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@aleonrangel gave 🐾 to Difference between Agile and Scrum , 3 months, 3 weeks ago.
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@laura_garcia shared a post, 3 months, 3 weeks ago
Software Developer, RELIANOID

🔐 Reminder: Azure MFA Enforcement Is Now in Place

Some time ago, Microsoft announced and enforced mandatory multifactor authentication (MFA) for all Azure tenants performing resource management actions. 👉 This marked a clear turning point: MFA is no longer optional — it’s a requirement. At RELIANOID, we shared how this change reinforces the need to..

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@varbear shared a link, 3 months, 3 weeks ago
FAUN.dev()

How to build internal developer tools with a small team

A fresh way to think about internal dev tooling: three axes,width(new features),depth(polish and stability), andpreparation(future-ready architecture). Instead of treating tradeoffs as binary, the model maps them as vectors in a shared space. Less tug-of-war. More informed roadmap moves... read more  

How to build internal developer tools with a small team
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@varbear shared a link, 3 months, 3 weeks ago
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The Mac Malware of 2025 👾

The 2025 macOS malware scene leveled up hard. Thinkmodular infostealers, built for stealth, slipping in with staged loaders, encrypted configs, and slick social engineering - fake updates, bogus job interviews, even sketchy terminal promos like “ClickFix.” Attackers leaned onAppleScript,JXA, andGo-b.. read more  

The Mac Malware of 2025 👾
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@varbear shared a link, 3 months, 3 weeks ago
FAUN.dev()

Web development is fun again

A seasoned dev takes a hard look at today’s messy full-stack reality: scattered tools, niche deep-dives, and burnout baked into the job. ButAI coding assistantsflipped the script. They help offload overhead, mimic pro-level workflows, and sanity-check the code. Now this dev moves across frontend and.. read more  

Web development is fun again
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@varbear shared a link, 3 months, 3 weeks ago
FAUN.dev()

How Browsers Work

An interactive open-source guide breaks down browser internals with slick, step-through models coveringDNS resolution,TCP handshakes, andHTML parsing. It walks through the browser'ssequential pipeline- from URL to DOM - blending protocol deep-dives with hands-on visuals you can poke at... read more  

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@kaptain shared a link, 3 months, 3 weeks ago
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v1.35: Introducing Workload Aware Scheduling

Kubernetes v1.35 is shifting gears. The newWorkload APIand earlygang schedulingsupport bring group-first thinking, schedule Pods as a unit, or not at all. They’ve thrown inopportunistic batchingtoo. It’s in Beta. It speeds up clusters juggling loads of identical Pods by skipping repeat feasibility c.. read more  

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@kaptain shared a link, 3 months, 3 weeks ago
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Bryan Cantrill: How Kubernetes Broke the AWS Cloud Monopoly

Bryan Cantrill says Kubernetes didn’t just organize containers, it cracked open the cloud market. By letting teams provision infrastructure without locking into provider APIs, it broke AWS’s first-mover grip. That shift putcloud neutralityon the table, and suddenly multi-cloud wasn’t just a buzzword.. read more  

Bryan Cantrill: How Kubernetes Broke the AWS Cloud Monopoly
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@kaptain shared a link, 3 months, 3 weeks ago
FAUN.dev()

Kubernetes Was Overkill. We Moved to Docker Compose and Saved 60 Hours.

A small team rolled back their Kubernetes move after six months in the weeds. The setup tanked productivity, bloated infra costs, and turned simple deploys into a slog. They ditched it, brought back Docker Compose, and chopped deploy time from 45 minutes to 4. That one change freed up 60+ engineerin.. read more  

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@kaptain shared a link, 3 months, 3 weeks ago
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From Cluster UI to Operational Plane: Lessons from the Kubernetes Dashboard Deprecation

The official Kubernetes Dashboard has been deprecated. This reflects the shift in Kubernetes operations towards multi-cluster environments, GitOps workflows, and strict access controls. Modern Kubernetes environments require application-aware, RBAC-first operational tools that work across clusters a.. read more  

Lustre is an open-source, parallel distributed file system built for high-performance computing environments that require extremely fast, large-scale data access. Designed to serve thousands of compute nodes concurrently, Lustre enables HPC clusters to read and write data at multi-terabyte-per-second speeds while maintaining low latency and fault tolerance.

A Lustre deployment separates metadata and file data into distinct services—Metadata Servers (MDS) handling namespace operations and Object Storage Servers (OSS) serving file contents stored across multiple Object Storage Targets (OSTs). This architecture allows clients to access data in parallel, achieving performance far beyond traditional network file systems.

Widely adopted in scientific computing, supercomputing centers, weather modeling, genomics, and large-scale AI training, Lustre remains a foundational component of modern HPC stacks. It integrates with resource managers like Slurm, supports POSIX semantics, and is designed to scale from small clusters to some of the world’s fastest supercomputers.

With strong community and enterprise support, Lustre provides a mature, battle-tested solution for workloads that demand extreme I/O performance, massive concurrency, and petabyte-scale distributed storage.