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@anjali shared a link, 1 year, 4 months ago
Customer Marketing Manager, Last9

How to Integrate OpenTelemetry with Django

Learn how to integrate OpenTelemetry with Django to monitor performance, trace requests, and improve observability in your applications.


otel
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@anjali shared a link, 1 year, 4 months ago
Customer Marketing Manager, Last9

Application Monitoring Best Practices: A Comprehensive Guide

Ensure your app's reliability with best practices in monitoring: choose key metrics, configure alerts, and stay proactive for optimal performance.


Application Monitoring Best Practices
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@anjali shared a link, 1 year, 4 months ago
Customer Marketing Manager, Last9

The Essentials of SNMP Monitoring in Networks

SNMP monitoring is crucial for tracking network device performance, helping optimize and secure your network with real-time insights.


components
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@anjali shared a link, 1 year, 4 months ago
Customer Marketing Manager, Last9

gRPC with OpenTelemetry: Observability Guide for Microservices

Learn how to integrate gRPC with OpenTelemetry for better observability, performance, and reliability in microservices architectures.


otel
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@anjali shared a link, 1 year, 4 months ago
Customer Marketing Manager, Last9

Linux Syslog Explained: Configuration and Tips

Learn how to configure and manage Linux Syslog for better system monitoring, troubleshooting, and log management with these helpful tips.


Linux Store Syslog Files
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@anjali shared a link, 1 year, 4 months ago
Customer Marketing Manager, Last9

A Guide to Spring Boot Logging: Best Practices & Techniques

Learn the best practices and techniques for efficient Spring Boot logging to enhance performance, security, and troubleshooting in your applications.


What-is-an-APM_-A-Comprehensive-Guide-to-Application-Performance-Monitoring
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@anjali shared a link, 1 year, 4 months ago
Customer Marketing Manager, Last9

Application Logs: Key Components, Types, & Best Practices

Explore the essential components, types, and best practices for managing application logs to optimize troubleshooting, performance, and security.


application
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@anjali shared a link, 1 year, 4 months ago
Customer Marketing Manager, Last9

Parquet vs CSV: Which Format Should You Choose?

Parquet outperforms CSV with its columnar format, offering better compression, faster queries, and more efficient storage for large datasets.


files
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@anjali shared a link, 1 year, 4 months ago
Customer Marketing Manager, Last9

npm Packages: Cheatsheet, Troubleshooting & More

Get the hang of npm with this handy cheatsheet—listing packages, installing, troubleshooting, and tips to make your dev life easier!


npm
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@anjali shared a link, 1 year, 4 months ago
Customer Marketing Manager, Last9

Top 7 Cloud Providers: The Best AWS Alternatives

Discover the top 7 AWS alternatives, comparing features, benefits, and what makes each one a strong cloud solution for your needs.


cloud
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.