Skip to main content

HashiCorp Updates Terraform Tool for Azure Cloud

Terraform

TerraformHashiCorp today announced it has updated the instance of Terraform it created to automate the configuration of virtual machines on the Microsoft Azure cloud to give IT teams more granular control. Version 2.0. of Terraform (TF) AzureRM Provider will allow IT teams to separately configure virtual machines by type for instance of both Windows and […]

The post HashiCorp Updates Terraform Tool for Azure Cloud appeared first on DevOps.com.



from DevOps.com https://ift.tt/32oA5YH
Labels:

Comments

  1. UnknownFebruary 25, 2020 at 6:48 AM

    If you're attempting to lose kilograms then you have to try this totally brand new custom keto meal plan diet.

    To create this service, licenced nutritionists, fitness couches, and chefs joined together to develop keto meal plans that are productive, painless, money-efficient, and delicious.

    Since their first launch in January 2019, 1000's of clients have already remodeled their body and well-being with the benefits a certified keto meal plan diet can provide.

    Speaking of benefits: clicking this link, you'll discover eight scientifically-tested ones offered by the keto meal plan diet.

    ReplyDelete

Post a Comment

Popular posts from this blog

Cursor’s New SDK Turns AI Coding Agents Into Deployable Infrastructure

For most of its life, Cursor has been an IDE. A very good one. But with the public beta of the Cursor SDK, the company is making a different kind of move — one that should get the attention of DevOps teams. The Cursor SDK is a TypeScript library that gives engineers programmatic access to the same runtime, models, and agent harness that power Cursor’s desktop app, CLI, and web interface. In short, the agents that used to live inside an editor can now be invoked from anywhere in your stack. That’s a meaningful shift in how AI coding tools fit into software delivery pipelines. From the Editor to the Pipeline If you’ve used Cursor before, the workflow is familiar — you interact with an agent in real time, asking it to write functions, fix bugs, or review code. The SDK breaks that dependency on interactive use. Now you can call those same agents programmatically, from a CI/CD trigger, a backend service, or embedded inside another tool. Getting started is a single inst...
Post a Comment
Read more

Mistral Moves Coding Agents to the Cloud — and Gets Out of Your Way

For the past year or so, AI coding agents have been tethered to your local machine. You kick off a task, watch the terminal, and babysit every step. It works — but it’s not exactly hands-free. Mistral just changed that. On April 29, the Paris-based AI company announced remote coding agents for its Vibe platform, powered by a new model called Mistral Medium 3.5. The idea is simple: Instead of running coding sessions on your laptop, they now run in the cloud — asynchronously, in parallel, and without you watching over them. What’s Actually New Coding sessions can now work through long tasks while you’re away. Many can run in parallel, and you no longer become the bottleneck at every step the agent takes. That’s the core pitch. You start a task from the Mistral Vibe CLI or directly from Le Chat — Mistral’s AI assistant — and the agent handles the rest. When it’s done, it opens a pull request on GitHub and notifies you, so you review the result inste...
Post a Comment
Read more

OpenAI Debuts Symphony to Orchestrate Coding Agents at Scale

OpenAI has unveiled Symphony, an open-source specification that shifts how software development teams deploy AI in workflows, moving from interactive coding assistance toward continuous orchestration of autonomous agents. Symphony reframes project management tools as operational hubs for AI-driven coding. Rather than prompting an assistant for individual tasks, developers assign work through issue trackers, allowing agents to execute tasks in parallel and deliver outputs for human review. The change reflects a trend in enterprise AI in which systems are increasingly embedded into production pipelines rather than used as standalone tools. Symphony emerged from internal experimentation at   OpenAI , where engineers attempted to scale the use of   Codex   across multiple concurrent sessions. While the agents proved capable, human operators became the limiting factor. Engineers found they could only manage a handful of sessions before coordination overhead offset pro...
Post a Comment
Read more