DevOps leaders deliver software 200 times more frequently than their peers, study shows

While it seems everyone is looking to instill DevOps within their software delivery cycles these days, those that are leading the way are seeing exponentially higher performance than their peers.

img-0834.jpg
Photo: HubSpot

That’s the word from a survey released by DevOps Research and Assessment (DORA) and Google Cloud, which identified 20 percent of enterprises that could be considered “elite performers” with DevOps, to the point where it is delivering impressive, and tangible, results. The report, authored by a team led by Dr. Nicole Forsgren, represents six years of research and data from over 31,000 professionals worldwide.  

Forsgren’s team finds these elite performers have 208 times more frequent software deployments, the study shows. The elite group routinely deploys on-demand and performs multiple deployments on a daily basis. By comparison, low performers reported deploying between only once a month at best. The range of software deployments went from 1,460 deploys per year (calculated as four deploys per day x 365 days) for the highest performers to seven deploys per year for low performers (average of 12 deploys and two deploys). 

“It’s worth noting that four deploys per day is a conservative estimate when comparing against companies such as CapitalOne that report deploying up to 50 times per day for a product, or companies such as Amazon, Google, and Netflix that deploy thousands of times per day, aggregated over the hundreds of services that comprise their production environments,” Forsgren’s team adds.

Elite performers report change lead times 106 times faster than low-end performers. The elites show lead times of less than one day — with change lead time measured as the time from code committed to having that code successfully deployed in production. In contrast, low performers required lead times between one month and six months, the study shows. 

Smaller organizations seem to be leading the pace of DevOps. For the first time, we found evidence that larger organizations (those with more than 5,000 employees) are lower performers than those with fewer than 5,000 employees. “Heavyweight process and controls, as well as tightly coupled architectures, are some of the reasons that result in slower speed and the associated instability,” the DORA/Google team states. 

The researchers outline how elite DevOps enterprises differ from lower achievers, and offer guidance on how to join this elite group. “Start with foundations: Basic automation (such as version control and automated testing), monitoring, clear change approval processes, and a healthy culture. Then identify your constraints to plan your path forward. This strategy works for those just beginning transformations as well as those who have been  optimizing for years. Focus resources on what is currently holding you back, then iterate: Identify constraints and choose the next target.” 

In addition, elite DevOps sites emphasize autonomy with their teams. “Empowered teams who make their own decisions about tools and implementations contribute to better software delivery performance,” the researchers find. “In this year’s research, we see that given the opportunity, high performers choose useful and usable tools, and these kinds of tools improve productivity.”

Cloud also plays a role in DevOps success. The highest performing DevOps teams were 24 times more likely than low performers to execute on the full capabilities of cloud. Elite performers also”In our survey, 80 percent of respondents said the primary application or service they supported was hosted on some kind of cloud platform. Using the NIST framework, we investigated the impact of essential practices on software delivery performance and, for the second year in a row, found that what really matters is how teams implement their cloud services, not just that they are using a cloud technology. 

About the author

E-Crypto News was developed to assist all cryptocurrency investors in developing profitable cryptocurrency portfolios through the provision of timely and much-needed information. Investments in cryptocurrency require a level of detail, sensitivity, and accuracy that isn’t required in any other market and as such, we’ve developed our databases to help fill in information gaps.

Related Posts

E-Crypto News Executive Interviews

Automated trading with HaasBot Crypto Trading Bots

Crypto Scams

Millions in Cryptocurrency Stolen by Scammers in the Last Month According to Tenable Research
November 24, 2021
Behind The Scenes: How this Crypto Community Responded to + $50m Hack
October 18, 2021
Crypto Scams
Crypto Scams Still Persistent In 2021, SEC Warns About Red Flags To Watch
September 9, 2021
Poly Network
Here’s How Hackers Stole Over $600 million in the Poly Network Attack
August 12, 2021
The World’s Most Infamous Crypto Hacks and Scams
July 31, 2021

Blockchain/Cryptocurrency Questions and Answers

GamStop
How Does Bitcoin Casino Work + 2021 Beginner’s Guide
November 8, 2021
Cryptocurrency
How to Buy and Sell Cryptocurrency
November 8, 2021
What Are Bitcoin Futures And How Will They Work In 2022?
November 4, 2021
Ethereum
The Unconventional Guide to Ethereum
October 28, 2021
ICo Presale
The Science Behind ICO Presales…
October 14, 2021


CryptoCurrencyUSDChange 1hChange 24hChange 7d
Bitcoin35,825 0.51 % 8.75 % 16.92 %
Ethereum2,493.7 0.31 % 13.93 % 24.71 %
Tether1.000 0.73 % 0.18 % 0.27 %
Binance Coin354.86 0.13 % 17.84 % 27.59 %
USD Coin1.000 0.17 % 0.00 % 0.07 %
Cardano1.050 0.19 % 15.59 % 18.77 %
Solana102.53 1.40 % 18.55 % 29.92 %
XRP0.6100 0.20 % 12.39 % 21.19 %
Terra57.86 1.05 % 26.72 % 29.12 %
Polkadot17.78 1.31 % 21.41 % 35.92 %

bitcoin
Bitcoin (BTC) $ 35,746.00
ethereum
Ethereum (ETH) $ 2,495.06
tether
Tether (USDT) $ 1.01
binance-coin
Binance Coin (BNB) $ 356.00
usd-coin
USD Coin (USDC) $ 1.00
cardano
Cardano (ADA) $ 1.05
solana
Solana (SOL) $ 102.62
xrp
XRP (XRP) $ 0.609727
terra-luna
Terra (LUNA) $ 57.40
polkadot
Polkadot (DOT) $ 17.82