experiences

https://blog.research.google/2023/05/resolving-code-review-comments-with-ml.html

ML-Enhanced Code Completion Improves Developer Productivity

TUESDAY, JULY 26, 2022

Posted by Maxim Tabachnyk, Staff Software Engineer and Stoyan Nikolov, Senior Engineering Manager, Google Research

https://blog.research.google/2022/07/ml-enhanced-code-completion-improves.html

Google Research 2023

https://blog.research.google/2023/01/google-research-2022-beyond-language.html

Google Research - What Predicts Software Developers’ Productivity?

Emerson Murphy-Hill,  Ciera Jaspan, Caitlin Sadowski, David C. Shepherd, Michael Phillips, Collin Winter, Andrea Knight, Dolan Edward K. Smith, Matthew A. Jorde
Transactions on Software Engineering (2019)
https://research.google/pubs/pub47853/

From QA to Engineering Productivity
Tuesday, March 22, 2016
By Ari Shamash
https://testing.googleblog.com/2016/03/from-qa-to-engineering-productivity.html

Interesting - Recent 2025

Ankit Jain  - Jan 28, 2025

Rebuilding Google’s Engineering Productivity (EngProd)

We're rebuilding Google’s EngProd on the modern engineering stack to solve collaboration challenges at every stage of the development process, from code reviews to builds, testing, merging, and deployment.

https://www.aviator.co/blog/rebuilding-googles-engineering-productivity-engprod/#

2020 August Advertisement for Software Engineer, Engineering Productivity

Note: By applying to this position your application is automatically submitted to the following locations: Mountain View, CA, USA; Palo Alto, CA, USA; San Bruno, CA, USA; San Francisco, CA, USA; Sunnyvale, CA, USA

Minimum qualifications:

Bachelor's degree in Computer Science or related technical field or equivalent practical experience.
Software development experience in one or more general purpose programming languages.
Experience in one or more of the following: test automation, refactoring code, test-driven development, build infrastructure, optimizing software, debugging, building tools and testing frameworks.
Preferred qualifications:

Master's or PhD degree in Computer Science or related technical field.
Experience with one or more general purpose programming languages including but not limited to: Java, C/C++, C#, Objective-C, Python, JavaScript, or Go.
Scripting skills in Python, Perl, Shell or another common language.
About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Google aspires to be an organization that reflects the globally diverse audience that our products and technology serve. We believe that in addition to hiring the best talent, a diversity of perspectives, ideas and cultures leads to the creation of better products and services.

Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.

Responsibilities
Lead/contribute to engineering efforts from design to implementation, solving complex technical challenges around developer and engineering productivity and velocity.
Design and build advanced automated build, test, and release infrastructure.
Drive adoption of best practices in code health, testing, and maintainability.
Analyze and decompose complex software systems and collaborate with cross-functional teams to influence design for testability.
https://careers.google.com/jobs/results/72445869200155334-software-engineer-engineering-productivity/


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https://www.youtube.com/watch?v=ETtRxDEYeF4
Uploaded by Productivity Engineering Silicon Valley
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Engineering Productivity at Google; Increasing Developer Productivity and Code Health - Google Event

July 19, 2018
Sunnyvale, CA
About

At Google, we have over 2,000 engineers who contribute to Engineering Productivity. They work hard to help make developer tools and processes more efficient by building test automation tools, accelerating release processes and discovering new ways to optimize workflows.


There are multiple teams in which Engineering Productivity plays a key role. Please join us for an evening to hear from Googlers whose work directly impacts thousands of Google engineers and billions of users.


The evening will kickoff with a welcome by Jennifer Bevan, Software Engineering Lead, whose team works toward helping Google products have easy, stable, and testable integrations for all user scenarios. Following this, we’ll hear from other Engineering Productivity teams, including Google Photos, Hardware, Cloud, and Google Ads. We’ll learn how these various teams work toward providing tools for efficiency across Google. Lastly, we’ll dive into a Q&A panel for your chance to ask questions.


After the Q&A panel, we invite you to stick around, chat with speakers and their teammates, make connections and enjoy the reception! Also be sure to check out our Nest corner to get hands on experience with Nest products and mingle with Engineering Productivity teams from Nest.


The event will be hosted on Thursday, July 19th from 5:30PM - 8:30PM  at Google in Sunnyvale. Dress is business casual. Check-in at 111 W Java Dr., Sunnyvale at 5:30PM for registration.



Featured Speakers

Jennifer Bevan

Lead, Software Engineer, Tools and Infrastructure

User Test & Productivity for Google Products

Jennifer Bevan started working at Google in 2006 working on core Google-wide test infrastructure. She then worked on Privacy, Policy, and Accessibility testing with Photos, G+, and Counter-Abuse Technologies, and now leads Google Product Infrastructure's User EngProd team. Prior to Google, Jennifer got her B.S. in Electrical Engineering / Computer Science from UC Berkeley, worked at the Jet Propulsion Laboratory building control and data verification systems, and got her Ph.D. from UC Santa Cruz in Software Evolution and Maintenance.



