This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Software engineering productivity cant be measured. Martin Fowler wrote an article in 2003 titled Cannot Measure Productivity. The old career ladder emphasized understanding advanced technologies and building complex systems. This is a big cultural shift! To recap, our career ladder is a tool for cultural change.
The official definition of DevOps is “a software engineeringculture and practice, that aims at unifying software development and software operation.” The concept of Site Reliability Engineer (SRE) has been around since 2003, making it even older than DevOps. So why did Google need to create its own definition?
A QA engineer usually collaborates with a product manager to make sure all the quality standards are met throughout the product life cycle. QAs usually develop and execute test plans, review project deliverables, and, as a result, provide comprehensive feedback on quality issues to the rest of team members.
The goal was to simulate a loss of a system so that they could build this adaptive environment, so that they didn’t really have to worry about resiliency as much. This is near and dear to us and so we want to make sure that we’re building resilient systems. Then finally, we’re looking at the distributed systems.
I then make a sustained argument from the Linux experience for the proposition that “Given enough eyeballs, all bugs are shallow”, suggest productive analogies with other self-correcting systems of selfish agents, and conclude with some exploration of the implications of this insight for the future of software.
We organize all of the trending information in your field so you don't have to. Join 49,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content