Innovation and technology nurture each other.

We harness the power of data for better decision making within an innovative organizational culture, through our team of Data Architects, Data Scientists and Data Engineers.

This evolves into gigantic volumes of data, which using the tools provided by the cloud allows us not only to improve its analysis but also to implement Machine Learning and AI to increase business intelligence.

Intelligent Forecasting

AI solution that allows the forecasting of business events in advance in order to plan improvements and actions that optimize results.

Data Lakes

Business analysis, manage diverse data sources, and achieve a better understanding of the world through these centralized repositories.

Master Data Optimization

The Master Data Optimization solution uses Machine Learning to automate the creation, remediation and continuous maintenance of master databases.

HealthBot

Virtual health channel that uses cognitive technologies such as artificial intelligence, in order to optimize and speed up the times of health institutions.

Innovation Workshops

Teaching disruptive processes maintaining the operation and eliminating variation, in order to allow the execution of correct decision-making.

Intelligent Automation

Robotic Process Automation (RPA) and Artificial Intelligence that empower a rapid automation of end-to-end business processes and accelerate digital transformation.

Nubiral Cognitive AI Bot

Virtual conversational assistant based on Artificial Intelligence (AI) that enables real-time file processing.

Intelligent Document Processing

An AI solution that allows extracting information from documents and incorporating it into an automatic process, using OCR technology.

Intelligent Forecasting for demand planning

An insurance company performs demand forecasting in its various business units and reduces forecasting errors.

Read more

Anomaly detection through Data Lake and Fraud Detector

An important insurance company in Mexico detects anomalies and prevents actions with a probability of being fraudulent.

Read more

Application of multivariate models to improve delinquency and loss

Improvement of delinquency and loss indicators through the application of multivariate models that analyze different aspects of clients.

Read more

Detection and correction of fraud using Fraud Detector

Fraud prevention using a machine learning model created by Nubiral: Fraud Detector.

Read more
Blog

Microsoft Fabric and Power BI Copilot: the power of data to the extreme

These two integrated tools make it easier to obtain the maximum possible value throughout the entire data lifecycle.

Read more
eBooks

MLOps: powering the value of machine learning

A comprehensive guide to MLOps, a key discipline that guarantees the success of Machine Learning (ML) projects in organizations.

Read more
Papers

Trends 2024: Start getting value from generative AI

Over the next 12 months, we will witness an incremental adoption of generative AI, higher levels of maturity and new use cases.

Read more
Whitepapers

Microsoft Fabric Guide: Use case end-to-end Deployment

Banks and financial services companies can benefit in numerous ways by deploying Microsoft Fabric.

Read more

Learn about our architecture that combines at least one public and one private cloud to deliver the highest levels of scalability, flexibility, and performance.

Application modernization by migrating to the AWS cloud

Migration to the AWS Cloud at Telecom Argentina, modernizing obsolete applications with a focus on operational excellence.

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Modernization of multimedia content with AWS Migration

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Migration to AWS by a major Japanese automobile company

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An important logistics company migrates its systems to AWS

OCA Argentina relies on legacy systems with limited cloud integration, so it modernized its technology by migrating to AWS.

Read more
Blog

5 benefits of serverless architectures

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eBooks

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04 October , 2022

Cloud 4.0: A phenomenon in exponential growth

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Application migration, optimization, efficiency, security, analytics and implementation services, with the aim of simplifying and accelerating the adoption of the latest IT trends in the market.

Planning and Consulting

  • Evaluation and Planning
  • Adoption Strategy Consultancy

Test

  • Test Automation

Execution

  • Design and implementation of CI/CD Pipeline
  • Automation and implementation of processes

App Dev

  • Code (JavaScript, Go, Python)

Telecommunications modernization with AWS technologies

A leading telecommunications company modernizes its applications to respond more quickly and agilely to market changes.

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App Modernization in Telecommunications and Entertainment

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Blog

The importance of containers in modernization

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eBooks

Agile & DevOps

A review of the meanings of each of these concepts, how they integrate with each other and what benefits they bring.

Read more

As ZABBIX Certified Partners, we scale to environments with thousands of items monitored simultaneously.
We also capture data of systems and applications over time to make proactive decisions and to anticipate disruptions in business services.

  • Zabbix Architecture and Implementation
  • Data & Analytics Monitoring

Monitoring solution upgrade using Zabbix

Migration of monitoring tool to an automated system for host discovery, dashboards, and scalability over time.

Read more

Telephone exchange monitoring, usage metrics, and channels

Monitoring of AVAYA phone system through the implementation of Zabbix, executing the only method of information extraction via telnet manager.

Read more

Implementation of monitoring solution with Zabbix

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Read more

IT Resource Monitoring Platform

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Read more
Blog

System Monitoring: the 5 most anticipated features for Zabbix 6.4

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Read more
eBooks

Compliance: the evolution of monitoring

A key paradigm for anticipating and solving problems in increasingly complex IT infrastructures.

Read more
Whitepapers

OpenSearch and its log agents

OpenSearch is a comprehensive solution for centralizing and analyzing logs from various sources, ideal for managing complex IT scenarios.

