DevOps, a method of interfacing Development and Operations in a dynamic fashion, can help you put the flexibility of cloud-style resources to work in real time. If you’ve been through an agile process transformation, you have valuable experience in addressing DevOps in your organization, and changes in tools and culture, and met or unmet promises should sound quite familiar.
Just as the adoption of agile methodology can make a Development team much more responsive, DevOps revolutionizes implementation of IT objectives end-to-end, from a waterfall-style process gating company productivity to a dynamic process, where delivering changes rapidly for applications so that businesses can be nimble.
DevOps provides a way to address the question, “If we can provision resources quickly and easily, how can we complete entire projects with similar responsiveness?”
Staying sane and accountable doesn’t have to bog down processes, as DevOps breaks down the wall between development and operations. Structured communication still takes place, but in an iterative, incremental fashion much like polishing a jewel. Instead of lofty goals set in the somewhat-distant future, practical solutions can be created, deployed, and adjusted. The process gets applications in the hands of end users far sooner, smooths any rough edges using actual user feedback, and helps organizations not only become more responsive to changing needs but also make much more efficient use of valuable software development and operations resources.
Dev and Ops Teams Want to Play Together
Culturally, this degree of change can be difficult to swallow. However, both Dev and Ops have some “pain points” that help motivate them to work together more dynamically:
- Dev wants to deliver more timely solutions.
- Dev wants to ensure greater acceptance of new applications.
- Dev wants to use its resources more efficiently.
- Ops is challenged by hardware resource planning.
- Ops has maintenance and cost-reduction projects that are delayed.
- Ops has insights into new features, efficiencies, and integration with no way to get them implemented.
Creating a new flow between the two teams helps to reduce these pain points and others that arise when traditional, waterfall-style processes constrain communication and implementation.
DevOps is not tied to any particular technology.
It’s a set of philosophies aimed at making software development efficient. Containerization brings the gap between Dev and IT Ops to a minimum. Containers are a great tool for enabling DevOps workflows and simplifying the pipeline. Containers hold the code and dependencies required to run an application and reside in isolation. This enables teams to develop, test, and deploy apps inside these closed environments. And this doesn’t affect different parts of the delivery, making the lives of both testers and developers a lot easier.
The rise of the CI/CD Pipeline
DevOps has paved a way for automating processes between the Dev and Ops teams to build, test, and code faster and more reliably. Now, CI/CD isn’t so much a novel concept as it is a growing trend in the space after having first emerged in the Gartner Hype Cycle in 2015. Tools like Jenkins have done much to define what a CI/CD pipeline should look like. While DevOps is a cultural change in the organization, CI/CD is the core engine that drives the success of DevOps.
CI is a DevOps pipeline that requires teams to implement smaller changes more frequently but checks the code with version control repositories. Therefore, there is a lot more consistency in the building, packing, and testing of apps, leading to better collaboration and software quality. CD begins at the tail of CI. Since teams work on several environments (prod, dev, test, etc), the role of CD is to automate code deployment to these environments and execute service calls to databases and servers.
CI/CD has been referenced in Agile Manifesto, which was created back in 2001, but only now do we have the right tools coming into mainstream use to fully reap the benefits of CI/CD. Containers make it extremely easy to implement a CI/CD pipeline and enable a much more collaborative culture. Containers are very lightweight and flexible and can scale endlessly and run on any environment.
It doesn’t get easier than this.
Instead of moving code among various VMs in different environments, you can move the same code across containers or container clusters, as is the case with Kubernetes. VMs are static and have a monolithic application architecture, whereas containers work on a distributed microservices model. This opens up doors to new benefits when it comes to elasticity, high availability, and resource utilization.
From virtualization and cloud adoption to new toolsets and methodologies, such as containerization and microservice architecture, development teams can put the new resources to use, taking advantage of technologies such as containers and Kubernetes to architect solutions. Ops team in close collaboration with Dev teams can run with the solution, scale it, distribute it, and upgrade it efficiently without delay.
Data storage is a key component to support a dynamic DevOps environment and provide failover, disaster recovery, and other essential availability and reliability features. Software-defined storage (SDS) provides the flexibility to match an evolving DevOps environment, and Reduxio is a cloud-native platform for edge, private, public, hybrid, and multi-cloud deployments, with global data reduction, advanced data mobility, active tiering, integrated data protection, and instant recovery.
Reduxio offers the first microservices–based storage architecture, which allows unparalleled scalability, deployment flexibility, independent scaling of applications, system performance, and capacity to ensure optimal efficiency for your infrastructure.