Cloud-Native Microservices With Kubernetes - 2nd Edition

A Comprehensive Guide to Building, Scaling, Deploying, Observing, and Managing Highly-Available Microservices in Kubernetes

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@carlos_devops shared a post, 6 months, 1 week ago

Consultant, Independent

What is a recommended as a good alternative from JFrog for artifact management as an entrpise grade solution?

When thinking about enterprise-grade artifact management beyond JFrog Artifactory, how do other solutions measure up in terms of universal package support, scalability, security, and seamless DevOps integration?

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@laura_garcia shared a post, 6 months, 1 week ago

Software Developer, RELIANOID

📣 We're thrilled to see our solutions featured on TechBullion!

A big thank you to the TechBullion team for highlighting our work and helping spread the word about what we do. 🙌 🔗 https://www.relianoid.com/about-us/relianoid-related-articles/ #TechBullion#RELIANOID#CyberSecurity#LoadBalancing#Networking#Innovation#TechNews..

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@laura_garcia shared a post, 6 months, 2 weeks ago

Software Developer, RELIANOID

🚀 Our first time in Taiwan! DevOpsDays Taipei

📍 June 5–6 | Taipei, Taiwan We’re excited to join DevOpsDays Taipei 2025, Taiwan’s biggest DevOps event! Over 700 IT pros, engineers, and tech leaders will gather to dive into automation, CI/CD, observability, SRE, and DevOps culture. 👥 Meet the RELIANOID team on-site! Discover how we help DevOps te..

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@ragavbarani gave 🐾 to Challenges in synthetic monitoring , 6 months, 2 weeks ago.

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@anjali shared a link, 6 months, 2 weeks ago

Customer Marketing Manager, Last9

Prometheus Alerting Examples for Developers

Know how to set up smarter Prometheus alerts from basic CPU checks to app-aware rules that reduce noise and catch real issues early.

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@anjali shared a link, 6 months, 2 weeks ago

Customer Marketing Manager, Last9

Jaeger vs Zipkin: Which is Right for Your Distributed Tracing

Compare Jaeger and Zipkin to find the best fit for your distributed tracing needs, infrastructure, and observability goals.

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@laura_garcia shared a post, 6 months, 2 weeks ago

Software Developer, RELIANOID

🔐 RELIANOID at Cyber Security Congress 2025 – Enabling a Secure Future

📍 June 4–5 | Santa Clara, California | Part of TechEx North America The future of cybersecurity demands smart, scalable solutions — and we’re ready to deliver. Join us at#CyberSecurityCongress, where RELIANOID will showcase advanced application delivery and threat protection technologies built for h..

Cyber Security Congress North America 2025

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@readdive shared a post, 6 months, 2 weeks ago

Founder, Read Dive

Snapchat and Generative AI: The Next Phase of Augmented Reality

Explore how Snapchat combines generative AI and augmented reality to transform digital creativity, user interaction, and storytelling in exciting new ways.

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@readdive shared a post, 6 months, 2 weeks ago

Founder, Read Dive

Ensuring Performance and Security: Testing Solutions for Crypto Mobile Apps

Ensure secure, high-performing crypto apps with expert solutions from mobile app testing companies. Learn key strategies and testing essentials.

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@faun shared a link, 6 months, 2 weeks ago

FAUN.dev()

Langflow RCE Vulnerability: How a Python exec() Misstep Led to Unauthenticated Code Execution

Hackers found a sneaky way to run any Python code they wanted on servers usingLangflow. They didn't even need to log in. If that's unsettling, it should be. Upgrade toversion 1.3.0now, before things get weirder... 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.

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