The DevOps practice of continuous integration and continuous deployment (CI/CD) improves software delivery. CI/CD platforms monitor and automate the application development process ensuring a better application, faster. CI/CD pipelines build code, run tests, and deploy a production-ready version of an application that has passed all automated checks.
People make mistakes, technology breaks down, and processes aren’t infallible. But, when incidents happen, what can we do about it? What can we learn? As with all things, learning isn’t a binary action, it’s a process. And, when an incident occurs, organizations typically conduct a post-mortem analysis and generate a post-incident review to uncover what went wrong and why.
Splunk Observability is incredibly good at details! Many of us use it as a metaphorical microscope through which we observe our software. But how do you observe the long-term trends and usage of that microscope? There are numerous organization-level metrics provided in Splunk Observability that can be used to chart organization-level concerns. These can be leveraged in various ways to understand things like uptake, billing and just how much value Observability is providing.
Managing source code with a defined method is one vital aspect of implementing effective application development. Today, two strategies for doing this stand above the rest: trunk-based development and GitFlow. Choosing the proper method for source code control is often dependent upon several factors, such as: In this article, let’s define and compare trunk-based development and GitFlow, look at the factors that drive an organization’s decision between the two.
