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Dynamic Module Sources, Marking Variables and Outputs as Deprecated, convert() - let's talk about the new language features in Terraform 1.15
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A deep dive into Terraform's expansion mechanism — how for_each and count transform configuration blocks into multiple resource instances in the graph.
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Terraform 1.15 introduces deprecation warnings for variables and outputs.
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A deep dive into tfdiags, Terraform's diagnostic and error handling system — how errors, warnings, and source ranges flow through the codebase.
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How Terraform evaluates expressions using go-cty for value representation and HCL for parsing — a deep dive into the evaluation engine internals.
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How Terraform resolves references between resources, variables, and modules — tracing the dependency graph from HCL expressions to execution order.
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A deep dive into Terraform's addrs package — how every resource, module, and variable gets a unique address that drives the entire execution engine.
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A deep-dive blog series by a Terraform Core engineer exploring how Terraform works internally — from address parsing to graph expansion and evaluation.
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A curated and growing list of common usage patterns for Terraform Actions, showing real-world examples of non-CRUD operations in Terraform configuration.
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How to implement Terraform resources, data sources, and actions for APIs with recursive structures using the Terraform Plugin Framework.
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How we designed Terraform Actions — the key design decisions behind integrating a new language construct for non-CRUD operations into Terraform.
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Common patterns and guidelines for writing Terraform Actions, the language feature for expressing non-CRUD infrastructure operations.
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A hands-on guide to writing a Terraform Action for non-CRUD operations, covering provider implementation, schema design, and typical use cases.
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Terraform Actions let you express non-CRUD operations directly in configuration — replacing local-exec provisioners and pseudo data source workarounds.
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Step-by-step guide to migrating a Terraform provider from SDKv2 to the Plugin Framework, including muxing, testing, and common migration pitfalls.
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A code-level comparison of how the Terraform Stacks runtime and the classic module runtime differ in graph building, evaluation, and execution.
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A concise overview of Terraform Stacks — what they are, how they relate to modules, and why they exist for managing infrastructure at scale.
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How to write a remark plugin that inlines code snippets from GitHub repositories into Markdown, keeping blog posts in sync with source code automatically.
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How to use chezmoi to manage dotfiles and keep personal and work Macbook development environments synchronized across multiple machines.
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How to implement the tagged union pattern in Go when coming from TypeScript, using interfaces and sealed types to model mutually exclusive states.
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Covering the internals of CDKTF and CDK8s — the universal constructs model, real-world migration examples, and when adopting a CDK is the right choice.
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Learn how to spawn, monitor, and manage one-shot and long-running child processes in Rust using tokio::process::Command with real-world examples.
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A practical walkthrough of deploying infrastructure across multiple stacks, environments, and regions using CDKTF.
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Building and distributing hybrid constructs that work across both HCL and CDKTF — for organizations adopting CDKTF gradually.
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A code-level deep dive into the convert command that transforms HCL into CDKTF code — tracing through parsing, graph building, and code generation.
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What actually happens when you run cdktf synth — from a Python CDKTF program, through JSII, to the generated HCL JSON that Terraform consumes.
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You can use CDK for Terraform to automate spinning up a complex development environment.
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Learn how to trigger and manage GraphQL subscription updates using RxJS observables, enabling real-time data flows in your JavaScript applications.
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A practical approach to testing side effects in RxJS, covering marble testing patterns and strategies for verifying observable behavior in Angular and Node.js applications.
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How to simulate real-world movement and gyroscopic sensor data in Android and iOS emulators for testing location-aware mobile applications.