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How Is Monitoring and Capacity Management Performed in wolkvox Solutions?

Written by Jhon Bairon Figueroa

Updated at November 6th, 2025

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Table of Contents

Description Features

Description

wolkvox implements a proactive monitoring and capacity management system designed to ensure the availability, performance, and scalability of its solutions. This approach combines internal and external tools—such as Monitor (internal tool) and PRTG—to analyze infrastructure status in real time, detect anomalies, and optimize resource usage.

Monitoring is automated and performed daily, including load balancing and strict limits on the number of services per server. Additionally, wolkvox follows a rigorous capacity management guideline that enables vertical scaling (through Infrastructure as Code – IaC) and horizontal scaling (adding nodes and separating shared operations), ensuring services scale efficiently according to demand.

 

Features

Monitoring Tools

  • Monitor (internal tool): Enables service performance supervision, failure detection, and real-time alert generation.
  • PRTG (external tool): Provides advanced infrastructure monitoring, including traffic analysis, server availability, and performance metrics.
  • Automated daily analysis: Continuous scanning of infrastructure to identify changes, bottlenecks, or potential failures before they affect users.

 

Capacity Management

  • Load balancing: Servers distribute workloads evenly, preventing saturation and ensuring optimal performance.
  • Server limits: A maximum number of services per server is set to prevent overloads and ensure system stability.
  • Vertical scaling (IaC): Using Infrastructure as Code, wolkvox automates resource scalability (e.g., CPU, RAM) on existing servers, optimizing capacity without interruptions.
  • Horizontal scaling: Additional nodes are added or shared operations are separated to distribute load and improve redundancy.

 

Automated Procedures

  • Dynamic scalability: Vertical and horizontal scaling processes are automated, allowing agile response to demand spikes.
  • Operation separation: Critical operations are isolated on dedicated nodes, reducing the risk of cascading failures and enhancing security.

 

 

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