Jonathan Velasquez

Lead, Software Engineer, Tools and Infrastructure

Test Infrastructure for Google Home, Google WiFi, and Cast

I was born in Peru and went to school in SUNY Binghamton where I graduated in Computer Engineering in 2007. I have been working as a SETI at Google since 2011 and have been part of several major launches including Google+, Project Fi and the Google Home Max. Today I manage the Home Platform infrastructure team supporting Chromecast, Google Home and Google WiFi. In my spare time I enjoy playing classical piano and practicing tennis.



Amod Kulkarni

Senior Engineering Manager

Engineering Productivity for Google Ads

 Amod earned a Masters degree in CS from the Indian Institute of Science, India. He has been working in Google as SETI over twelve years. For last 3 years he is Tech Lead / Manager for Shopping Engineering Productivity team focusing on building tools and infrastructure to enable Shopping engineers build and launch high quality shopping features quickly.


His favorite part of being SETI is an entrepreneurial nature of this role. You get lot of freedom to come up with new ideas, prototype and solve challenging problems.



Abhi Vaidya

Senior Staff Software Engineer, Tools & Infrastructure

Test Infrastructure for Google Cloud Platform

Abhi has been working at Google for over 13 years now. He started at Google in 2005 and has worked mainly on developer productivity tools across ads, core infrastructure and most recently on Google Cloud Platform. His area of work spans storage systems used within Google (GFS for those of you who are familiar with it) and its replacement, software that runs in Google data centers and building large scale productivity improvement tooling. He is currently managing a team of 20 Software Engineers and the products built by his teams over the year are used by close to 800 engineers within Google Cloud Platform.

Victor Tse

Engineering Productivity Manager

Engineering Productivity for YouTube

Victor Tse is an Engineering Manager at Youtube. He is part of the Youtube Engineering Productivity team that focuses on transforming the way products are architected, developed and tested. Previously, he built enterprise software applications and held engineering leadership positions at Siebel Systems, Oracle and Marin Software.

Stephanie Tsao

Software Engineer

Photos Engineering Productivity and Test for Photos

Stephanie worked at Microsoft for 5 years as a Hotmail backend software engineer. She switched to Google and the engprod world early 2014 and is now leading the Photos engprod team to help better scale Photos to be the next 1B user app.
https://engineeringproductivity.splashthat.com/


Software Engineering at Google by Titus Winters, Tom Manshreck, Hyrum Wright
Chapter 7. Measuring Engineering Productivity
Written by Ciera Jaspen
https://www.oreilly.com/library/view/software-engineering-at/9781492082781/ch07.html

Sunday, July 30, 2017
TestOps #5 - Engineering Productivity
https://www.awesome-testing.com/2017/07/testops-5-engineering-productivity.html

Related LinkedIn Members

Nabarun Roy 

Senior Vice President, Group Head - Quality, Productivity, Risk Management at Infosys Limited

Infosys Limited

IIT Kharagpur

Bengaluru, Karnataka, India  

https://www.linkedin.com/in/nabarun-roy-a395422/

Prachi Sharma 

Leading Gen AI products

Amazon

National Institute of Industrial Engineering

Bengaluru, Karnataka, India

https://www.linkedin.com/in/prachi-sharma-6201a9126/

Updated on 2.9.2025,  26.11.2023,  9 August 2021,  5 August 2020
16 March 2019

Developer Productivity Engineering

Developer Productivity Engineering

Developer Productivity Engineering (DPE) is a software development practice used by leading software development organizations to maximize developer productivity and happiness.

Developer Productivity Engineering Overview

As its name implies, DPE takes an engineering approach to improving developer productivity. As such, it relies on automation, actionable data, and acceleration technologies to deliver measurable outcomes like faster feedback cycles and reduced mean-time-to-resolution (MTTR) for build and test failures. As a result, DPE has quickly become a proven practice that delivers a hard ROI with little resistance to product acceptance and usage.

Organizations successfully apply the practice of DPE to achieve their strategic business objectives such as reducing time to market, increasing product and service quality, minimizing operational costs, and recruiting and retaining talent by investing in developer happiness and providing a highly satisfying developer experience. DPE accomplishes this with processes and tools that gracefully scale to accommodate ever-growing codebases.

Gradle is pioneering the practice of DPE and Gradle Enterprise serves as the key enabling technology and solution platform.

https://gradle.com/developer-productivity-engineering/

Developer Productivity Engineering Handbook by Gradle

https://gradle.com/developer-productivity-engineering/handbook/

NEWSLETTER

Engineering Enablement

The latest research and perspectives on developer productivity.

