Microservices addresses the challenges of deploying bulky monolithic systems and their complexities due to their abundance of moving parts. While some view microservices as a much-improved service-oriented architecture, there are significant differences in strategy necessary for efficient DevOps.
There’s been a meteoric adoption of DevOps, requiring attention to higher quality processes throughout the SDLC and deployment. Our authors in this issue of Better Software magazine see development teams attempting to deliver on this new program of continuous integration and rapid deployment.
Many folks are embracing DevOps best practices. But there is also a dark side in the way that some teams are using terms like continuous integration, delivery, and deployment in vague and confusing ways. Using terminology in a clear and consistent manner is essential when implementing DevOps.
Seems like everyone is talking about DevOps these days. Where can you go to learn more about how it affects you and your organization? Join us at DevOps Conference West to find out how to implement DevOps from some of the industry pros who have been part of the movement from its inception.
DevOps is evolving, and as teams adopt it, they will need increased continuous quality along with continuous delivery. The DevOps quality management office is a a set of processes, tools, and competencies to drive testing efficiencies in DevOps initiatives, which will accelerate quality delivery.
DevOps provides strategies to automate and streamline your application build, package, and deployment. Excellent tools and technology are imperative, but even more essential is leading your team to work together effectively. Read on to learn what makes a high-performance, cross-functional team.
There is a saying that a chain is only as strong as its weakest link. DevOps helps establish a pipeline to automate application and systems software deployments. DevOps also has an amazing way of very quickly discovering exactly which link in the deployment chain needs to be fixed or replaced.
The topic of IT–business alignment is a subject that has been discussed, debated, theorized, and proceduralized for decades. Why is it still a topic at all? Well, mainly because of differing beliefs about IT’s job function. How do you define the relationship between IT and the overall organization?
In our drive for better quality and productivity, we are coming close to realizing full continuous application lifecycle management. Continuous testing is emerging as a best practice that focuses on developing testing procedures, primarily automated, to meet the need for fast application testing.
We are living in a world where digital data is booming. Architectures and technologies also have been rapidly evolving to keep up with the exponential growth of data by creating a new big data species. This story walks through prospective technologies that have already proven their effectiveness.