DevOps has become something of a buzzword lately but the idea behind it can be truly powerful. Using a combination of technology and best practices to increase collaboration between development and operations teams can accelerate the application development lifecycle while improving software quality and reducing costs.
For many, the development process has become more complex and segregated from operations. Factors such as inefficient communications, manual processes and poor visibility into the deployment process result in production bottlenecks as well as subpar quality throughout the development and delivery cycle.
To address these challenges, organizations have often turned to adhoc and siloed efforts. And so gaps still exist due to lack of integration across people, processes and tools. The reality is that an effective DevOps solution requires an integrated approach of continuous delivery that optimizes and accelerates the application lifecycle in every phase: development, testing, staging and production.
What this means is that changes made in development are continuously built, integrated and tested for function, performance, systems verifications, user acceptance, and then staged, ready for production. And it can all be brought together through an integration framework that can automate the individual tasks across the various stages of the pipeline and continuously deliver changes, providing end-to-end lifecycle management. Continuous automation is necessary in the following key areas:
• Continuous integration provides faster validation and delivery of code changes via automated, repeatable execution of build processes with continuous feedback
• Continuous deployment provides on-demand environment configuration and the ability to continuously deploy code and configuration middleware.
• Continuous testing automates testing in production-like environments.
• Continuous monitoring increases visibility into application performance and provides data to trace and isolate product defects.
With an automated process for moving application changes through progressively richer test environments that mirror the production environment, chances for error and roll back are greatly reduced.
The result is increased visibility into the delivery pipeline, standardized communication between Dev and Ops and more efficient and accurate delivery of software projects. And the delivery process can scale dynamically as business needs grow.
Here’s how IBM is addressing DevOps, with the launch of SmartCloud Continuous Delivery--an agile, scalable and flexible solution for end-to-end lifecycle management that allows organizations to reduce software delivery cycle times and improve quality. SmartCloud Continuous Delivery is also available on Jazz.net.
NoOps to DevOps: Bridging software development gaps with continuous delivery
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