Confluent, Inc. (NASDAQ: CFLT), the data streaming platform to set data in motion, today announced the Confluent Terraform Provider as part of its Q3 ‘22 Launch. Developed in partnership with HashiCorp, a leading provider of multi-cloud infrastructure automation software, the Terraform provider exposes Confluent Cloud APIs for simple, consistent, and automated management of mission-critical data streaming resources, including cloud environments, Apache Kafka® clusters, networks, topics, connectors, and more. Now, engineering teams can easily integrate data streaming within CI/CD workflows and GitOps processes on AWS, Microsoft Azure, and Google Cloud, enabling them to launch real-time applications faster and avoid the high operational costs and risks tied to manual resource provisioning.
“The need to stay ahead of customer demands is fueling the shift to technology stacks powered by data streams and cloud technologies,” said Ganesh Srinivasan, Chief Product Officer, Confluent. “With our HashiCorp Terraform integration, organisations get the power of data streaming across all major cloud providers with the simplicity of infrastructure as code and automation. This means developers have safe, reliable access to the infrastructure resources they need, so they can focus on building applications that truly move the needle for their businesses.”
Data streaming is increasingly essential to deliver the real-time experiences today’s customers demand and data-driven operations businesses need. But developers building and launching data streaming applications with open-source Apache Kafka are often blocked, waiting for access to infrastructure resources. Those requests are usually handled by a small team of experts who support the entire business and a highly complex tech stack. These teams can easily get bogged down in time-consuming, manual processes for managing infrastructure, which quickly puts new developments behind schedule. Manual provisioning also introduces high levels of risk, which is unacceptable when data streaming is powering a business’s most sensitive, mission-critical use cases. Integration with a proven tool like Terraform can save time, speed up new releases and add even more security.
“Helping our customers save time and money with smart, real-time inventory management solutions is dependent upon widespread use of real-time data streaming throughout our entire business,” said Rolando Berrios, Director of Engineering, Okedo. “With Confluent’s Terraform Provider, we’re able to completely automate our infrastructure deployments as code with no sacrifice on quality or security. With consistent, version-controlled deployments managed through a tool our teams already know, we’re able to move quickly and maintain focus on new, value-add projects.”
The Confluent Terraform Provider gives engineering teams easy access to the full set of data streaming resources they need, ranging from Kafka clusters and private networks to service accounts and ACLs. With provisioning and management of data streaming infrastructure automated throughout all clouds, the benefits of real-time data can scale across the entire business to fuel faster innovation from a wider set of teams. With the new Terraform provider, teams can:
- Reduce complexity and risk with infrastructure deployments managed as code and deployed through automated GitOps integration.
- Increase developer autonomy and productivity with consistent, version-controlled access to data streaming environments, Kafka clusters, Kafka topics, and more.
- Integrate Confluent deployments within existing cloud workflows on AWS, Azure, and Google Cloud using standardised resource management tooling, pipelines, and processes.
“The new, verified Terraform provider for Confluent makes provisioning critical data streaming resources simple and reliable,” said Burzin Patel, VP, Global Partner Alliances, HashiCorp. “It automates deployments within existing CI/CD workflows across all major cloud services so organisations can easily access the real-time data they need for innovation with far less time focused on infrastructure management.”