Why Post-Quantum Cryptography Is a Major Distributed Systems Challenge

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Quantum computers, once mature, will be capable of breaking the asymmetric encryption algorithms that currently protect data stored in cloud systems. A known threat strategy called Harvest Now, Decrypt Later allows adversaries to collect encrypted data today and decrypt it once quantum hardware becomes powerful enough. This is particularly urgent for enterprise systems that retain sensitive records for decades, such as compliance or risk management platforms. Migrating to post-quantum cryptography is not a simple upgrade — larger key sizes and payload headers strain message queues, databases, and inter-service communication. Experts recommend building cryptographic agility into system architectures so that encryption components can be replaced without overhauling core business logic.

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IBM's Docling lets developers self-host a PDF-to-Markdown API for LLM pipelines

IBM's open-source document parser Docling converts PDFs, DOCX, PPTX, and scanned images into clean Markdown or JSON while preserving tables, reading order, and multi-column layouts. Unlike traditional OCR tools, Docling uses local layout models to understand document structure before extracting text, making output more usable for LLM tasks such as RAG, summarization, and data extraction. The tool ships with a FastAPI-compatible serving mode, allowing developers to deploy a REST API that accepts file uploads and returns structured Markdown or JSON without any cloud dependency or API keys. A one-click Railway deployment template is available, though the tool can also be run locally via Docker. Developers should note the service requires approximately 2GB of RAM to load its layout models without risking out-of-memory errors on larger documents.

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ProgrammingDEV Community ·

Terraform Basics: Managing Cloud Infrastructure as Code Explained

Infrastructure as Code (IaC) is the practice of defining and provisioning servers, networks, and databases through machine-readable files instead of manual processes. Terraform, developed by HashiCorp, is a widely used cloud-agnostic IaC tool that works across AWS, Azure, GCP, and on-premises environments. Users describe their desired infrastructure state in configuration files, and Terraform determines what needs to be created, updated, or deleted to match that state. The tool relies on providers as plugins to interact with cloud APIs, and maintains a state file to track deployed resources. Core workflow commands — init, plan, apply, and destroy — allow teams to manage infrastructure systematically, with best practices including the use of variables, remote state storage, and version-controlled modules.

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ProgrammingDEV Community ·

Next.js Server-Side Caching Patterns: From Fetch Deduplication to Route Caching

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ProgrammingDEV Community ·

Developer's Four-Pass Quality Check That Goes Beyond 'It Works'

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