Welcome!

@DevOpsSummit Authors: Elizabeth White, Liz McMillan, David Linthicum, Zakia Bouachraoui, Yeshim Deniz

Related Topics: @DevOpsSummit

@DevOpsSummit: Blog Post

Keys to Production Readiness By @Papa_Fire | @DevOpsSummit [#DevOps]

With a bit of wizardry from Chef, anyone can create a pretty reliable replica of the production environment on demand

Data Quantity, Quality & Frequency: Keys to Production Readiness

Despite the fact that majority of developers firmly believe that "it worked on my laptop" is a poor excuse for production failures, most don't truly understand why it is virtually impossible to make your development environment representative of production.

When asked, the primary reason for the production/development difference everyone mentions is technology stack spec/configuration differences. While it's true, thanks to the black magic of Cloud (capitalization intended) with a bit of wizardry from Chef, anyone can create a pretty reliable replica of the production environment on demand. The actual main issue with reliable production mirroring is complex, but can be described in one word - data.

Quantity of Data
Most of the time developers don't have the full dataset to work with in their development environment. For example, testing an application against a 10 row table vs a 10,000,000 one will likely produce significantly different results. As a most basic example, N+1 problem will not be noticeable on the former, but will bring your production to its knees with the latter. Even if a developer decides to be diligent and attempt to re-create the full production data store into a personal development environment, the data will be out of sync as soon as the import is finished. With developer's luck, in accordance with Murphy's Law, it's the 10,000,001st record that will be the straw that breaks the back of your application in production.

Quality of Data
Every user is ... special. Production data helps to find edge cases that would not have been thought about even in the wildest developer [dream/nightmare]. If you're testing a form with a name field, chances are you'll test with "test test" or your own name. Same chances would suggest that your name is not "Geschwindigkeitsüberschreitung Füße." Make your peace with this one. You can never reproduce every production data scenario in your development environment. Ever. No matter how many data validators you write or how many test suites you create, you will not think about accounting for Wolfe+585, Sr. in the said name field.

Frequency of Data
This part actually reinforces the two points above - scale and predictability. Test results by a single developer, in an isolated development environment, will not provide an adequate representation of the same functionality with 10,000 concurrent connections. Similarly, even if you devise a load testing suite to test for predictable traffic patterns, you cannot account for the unknown. As a very real example, a hacker's brute force attack on your password protected admin section can, in best case scenario, lock up authentication for all your users. Worst case - your production is back on its knees.

And because (for all the reasons) development will never truly represent production, identifying and troubleshooting issues in production becomes critical for companies. But in order to do that, developers need to have access to said production (if you care about time-to-solution). Give it to them. The practice of instilling the culture that shares the responsibility for production readiness between operations and development teams has gone a long way over the past few years, whether you call it DevOps or not. Use that knowledge and experience to your advantage.

More Stories By Leon Fayer

Leon Fayer is Vice President at OmniTI, a provider of web infrastructures and applications for companies that require scalable, high performance, mission critical solutions. He possesses a proven background of both web application development and production deployment for complex systems and in his current role advises clients about critical aspects of project strategies and plans to help ensure project success. Leon can be contacted at [email protected]

Comments (0)

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.


@DevOpsSummit Stories
CloudEXPO | DevOpsSUMMIT | DXWorldEXPO Silicon Valley 2019 will cover all of these tools, with the most comprehensive program and with 222 rockstar speakers throughout our industry presenting 22 Keynotes and General Sessions, 250 Breakout Sessions along 10 Tracks, as well as our signature Power Panels. Our Expo Floor will bring together the leading global 200 companies throughout the world of Cloud Computing, DevOps, IoT, Smart Cities, FinTech, Digital Transformation, and all they entail. As your enterprise creates a vision and strategy that enables you to create your own unique, long-term success, learning about all the technologies involved is essential. Companies today not only form multi-cloud and hybrid cloud architectures, but create them with built-in cognitive capabilities.
In today's always-on world, customer expectations have changed. Competitive differentiation is delivered through rapid software innovations, the ability to respond to issues quickly and by releasing high-quality code with minimal interruptions. DevOps isn't some far off goal; it's methodologies and practices are a response to this demand. The demand to go faster. The demand for more uptime. The demand to innovate. In this keynote, we will cover the Nutanix Developer Stack. Built from the foundation of software-defined infrastructure, Nutanix has rapidly expanded into full application lifecycle management across any infrastructure or cloud .Join us as we delve into how the Nutanix Developer Stack makes it easy to build hybrid cloud applications by weaving DBaaS, micro segmentation, event driven lifecycle operations, and both financial and cloud governance together into a single unified st...
For far too long technology teams have lived in siloes. Not only physical siloes, but cultural siloes pushed by competing objectives. This includes informational siloes where business users require one set of data and tech teams require different data. DevOps intends to bridge these gaps to make tech driven operations more aligned and efficient.
Daniel Jones is CTO of EngineerBetter, helping enterprises deliver value faster. Previously he was an IT consultant, indie video games developer, head of web development in the finance sector, and an award-winning martial artist. Continuous Delivery makes it possible to exploit findings of cognitive psychology and neuroscience to increase the productivity and happiness of our teams.
Hackers took three days to identify and exploit a known vulnerability in Equifax’s web applications. I will share new data that reveals why three days (at most) is the new normal for DevSecOps teams to move new business /security requirements from design into production. This session aims to enlighten DevOps teams, security and development professionals by sharing results from the 4th annual State of the Software Supply Chain Report -- a blend of public and proprietary data with expert research and analysis.Attendees can join this session to better understand how DevSecOps teams are applying lessons from W. Edwards Deming (circa 1982), Malcolm Goldrath (circa 1984) and Gene Kim (circa 2013) to improve their ability to respond to new business requirements and cyber risks.