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Alkira Embraces HashiCorp Terraform to Automate Cloud Network Deployment

Fremont, CA: Alkira has initiated an integration with HashiCorp Terraform that promises to bring speed, consistency and automation to the provisioning of cloud networks. The combination of Terraform and Alkira's service allows for the direct integration of enterprise core, edge, and cloud networks into the DevOps infrastructure as a code toolchain.
Customers can interact with the Alkira Cloud Services Exchange® CSX portal and standardize connectivity to any public cloud, SaaS applications, data centers, branches, and users with integrated network and security services by utilizing the new verified Terraform provider for Alkira.
Terraform is an open-source, vendor-agnostic infrastructure-as-code tool that is widely regarded as the industry standard. It employs a declarative approach, allowing the developer to describe the desired end state for infrastructure in a written configuration file. A developer can use the Terraform CLI on their local machine or within a collaborative remote run environment, Terraform Cloud or Terraform Enterprise, to map out changes and then provision infrastructure.
Alkira CSX is the industry's first true cloud network as a service (CNaaS), offering a quick and consistent way to build highly scalable, secure networks within and between public clouds and on-premises environments, with complete end-to-end visibility and management control. CSX also makes it easier to integrate firewalls and other high-level network services.
William Collins, principal cloud architect at Alkira, stated, "The combination of Alkira and Terraform promises to unleash the full power of infrastructure as code to deliver consistent, agile, and reliable networking to meet technical demands and deliver business outcomes."
Enterprises are increasingly turning to infrastructure as code to reduce the time it takes to provision networking resources, rationalize the tools and methodologies used by network teams, and replace antiquated change management methods.
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