Tasktop

JULY 1, 2021

Software delivery is all about delivering more customer value faster to remain competitive in the digital-first world. Value Stream Management and Flow Metrics: Measure The Whole System. What units of value are flowing across the system . How the system is delivering value to the customer.

Metrics 59

Metrics DevOps Efficiency Software 59

Tasktop

MAY 17, 2021

The OKR software market mirrors that growth; it’s projected to grow by 13.73% CAGR by 2027 to reach $1946.88M. Yet a major challenge facing traditional organizations is aligning the software product delivery with business results. Gene Kim, author of The DevOps Handbook and The Unicorn Project. Building Transformative OKRs.

DevOps 59

DevOps Metrics Innovation Storage 59

The Agile Manager

OCTOBER 31, 2016

As part of my research into method earlier this year, I picked up a 1959 edition of the Scoutmaster's Handbook. The early editions of the Boy Scouts of America's version of the Boy Scout Handbook were mostly written by the same person, William "Green Bar Bill" Hillcourt , and revised over many years. Each troop works out its own way."

Government 40

Government Programming Systems Code 40

Tasktop

JULY 22, 2021

Look no further as we serve up some of our favorite bits from the Mik + One podcast this summer, featuring the very latest insights on how to leverage software and adapt in the digital-first world. Episode 31: Gene Kim, best-selling author of The Phoenix Project and The Unicorn Project, as well as co-author of The DevOps Handbook.

DevOps 52

DevOps Innovation Technology Technology 52

Dynatrace

APRIL 22, 2021

Today, every organization is a software company, driven by demands for better, more connected digital experiences. Who better to offer some clarity than Gene Kim , former founder and CTO of Tripwire and DevOps enthusiast, who has written multiple books on the subject, including The DevOps Handbook and The Phoenix Project ?

DevOps 222

DevOps Innovation Technology Technology 222

Dynatrace

AUGUST 25, 2023

According to the Google Site Reliability Engineering (SRE) handbook, monitoring the four golden signals is crucial in delivering high-performing software solutions. These signals ( latency, traffic, errors, and saturation ) provide a solid means of proactively monitoring operative systems via SLOs and tracking business success.

Performance 178

Performance Latency Traffic Metrics 178

O'Reilly

OCTOBER 11, 2022

meme originated in IT’s transformation from manual system administration to automated configuration management and software deployment. We could see it as an example of 1980s-style “ expert systems ,” based on deterministic business rules. We want systems that implement end-to-end automation, as much as possible.

Games 116

Games Healthcare Processing Retail 116

Smashing Magazine

OCTOBER 19, 2021

Drew: So if say I’m starting a new project, maybe I’m a startup business, creating software as a service product. You wrote the software, so what good is it me sitting over your shoulder and going, “Well, I think that’s safe”? And it’s like, well, they’re solving very different problems than the problems that you have.

DevOps 83

DevOps Metrics Systems Design 83

Smashing Magazine

OCTOBER 26, 2018

However, being an easy-to-use inclusive and versatile piece of software, WordPress comes with a plethora of options that are not necessarily utilized in each and every project. WordPress core developers used a system of hooks which allowed other developers to modify or extend certain functionalities.

Cache 78

Cache Website Speed Database 78

Highly Scalable

MARCH 10, 2015

Most of this article represents an overview of the results published by retailers and researchers who built practical decision making and optimization systems combining abstract economic models with data mining methods. The most typical use cases for this problem are recommender systems, personalized search results ranking, and targeted ads.

Retail 152

Retail C++ Analytics Metrics 152

O'Reilly

OCTOBER 18, 2022

A recently passed law in New York City requires audits for bias in AI-based hiring systems. AI systems fail frequently, and bias is often to blame. These examples of denigration and stereotyping are troubling and harmful, but what happens when the same types of systems are used in more sensitive applications? Data can be wrong.

Artificial Intelligence 116

Artificial Intelligence Government Healthcare Metrics 116