Filling the Data Gap in DevOps with Database Continuous Delivery

Datical Blog
      Going no where fast. While many IT teams have been successful in automating many of the manual processes in modern software development, the same has not held true for the data underpinning the system. Provisioning, versioning, and aligning data to database code is still a largely a manual process today that adds […]

Read More

5 Reasons to Create the Continuous Delivery Database

Datical Blog
    “Continuous Delivery is the ability to get changes of all types—including new features, configuration changes, bug fixes and experiments—into production, or into the hands of users, safely and quickly in a sustainable way.” – continousdelivery.com Too often I hear: “We are doing Continuous Delivery.” When I ask how they provide the Continuous Delivery […]

Read More

Database Source Control vs. Database Release Automation

Datical Blog
  ”I don’t need a build server; I have source code control,” said no sane person ever. Source control is your single source of the truth. Using a continuous build server with source code control is the first step in Agile Development, Continuous Integration, and Continuous Delivery. When a build is performed, source code is […]

Read More

6 Reasons to Get Started with Database Release Automation

Datical Blog
All of us working with Agile Software Development and DevOps owe a huge debt of gratitude to Toyota Motor Corporation. Agile Manufacturing’s focus on tools, processes, and training to quickly respond to customer needs was what led directly to the Agile Manifesto. The same can be said about DevOps’ development from Agile Manufacturing and the […]

Read More

Another Perspective on Implementing Database Continuous Delivery

Datical Blog
Last month, Gartner released a Technical Professional Advice report titled “Implement Agile Database Development to Support Your Continuous Delivery Initiative.” The report provides advice for those struggling with a cadence mismatch between the rate at which applications are released and the rate at which necessary database changes are made. However, it simply falls short as […]

Read More

Making Database Changes a Tier One Artifact

Datical Blog
Economic reality and technology are shortening business cycles. What this means for companies, new and established, is that the windows of opportunity for capitalizing on market trends are shrinking every year. The solution is to get applications out faster and better. Facebook’s mobile application’s two week release cycle has set the pace for other companies. […]

Read More

New Research Data: The Biggest Delays to Digital Transformation Initiatives

Datical Blog
Datical and CIO Magazine have released some research on what are the biggest delays Digital Transformation Initiatives. After looking over the report and underlying raw data, I’ve seen a few things have surprised me, flat out proved me wrong, and confirmed my suspicions.   Surprise! One way to describe the relationship between Development and Database […]

Read More

Database Branching and Merging in a Git World

Datical Blog
Git has radically changed our perspective on continuous delivery, branching and merging, ondistributed development, and on the value of treating everything as code. Git users are able to rapidly branch and merge code to support non-linear development. With local repositories, Git supports widely distributed development teams that are no longer dependent on network resources. Our […]

Read More

Seeing is believing.