By Abi Noda

Co-Founder at DX, Developer Insights Platform

https://www.linkedin.com/newsletters/engineering-enablement-7025192448687579136/

Is Developer Productivity Engineering the Next Big Thing in Software?

Published on April 2, 2021

https://www.linkedin.com/pulse/developer-productivity-engineering-next-big-thing-software-caccamo/

Developer Productivity Engineering vs Developer Productivity Management

https://www.linkedin.com/pulse/exploring-developer-productivity-solution-landscape-wayne-caccamo/

HOW TO REDUCE SOFTWARE DEVELOPMENT COSTS?

https://www.linkedin.com/pulse/how-reduce-software-development-costs-harry-nguyen/

25.7.2025

METR’s study on how AI affects developer productivity.

Abi Noda

July 24, 2025

Conducted by METR, a nonprofit research organization focused on evaluating AI capabilities, the study found that AI tools actually slowed down developers working on real-world tasks. (Read the full paper here, and METR’s blog post here.)

https://www.linkedin.com/pulse/metrs-study-how-ai-affects-developer-productivity-abi-noda-qqzhc/

Ud. 25.7.2025, 26.11.2023

Pub. 3.6.2022

Business Process Efficiency Engineering - Improvement - Industrial Engineering Through Information Technology

INTRODUCTION TO MODERN INDUSTRIAL ENGINEERING  Pdf File. FREE DOWNLOAD.

by Narayana Rao Kvss. (10,900+ Downloads so far)

https://www.academia.edu/103626052/INTRODUCTION_TO_MODERN_INDUSTRIAL_ENGINEERING_Version_3_0

Effectiveness First and Efficiency Next in the design steps.  Industrial engineering focuses on efficiency improvement.

Organizations have to be effective and efficient simultaneously in all tasks in their working. Processes have to be effective and efficient simultaneously. Operations have to be effective and efficient simultaneously. - Narayana Rao

Three Major Channels of Process Improvement.

1. Process Redesign by Process Planning Team.

2. Process Improvement Study by Industrial Engineering Team.

3. Continuous #Improvement by Involving Shop Floor Employees and All Employees.

Continuous Improvement - Employee Participation Principle of Industrial Engineering

http://nraoiekc.blogspot.com/2017/06/15-continuous-improvement-employee.html

New:

Smart Machine Based Business Process Design and Improvement

A study into the contingencies of process improvement methods

Monika Malinova et al.

Information Systems

Volume 104, February 2022, 101880

https://www.sciencedirect.com/science/article/pii/S0306437921001022

Above is a detailed research paper.

Accenture 2018 Note: PROCESS REIMAGINED

Together, people and AI are reinventing business processes from the ground up.

Book by Accenture Consultants: Daugherty, Paul R. and Wilson, H.J.,  Human + Machine: Reimagining Work in the Age of AI. Boston: Harvard Business Review Press, 2018.

SMART MACHINES ARE REINVENTING HOW WORK IS DONE

Smart machines are helping some companies achieve amazing results in some business processes.  It is already delivering profound results, across industries and for the economy as a whole.

Accenture consultants Daugherty, Paul R. and Wilson, H.J., surveyed more than 1,075 process professionals from large companies that use artificial intelligence technologies in at least one business process. Some 88 percent of organizations using machine learning have seen at least a 200 percent improvement in KPIs in enterprise processes.

https://nraoiekc.blogspot.com/2022/09/smart-machine-based-business-process.html

Business Process Efficiency Improvement or Engineering

Business Process Efficiency Improvement or Engineering must involve process re-design to obtain processes that achieve the same (functional) goals, while increasing efficiency of the process (decreasing the cost of the process)

Maxine Attong - COD Business Process Improvement Manual, (Page 146)

Process Measurements

Three sets of  measures are used to gauge the process.

1. Process efficiency - measures the time that activities take to covert inputs to outputs.
2.Output effectiveness - measures how well the output meets the design requirements.
3. Output effectiveness and customer satisfaction - measures how well output meets customers' needs.

Process Efficiency Measures

Ideally, one measures identifies the minimum possible resources to be consumed during the process. Actual resource consumption is quantified and assessed against set standards as a variance, variation or deviation. The results lead to the control (managerial actions)  of people, materials, methods, environment and the way each resource or factor interacts with the other. Resource consumption is an easy measure since it is tangible.  Standards are set based on the experience or scientific investigations (Scientific Management).

Example - Accounts Payable Process Efficiency Measures

Inputs - Purchase invoices received per month.
Time - The cycle time and the basic work time taken for an invoice to be processes and for the vendor to receive payment.
People - Payroll cost, Level of training or skilled labor used in the process
Equipment - Utilization and cost
Output - The number of accurate payments generated per month and reasons for delays

Detailed description of measurements made is available in the book.

Purpose of Efficiency Measures

Efficiency measures are used to drive decision making around improving the process. Each measurement tells the story about the process. The process owner, process designer, and efficiency engineer (industrial engineer) have to know the causes before changes can be made to improve the process.

