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@squadcast shared a post, 1 year, 2 months ago

How to Reduce Alert Noise During Scheduled Maintenance: A Complete Guide

Learn how to effectively reduce alert noise during system maintenance by implementing suppression rules. Configure time-based alert suppression, filter by source or host, and use variable-based conditions to prevent alert fatigue while maintaining visibility of critical notifications.

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@squadcast shared a post, 1 year, 2 months ago

Kubernetes Monitoring Best Practices: Health Checks Using Probes

#kuberne... #kuberne...

Kubernetes health checks using probes (readiness, liveness, and startup) are essential for ensuring application reliability and high availability. Readiness probes determine if a pod is ready to serve traffic, while liveness probes check if the application is running correctly. Probes can be configured via HTTP, TCP, or command-based methods, with options like initialDelaySeconds and periodSeconds for fine-tuning. Implementing these probes is a key Kubernetes monitoring best practice, enabling automated issue detection, fault tolerance, and improved user experiences.

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@anjali shared a link, 1 year, 2 months ago

Customer Marketing Manager, Last9

Everything You Need to Know About SIEM Logs

SIEM logs help detect threats and improve security. Learn how they work, why they matter, and how to use them effectively.

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@anjali shared a link, 1 year, 2 months ago

Customer Marketing Manager, Last9

Windows Event Logs: Monitoring, Alerts, and Compliance

Learn how to monitor Windows Event Logs, set up alerts, and ensure compliance with proper log retention and archiving strategies.

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@anjali shared a link, 1 year, 2 months ago

Customer Marketing Manager, Last9

Why Server Health Monitoring Matters (And How to Do It Right)

Monitoring server health helps prevent downtime, spot issues early, and keep systems running smoothly. Here’s how to do it the right way.

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@anjali shared a link, 1 year, 2 months ago

Customer Marketing Manager, Last9

OpenTelemetry Visualization Setup: A Developer's Guide

Learn how to set up OpenTelemetry visualization, choose the right tools, and configure dashboards for actionable insights.

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@squadcast shared a post, 1 year, 2 months ago

Datadog vs Prometheus: Two Major Monitoring Tools Compared

#datadog #prometh... #prometh...

Datadog and Prometheus are leading monitoring tools with different strengths. Datadog offers a comprehensive SaaS solution with built-in integrations and intuitive dashboards, ideal for teams seeking minimal setup. Prometheus provides a powerful open-source alternative with excellent Kubernetes integration and scalability for cloud-native environments, though requiring more technical expertise. Choose Datadog for ease-of-use and all-in-one monitoring, or Prometheus for cost-effectiveness and customizability in cloud-native infrastructure.

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@anjali shared a link, 1 year, 2 months ago

Customer Marketing Manager, Last9

8 Best Grafana Alternatives: Open-Source & Commercial

Explore the top 8 Grafana alternatives, including open-source and commercial tools, to find the best monitoring solution for your needs.

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@laura_garcia shared a post, 1 year, 2 months ago

Software Developer, RELIANOID

A big Thank you!

🌟 A Big Thank You! 🌟 We’re incredibly grateful for the positive feedback on our Support Service! Providing fast, reliable, and expert assistance is a top priority for us, and it’s always rewarding to hear that we’re making a difference. A huge thank you to our team for their dedication and to our cu..

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@anjali shared a link, 1 year, 2 months ago

Customer Marketing Manager, Last9

Apache Monitoring: Setup Guide, Tools, and Best Practices

Learn how to monitor Apache effectively with this guide on setup, essential tools, and best practices for performance optimization.

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.