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- AI Converged Infrastructures
Data Pipelines, Data Lakes and Management
- NetApp AI Control Plane
- Distributed training in Azure - Click-Through Rate Prediction
- Conversational AI using NVIDIA
- Anthos with NetApp
DevOps with NetApp Astra
Red Hat OpenShift with NetApp
- NetApp Storage Integrations Overview
Solution Validation and Use Cases
- Red Hat OpenShift Virtualization with NetApp ONTAP
- VMware Tanzu with NetApp
- Data Migration and Data Protection
- Oracle Database
- Modern Data Analytics
NetApp Hybrid Multicloud with VMware
- VMware for Public Cloud
- NetApp for GCP / GCVE
- NetApp Hybrid Multicloud with Red Hat OpenShift
- VMware Virtualization for ONTAP
- Virtual Desktops
- Artificial Intelligence
Over the past several years, organizations that build software have been embracing the concepts of DevOps. DevOps practices break down organizational barriers, bringing development and operations teams closer together. DevOps practices also empower the teams to accelerate delivery, increase availability, and make services and applications more stable, thus improving the team’s productivity. In addition, adoption of an automation framework is also a key ingredient of success — from building, testing, and operating applications at scale or managing a fully automated infrastructure platform or stack. Below we discuss some primary use cases for DevOps where NetApp solutions can be implemented to help enhance the experiences that DevOps practitioners encounter during their daily practice.
DevOps use cases
Although DevOps does not have a single, universally accepted definition, solutions for DevOps practioners typically contain similar constructs or ideologies that enable easy implementation, repetition, and management at scale. The following sections describe potential use cases for DevOps workflows enabled by NetApp solutions.
Continuous Integration, Continuous Delivery, and Continuous Deployment (CI/CD)
Continuous Integration, Continuous Delivery, and Continuous Deployment (CI/CD) is a coding philosophy that encourages developers to implement and transform their coding practices by establishing a method by which they can consistently update, test, and deploy their code in an automated fashion. The most popular method by which CI/CD is implemented in most DevOps workflows is that of the CI/CD pipeline, and there are several third-party software applications that can help achieve this.
See the following examples of popular applications that can help with CI/CD-type workflows:
Some of the use cases included later in this technical report have been demonstrated in Jenkins, but the primary CI/CD principles can be applied to whatever tool an organization has implemented in their own practices.
Infrastructure as code
Infrastructure as code helps provision and manage IT resources through automated commands, APIs, and software development kits (SDK). This concept greatly enhance the DevOps experience by removing physical data center or resource limitations that could prevent developers from meeting their objectives.
End users often use programming languages such as Python or automation tools such as Ansible or Puppet to create automated and repeatable infrastructure scaling actions that can be called by developers when needed.
Both NetApp ONTAP and Astra Control contain public facing APIs and ansible modules or software development toolkits that make automating operations very easy to adopt and integrate into DevOps processes.