Read more

We help innovate by preparing our clients against current cyber threats.

We fulfill the responsibility of protecting data to maintain trust and comply with regulations.

  • Cloud Assessment & Consulting
  • Security Frameworks & Best Practices
  • Penetration Testing
  • Cloud Security
  • DevSecOps
Blog

Cybersecurity: Key Pillar for a 360º Digital Experience

To mitigate the risks associated with cyberattacks and protect data is essential to survive and lead in the era of digital transformation.

Read more

Microsoft Fabric and Power BI Copilot: the power of data to the extreme

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Read more

AI First: more investment, more opportunities

One study revealed that the more experience companies gain using AI, the more use cases they develop.

Read more

Cybersecurity: Key Pillar for a 360º Digital Experience

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Read more

AI-powered Conversational Assistants

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Read more

MLOps: powering the value of machine learning

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Read more

DataOps: everyone plays their own game

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Read more

GenAI Services: A land of opportunity for organizations.

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Read more

Intelligent Document Processing

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Read more

Connect+ is a great tool to incorporate knowledge and stay up to date with the latest technological developments.

Access new innovative audiovisual content, quickly and easily. Explore and get to know the technological universe in a different and agile way!

Microsoft Fabric Guide: Use case end-to-end Deployment

Banks and financial services companies can benefit in numerous ways by deploying Microsoft Fabric.

Read more

How to Deploy Microsoft Fabric in Multicloud Infrastructures

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Read more

OpenSearch and its log agents

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Read more

AI-based conversational assistant

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Read more

AWS + Nubiral

As an Advanced Consulting Partner of the AWS Partner Network, we think outside the box, daring to go where no one has gone before.
We constantly challenge ourselves to be better, providing your company with AWS solutions in a holistic and tailored way.

Microsoft + Nubiral

As Cloud Gold Partner, we work together with Microsoft every day to offer our clients the most innovative solutions based on the different microservices and capabilities that the Azure cloud offers.
Our team is constantly training and certifying on Azure’s services.

Zabbix + Nubiral

As ZABBIX Certified Partners, we scale to environments with thousands of items monitored simultaneously.
We also capture data of systems and applications over time to make proactive decisions and to anticipate disruptions in business services.

Data
& Innovation

General Info

Innovation and technology nurture each other.

We harness the power of data for better decision making within an innovative organizational culture, through our team of Data Architects, Data Scientists and Data Engineers.

This evolves into gigantic volumes of data, which using the tools provided by the cloud allows us not only to improve its analysis but also to implement Machine Learning and AI to increase business intelligence.

Solutions

Intelligent Forecasting

AI solution that allows the forecasting of business events in advance in order to plan improvements and actions that optimize results.

Data Lakes

Business analysis, manage diverse data sources, and achieve a better understanding of the world through these centralized repositories.

Master Data Optimization

The Master Data Optimization solution uses Machine Learning to automate the creation, remediation and continuous maintenance of master databases.

HealthBot

Virtual health channel that uses cognitive technologies such as artificial intelligence, in order to optimize and speed up the times of health institutions.

Innovation Workshops

Teaching disruptive processes maintaining the operation and eliminating variation, in order to allow the execution of correct decision-making.

Intelligent Automation

Robotic Process Automation (RPA) and Artificial Intelligence that empower a rapid automation of end-to-end business processes and accelerate digital transformation.

Nubiral Cognitive AI Bot

Virtual conversational assistant based on Artificial Intelligence (AI) that enables real-time file processing.

Intelligent Document Processing

An AI solution that allows extracting information from documents and incorporating it into an automatic process, using OCR technology.

Success Stories

Intelligent Forecasting for demand planning

An insurance company performs demand forecasting in its various business units and reduces forecasting errors.

Read more

Anomaly detection through Data Lake and Fraud Detector

An important insurance company in Mexico detects anomalies and prevents actions with a probability of being fraudulent.

Read more

Application of multivariate models to improve delinquency and loss

Improvement of delinquency and loss indicators through the application of multivariate models that analyze different aspects of clients.

Read more

Detection and correction of fraud using Fraud Detector

Fraud prevention using a machine learning model created by Nubiral: Fraud Detector.

Read more

Connect

Blog

Microsoft Fabric and Power BI Copilot: the power of data to the extreme

These two integrated tools make it easier to obtain the maximum possible value throughout the entire data lifecycle.

Read more
eBooks

MLOps: powering the value of machine learning

A comprehensive guide to MLOps, a key discipline that guarantees the success of Machine Learning (ML) projects in organizations.

Read more
Papers

Trends 2024: Start getting value from generative AI

Over the next 12 months, we will witness an incremental adoption of generative AI, higher levels of maturity and new use cases.

Read more
Whitepapers

Microsoft Fabric Guide: Use case end-to-end Deployment

Banks and financial services companies can benefit in numerous ways by deploying Microsoft Fabric.

Read more

Hybrid
Multi Cloud

General Info

Learn about our architecture that combines at least one public and one private cloud to deliver the highest levels of scalability, flexibility, and performance.