Efficiency Analysis of Inputs

Efficiency Analysis of Time

Efficiency Analysis of People

Details given in the book.


Identifying Drivers of Inefficiency in Business Processes

https://books.google.co.in/books?id=s6BuCQAAQBAJ&pg=PA121#v=onepage&q&f=false

Analysis of Recruitment Process for Effectiveness and Efficiency

https://books.google.co.in/books?id=dBus2eVk8AkC&pg=PA163#v=onepage&q&f=false

Streamlined Process Improvement - H. James Harrington 

https://books.google.co.in/books?id=tRKWSWbR18EC


Using Business Process Re-engineering to Increase Process Efficiency of E-Catalogue
Distribution System
Zulkhairi Md Dahalin and Siti Fatimah Yusof
IBIMA Business Review
http://www.ibimapublishing.com/journals/IBIMABR/ibimabr.html
Vol. 2012 (2012), Article ID 731793, 8 pages
http://www.ibimapublishing.com/journals/IBIMABR/2012/731793/731793.pdf

A More Comprehensive Approach to Enhancing Business Process Efficiency
Seung-Hyun Rhee 1, Nam Wook Cho 2, and Hyerim Bae 3
1 Department of Industrial Engineering, Seoul National University, 151-742, Seoul, Republic of Korea
2 Department of Industrial and Systems Engineering,
Seoul National University of Technology, 139-743, Seoul, Republic of Korea
3 Department of Industrial Engineering, Pusan National University, 635-709, Busan, Republic of Korea

Abstract. Whereas Business Process Management (BPM) systematically guides employee participation in business processes, there has been little support, use or development of user-friendly functions to improve the efficiency of those processes. To enhance business process efficiency, it is necessary to provide automatic rational task allocation and work-item importance prioritization, so that task performers no longer need to be concerned with process performance. In the context of BPM, two different perspectives, the Process Engine Perspective (PEP) and the Task Performer Perspective (TPP), are considered. Accordingly, we developed a comprehensive method that considers those two perspectives, in combination rather than separately.

Process Engine

https://second.wiki/wiki/business_process_engine

Development and testing of a business process orientation model to improve employee and
organizational performance
Arshad Zaheer,  Kashif Ur Rehman, and Muhammad Aslam Khan
October 2009
http://www.academicjournals.org/Ajbm/PDF/pdf2010/Feb/Zaheer%20et%20al.pdf

Business Process Efficiency Engineering - Case Studies

Case Study - Business Process Improvement

Dev Mohindra

Senior Project Manager at Capgemini

August 6, 2020

https://www.linkedin.com/pulse/case-study-business-process-improvement-dev-mohindra/

More

Business Process Improvement - Industrial Engineering Through Information Technology - Bibliography

Information Systems Industrial Engineering - Information Systems Engineering

Ud.  7.7.2025,  25.8.2023,  9.9.2022,  18.8.2022,  28.5.2022

Pub June 2013 

Cloud Computing Cost Reduction - Microsoft Internal Cost Reduction of Azure Usage - 95% of the Applications Run on Azure

 

Adopt modern engineering practices

Cost optimization is one of the five components of the Microsoft Azure Well-Architected Framework, and each pillar functions best when supported by proper implementation of the other four. Adopting modern engineering practices that support reliability, security, operational excellence, and performance efficiency will help to enable better cost optimization in Microsoft Azure. This includes using modern virtual machine sizes where virtual machines are needed and architecting for Azure PaaS components such as Microsoft Azure Functions, Microsoft Azure SQL, and Microsoft Azure Kubernetes Service when virtual machines aren’t required. Staying aware of new Azure services and changes to existing functionality will also help you recognize cost-optimization opportunities as soon as possible.

Recent Cost Reduction Projects - that significantly reduced spending across numerous Microsoft Azure services. Examples,  include:

Right-sizing Microsoft Azure virtual machines. We generated more than 300 recommendations for VM size changes to increase cost efficiency. These recommendations included switching to burstable virtual machine sizes and accounted for a 15 percent cost savings.

Moving virtual machines to latest generation of virtual machine sizes. Moving from older D-series and E-series VM sizes to their current counterparts generated more almost 2,500 recommendations and a cost savings of approximately 30 percent.

Implementing Microsoft Azure Data Explorer recommendations. More than 200 recommendations were made for Microsoft Azure Data Explorer optimization, resulting in significant savings.

Incorporating Cosmos DB recommendations. More than 170 Cosmos DB recommendations reduced cost by 11 percent.

Implementing Microsoft Azure Data Lake recommendations. More than 30 Azure Data Lake recommendations combined to reduce costs by approximately 15 percent.

June 14, 2024

https://www.microsoft.com/insidetrack/blog/implementing-microsoft-azure-cost-optimization-internally-at-microsoft/

Industrial Engineering in Data Center Design - Facilities and Processes

Lesson 435  of  Industrial Engineering ONLINE Course - Applied Industrial Engineering Module

Latest information is at the bottom of each topic.

