Operations | Monitoring | ITSM | DevOps | Cloud

Traditionally, software used to be developed by software engineers who would spend time coding and testing to make sure the software was behaving the way it should. Once they were satisfied with their product, the operations teams would join hands and start rolling out the software. This follows a very linear path along the software development life cycle that is often quite time-consuming.

This blog is the third in a four-part series on infrastructure automation for government agencies that are modernizing digital systems while grappling with budget and staffing constraints and the challenges of COVID-19. The COVID-19 pandemic moved up the timeline for digital transformation projects considerably.

Secrets management plays a critical role in keeping your pipelines and applications secure. While secrets management tools help, you need to implement best practices and processes to successfully manage secrets in a DevOps environment. Standardizing, automating and integrating these processes also helps secure secrets by reducing the chance of human error.

It’s a common story: the product team gets early success and grows into a large monolithic code base. While everything is in a single code base, features can be added quickly. This is partly due to the ability to leverage shared code across each feature in the codebase. When your team is adding a new feature, a developer can leverage the existing codebase for needs such as logging or special error handling.