Success Stories

Application modernization by migrating to the AWS cloud

Migration to the AWS Cloud at Telecom Argentina, modernizing obsolete applications with a focus on operational excellence.

Read more

Modernization of multimedia content with AWS Migration

Successful migration to AWS cloud to modernize Claro Video’s multimedia content infrastructure.

Read more

Migration to AWS by a major Japanese automobile company

The smooth migration of Toyota to AWS unleashes performance, cost efficiency, and user satisfaction.

Read more

An important logistics company migrates its systems to AWS

OCA Argentina relies on legacy systems with limited cloud integration, so it modernized its technology by migrating to AWS.

Read more

Connect

Blog

5 benefits of serverless architectures

Higher levels of scalability and an absolute focus on digital business transformation, are just some of the many advantages of this model.

Read more
eBooks

Cloud 4.0: A phenomenon in exponential growth

A tour of the main opportunities that arise from a correct and timely migration of workloads to the cloud, and the trends that are being visualized in the cloud universe.

Read more
Papers
04 October , 2022

Cloud 4.0: A phenomenon in exponential growth

A tour of the main opportunities that arise from a correct and timely migration of workloads to the cloud, and the trends that are being visualized in the cloud universe.

Read more

DevOps
& App Evolution

General Info

Application migration, optimization, efficiency, security, analytics and implementation services, with the aim of simplifying and accelerating the adoption of the latest IT trends in the market.

Solutions

Planning and Consulting

  • Evaluation and Planning
  • Adoption Strategy Consultancy

Test

  • Test Automation

Execution

  • Design and implementation of CI/CD Pipeline
  • Automation and implementation of processes

App Dev

  • Code (JavaScript, Go, Python)

Success Stories

Telecommunications modernization with AWS technologies

A leading telecommunications company modernizes its applications to respond more quickly and agilely to market changes.

Read more

App Modernization in Telecommunications and Entertainment

A prominent telecommunications and entertainment company achieved billing app availability levels of 99.95% in Colombia.

Read more

Azure Governance & App Modernization

A leading telecommunications and entertainment company achieved application billing availability levels of 99.95%.

Read more

Migration deployment of Core Banking hosted in the AWS cloud

Fintech deploys the Core Banking of its platform allowing the integration of new services in an effective and easy way.

Read more

Connect

Blog

The importance of containers in modernization

A way to lower costs, generate efficiency and accelerate transformation when migrating legacy systems or upgrading applications.

Read more
eBooks

Agile & DevOps

A review of the meanings of each of these concepts, how they integrate with each other and what benefits they bring.

Read more

Monitoring
& Intelligence

General Info

As ZABBIX Certified Partners, we scale to environments with thousands of items monitored simultaneously.
We also capture data of systems and applications over time to make proactive decisions and to anticipate disruptions in business services.

Solutions

  • Zabbix Architecture and Implementation
  • Data & Analytics Monitoring

Success Stories

Monitoring solution upgrade using Zabbix

Migration of monitoring tool to an automated system for host discovery, dashboards, and scalability over time.

Read more

Telephone exchange monitoring, usage metrics, and channels

Monitoring of AVAYA phone system through the implementation of Zabbix, executing the only method of information extraction via telnet manager.

Read more

Implementation of monitoring solution with Zabbix

A leading payment solutions company implements a new automated monitoring platform equipped with a real-time messaging alert system for incident prevention.

Read more

IT Resource Monitoring Platform

Monitoring & Intelligence | Insurance | Zabbix IT Resource Monitoring Platform Integration of Zabbix with the VMWare solution and monitoring of PABX trunk lines from providers, UPS equipment, and Chillers....
Read more

Connect

Blog

System Monitoring: the 5 most anticipated features for Zabbix 6.4

System monitoring is a critical task for any company that wants to make sure its systems are working properly. What’s new in the 6.4 version of Zabbix?

Read more
eBooks

Compliance: the evolution of monitoring

A key paradigm for anticipating and solving problems in increasingly complex IT infrastructures.

Read more
Whitepapers

OpenSearch and its log agents

OpenSearch is a comprehensive solution for centralizing and analyzing logs from various sources, ideal for managing complex IT scenarios.

Read more

Cybersecurity

General Info

We help innovate by preparing our clients against current cyber threats.

We fulfill the responsibility of protecting data to maintain trust and comply with regulations.

Solutions

  • Cloud Assessment & Consulting
  • Security Frameworks & Best Practices
  • Penetration Testing
  • Cloud Security
  • DevSecOps

Connect

Blog

Cybersecurity: Key Pillar for a 360º Digital Experience

To mitigate the risks associated with cyberattacks and protect data is essential to survive and lead in the era of digital transformation.

Read more

Partners

Solutions

AWS + Nubiral

As an Advanced Consulting Partner of the AWS Partner Network, we think outside the box, daring to go where no one has gone before.
We constantly challenge ourselves to be better, providing your company with AWS solutions in a holistic and tailored way.

Microsoft + Nubiral

As Cloud Gold Partner, we work together with Microsoft every day to offer our clients the most innovative solutions based on the different microservices and capabilities that the Azure cloud offers.
Our team is constantly training and certifying on Azure’s services.

