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@nelly96 added a new tool GPTHuman , 2 months, 1 week ago.
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@laura_garcia shared a post, 2 months, 1 week ago
Software Developer, RELIANOID

Want to deploy RELIANOID Load Balancer Enterprise Edition v8 on AWS using Terraform in a clean, automated way?

We’ve got you covered. In this step-by-step guide, you’ll learn how to: Use the official Terraform module from the Terraform Registry Automatically provision VPC, subnet, security groups, and EC2 Deploy the RELIANOID Enterprise Edition AMI Access the VM via SSH and Web GUI Easily destroy all resourc..

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@sancharini shared a post, 2 months, 1 week ago

Interpreting Software Testing Metrics Beyond Dashboards

Learn how to interpret software testing metrics beyond dashboards, turning raw data into actionable insights that improve release decisions and reduce risk.

Interpreting Software Testing Metrics Beyond Dashboards
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@idjuric660 shared a post, 2 months, 1 week ago
Technical Content Writer, Mailtrap

5 Best Email API for Python Developers Tested & Compared

The best email APIs for Python developers are Mailtrap, Mailgun, SendGrid, Amazon SES, and Postmark. SDK quality & framework compatibility All five providers offerPythonSDKs and they’re compatible with popular frameworks. I tested each withDjango,Flask, and FastAPI to assess real-world integration. ..

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@jordanunix created an organization DevOpsDayLA , 2 months, 1 week ago.
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@laura_garcia shared a post, 2 months, 1 week ago
Software Developer, RELIANOID

💡 Third-Party Vendors: The Hidden Cybersecurity Risk

In today’s hyper-connected world, digital supply chains are only as secure as their weakest link. One single vendor can open the door to ransomware, outages, or worse. At RELIANOID, we take this risk seriously. 🔒 That’s why we apply: ✅ Continuous vendor risk assessments ✅ Real-time monitoring of thi..

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@varbear shared a link, 2 months, 1 week ago
FAUN.dev()

Software engineering when machine writes the code

In 1968, computer scientists identified the "software crisis" - the existing methods of programming were struggling to handle the power of computers. Today, AI coding assistants are accelerating productivity, but concerns arise about understanding the code they generate, the implications for debuggi.. read more  

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@varbear shared a link, 2 months, 1 week ago
FAUN.dev()

Unconventional PostgreSQL Optimizations

PostgreSQL 18 now supportsvirtual generated columns, indexable expressions without burning storage. Perfect for standardizing queries in analytics-heavy pipelines. Pair that withplanner constraint exclusion(constraint_exclusion=on), and Postgres can dodge irrelevant table scans based on constraints... read more  

Unconventional PostgreSQL Optimizations
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@varbear shared a link, 2 months, 1 week ago
FAUN.dev()

How I Taught GitHub Copilot Code Review to Think Like a Maintainer

Vibe coding has made contributing to open source easier, but the high number of contributions to the AI agent framework goose has posed a challenge. An AI Code Review agent like Copilot can help review PRs, but tuning its feedback is crucial for reducing noise and increasing value. By providing clea.. read more  

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@varbear shared a link, 2 months, 1 week ago
FAUN.dev()

The challenges of soft delete

"Soft delete" sounds gentle. It isn't. Slapping adeleted_atcolumn on every table pollutes queries, drags down migrations, and leaves tombstones all over production. This post digs into saner options:PostgreSQL triggers,event archiving in the app layer, andCDC via WAL. Each separates the dead stuff f.. 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.