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@cloudsignals shared a post, 2 weeks, 3 days ago
Director - Cloud Engineering, osttra

Terraform Production Readiness Cheatsheet

Terraform Terragrunt

Terraform working isn’t enough. Learn what it takes to make it production-ready — from backend design to security and automated pipelines.

Terraform Production Readiness Cheatsheet
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@cloudsignals shared a post, 2 weeks, 3 days ago
Director - Cloud Engineering, osttra

DevSecOps: Rapid & Secure Delivery

SonarQube Vault Kyverno Open Policy Agent (OPA) Trivy

If security is your last step, you’re already too late. This guide shows how to build a DevSecOps pipeline where security is continuous, automated, and invisible to delivery speed.

DevSecOps - Rapid & Secure Delivery
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@varbear shared a link, 2 weeks, 4 days ago
FAUN.dev()

Email address obfuscation: What works in 2026?

The article catalogs obfuscation methods:HTML entities,SVG in an object,display:none, JavaScript decoders, custom encodings, andAES‑256. It coversmailtoobfuscation, redirects (302/301,.htaccess), interaction-gated reveals, accessibility caveats, and ahoneypot-based spam-statistics system... read more  

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@varbear shared a link, 2 weeks, 4 days ago
FAUN.dev()

SQLite Features You Didn’t Know It Had: JSON, text search, CTE, STRICT, generated columns, WAL

SQLite packsJSONextraction, expression indexes,FTS5full-text search,CTEs, window functions, andWALinto a single file. It enforcesstrict tables, supportsgenerated columns, and indexes JSON expressions for fast semi-structured queries... read more  

Slurm Workload Manager is an open-source, fault-tolerant, and highly scalable cluster management and scheduling system widely used in high-performance computing (HPC). Designed to operate without kernel modifications, Slurm coordinates thousands of compute nodes by allocating resources, launching and monitoring jobs, and managing contention through its flexible scheduling queue.

At its core, Slurm uses a centralized controller (slurmctld) to track cluster state and assign work, while lightweight daemons (slurmd) on each node execute tasks and communicate hierarchically for fault tolerance. Optional components like slurmdbd and slurmrestd extend Slurm with accounting and REST APIs. A rich set of commands—such as srun, squeue, scancel, and sinfo—gives users and administrators full visibility and control.

Slurm’s modular plugin architecture supports nearly every aspect of cluster operation, including authentication, MPI integration, container runtimes, resource limits, energy accounting, topology-aware scheduling, preemption, and GPU management via Generic Resources (GRES). Nodes are organized into partitions, enabling sophisticated policies for job size, priority, fairness, oversubscription, reservation, and resource exclusivity.

Widely adopted across academia, research labs, and enterprise HPC environments, Slurm serves as the backbone for many of the world’s top supercomputers, offering a battle-tested, flexible, and highly configurable framework for large-scale distributed computing.