What is a Data Center?

Google Cloud Tech

2021

https://www.youtube.com/watch?v=Amow8BJm5Go

Books

Engineering and Management of Data Centers: An IT Service Management Approach

Jorge Marx Gómez, Manuel Mora, Mahesh S. Raisinghani, Wolfgang Nebel, Rory V. O'Connor

Springer, 10-Nov-2017 - Computers - 290 pages

This edited volume covers essential and recent development in the engineering and management of data centers. Data centers are complex systems requiring ongoing support, and their high value for keeping business continuity operations is crucial. The book presents core topics on the planning, design, implementation, operation and control, and sustainability of a data center from a didactical and practitioner viewpoint. Chapters include:

· Foundations of data centers: Key Concepts and Taxonomies

· ITSDM: A Methodology for IT Services Design

· Managing Risks on Data Centers through Dashboards

· Risk Analysis in Data Center Disaster Recovery Plans

· Best practices in Data Center Management Case: KIO Networks

· QoS in NaaS (Network as a Service) using Software Defined Networking

· Optimization of Data Center Fault-Tolerance Design

· Energetic Data Centre Design Considering Energy Efficiency Improvements During Operation

· Demand-side Flexibility and Supply-side Management: The Use Case of Data Centers and Energy Utilities

· DevOps: Foundations and its Utilization in Data Centers

· Sustainable and Resilient Network Infrastructure Design for Cloud Data Centres

· Application Software in Cloud-Ready Data Centers

This book bridges the gap between academia and the industry, offering essential reading for practitioners in data centers, researchers in the area, and faculty teaching related courses on data centers. The book can be used as a complementary text for traditional courses on Computer Networks, as well as innovative courses on IT Architecture, IT Service Management, IT Operations, and Data Centers.

https://books.google.co.in/books?id=_Sc-DwAAQBAJ

https://link.springer.com/book/10.1007/978-3-319-65082-1

Books by Manuel Mora

https://www.wheelers.co.nz/browse/author/1095788-manuel-mora/

Open Access

International Journal of Information Technologies and Systems Approach (IJITSA)

Editor-in-Chief: Manuel Mora (Universidad Autónoma de Aguascalientes, Mexico)

https://www.igi-global.com/journal/international-journal-information-technologies-systems/1098

03-29-2023

Joan Tafoya, Director of Data Center Global Operations, Meta

To make a data center run efficiently and reliability takes the intentional orchestration of people, process, and technology. The technology is the  hardware and software systems combination. It involves millions of servers distributed across the globe, instructed by the software to synchronize the work, resulting in a seemingly instantaneous experience to the user.  The software developer needs to build code that supports the business value while ensuring that the full capabilities of the hardware are exploited.  Is the full capability of the hardware exploited for value creation? An industrial engineer can evaluate periodically. It is the software engineering component of industrial engineering.

Technicians and infrastructure engineers in the data center need to attend to the many servers, ensuring that failed parts are replaced, hardware is configured to optimize for power and space, and facilities such as cooling, fiber, and power are always available. Finally, the flows of work, whether digital work or physical work need to continually be refined and adjusted to the changing user preferences and environmental considerations. The skills and expertise of industrial engineering is needed throughout the data center life cycle. 

In: A New Flock: Industrial and Systems Engineering Fusion

TiffanySargent, ‎   03-29-2023

https://community.intel.com/t5/Blogs/Tech-Innovation/Cloud/A-New-Flock-Industrial-and-Systems-Engineering-Fusion/post/1470817

7 Ways To Cut Data Center Costs: Gartner
IT managers who have to deal with increasing computing demand while also trying to cut costs would be wise to rationalize hardware costs and adopt server-based energy management.
6/12/2009
https://www.informationweek.com/software/7-ways-to-cut-data-center-costs-gartner/d/d-id/1080448


Overall Data Center Costs
James Hamilton, 2010 September
https://perspectives.mvdirona.com/2010/09/overall-data-center-costs/

5 Ways to Reduce Data Center Operations Costs
Anthony DeSpirito January 11, 2018

Right-size equipment
Re-assess your maintenance strategy
Keep staff happy, reduce turnover
Offer site-specific training
Manage what you have today – every day
https://blog.se.com/datacenter/2018/01/11/5-ways-reduce-data-center-operations-costs/

Data Centres typically generate a lot of heat - How to reduce energy waste?

As part of ‘Project Natick’, Microsoft has also acknowledged that data centres typically generate a lot of heat,

There are a few easy and relatively cheap steps you can make today to reduce energy waste within your data centre. 

