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@faun shared a link, 9 months, 2 weeks ago
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v1.34: Of Wind & Will (O' WaW)

Kubernetes v1.34 drops with58 updates, and23 just hit stable. Highlights: Dynamic Resource Allocation (DRA), per-Pod resource limits, and secure image pulls using Pod-specific ServiceAccount tokens. Scalability gets a lift from streaming list responses. Security tightens with finer anonymous auth r.. read more  

v1.34: Of Wind & Will (O' WaW)
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@faun shared a link, 9 months, 2 weeks ago
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kube-bench Tutorial: Features, Use Cases, How It Works

kube-benchjust leveled up. Aqua Security’s CIS compliance scanner now snaps into CI/CD, runs pre-deploy checks, and helps dig through forensics after incidents. It plays nice with managed K8s—EKS, AKS, GKE—and handles custom YAML test suites if you’re going off the beaten path. Reports land in stru.. read more  

kube-bench Tutorial: Features, Use Cases, How It Works
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@faun shared a link, 9 months, 2 weeks ago
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From Novice to Pro: Mastering Lightweight Linux for Your Kubernetes Project

Alpine, Flatcar, Fedora CoreOS, Talos, and Ubuntu Core are carving out strong niches as Kubernetes-first base OSes. Each leans into immutability, container-native design, and just enough system overhead to get out of the way. That lean profile isn’t just a flex—it means lower resource drag and a de.. read more  

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@faun shared a link, 9 months, 2 weeks ago
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An introduction to platform engineering

Platform engineering is stepping in where DevOps didn’t quite land. Think fewer duct-taped pipelines, more thoughtful systems. The fix? Internal Developer Platforms (IDPs), usually riding on Kubernetes, built to tame the sprawl. Gartner says 80% of big engineering orgs will run platform teams by 20.. read more  

An introduction to platform engineering
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@faun shared a link, 9 months, 2 weeks ago
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Kubernetes in an AI-Native World: Can It Stay Relevant?

At KubeCon + CloudNativeCon Hyderabad 2025, CNCF leads made it clear:cloud-native infraisn’t just supporting AI—it’s becoming its backbone. The conversation’s moved on from“Can Kubernetes run AI?”to“How does it evolve for AI-first everything?”.. read more  

Kubernetes in an AI-Native World: Can It Stay Relevant?
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@faun shared a link, 9 months, 2 weeks ago
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Battle for Resources or the SSA Path to Kubernetes Diplomacy

A full-stack engineer and systems architect with hands-on time incloudandIoT, building real-world tools for theoil and gas sector. Think connected rigs, smart pipelines, and infrastructure that doesn’t flinch at scale. Market signal:Industrial tech’s going deep. Cloud and IoT aren’t side projects a.. read more  

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@laura_garcia shared a post, 9 months, 2 weeks ago
Software Developer, RELIANOID

💡 What is a VIP Load Balancer?

AVIP (Virtual IP)load balancer distributes traffic across multiple servers using a single IP. It ensures: ✅ Scalability ✅ High availability ✅ Session persistence ✅ Smart traffic routing 🚀RELIANOIDtakes VIP load balancing to the next level with: 🔒 SSL offloading 📊 Dynamic health monitoring ⚖️ Advance..

Knowledge base VIP LOAD BALANCER
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@anjali shared a link, 9 months, 2 weeks ago
Customer Marketing Manager, Last9

A Practical Guide to Python Application Performance Monitoring(APM)

Monitor, debug, and optimize Python apps in production with APM—track transactions, DB queries, errors, and external calls.

python_apm
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@idjuric660 shared a post, 9 months, 3 weeks ago
Technical Content Writer, Mailtrap

How to Send Emails from Supabase using SMTP or Email API

Whether you’re confirming user signups, sending notifications, or automating workflows, Supabase makes it easy to integrate and send emails with SMTP or third-party APIs. And in this guide, I’ll walk you through every step of the process, including: - Sending emails using Supabase Auth[click here to..

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@anjali shared a link, 9 months, 3 weeks ago
Customer Marketing Manager, Last9

APM Logs: How to Get Started for Faster Debugging

Understand how APM logs connect metrics, traces, and events to speed up debugging and uncover root causes faster.

Prometheus_resource_attributes
GPT-5.3-Codex is OpenAI’s advanced agentic coding model, designed to go beyond writing code and operate as a general-purpose collaborator on a computer. It builds on GPT-5.2-Codex by combining stronger coding performance with improved reasoning and professional knowledge, while running about 25% faster. The model is optimized for long-running tasks that involve research, tool use, and complex execution, and it performs at the top of industry benchmarks such as SWE-Bench Pro and Terminal-Bench.

Unlike earlier Codex models that focused primarily on code generation and review, GPT-5.3-Codex can reason, plan, and act across the full software lifecycle. It supports activities such as debugging, deploying, monitoring, writing product requirement documents, creating tests, and analyzing metrics. It can also autonomously build and iterate on complex applications and better interpret underspecified prompts, producing more complete and production-ready results by default.

A defining feature of GPT-5.3-Codex is its interactive, agentic workflow. Users can steer the model while it is working, receive progress updates, and adjust direction without losing context, making it feel more like a teammate than a batch automation tool. The model was even used internally to help debug its own training and deployment processes. GPT-5.3-Codex is available through paid ChatGPT plans in the Codex app, CLI, IDE extension, and web, with API access planned for the future.