Zabbix + Nubiral

As ZABBIX Certified Partners, we scale to environments with thousands of items monitored simultaneously.
We also capture data of systems and applications over time to make proactive decisions and to anticipate disruptions in business services.

Success Stories

Intelligent Forecasting for process automation

Solution enabling the automation of demand planning processes across various business units within the company.

Read more

A medical center implements a chatbot and cognitive services

Improvement in patient care times and reduction in administrative staff dedication costs for routine tasks.

Read more

Monitoring solution upgrade using Zabbix

Migration of monitoring tool to an automated system for host discovery, dashboards, and scalability over time.

Read more

Connect

Blog

Blog

16 April , 2024

Microsoft Fabric and Power BI Copilot: the power of data to the extreme

These two integrated tools make it easier to obtain the maximum possible value throughout the entire data lifecycle.

Leer más
08 April , 2024

AI First: more investment, more opportunities

One study revealed that the more experience companies gain using AI, the more use cases they develop.

Leer más
06 April , 2024

Cybersecurity: Key Pillar for a 360º Digital Experience

To mitigate the risks associated with cyberattacks and protect data is essential to survive and lead in the era of digital transformation.

Leer más
03 April , 2024

AI-powered Conversational Assistants

Innovación que revoluciona la interacción con los usuarios aprovechando el poder de los modelos de lenguaje conocidos como LLM.

Leer más

eBooks & Papers

eBooks & Papers

07 December , 2023

MLOps: powering the value of machine learning

A comprehensive guide to MLOps, a key discipline that guarantees the success of Machine Learning (ML) projects in organizations.

Leer más

DataOps: everyone plays their own game

Discover how this discipline provides a framework and tools to align the engineering and analytics teams to improve the management of the data ecosystem in the organization.

Leer más
29 August , 2023

GenAI Services: A land of opportunity for organizations.

The new user-friendly way to adopt generative artificial intelligence to power business.

Leer más
01 August , 2023

Intelligent Document Processing

Converting contained data into business-valuable documents. The power of combining document management and artificial intelligence.

Leer más

Connect+

Connect+

Connect+ is a great tool to incorporate knowledge and stay up to date with the latest technological developments.

Access new innovative audiovisual content, quickly and easily. Explore and get to know the technological universe in a different and agile way!

23 April , 2024

Ciberseguridad en tu empresa: la solución digital 360º de Nubiral

Cómo se desarrolla un plan de ciberseguridad, cuáles son las principales amenazas y las tecnologías más modernas para enfrentarlas.

Leer más
18 April , 2024

Las claves para comenzar con un desarrollo cloud native

Cómo construir aplicaciones para obtener el máximo provecho de los beneficios que propone la nube.

Leer más
16 April , 2024

Microsoft Fabric and Power BI Copilot: the power of data to the extreme

These two integrated tools make it easier to obtain the maximum possible value throughout the entire data lifecycle.

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11 April , 2024

Fine-tuning en Generative AI: el potencial de tus datos, al máximo

El fine-tuning en Generative AI es un proceso que permite personalizar modelos fundacionales preentrenados y ajustarlo a los datos específicos de una organización.

Leer más

Whitepapers

Whitepapers

08 April , 2024

Microsoft Fabric Guide: Use case end-to-end Deployment

Banks and financial services companies can benefit in numerous ways by deploying Microsoft Fabric.

Leer más
25 October , 2023

How to Deploy Microsoft Fabric in Multicloud Infrastructures

Microsoft Fabric’s data analytics combined with the power of the multi-cloud architecture, drives decision making and empowers users.

Leer más
08 October , 2023

OpenSearch and its log agents

OpenSearch is a comprehensive solution for centralizing and analyzing logs from various sources, ideal for managing complex IT scenarios.

Leer más
04 October , 2023

AI-based conversational assistant

Step by step, from the requirements request to the continuous improvement, how to develop a conversational assistant based on artificial intelligence.

Leer más
Whitepapers

Best practices for implementation of IT monitoring systems

Implementing an IT monitoring system is essential to ensure that an organization’s system is working properly, and to detect problems in time.

1. Brief introduction: what is a monitoring system for?

As technology professionals, we know that implementing an IT monitoring system is essential to ensure that an organization’s system is working properly, and to detect problems in time.  

2. The importance of properly defining the objectives of a monitoring system

Defining the objectives of the monitoring system is crucial to ensure that the right data is collected and analyzed to improve the organization’s efficiency. Objectives include: 

  • Early detection of problems.
  • Reduction of downtime.
  • Increased efficiency.
  • Informed decision making based on data.

One of the biggest mistakes organizations make when implementing an IT monitoring system is not setting clear objectives. This leads to problems such as:

  • Inadequate data collection. It is difficult to determine what data is relevant and necessary, so you end up collecting a large amount of useless data for analysis, which in turn leads to information overload and increased complexity in system management.
  • Difficulty in prioritizing problems. Tt becomes complex to identify which problems are most important and should be prioritized. Thus, other low-priority problems are addressed while the critical ones that can seriously affect the performance and availability of services are ignored.
  • Inefficiency in the use of monitoring resources.
  • Lack of alignment with business objectives. This renders the system irrelevant to the organization and detracts from stakeholder support and commitment.
  • Difficulty in justifying the investment. This results in a lack of funds and resources, which in turn can limit its effectiveness.

