Latest Enhancements to HashiCorp Terraform and Terraform Cloud

Latest Enhancements to HashiCorp Terraform and Terraform Cloud

What is Terraform?

Terraform is HashiCorp’s flagship software. The open source tool provides a way to define IT resources — such as monitoring software or cloud services — in human-readable configuration files. These files, which serve as blueprints, can then be used to automatically provision the systems themselves. Kubernetes deployments, for instance, can be streamlined through Terraform.

"Terraform basically translates what your configuration was codified in by your configuration, and provisions it to that desired end state," explained Meghan Liese, [sponsor_inline_mention slug="hashicorp" ]HashiCorp[/sponsor_inline_mention] vice president of product and partner marketing in this podcast and video recording, recorded at the company's user conference, HashiConf 2022, held this month in Los Angeles.

For this interview, Liese discusses the latest enhancements to Terraform, and Terraform Cloud, a managed service offering that is part of the HashiCorp Cloud Platform.

[Embed Podcast]

Why Should Developers be Interested in Terraform?

Typically, the DevOps teams, or system administrators, use Terraform to provision infrastructure, but there is also growing interest to allow developers to do it themselves, in a self-service fashion, Liese explained. Multicloud skills are in short supply, concluded the 2022 HashiCorp State of Cloud Strategy Survey, so making the provision process easier could help more developers, the company reckons.

A Terraform self-service model, which was introduced earlier this year, could “cut down on the training an organization would need to do to get developers up to speed on using the infrastructure-as-code software,” Liese said.

In this “no code” setup, developers can pick from a catalog of no-code-ready modules, which can be deployed directly to workspaces. No need to learn the HCL configuration language. And the administrators will no longer have to answer the same “how-do-I-do-this-in-HCL?” queries.

The new console interface aims to greatly expand the use of Terraform. The company has been offering self-service options for a while, by way of an architecture that allows for modules to be reused through the private registry for Terraform Cloud and Terraform Enterprise.

What is the Make Code Block and Why is it Important?

The recent release of Terraform 1.3 came with the promise to greatly reduce the amount of code HCL jockeys must manage, through the improvement of the make code block.

Actually, make has been available since Terraform 1.1, but some kinks were worked out for this latest release. What make does is provide the ability to refactor resources within a Terraform configuration file, moving large code blocks off as separate modules, where they can be discovered through a public or private registry.

What is Continuous Validation?

With the known state of a system captured on Terraform, it is a short step to check to ensure that the actual running system is identical to the desired state captured in HCL. Many times “drift” can occur, as administrators, or even the apps themselves, make changes to the system. Especially in regulated environments, such as hospitals, it is essential that a system is in a correct state.

Earlier this year, HashiCorp added Drift Detection to Terraform Cloud to continuously check infrastructure state to detect changes and provide alerts and offer remediation if that option is chosen. Now, another update, Continuous validation expands these checks to include user assertions, or post-conditions, as well.

One post-condition may be something like ensuring that certificates haven’t expired. If they do, the software can offer an alert to the admin to update the certs. Another condition might be to check for new container images, which may have been updated as a response to a security patch.

Denne episoden er hentet fra en åpen RSS-feed og er ikke publisert av Podme. Den kan derfor inneholde annonser.

Episoder(300)

JetBrains is selling independence as the rest of AI coding picks sides

JetBrains is selling independence as the rest of AI coding picks sides

JetBrains is positioning itself as the last major independent AI coding-tool vendor in a market increasingly tied to hyperscalers and foundation model labs. Speaking at Google Cloud Next, JetBrains VP...

21 Mai 26min

Why Block handed Goose to the Linux Foundation

Why Block handed Goose to the Linux Foundation

What began as an internal developer tool atBlockhas evolved into a broader open-source initiative with industry backing. Goose, Block’s AI coding agent, followed a path similar to Amazon’s transformat...

15 Mai 19min

Fivetran's CPO: closed data stacks won't survive the agent era

Fivetran's CPO: closed data stacks won't survive the agent era

At Google Cloud Next 2026, Fivetran Chief Product Officer Anjan Kundavaram argued that enterprise data systems are unprepared for the scale of AI-driven analytics. Unlike humans, AI agents can generat...

13 Mai 22min

The new FinOps problem isn't cloud bills

The new FinOps problem isn't cloud bills

At Google Cloud Next 2026, Finout co-founder and CEO Roi Ravhon and Google Cloud FinOps lead Pathik Sharma discussed how FinOps is rapidly evolving for the AI era. Ravhon argued that while cloud FinOp...

12 Mai 28min

How Microsoft is governing thousands of Kubernetes clusters without manual intervention

How Microsoft is governing thousands of Kubernetes clusters without manual intervention

Managing Kubernetes at fleet scale introduces significant complexity, especially as organizations expand from a few clusters to hundreds or thousands across cloud, on-premises, and edge environments. ...

7 Mai 25min

Why long-running AI agents break on HTTP and how Ably is fixing it

Why long-running AI agents break on HTTP and how Ably is fixing it

In this episode ofThe New Stack Makers, Matthew O’Riordan, CEO of Ably, explains how infrastructure originally built for human collaboration is now well-suited for long-running AI agents. While Ably i...

6 Mai 31min

Why the Linux Foundation adopted MCP, with Jim Zemlin and Mazin Gilbert

Why the Linux Foundation adopted MCP, with Jim Zemlin and Mazin Gilbert

Agentic AI is advancing rapidly, with open-source projects racing to keep pace with real-world deployment. To accelerate progress, the Linux Foundation consolidated key technologies—Model Context Prot...

6 Mai 32min

Fresh data has us asking, does AI demand Kubernetes?

Fresh data has us asking, does AI demand Kubernetes?

Kubernetes is rapidly emerging as the de facto operating system for AI, with two-thirds of organizations using it for generative AI inference and 82% adopting it in production. Its ecosystem — includi...

1 Mai 23min

Populært innen Politikk og nyheter

giver-og-gjengen-vg
aftenpodden
aftenpodden-usa
forklart
popradet
fotballpodden-2
stopp-verden
nokon-ma-ga
rss-espen-lee-usensurert
det-store-bildet
dine-penger-pengeradet
lydartikler-fra-aftenposten
rss-gukild-johaug
hanna-de-heldige
rss-ness
aftenbla-bla
chit-chat-med-helle
rss-dannet-uten-piano
e24-podden
frokostshowet-pa-p5