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

Heroku Logs: Everything You Need to Know

Everything you need to know about using Heroku logs for monitoring, troubleshooting, and improving app performance.

event_logs
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@laura_garcia shared a post, 1 year, 4 months ago
Software Developer, RELIANOID

🔍 Unlock Seamless Telecom Operations with "Automatic Troubleshoot Response"

Telecom companies face the constant challenge of maintaining efficiency and customer satisfaction in a rapidly evolving landscape. That’s where OSS (Operational Support Systems) and BSS (Business Support Systems) step in—acting as the backbone for technical operations and customer-facing processes. ..

Automatic Troubleshooting response
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@adammetis shared a post, 1 year, 4 months ago
DevRel, Metis

Schema Changes Are a Blind Spot

Schema changes and migrations can quickly spiral into chaos, leading to significant challenges. Overcoming these obstacles requires effective strategies for streamlining schema migrations and adaptations, enabling seamless database changes with minimal downtime and performance impact. Without these practices, the risk of flawed schema migrations grows - just as GitHub experienced. Discover how to avoid similar pitfalls.

SchemaChanges.webp
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@squadcast shared a post, 1 year, 4 months ago

Alert Noise Reduction: How to Eliminate Alert Fatigue with Auto Pause Transient Alerts

Discover how Auto Pause Transient Alerts (APTA) revolutionizes alert noise reduction for DevOps teams. Learn to eliminate alert fatigue, optimize incident response, and enhance team productivity through intelligent alert management. Includes implementation guides, best practices, and real-world use cases.

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@squadcast shared a post, 1 year, 4 months ago

Why Consider PagerDuty Alternatives? 5 Critical Reasons to Switch in 2025

Why Consider PagerDuty Alternatives? 5 Critical Reasons to Switch in 2025" analyzes the evolving landscape of incident management platforms and explores compelling reasons for organizations to consider alternatives to PagerDuty. The article examines five key areas where modern solutions are outpacing traditional offerings:

User Interface: Modern alternatives offer streamlined, intuitive interfaces compared to PagerDuty's complex navigation system

Pricing Structure: Analysis of transparent pricing models versus PagerDuty's tiered pricing and add-on costs

SRE/DevOps Integration: Built-in reliability engineering features that go beyond basic incident management

Platform Unification: Comprehensive all-in-one solutions versus fragmented tooling

Enterprise Support: Enhanced migration assistance and ongoing technical support

The article provides practical guidance for evaluating alternatives, including demo considerations, pricing comparisons, and migration planning. It concludes with actionable steps for organizations considering a switch from PagerDuty to more modern incident management solutions.

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@laura_garcia shared a post, 1 year, 4 months ago
Software Developer, RELIANOID

Los Angeles CyberSecurity Conference 2025

🌐 Save the Date! We’re excited to attend the Los Angeles CyberSecurity Conference 2025, hosted by FutureCon Events on January 16th! This exclusive event is your gateway to: Learning from C-level executives about mitigating cyber risks. Gaining actionable insights on building cyber-resilient organiza..

cybersecurity conference los angeles
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@anjali shared a link, 1 year, 4 months ago
Customer Marketing Manager, Last9

Optimizing Systems with the Observability Maturity Model

The Observability Maturity Model helps organizations optimize systems by advancing through stages to improve reliability, performance, and troubleshooting.


Observability-maturity-model
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@anjali shared a link, 1 year, 4 months ago
Customer Marketing Manager, Last9

Cloud Tracing in Distributed Systems: Gaining Visibility

Cloud tracing provides essential visibility into distributed systems, helping track requests, identify bottlenecks, and improve performance. Learn the best practices and tools for effective monitoring.


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

Kafka with OpenTelemetry: Distributed Tracing Guide

Learn how to integrate Kafka with OpenTelemetry for enhanced distributed tracing, better performance monitoring, and effortless troubleshooting.


Host Metrics with OpenTelemetry
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@anjali shared a link, 1 year, 4 months ago
Customer Marketing Manager, Last9

OpenSearch Serverless: How It Works & Key Comparisons

OpenSearch Serverless simplifies search and analytics with auto-scaling, cost efficiency, and easy management, ideal for large-scale applications.


architecture
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.