To properly define the objectives of the IT monitoring system, it is recommended to follow an analysis process that involves all stakeholders, including IT and business teams. It should also include the monitoring requirements, the definition of key performance indicators (KPIs), the risk evaluation and the setting of business objectives.

The objectives should be specific, measurable, achievable, relevant and time-bound (SMART). In addition, it is advisable to establish a periodic monitoring and evaluation plan to ensure that the objectives are being achieved, or if not, to be able to make the necessary adjustments.

3. Scope of the monitoring system

The scope of the IT monitoring system refers to the IT components and services that will be monitored, as well as the users and equipment that will have access to the system.

One of the main cons of not clearly defining the scope is the risk of overloading the system with unnecessary information or monitoring components or services that are not critical to the business, which can generate confusion and increase complexity. It can also lead to security problems, as it could allow access to sensitive information to unauthorized users.

Another negative consequence is the lack of accuracy in identifying and solving problems, since the critical infrastructure and services that directly affect the availability and performance of business services are not being monitored.

To define the scope of the monitoring system it is recommended to:

  • Identify the critical IT components and services that are essential to the business.
  • Define the business objectives that the monitoring system should support.
  • Establish access rules and permissions for users and equipment.
  • Determine the levels of alert and response for each monitored component or service.
  • Define the monitoring intervals and the data to be collected.
  • Establish an escalation policy to ensure that problems are reported and resolved in a timely manner.
  • Establish a data retention policy.

It is important to involve the business and IT teams in this process to ensure that all critical components and services are included in the scope.

4. Security requirements of the monitoring system

Considering security is key when planning the implementation of an IT monitoring system. Security requirements may include data protection and user privacy. It is important to ensure that the system meets the organization’s security requirements and is protected against external threats. IT monitoring systems are designed to collect and analyze critical infrastructure and application data, which makes them an attractive target for attackers. Therefore, it is essential that it is resilient and secure.

The consequences of not being resilient and secure can be severe for the organization. It risks compromising the confidentiality, integrity and availability of monitoring data and exposing critical and sensitive information, with all that implies in terms of impact on the organization’s reputation, loss of revenue and other business risks.

To achieve the appropriate security requirements for an IT monitoring system, it is recommended to:

  • Identify security risks. This encompasses unauthorized access, tampering and interception of monitoring data during transit. By recognizing such risks, measures can be implemented to mitigate them effectively.
  • Implement access control mechanisms. These include assigning roles and permissions, authenticating users, and restricting access to only those users who need it.
  • Ensure the security of monitoring data. This is achieved through encryption in both transmission and storage, which prevents unauthorized interception and manipulation.
  • Establish a data retention policy. It contemplates the definition of aspects such as the time and types to be stored and the security requirements to do so.

5. Monitoring tools

When selecting monitoring tools, emphasis should be placed on their ability to collect the necessary data and analyze them effectively to detect any problems. In addition, they should be scalable and capable of handling the complexity of the organization’s infrastructure.

To achieve a successful selection of monitoring tools, it is recommended to:

  • Identify the monitoring requirements, including the critical systems and applications that need monitoring, the key performance indicators, and the scalability and flexibility requirements.
  • Evaluate the monitoring tools available on the market against the requirements. Among other aspects, the ability to monitor infrastructure and applications, integration with other IT systems, and ease of use and configuration.
  • Perform proof-of-concept testing prior to implementation. Help identify potential interoperability issues and ensure that the tool conforms to established requirements.
  • Consider acquisition, configuration and maintenance costs. 

6. Alerting and troubleshooting procedures in a monitoring system

Establishing clear procedures for alert management and problem resolution, such as including the designation of a team responsible for managing the monitoring system, ensures that problems are resolved effectively and in the shortest possible time.

Proper procedures guarantee that problems are identified and solved in a timely manner, which minimizes downtime and reduces the costs associated with problem resolution. 

Best practices for successful alerting and troubleshooting procedures:

  • Establish alert thresholds for key performance indicators (KPIs) being monitored. They should be defined at levels that allow problems to be detected before they become critical. It is important that they are reviewed and adjusted regularly to keep them relevant and effective.
  • Define priority levels for alerts. They should be based on the severity of the problem and the number of users affected and be set according to the service level agreement (SLA). In this way, critical issues are addressed in a timely manner.
  • Define responsibilities of IT team members in problem resolution. Everyone should know who is responsible for which tasks and how relevant information will be communicated. In this way, problems are solved in a timely manner and relevant information is shared with stakeholders.
  • Establish escalation procedures. They indicate how information should be communicated, who should be contacted and when. They should be based on previously defined priority levels.
  • Automate the problem resolution process. This speeds up problem resolution and reduces associated costs. It includes generating support tickets, assigning tasks to IT team members and communicating updates to end users.

7. Integration of the monitoring system with other systems

Integration of the monitoring system with other systems in the organization may be necessary for more effective data management. For example, in the case of incident management or asset management systems, it can help detect problems and solve them more efficiently.

