An Easy Guide to OpenTelemetry Environment Variables
Get up and running with OpenTelemetry environment variables in no time. This guide helps you configure and optimize your observability setup easily.
Updates and recent posts about Slurm.. Link
Link
@anjali shared a link, 1 year, 4 months ago
Customer Marketing Manager, Last9
OpenTelemetry vs Jaeger: Which Should You Pick?
Compare OpenTelemetry and Jaeger to determine which tool best fits your observability needs for distributed systems and performance tracking.
Link
@anjali shared a link, 1 year, 4 months ago
Customer Marketing Manager, Last9
OpenTelemetry Collector with Docker: A Detailed Guide
Learn how to set up and run the OpenTelemetry Collector with Docker, complete with configuration tips and step-by-step instructions.
Link
@anjali shared a link, 1 year, 4 months ago
Customer Marketing Manager, Last9
7 Leading Network Monitoring Tools for Enterprises
Explore 7 top network monitoring tools that help enterprises ensure performance, reliability, and security across their networks.
Story
@viktoriiagolovtseva shared a post, 1 year, 4 months ago
Jira Issue Hierarchy Explained: How to Structure and Manage Your Projects
In this article, we’ll guide you through how to optimize your project structure by customizing Jira’s hierarchy. You’ll also see examples of how teams overcome common challenges with managing tasks and scaling projects.
Link
@anjali shared a link, 1 year, 4 months ago
Customer Marketing Manager, Last9
Amazon OpenSearch Service: The Only Tutorial You Need
Discover how to set up, optimize, and use Amazon OpenSearch Service with this comprehensive, step-by-step tutorial.
Story
@squadcast shared a post, 1 year, 4 months ago
Datadog vs. Dynatrace: A Deep Dive
This blog post compares Datadog and Dynatrace, two leading monitoring solutions.
Datadog excels in breadth, offering comprehensive monitoring across infrastructure, applications, logs, and more. It boasts a user-friendly interface and extensive integrations.
Dynatrace specializes in AI-powered application performance monitoring, particularly strong in cloud-native environments. It provides deep insights and automated analysis, but can have a steeper learning curve.
The best choice depends on your specific needs, including monitoring priorities, application complexity, budget, and team expertise.
Link
@anjali shared a link, 1 year, 4 months ago
Customer Marketing Manager, Last9
OpenTelemetry Profiling: A Look into Performance Insights
OpenTelemetry profiling helps you explore app performance, pinpointing issues and improving efficiency for better, more reliable apps.
Link
@anjali shared a link, 1 year, 4 months ago
Customer Marketing Manager, Last9
Apdex Score 101: Definition, Calculation, and Limitations
Learn what the Apdex score is, how to calculate it, and its limitations. A quick guide to measuring user satisfaction effectively.
Story
@squadcast shared a post, 1 year, 4 months ago
Severity Level Classification: The Ultimate Guide to Major vs Critical Incidents
This comprehensive guide explores severity level classification in IT incident management. The article breaks down the five-tier severity system (SEV 1-5), explaining how to differentiate between critical and major incidents. Key highlights include:
Detailed explanation of severity levels from critical (SEV 1) to trivial (SEV 5)
Factors affecting severity classification including user impact, system complexity, and business criticality
Step-by-step implementation guide for effective severity level classification
Integration of SLIs and SLOs in incident classification
Best practices for automated classification systems
Business benefits including improved response times and enhanced continuity
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.
