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@sancharini shared a post, 1 week, 4 days ago

Making Test Management Tools Actually Work: From Tracking to Real Insight

Understand why test management tools fail and how leading teams make them work. Practical strategies for tracking, insights, and data-driven testing decisions.

Test Management Tools That Work: From Tracking to Insight
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@alicemgray86 shared a post, 1 week, 4 days ago
Damco Solutions

AS400 Modernization Services in 2026: From Green Screen to Modern UX

For years, the green screen became the unofficial symbol of stability inside enterprise IT.

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@elsie-rainee shared a post, 1 week, 4 days ago
Full Stack Engineer, WPWeb Infotech

Artificial Intelligence vs Machine Learning: What's the Difference?

Confused by AI vs machine learning? This guide breaks down what sets them apart, how they work together, and what it means for you.

Artificial Intelligence vs Machine Learning
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@laura_garcia shared a post, 1 week, 4 days ago
Software Developer, RELIANOID

DevOpsDays Taipei

We're heading to DevOpsDays Taipei 2026! Join us on June 25–26 in Taipei to explore the latest in DevOps, AI, platform engineering, cloud-native technologies, and security alongside hundreds of technology professionals from across Asia. Learn more about the event and meet RELIANOID there. 👇 https://..

devopsdays_taipei_taiwan_june_2026_relianoid
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@laura_garcia shared a post, 1 week, 5 days ago
Software Developer, RELIANOID

GLOBAL DATA SEGREGATION & PRIVACY POLICY

Data privacy, sovereignty, and compliance matter. Learn how RELIANOID manages global data governance, regional privacy requirements, and secure data handling practices across Europe, the United States, and Asia. Read our Global Data Segregation & Privacy Policy. https://www.relianoid.com/security-co..

RELIANOID COMPLIANCE GLOBAL DATA SEGREGATION & PRIVACY POLICY
Story Palark Team Trending
@shurup shared a post, 2 weeks ago
@palark

9 new CNCF projects from 2025: OpenTofu, kgateway, Cozystack, and others

Kubernetes OpenTofu Kubernetes Gateway API

Followingthe recent overviewof newly added CNCF projects in 2025, the next batch of Open Source tools for Cloud Native needs include: - KitOpsfor packaging AI/ML models into all-in-one bundles and deploying them. - OpenTofu, a Terraform fork created by the community. - kagent, a framework for buildi..

New CNCF Sandbox projects in 2025
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@laura_garcia shared a post, 2 weeks ago
Software Developer, RELIANOID

Load Balancing IYC BLUE with RELIANOID

⚓ How do you ensure a yacht and fleet management platform stays available 24/7, even across challenging maritime networks? Discover how 𝗥𝗘𝗟𝗜𝗔𝗡𝗢𝗜𝗗 delivers 𝘩𝘪𝘨𝘩 𝘢𝘷𝘢𝘪𝘭𝘢𝘣𝘪𝘭𝘪𝘵𝘺, 𝘴𝘦𝘤𝘶𝘳𝘪𝘵𝘺, 𝘢𝘯𝘥 𝘱𝘦𝘳𝘧𝘰𝘳𝘮𝘢𝘯𝘤𝘦 for 𝙄𝙔𝘾 𝘽𝙇𝙐𝙀 with intelligent load balancing, SSL offloading, API routing, and resilient failover. R..

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

Lessons from building Code: How we use skills

The Claude Code team catalogs Anthropic's hundreds of internal skills into 9 categories, arguing the best skills fit one cleanly and that verification skills deliver the highest measurable gains, worth an engineer-week each... read more  

Lessons from building Code: How we use skills
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@varbear shared a link, 2 weeks, 2 days ago
FAUN.dev()

The Smallest Brain You Can Build

Devarsh Ranpara builds a single-input perceptron from scratch in Python with browser demos, using the weight, bias, and decision boundary to show why a line forced through zero cannot separate classes that sit far from it... read more  

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

Using local LLMs for agentic coding

Alex Ewerlöf walks through running open-weight models likeGemma 4locally for agentic coding via LM Studio, wiring them into Copilot and Pi as custom endpoints, with the practical traps around context length, KV-cache quantization, and cold-start prompt processing... read more  

Using local LLMs for agentic coding
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.