In the final post in this series about bringing DevOps patterns to database
change management, we’re going to discuss the Third Way. Here’s a
refresher on the Third Way from the introductory post in this series:
The Third Way: Culture of Continual Experimentation & Learning – This way
emphasizes the benefits that can be realized through embracing
experimentation, risk-taking, and learning from failure. By adopting this
kind of attitude, experimentation and risk-taking lead to innovation and
improvement while embracing failure allows the organization to produce more
resilient products and sharpen skills that allow teams to recover more
quickly from unexpected failure when it does occur.
The Third Way is by far the most intriguing of the “The Ways” to me.
I’ve spent the lion’s share of my career in early stage start-ups where
cycles of experimentation, learning, a... (more)
In the third post in this series, I’d like to talk about the Second Way of
DevOps: Amplifying Feedback Loops. Here’s a refresher on The Second Way
from my introductory post in this series:
The Second Way: Amplify Feedback Loops – This Way deals primarily with
facilitating easier and faster communication between all individuals in a
DevOps organization. The goals of this step are to foster better
understanding of all internal and external customers in the process and to
develop an accessible body of knowledge to replace the dependence on
expertise scattered across individuals.
In my first post in this series, I discussed the underpinning principles of
all DevOps patterns as eloquently stated by Gene Kim, author of "The Phoenix
Project." In this post I'd like to dig a little deeper into The First
Way. As a refresher:
The First Way: Systems Thinking - This Way stresses the performance of the
entire system of value delivery. Instead of becoming laser focused on the
part of the process for which an individual or team is responsible, the
individual or team works to understand the entire process from requirements
generation to customer delivery. The goa... (more)
Recently, the Agile Austin DevOps SIG invited Datical to talk about the
impact of DevOps practices on database change management. This was a great
opportunity for us to talk to folks about our approach to managing
application schema change in IT organizations that have moved or are moving
to more responsive and agile planning, development, and delivery processes.
It was a lively discussion with some great feedback from the audience.
In framing the discussion, I relied heavily on "The Three Ways" of DevOps.
The Three Ways are the principles that underpin the DevOps patterns that... (more)
New research from Simon Management Group reveals that despite the high
percentage of companies who use DBA tools, a majority of companies still
struggle with database change and configuration management issues that impede
the first-time success rate of business-critical application deployments.
Commissioned by Datical, Inc., the study examines the views of application
development and deployment professionals in large organizations with $100
million or greater in IT department spending. The companies surveyed have
similar characteristics including a large number of applications in ... (more)