Terraform: Modules using Git Branch as Source

HashiCorp Terraform empowers DevOps Engineers and SREs to manage cloud resources efficiently. One of its standout features is the Terraform Modules support, allowing users to organize and reuse infrastructure code effectively as reusable modules. While Terraform's...

Terraform: How are Data Sources used?

In HashiCorp Terraform, data sources serve as a bridge between the Terraform configuration and external systems or information. Essentially, data sources allow Terraform to query external resources, such as cloud platforms, APIs, databases, or other systems, and use...

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Terraform: Split main.tf into seperate files

When using HashiCorp Terraform as the Infrastructure as Code (IaC) tool of choice, it becomes critical to organize the Terraform code as the Terraform project becomes more complex. One of the most common practices is to split the Terraform project from a single file...

Terraform: Remove Resource from State File (.tfstate)

Terraform's declarative approach allows for defining infrastructure as code (IaC), enabling teams to automate the deployment and management of resources across various cloud providers, including Microsoft Azure and Amazon AWS. As infrastructure evolves, there may...

Benefits of Convention over Configuration for IaC Deployment Projects

With Infrastructure as Code (IaC), every aspect of an organization's infrastructure is defined and managed through code. This infrastructure deployment and configuration automation makes managing the organizations infrastructure much easier over time. Also, by...

Terraform: Modules using Git Branch as Source

HashiCorp Terraform empowers DevOps Engineers and SREs to manage cloud resources efficiently. One of its standout features is the Terraform Modules support, allowing users to organize and reuse infrastructure code effectively as reusable modules. While Terraform's...

Terraform: How are Data Sources used?

In HashiCorp Terraform, data sources serve as a bridge between the Terraform configuration and external systems or information. Essentially, data sources allow Terraform to query external resources, such as cloud platforms, APIs, databases, or other systems, and use...

Terraform: Split main.tf into seperate files

When using HashiCorp Terraform as the Infrastructure as Code (IaC) tool of choice, it becomes critical to organize the Terraform code as the Terraform project becomes more complex. One of the most common practices is to split the Terraform project from a single file...

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Terraform: Modules using Git Branch as Source

HashiCorp Terraform empowers DevOps Engineers and SREs to manage cloud resources efficiently. One of its standout features is the Terraform Modules support, allowing users to organize and reuse infrastructure code effectively as reusable modules. While Terraform's...

 

 

Terraform: How are Data Sources used?

In HashiCorp Terraform, data sources serve as a bridge between the Terraform configuration and external systems or information. Essentially, data sources allow Terraform to query external resources, such as cloud platforms, APIs, databases, or other systems, and use...

 

Terraform: Split main.tf into seperate files

When using HashiCorp Terraform as the Infrastructure as Code (IaC) tool of choice, it becomes critical to organize the Terraform code as the Terraform project becomes more complex. One of the most common practices is to split the Terraform project from a single file...

 

 

Azure CLI: Check if Blob Exists in Azure Storage

Before we dive into the nitty-gritty details, let's clarify some essential concepts. Azure Storage, a cloud-based storage solution, is organized into a hierarchy of containers, and within these containers, you'll find Blobs. Blobs are objects or files that can be...

 

Deploying Azure Bicep Templates using the Azure CLI

Using the Azure CLI to deploy Azure Bicep templates can be used to more efficiently build Infrastructure as Code (IaC) deployment workflows for managing Microsoft Azure resources. Azure Bicep templates and the Azure CLI are both powerful tools for any DevOps Engineer...

 

 

AISecOps: Applying DevSecOps to AI and ML Security

Artificial Intelligence (AI) and Machine Learning (ML) have emerged as transformative technologies, driving innovation across many industries. However, in addition to their benefits, AI and ML systems bring unique security challenges that demand a proactive and...

 

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