July 19, 2018

https://www.itproportal.com/features/how-to-reduce-data-centre-energy-waste-without-sinking-it-into-the-sea/

Data Center TCO (total cost of ownership)

https://ongoingoperations.com/data-center-pricing-credit-unions/

How to plan a cost-effective Data Center transformation

Sify Technologies

https://www.sifytechnologies.com/blog/how-to-plan-a-cost-effective-data-center-transformation/

Electrical Engineering Books and Technical Guides
Data Center Guides (Design, Energy Efficiency and Testing)
https://electrical-engineering-portal.com/download-center/books-and-guides/data-center

Intel’s Data Center Industrial Engineering - USD 2.8 Billion in Savings - Productivity and Continuous Cost Reduction Strategy

Shesha Krishnapura | September 25, 2019

Technologies, solutions, and processes are applied to optimally serve Intel’s business through the following metrics: best-in-class quality of service (QoS), lowest unit cost, and resource utilization efficiency.

Continual improvement is done in each of these three metrics. The potential for improvement is first  defined as a “Model of Record” (MOR). This term represents a data center environment with an unconstrained budget ro buy the latest and greatest technology, develop new solutions, and update or develop new processes. In this MOR environment,   the lowest unit cost, best QoS, and maximum utilization are calculated. The MOR improves every year, because technology and processes improve every year. (Industrial engineers to note especially. IEs have to learn about new technologies and developments in existing technologies on a continuous basis.)

But in reality, every IT shop has a limited budget. Within that limited budget only, investments in improvement are done. This real world environment is called the “Plan of Record” (POR). Year over year, the goal is to improve the POR at a faster rate of change than the MOR changes, so that actual results get  closer to the MOR every year. Intel's seemingly simple MOR/POR data center transformation strategy has created unprecedented business value: a cost savings exceeding USD 2.8 billion (over 9 years) compared to public cloud infrastructure as a service (IaaS).

A primary area of focus in data center industrial engineering is to reduce the cost of  data center facilities. This includes construction costs (measured in $/KW), electricity costs, water costs, and more. Several unique ways are used to reduce construction costs. The  new data centers use recycled water instead of fresh water saving money as well as contributing environment conservation

About Shesha Krishnapura
Shesha Krishnapura is an Intel Fellow and chief technology officer in the Information Technology organization at Intel Corporation. He is responsible for advancing Intel data centers for energy and rack space efficiency, high-performance computing (HPC) for electronic design automation (EDA), and optimized platforms for enterprise computing.
https://itpeernetwork.intel.com/intels-data-center-strategy-leads-to-usd-2-8-billion-in-savings/

About Google Data Centers

Google owns and operates data centers all over the world, helping to keep the internet humming 24/7. Learn how our relentless focus on innovation has made our data centers some of the most high-performing, secure, reliable, and efficient data centers in the world.
See what's new and browse our innovations
https://www.google.com/about/datacenters/

Google: Our data centers use much less energy than the typical data center. How we do it?

https://www.google.com/about/datacenters/efficiency/

Modern Data Center Design and Architecture
January 15, 2020
https://serverlift.com/blog/modern-data-center-design-and-architecture/

Data Center - Product Industrial Engineering

About the basic method:     Product Industrial Engineering for Cost Reduction - L.D. Miles

DATA CENTER CONSTRUCTION AND VALUE ENGINEERING: Value Engineering Keeps Data Center Builds Moving Forward

By Abbot Moffat and Erik Weis | Monday, September 14, 2020

https://www.constructionexec.com/article/value-engineering-keeps-data-center-builds-moving-forward

Value Engineering – How to optimise Data Centre design

By Alan O'Kelly 7th February 2017

https://premium-power.com/value-engineering-how-to-optimise-data-centre-design/

Use Best Practices to Design Data Center Facilities

by MA Bell · 2005 · 

https://www.it.northwestern.edu/bin/docs/DesignBestPractices_127434.pdf

Industrial Engineering in Data Center Design - Facilities and Processes - Case Studies

Intel’s Data Center Industrial Engineering - USD 2.8 Billion in Savings - Productivity and Continuous Cost Reduction Strategy

Shesha Krishnapura | September 25, 2019

Technologies, solutions, and processes are applied to optimally serve Intel’s business through the following metrics: best-in-class quality of service (QoS), lowest unit cost, and resource utilization efficiency.

Continual improvement is done in each of these three metrics. The potential for improvement is first  defined as a “Model of Record” (MOR). This term represents a data center environment with an unconstrained budget ro buy the latest and greatest technology, develop new solutions, and update or develop new processes. In this MOR environment,   the lowest unit cost, best QoS, and maximum utilization are calculated. The MOR improves every year, because technology and processes improve every year. (Industrial engineers to note especially. IEs have to learn about new technologies and developments in existing technologies on a continuous basis.)