In addition, integration significantly improves the efficiency and effectiveness of IT monitoring. It is important to select the tools and systems to be integrated to ensure that the integration is effective and secure.

One option is through native integrations. They are provided by the monitoring tool vendor and were designed and tested to work with the target system. They are usually easy to configure and allow users to obtain accurate, real-time data from the target system. In addition, they are usually more secure than non-native ones, as they were thoroughly tested prior to release.

Non-native integrations are done via APIs, scripts or custom connectors. While they usually work well, they sometimes present some challenges. They can also be more difficult to configure, require advanced technical knowledge, or create compatibility and security issues.

When planning system integration, it is recommended to prioritize native integrations. If one is not available, non-native integration should be done with the help of a subject matter expert, including extensive testing prior to implementation in a production environment.

8. Staff training: who is in charge of the monitoring system?

It is essential to train the staff responsible for managing the monitoring system. They should be familiar with the system and know how to use it to ensure that data are collected and analyzed effectively. 

This training also ensures that the tool is used correctly and efficiently and that the right actions are taken if a problem occurs.

Users better understand how to use the tools and how to interpret the data collected to make smart decisions and solve problems in a timely manner. It also increases user satisfaction as they feel more confident and satisfied with their work. This increases productivity and employee retention.

Training requires an investment of considerable time and resources, including the need for employees to take time off from their regular work to attend sessions, which can temporarily affect productivity. 

The associated costs, such as training staff salaries, materials and technology involved, can be significant.

Another disadvantage is that some employees may resist training. Some may feel it is an unnecessary disruption to their regular work or have difficulty adapting to new tools and processes. It is important to address these concerns and motivate employees to train.

Starting training early in the implementation process helps reduce resistance to change and creates more comfort for employees. In addition, it is important to provide easily accessible training formats, such as online training or video tutorials.

9. Testing and validation of the monitoring system

Before implementing the monitoring system, a series of extensive tests are performed to verify that it works properly. They should include realistic usage scenarios and a complete validation of the system.

The advantages of properly addressing this point are:

  • Problems or errors are identified and corrected before the system is used in production, which decreases the possibility of critical failures that affect the performance of the infrastructure.
  • It ensures that the requirements defined in the planning and compliance with the objectives of the monitoring system are met.
  • If thorough testing is not performed, the system may suffer from problems or errors that were not detected in the development stage, which could lead to a service interruption or even a total system failure, resulting in data loss, downtime and a decrease in user productivity.

To address this point successfully, it is necessary to establish a detailed test plan that addresses all relevant aspects of the system, including integration with other systems and applications. It is important to test different scenarios from the user’s point of view to evaluate whether the system responds in high-demand or critical failure situations.

A key recommendation: have a dedicated and trained test team, which executes the necessary tests and documents the results in a clear and concise manner. It is also advisable to include automated testing to speed up the process and reduce human error.

10. Continuous evaluation of the monitoring system

A process of continuous evaluation of the monitoring system identifies possible improvements and refers to the need for periodic reviews to verify that it continues to meet its objectives and to detect any possible failures or improvements. In other words, it is essential to ensure the long-term effectiveness and success of the monitoring system.

The lack of continuous evaluation generates the risk of serious consequences such as: 

  • Decrease in the effectiveness of the monitoring system. IT systems are dynamic and constantly changing, which means that monitoring requirements need to be modified at the same pace.
  • Increased maintenance costs. If problems and areas for improvement are not identified early, they can become major problems that require a greater investment of time and resources to fix. 
  • Decreased confidence in the monitoring system. If the system is not updated and improved over time, users and administrators may lose confidence in its ability to detect and fix problems. This can lead to lower usage and, therefore, a decrease in the effectiveness of IT management in general.

11. Conclusions on the importance of the monitoring system

  • The monitoring system is a key part of ensuring that corporate systems function properly and also for anticipating problems.
  • Precisely defining the monitoring objectives is crucial for collecting and analyzing the right data and achieving the expected efficiency.
  • It is also fundamental to establish the scope: which IT components and services will be monitored and who will have access to the system.
  • The company needs to select the monitoring tool that best suits its needs and ensure that security requirements are met to protect critical data.
  • The next step is to establish clear procedures for alert management and problem resolution, including designating a team and a chain of responsibility for solving problems effectively and in the shortest possible time.
  • Extensive testing should be performed to verify that the system is working properly when it goes into production and, after that, evaluate it on an ongoing basis to ensure that it adapts to changes and new requirements.
Best practices for the successful implementation of IT monitoring systems

 

  1. Brief introduction: what is a monitoring system for?

As technology professionals, we know that implementing an IT monitoring system is essential to ensure that an organization’s system is working properly, and to detect problems in time.   

  1. The importance of properly defining the objectives of a monitoring system

Defining the objectives of the monitoring system is crucial to ensure that the right data is collected and analyzed to improve the organization’s efficiency. Objectives include: 

  • Early detection of problems.
  • Reduction of downtime.
  • Increased efficiency.
  • Informed decision making based on data.

