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@karthikeyantse started using tool Amazon EC2 , 1 week, 3 days ago.
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@cadet15789 shared a link, 1 week, 4 days ago
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Cut Your Docker Build Time in Half: 6 Essential Optimization Techniques

Pro tips to write dockerfiles. Cut your build timing of your images by half.

Dockerfiles
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@laura_garcia shared a post, 1 week, 4 days ago
Software Developer, RELIANOID

The JLR Cyber Incident: A Warning Shot for the Automotive Industry

The major cyberattack that halted Jaguar Land Rover’s production for almost six weeks has exposed a hard truth: modern automotive manufacturing is deeply vulnerable to digital disruption. From frozen assembly lines to supplier chaos and regional economic fallout, the incident showed how quickly a si..

Supply-Chain-in-the-Automotive-Industry_RELIANOID
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@anjali shared a link, 1 week, 5 days ago
Customer Marketing Manager, Last9

What is AWS Fargate for Amazon ECS?

Understand how AWS Fargate runs your ECS containers without servers—just define CPU, memory, and networking, and AWS handles the compute.

aws_fargate
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@shurup shared a post, 1 week, 5 days ago
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Helm v4 new features and changes

Helm

Helm v4 has been released a week ago. Its highlights are: - Server-Side Apply instead of 3-Way Merge - WASM plugins - Using kstatus for resource tracking - Content-based chart caching This articleprovides a detailed overview of why these changes were made in Helm v4 and what they bring for Helm user..

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

✈️ Ensuring Efficiency and Security in Airport Operations

Today we highlight our main diagram “Airport Software Systems”, showcasing how integrated airport management platforms —from AODB to landside & airside operations, billing, and information systems— work together to ensure efficient and secure airport operations. We also explain how load balancing en..

Airport Software Systems
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@anjali shared a link, 1 week, 5 days ago
Customer Marketing Manager, Last9

OTel Updates: Complex Attributes Now Supported Across All Signals

OTLP 1.9.0 adds support for maps, arrays, and byte arrays across all OTel signals. Here's when to use complex attributes and when to stick with flat.

otel_metrics_quarkus
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@laura_garcia shared a post, 1 week, 6 days ago
Software Developer, RELIANOID

SOC 2 Compliance

📢 At RELIANOID, we follow SOC 2 Trust Service Criteria to ensure Security, Availability, Confidentiality, Processing Integrity, and Privacy across our load balancing solutions — whether on-prem, cloud, or hybrid. Our controls align with the needs of highly regulated environments such as finance, hea..

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@varbear shared a link, 1 week, 6 days ago
FAUN.dev()

Chinese Hackers Use Anthropic's AI to Launch Automated Cyber Espionage Campaign

Chinese state-backed threat actorsorchestrated automated cyber attacks using AI technology developed byAnthropicin a highly refinedespionage campaignin mid-September 2025. The attackers leveraged AI to execute 80-90% of tactical operations independently at physically impossible request rates, markin.. read more  

Chinese Hackers Use Anthropic's AI to Launch Automated Cyber Espionage Campaign
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.