Leading the Digital Business Culture
Engaging Citizens through Technology
Forging Ahead with DevOps
Agile Isn't Just for Dev Anymore: Five Steps to Achieve IT Ops Agility
DevOps Changes Everything: From Your Body to the Government
Kurt Collins, Director of Technology Evangelism and Partnerships, Built.io
Diving into the Depths of DevOps
Pauly Comtois, VP DevOps, Hearst Business Media
Measuring DevOps - Where are you on the cheat scale?
Peter Waterhouse, Senior Strategist, CA Technologies
Taming the Cultural Transformation Beast during DevOps Evolution
Amit Gupta, Associate VP-Delivery, Ness Digital Engineering
Coping with Hidden Dependencies for Reliable Software
As software applications continue to increase in size and complexity of performing operations, they also become more interdependent. Multiple internal components often share data. The dependencies may or may not be intentional, but the mismanagement faces challenges in testing. Program dependency analysis plays a prominent role in program comprehension, change propagation, or impact analysis. Software developers need to identify those dependencies and make changes accordingly ensuring that the software is again consistent. In software, a dependency is when one module in an application A depends on another module B. A hidden dependency occurs when A depends on B in a way that is not regular. To identify hidden dependencies, the entire code has to be validated.
When it comes to planning in an enterprise, the organizations being aware of hidden dependencies will help them to implement an approach that drives efficient values in execution. Teams that use multiple agile platforms do not have the competence to work with other teams easily, which results in them taking time for deployment. The development team must ensure that they develop dependence at an extremely transparent level. The team should have a scrum master that manages how information is exchanged and stops the process when dependencies or risks are found. Organizations should try and execute multiple sessions for one product to increase their productivity. By executing them at the same time or in sequence at different locations, there is a chance of overlapping, duplication of work, and even increase dependencies. Organizations should try to identify the dependencies by adding separate time to their estimations as a buffer but not with the regular executions of the product. In organizations with complex infrastructure, development teams wish to depend on each other in deploying product where one can start their work only after the previous one finishes. As the organizations want their products to scale agile, they should validate the structure to ensure it is optimized which reduces risks and dependencies.
Organizations can manage dependencies and risks if they plan subsequently. A useful technique is to create a roadmap for releases where the developers constantly update every session, which helps in evaluating dependencies. Another technique is the visualization of dependencies that save time while incorporating the right details at the right time into the product.