But in reality, every IT shop has a limited budget. Within that limited budget only, investments in improvement are done. This real world environment is called the “Plan of Record” (POR). Year over year, the goal is to improve the POR at a faster rate of change than the MOR changes, so that actual results get  closer to the MOR every year. Intel's seemingly simple MOR/POR data center transformation strategy has created unprecedented business value: a cost savings exceeding USD 2.8 billion (over 9 years) compared to public cloud infrastructure as a service (IaaS).

A primary area of focus in data center industrial engineering is to reduce the cost of  data center facilities. This includes construction costs (measured in $/KW), electricity costs, water costs, and more. Several unique ways are used to reduce construction costs. The  new data centers use recycled water instead of fresh water saving money as well as contributing environment conservation

About Shesha Krishnapura
Shesha Krishnapura is an Intel Fellow and chief technology officer in the Information Technology organization at Intel Corporation. He is responsible for advancing Intel data centers for energy and rack space efficiency, high-performance computing (HPC) for electronic design automation (EDA), and optimized platforms for enterprise computing.
https://itpeernetwork.intel.com/intels-data-center-strategy-leads-to-usd-2-8-billion-in-savings/

IE in IT Companies

Intel - Industrial Engineering Activities and Jobs. 

https://nraoiekc.blogspot.com/2020/04/intel-industrial-engineering-activities.html

Data Center Cost - Analysis and Reduction

How Much Does it Cost to Build a Data Center?

By Mary Zhang -November 5, 2023

https://dgtlinfra.com/how-much-does-it-cost-to-build-a-data-center/

Understanding Data Center Costs and How they Compare to the Cloud

Alon Berger

Product Marketing Manager, Intel Granulate

https://granulate.io/blog/understanding-data-center-costs-and-how-they-compare-to-the-cloud/

What Are the Best Data Center Cost Reduction Methods? - Ask The Engineer

Park Place Technologies

2023

https://www.youtube.com/watch?v=whZUAf7iZhU

Data Center Cost Reduction Methods – Ask the Engineer [VIDEO]

Ask the Engineer

Jack Kauter - Head shot

JACK KAUTER Published: May 23, 2023

https://www.parkplacetechnologies.com/blog/data-center-cost-reduction-methods/

Cost, AI, and staffing are biggest concerns for data centers

Aug 06, 2024

Data center operators are grappling with rising costs, the impact of AI on capacity requirements, and persistent staffing shortages, Uptime Institute reports.

https://www.networkworld.com/article/3481493/cost-ai-and-staffing-are-biggest-concerns-for-data-centers.html

Applied Industrial Engineering in New Technologies - Process Steps and Application in Various New Technologies

Updated 8.8.2024,  23.7.2024, 29.3.2023,  22.4.2022,  24 May 2021

Pub 29 July 2020

Information Systems Industrial Engineering - Areas of Focus

Areas of Information Systems Industrial Engineering

• Productivity in Computer Center Operations (1978)
• Minimizing Memory Time and Processing Time through Algorithms Improvement
• Programmer productivity
• Computer-aided Software Engineering Tools
• Software Cost Estimation and Reduction
• Lean Software Development
• Manpower Planning for Software Development
• Human Computer Interaction - Fatigue, Comfort and Health Aspects
• DevOps Automation and Productivity
• Data Center Industrial Engineering - Energy Consumption Reduction
• Internet Processes Productivity Improvement

Is the full capability of the #hardware exploited for value creation? An industrial engineer can evaluate periodically.  #Software engineering component of industrial engineering.

Gartner’s IT Automation Trends for 2022

https://www.advsyscon.com/blog/gartner-it-automation/

By 2024, organizations will lower operational costs by 30% by combining hyperautomation technologies with redesigned operational processes.

By 2024, more than 70% of the large global enterprises will have over 70 concurrent hyperautomation initiatives mandating governance or facing significant instability.

Hyperautomation

What is hyperautomation? - SAP Insights

The term hyperautomation describes a strategy more than a specific technology. The driving force behind it is the idea that business processes work better when they are automated. Automated business processes are faster and more accurate, plus they lend themselves to better tracking and analysis. Essentially, hyperautomation refers to the use of smart technologies like robotic process automation (RPA), low-code/no-code (LCNC) platforms, artificial intelligence (AI), and machine learning to identify and automate as many processes as possible – as quickly as possible.  

 

According to the latest research from Gartner, organizations are “…transitioning from a loosely coupled set of automation technologies to a more-connected automation strategy”. This leads to the kind of streamlined business operations that today’s best companies need to make them more profitable and competitive.

“Hyperautomation has shifted from an option to a condition of survival.”