One of the biggest mistakes organizations make when implementing an IT monitoring system is not setting clear objectives. This leads to problems such as:

  • Inadequate data collection: it is difficult to determine what data is relevant and necessary, so you end up collecting a large amount of useless data for analysis, which in turn leads to information overload and increased complexity in system management.
  • Difficulty in prioritizing problems: it becomes complex to identify which problems are most important and should be prioritized. Thus, other low-priority problems are addressed while the critical ones that can seriously affect the performance and availability of services are ignored.
  • Inefficiency in the use of monitoring resources. 
  • Lack of alignment with business objectives. This renders the system irrelevant to the organization and detracts from stakeholder support and commitment.
  • Difficulty in justifying the investment. This results in a lack of funds and resources, which in turn can limit its effectiveness.

To properly define the objectives of the IT monitoring system, it is recommended to follow an analysis process that involves all stakeholders, including IT and business teams. It should also include the monitoring requirements, the definition of key performance indicators (KPIs), the risk evaluation and the setting of business objectives.

The objectives should be specific, measurable, achievable, relevant and time-bound (SMART). In addition, it is advisable to establish a periodic monitoring and evaluation plan to ensure that the objectives are being achieved, or if not, to be able to make the necessary adjustments.

  1. Scope of the monitoring system

The scope of the IT monitoring system refers to the IT components and services that will be monitored, as well as the users and equipment that will have access to the system.

One of the main cons of not clearly defining the scope is the risk of overloading the system with unnecessary information or monitoring components or services that are not critical to the business, which can generate confusion and increase complexity. It can also lead to security problems, as it could allow access to sensitive information to unauthorized users.

Another negative consequence is the lack of accuracy in identifying and solving problems, since the critical infrastructure and services that directly affect the availability and performance of business services are not being monitored.

To define the scope of the monitoring system it is recommended to:

  • Identify the critical IT components and services that are essential to the business.
  • Define the business objectives that the monitoring system should support.
  • Establish access rules and permissions for users and equipment.
  • Determine the levels of alert and response for each monitored component or service.
  • Define the monitoring intervals and the data to be collected.
  • Establish an escalation policy to ensure that problems are reported and resolved in a timely manner.
  • Establish a data retention policy.

It is important to involve the business and IT teams in this process to ensure that all critical components and services are included in the scope.

  1. Security requirements of the monitoring system

Considering security is key when planning the implementation of an IT monitoring system. Security requirements may include data protection and user privacy. It is important to ensure that the system meets the organization’s security requirements and is protected against external threats. IT monitoring systems are designed to collect and analyze critical infrastructure and application data, which makes them an attractive target for attackers. Therefore, it is essential that it is resilient and secure.

The consequences of not being resilient and secure can be severe for the organization. It risks compromising the confidentiality, integrity and availability of monitoring data and exposing critical and sensitive information, with all that implies in terms of impact on the organization’s reputation, loss of revenue and other business risks.

To achieve the appropriate security requirements for an IT monitoring system, it is recommended to:

  • Identify security risks. This encompasses unauthorized access, tampering and interception of monitoring data during transit. By recognizing such risks, measures can be implemented to mitigate them effectively.
  • Implement access control mechanisms. These include assigning roles and permissions, authenticating users, and restricting access to only those users who need it.
  • Ensure the security of monitoring data. This is achieved through encryption in both transmission and storage, which prevents unauthorized interception and manipulation.
  • Establish a data retention policy. It contemplates the definition of aspects such as the time and types to be stored and the security requirements to do so.
  1. Monitoring tools

When selecting monitoring tools, emphasis should be placed on their ability to collect the necessary data and analyze them effectively to detect any problems. In addition, they should be scalable and capable of handling the complexity of the organization’s infrastructure.

To achieve a successful selection of monitoring tools, it is recommended to:

  • Identify the monitoring requirements, including the critical systems and applications that need monitoring, the key performance indicators, and the scalability and flexibility requirements.
  • Evaluate the monitoring tools available on the market against the requirements. Among other aspects, the ability to monitor infrastructure and applications, integration with other IT systems, and ease of use and configuration.
  • Perform proof-of-concept testing prior to implementation. Help identify potential interoperability issues and ensure that the tool conforms to established requirements.
  • Consider acquisition, configuration and maintenance costs. 
  1. Alerting and troubleshooting procedures in a monitoring system

Establishing clear procedures for alert management and problem resolution, such as including the designation of a team responsible for managing the monitoring system, ensures that problems are resolved effectively and in the shortest possible time.

Proper procedures guarantee that problems are identified and solved in a timely manner, which minimizes downtime and reduces the costs associated with problem resolution. 

