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.

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
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

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.

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
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

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

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
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

Best practices for implementation of IT monitoring systems

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

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

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

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

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

Read more

AI-powered Conversational Assistants

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

Read more

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

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.

Read more

GenAI Services: A land of opportunity for organizations.

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

Read more

Intelligent Document Processing

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

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

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

Read more

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.

Read more

Best practices for implementation of IT monitoring systems

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

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

Best practices for implementation of IT monitoring systems

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

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.

Leer más
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
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
14 September , 2023

Best practices for implementation of IT monitoring systems

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

Leer más
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.

1. Brief introduction: the importance of logs

In a technology-driven digital world, the logs generated by systems, applications and services have become a vital source of information.

As organizations grow and diversify their infrastructure, managing and analyzing these logs efficiently can become a daunting challenge.

It is in this scenario that OpenSearch emerges: a comprehensive solution that enables the centralization and analysis of logs from various sources. OpenSearch is a tool that supports observability: an evolution of monitoring that allows users to efficiently manage complex IT infrastructures.

In this guide we will explore how to achieve this centralization using OpenSearch’s specialized agents.

2. Fundamentals: What is OpenSearch?

OpenSearch is an open source, community-based, Apache 2.0 licensed search and analysis suite.

It is used for a wide range of needs, including real-time application monitoring, log analysis, and web site search. 

It provides a highly scalable system for quick access and response to large volumes of data. Its integrated visualization tool, OpenSearch Dashboards, facilitates data analysis by users. 

In addition, OpenSearch is powered by the Apache Lucene search library and supports a variety of search and analysis capabilities. These include k-nearest neighbor (KNN) search, SQL, anomaly detection and Machine Learning Commons. Also, crawl analysis or full text search.

3. What are logs and why is centralization important?

Logs are text files that contain chronological information about changes or events in an application. It does not matter whether there are normal behavior or errors: these files are recorded for later analysis.

It is an idea that seemed to be under control for many years and that has recently gone overboard. This was due to the increase in the number of applications and technologies such as Docker and Kubernetes.

The result? The number of logs grew – and continues to grow – exponentially.

In this context, centralizing them offers advantages such as simplified administration, early detection of problems and the possibility of performing a comprehensive analysis. Opensearch allows us to collect logs and process them so they can be queried and analyzed by machine learning tools.

For all this to happen, an agent that transforms this “raw” data into data that can be queried is needed. In this way, users obtain the information that allows them to understand what is happening in each of their applications.

4. Types of agents and their uses

OpenSearch and AWS provide specialized agents for collecting and sending logs from various sources. These are optimized for different types of data and sources. Some of them are:

  • Amazon Kinesis Data Streams. Serverless streaming data service that simplifies the capture, processing and storage of data streams at any scale.
  • AWS Services Logs. Allows ingesting logs produced by AWS within the OpenSearch service.
  • Beats OSS. A set of agents designed to read logs from files on servers and send them to OpenSearch. It is useful for collecting logs from applications and operating systems.

5. Log collection and processing

Once configured, the agents start collecting logs and metrics according to the set configuration. Additionally, they can perform parsing and normalization to extract relevant information from the logs, such as dates, criticality levels or specific details.

In general, logs can be generated in different formats, such as single-line text, multi-line text, JSON or Syslog, among others.

6. Indexing and analysis in OpenSearch

The creation of indexes and schemas allows to define how the logs will be indexed in OpenSearch, including the field structure and the types of analysis to be applied.

Then, the logs sent by the agents are processed, indexed and stored in OpenSearch according to the defined configuration.

7. Search, visualization and alerts

Once the ingestion is done, OpenSearch, through OpenSearch Dashboard, applies filters and queries allowing users to find specific information related to the problem that is needed to be analyzed.

The integrated tools can also be used to create graphs and visualizations from the log data, or configure alerts in OpenSearch to receive notifications when certain predefined conditions are met.

 

8. Intelligent log extraction

A cloud infrastructure administrator for a critical application has an ally in OpenSearch.

First, because it allows users to collect and store the logs and metrics of their server instances, databases and other resources.

Then, by implementing artificial intelligence algorithms it is possible to detect out-of-range patterns, such as excessive resource usage, and trigger alerts in OpenSearch enabling automated decisions to automatically scale or adjust cloud resources.

AI and Generative AI applied on the logs stored in OpenSearch allow anomalies to be detected and problems in systems and applications to be predicted. Algorithms identify unusual patterns in logs and alert on potential problems or unauthorized changes.

AI can also predict failures by analyzing log histories, enabling preventive measures. With natural language processing, it can automatically classify incidents and even improve log understanding.

Moreover, the generative component of these models is capable of generating synthetic data for testing and analysis, which will be used to simulate critical situations in the infrastructure and evaluate how it responds.

9. Conclusions

To sum up, the combination of observability technologies with AI and generative AI increases the organization’s ability to keep IT events managed and secure.