- Gartner

Process automation vs. hyperautomation

Process automation describes the digitalized automation of process steps and workflows. It could refer to just one process such as onboarding, for example. Hyperautomation, on the other hand, automates multiple processes at the same time. This helps companies unify different operational areas and speeds up automation across the business – which equals hyperautomation. 

https://www.sap.com/insights/what-is-hyperautomation.html

https://www.automationanywhere.com/company/blog/rpa-thought-leadership/how-to-implement-it-process-automation-1

5 IT Cost Saving Strategies for Your Enterprise Infrastructure

Park Place Hardware Maintenance

PARKER Published: December 01, 2020

https://www.parkplacetechnologies.com/blog/5-ways-to-reduce-or-keep-it-infrastructure-costs-under-control/

Assignments of IEPM 2020 Batch - NITIE

• Computer-aided Software Engineering Tools

2002253 PGDIM TRISHA DHAWE IT

Article Triz in CASE Tools sent.

• Lean Software Development

Ms. Krutika Thorat.

Topic Name: Lean Software Development.

Roll No. : 2002248

Batch: PGDIM

Lean Software Development and IT Enabled Services

https://nraoiekc.blogspot.com/2012/04/lean-software-development-and-it.html

Lean software strategies: proven techniques for managers and developers

Peter Middleton, James Sutton

2005

http://books.google.co.in/books?id=h1-P74QXkVkC

Lean software development: an agile toolkit By Mary Poppendieck, Tom Poppendieck

2003

http://books.google.co.in/books?id=hQk4S7asBi4C

• Human Computer Interaction - Fatigue, Comfort and Health Aspects

Roll No -2002244. Tejesh Bhosale

2002265 - Vikas Labh

ILO - Ergonomic aspects of HCI - VDUs
https://www.iloencyclopaedia.org/part-vi-16255/visual-display-units/item/784-ergonomic-aspects-of-human-computer-interaction

Mails sent to both.

• DevOps Automation and Productivity

2003015 PGDISEM DIVYANSHU RAI IT

• Data Center Industrial Engineering - Energy Consumption Reduction

2002250 PGDIM THUMMALA VIJAY SAI REDDY Computer science

Intel’s Data Center Industrial Engineering - USD 2.8 Billion in Savings - Productivity and Continuous Cost Reduction Strategy

Shesha Krishnapura | September 25, 2019

Technologies, solutions, and processes are applied to optimally serve Intel’s business through the following metrics: best-in-class quality of service (QoS), lowest unit cost, and resource utilization efficiency.

Continual improvement is done in each of these three metrics. The potential for improvement is first  defined as a “Model of Record” (MOR). This term represents a data center environment with an unconstrained budget ro buy the latest and greatest technology, develop new solutions, and update or develop new processes. In this MOR environment,   the lowest unit cost, best QoS, and maximum utilization are calculated. The MOR improves every year, because technology and processes improve every year. (Industrial engineers to note especially. IEs have to learn about new technologies and developments in existing technologies on a continuous basis.)

But in reality, every IT shop has a limited budget. Within that limited budget only, investments in improvement are done. This real world environment is called the “Plan of Record” (POR). Year over year, the goal is to improve the POR at a faster rate of change than the MOR changes, so that actual results get  closer to the MOR every year. Intel's seemingly simple MOR/POR data center transformation strategy has created unprecedented business value: a cost savings exceeding USD 2.8 billion (over 9 years) compared to public cloud infrastructure as a service (IaaS).

A primary area of focus in data center industrial engineering is to reduce the cost of  data center facilities. This includes construction costs (measured in $/KW), electricity costs, water costs, and more. Several unique ways are used to reduce construction costs. The  new data centers use recycled water instead of fresh water saving money as well as contributing environment conservation

About Shesha Krishnapura
Shesha Krishnapura is an Intel Fellow and chief technology officer in the Information Technology organization at Intel Corporation. He is responsible for advancing Intel data centers for energy and rack space efficiency, high-performance computing (HPC) for electronic design automation (EDA), and optimized platforms for enterprise computing.
https://itpeernetwork.intel.com/intels-data-center-strategy-leads-to-usd-2-8-billion-in-savings/

Mail sent to Vijay

 2002260 Vedant Saraf

Data Center Energy Efficiency - Productivity

Data Center Energy Efficiency Measurement Assessment Kit

http://datacenters.lbl.gov/sites/all/files/dc_assessmentkit.pdf

Becoming Energy-Efficient Through a Data Center Energy Audit

June 18, 2014, titanpower

Older data centers need to find ways to become more energy efficient, and newer data centers need to implement energy efficient protocols from the outset. The numbers show that proper implementation of energy management can save data centers millions of dollars each year. Data centers need an energy audit. Understanding the standards and steps of this process is important for data center productivity managers.

https://www.titanpower.com/blog/becoming-energy-efficient-through-a-data-center-energy-audit/

• Internet Processes Productivity Improvement

Akash Thakur  IM 2002247




2002249 PGDIM THOTAKOORA SAI MOHITH NAAG IT?



Use Cases in Software Development,  Page 94
https://books.google.co.in/books?id=CUNftEOGLPgC&printsec=frontcover#v=onepage&q&f=false

Ud. 23.7.2023, 7.4.2023, 30.3.2023

Pub. 28.8.2020