Best practices for successful alerting and troubleshooting procedures:

  • Establish alert thresholds for key performance indicators (KPIs) being monitored. They should be defined at levels that allow problems to be detected before they become critical. It is important that they are reviewed and adjusted regularly to keep them relevant and effective.
  • Define priority levels for alerts. They should be based on the severity of the problem and the number of users affected and be set according to the service level agreement (SLA). In this way, critical issues are addressed in a timely manner.
  • Define responsibilities of IT team members in problem resolution. Everyone should know who is responsible for which tasks and how relevant information will be communicated. In this way, problems are solved in a timely manner and relevant information is shared with stakeholders.
  • Establish escalation procedures. They indicate how information should be communicated, who should be contacted and when. They should be based on previously defined priority levels.
  • Automate the problem resolution process. This speeds up problem resolution and reduces associated costs. It includes generating support tickets, assigning tasks to IT team members and communicating updates to end users.
  1. Integration of the monitoring system with other systems

Integration of the monitoring system with other systems in the organization may be necessary for more effective data management. For example, in the case of incident management or asset management systems, it can help detect problems and solve them more efficiently.

In addition, integration significantly improves the efficiency and effectiveness of IT monitoring. It is important to select the tools and systems to be integrated to ensure that the integration is effective and secure.

One option is through native integrations. They are provided by the monitoring tool vendor and were designed and tested to work with the target system. They are usually easy to configure and allow users to obtain accurate, real-time data from the target system. In addition, they are usually more secure than non-native ones, as they were thoroughly tested prior to release.

Non-native integrations are done via APIs, scripts or custom connectors. While they usually work well, they sometimes present some challenges. They can also be more difficult to configure, require advanced technical knowledge, or create compatibility and security issues.

When planning system integration, it is recommended to prioritize native integrations. If one is not available, non-native integration should be done with the help of a subject matter expert, including extensive testing prior to implementation in a production environment.

  1. Staff training: who is in charge of the monitoring system?

It is essential to train the staff responsible for managing the monitoring system. They should be familiar with the system and know how to use it to ensure that data are collected and analyzed effectively. 

This training also ensures that the tool is used correctly and efficiently and that the right actions are taken if a problem occurs.

Users better understand how to use the tools and how to interpret the data collected to make smart decisions and solve problems in a timely manner. It also increases user satisfaction as they feel more confident and satisfied with their work. This increases productivity and employee retention.

Training requires an investment of considerable time and resources, including the need for employees to take time off from their regular work to attend sessions, which can temporarily affect productivity. 

The associated costs, such as training staff salaries, materials and technology involved, can be significant.

Another disadvantage is that some employees may resist training. Some may feel it is an unnecessary disruption to their regular work or have difficulty adapting to new tools and processes. It is important to address these concerns and motivate employees to train.

Starting training early in the implementation process helps reduce resistance to change and creates more comfort for employees. In addition, it is important to provide easily accessible training formats, such as online training or video tutorials.

  1. Testing and validation of the monitoring system

Before implementing the monitoring system, a series of extensive tests are performed to verify that it works properly. They should include realistic usage scenarios and a complete validation of the system.

The advantages of properly addressing this point are:

  • Problems or errors are identified and corrected before the system is used in production, which decreases the possibility of critical failures that affect the performance of the infrastructure.
  • It ensures that the requirements defined in the planning and compliance with the objectives of the monitoring system are met.
  • If thorough testing is not performed, the system may suffer from problems or errors that were not detected in the development stage, which could lead to a service interruption or even a total system failure, resulting in data loss, downtime and a decrease in user productivity.

To address this point successfully, it is necessary to establish a detailed test plan that addresses all relevant aspects of the system, including integration with other systems and applications. It is important to test different scenarios from the user’s point of view to evaluate whether the system responds in high-demand or critical failure situations.

A key recommendation: have a dedicated and trained test team, which executes the necessary tests and documents the results in a clear and concise manner. It is also advisable to include automated testing to speed up the process and reduce human error.

  1. Continuous evaluation of the monitoring system

A process of continuous evaluation of the monitoring system identifies possible improvements and refers to the need for periodic reviews to verify that it continues to meet its objectives and to detect any possible failures or improvements. In other words, it is essential to ensure the long-term effectiveness and success of the monitoring system.

The lack of continuous evaluation generates the risk of serious consequences such as: 

  • Decrease in the effectiveness of the monitoring system. IT systems are dynamic and constantly changing, which means that monitoring requirements need to be modified at the same pace.
  • Increased maintenance costs. If problems and areas for improvement are not identified early, they can become major problems that require a greater investment of time and resources to fix. 
  • Decreased confidence in the monitoring system. If the system is not updated and improved over time, users and administrators may lose confidence in its ability to detect and fix problems. This can lead to lower usage and, therefore, a decrease in the effectiveness of IT management in general.
  1. Conclusions on the importance of the monitoring system
  • The monitoring system is a key part of ensuring that corporate systems function properly and also for anticipating problems.
  • Precisely defining the monitoring objectives is crucial for collecting and analyzing the right data and achieving the expected efficiency.
  • It is also fundamental to establish the scope: which IT components and services will be monitored and who will have access to the system.
  • The company needs to select the monitoring tool that best suits its needs and ensure that security requirements are met to protect critical data.
  • The next step is to establish clear procedures for alert management and problem resolution, including designating a team and a chain of responsibility for solving problems effectively and in the shortest possible time.
  • Extensive testing should be performed to verify that the system is working properly when it goes into production and, after that, evaluate it on an ongoing basis to ensure that it adapts to changes and new requirements.

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