In this context, OpenSearch creates a complete system that in addition to extracting and storing logs, allows users to make smart decisions or have a proactive response to changing situations, which is key to improving operational efficiency and business responsiveness to technical challenges.

Our team of experts is available to answer questions or expand any aspect related to OpenSearch and its log agents, learn more!

Whitepaper: OpenSearch and its log agents

 

1. Brief introduction: the importance of logs

In a technology-driven digital world, the logs generated by systems, applications and services have become a vital source of information.

As organizations grow and diversify their infrastructure, managing and analyzing these logs efficiently can become a daunting challenge.

It is in this scenario that OpenSearch emerges: a comprehensive solution that enables the centralization and analysis of logs from various sources. OpenSearch is a tool that supports observability: an evolution of monitoring that allows users to efficiently manage complex IT infrastructures.

In this guide we will explore how to achieve this centralization using OpenSearch’s specialized agents.

 

2. Fundamentals: What is OpenSearch?

OpenSearch is an open source, community-based, Apache 2.0 licensed search and analysis suite.

It is used for a wide range of needs, including real-time application monitoring, log analysis, and web site search. 

It provides a highly scalable system for quick access and response to large volumes of data. Its integrated visualization tool, OpenSearch Dashboards, facilitates data analysis by users. 

In addition, OpenSearch is powered by the Apache Lucene search library and supports a variety of search and analysis capabilities. These include k-nearest neighbor (KNN) search, SQL, anomaly detection and Machine Learning Commons. Also, crawl analysis or full text search.

 

3. What are logs and why is centralization important?

Logs are text files that contain chronological information about changes or events in an application. It does not matter whether there are normal behavior or errors: these files are recorded for later analysis.

It is an idea that seemed to be under control for many years and that has recently gone overboard. This was due to the increase in the number of applications and technologies such as Docker and Kubernetes.

The result? The number of logs grew – and continues to grow – exponentially.

In this context, centralizing them offers advantages such as simplified administration, early detection of problems and the possibility of performing a comprehensive analysis. Opensearch allows us to collect logs and process them so they can be queried and analyzed by machine learning tools.

For all this to happen, an agent that transforms this “raw” data into data that can be queried is needed. In this way, users obtain the information that allows them to understand what is happening in each of their applications.

 

4. Types of agents and their uses

OpenSearch and AWS provide specialized agents for collecting and sending logs from various sources. These are optimized for different types of data and sources. Some of them are:

  • Amazon Kinesis Data Streams. Serverless streaming data service that simplifies the capture, processing and storage of data streams at any scale.
  • AWS Services Logs. Allows ingesting logs produced by AWS within the OpenSearch service.
  • Beats OSS. A set of agents designed to read logs from files on servers and send them to OpenSearch. It is useful for collecting logs from applications and operating systems.

 

5. Log collection and processing

Once configured, the agents start collecting logs and metrics according to the set configuration. Additionally, they can perform parsing and normalization to extract relevant information from the logs, such as dates, criticality levels or specific details.

In general, logs can be generated in different formats, such as single-line text, multi-line text, JSON or Syslog, among others.

 

6. Indexing and analysis in OpenSearch

The creation of indexes and schemas allows to define how the logs will be indexed in OpenSearch, including the field structure and the types of analysis to be applied.

Then, the logs sent by the agents are processed, indexed and stored in OpenSearch according to the defined configuration.

 

8. Search, visualization and alerts

Once the ingestion is done, OpenSearch, through OpenSearch Dashboard, applies filters and queries allowing users to find specific information related to the problem that is needed to be analyzed.

The integrated tools can also be used to create graphs and visualizations from the log data, or configure alerts in OpenSearch to receive notifications when certain predefined conditions are met.

 

9. Intelligent log extraction

A cloud infrastructure administrator for a critical application has an ally in OpenSearch.

First, because it allows users to collect and store the logs and metrics of their server instances, databases and other resources.

Then, by implementing artificial intelligence algorithms it is possible to detect out-of-range patterns, such as excessive resource usage, and trigger alerts in OpenSearch enabling automated decisions to automatically scale or adjust cloud resources.

AI and Generative AI applied on the logs stored in OpenSearch allow anomalies to be detected and problems in systems and applications to be predicted. Algorithms identify unusual patterns in logs and alert on potential problems or unauthorized changes.

AI can also predict failures by analyzing log histories, enabling preventive measures. With natural language processing, it can automatically classify incidents and even improve log understanding.

Moreover, the generative component of these models is capable of generating synthetic data for testing and analysis, which will be used to simulate critical situations in the infrastructure and evaluate how it responds.

 

9. Conclusions

To sum up, the combination of observability technologies with AI and generative AI increases the organization’s ability to keep IT events managed and secure.

In this context, OpenSearch creates a complete system that in addition to extracting and storing logs, allows users to make smart decisions or have a proactive response to changing situations, which is key to improving operational efficiency and business responsiveness to technical challenges.

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