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.
Robotic Process Automation (RPA) and Artificial Intelligence that empower a rapid automation of end-to-end business processes and accelerate digital transformation.
Learn about our architecture that combines at least one public and one private cloud to deliver the highest levels of scalability, flexibility, and performance.
Modernization of SAP on AWS: Efficiency, control and scale for a leading automotive company
A renowned automotive company accelerated its digital transformation by migrating and modernizing its SAP S/4HANA environment on AWS, ensuring operational efficiency, scalability and cost savings.
Gobernanza cloud que garantiza rendimiento, seguridad y eficiencia en el mundo del streaming
En un entorno donde la experiencia del usuario es clave, una reconocida plataforma de streaming confió en Nubiral para optimizar sus operaciones en AWS y escalar de forma segura, continua y eficiente.
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.
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.
DevSecOps transformation: Speed, security and collaboration for modern development
A leading technology company modernized its development ecosystem with GitHub and Azure alongside Nubiral, reducing provisioning times and improving security.
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.
End-to-End data governance for cybersecurity operations
One of the leading banks in Chile utilizes the most advanced AWS services to work on the ingestion, storage, detection, and predictive models of data from cybersecurity intelligence sources.
Secure AI development: Higher value and lower business risk
All about this approach to developing and deploying AI while ensuring ethical, legal, data protection, information security and accountability principles.
The next major technological disruption is already underway: What should CEOs and business leaders know to avoid failures and capitalize on its potential?
Secure AI development: Higher value and lower business risk
All about this approach to developing and deploying AI while ensuring ethical, legal, data protection, information security and accountability principles.
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.
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.
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.
Nubiral and Diligent join to present a revolutionary solution that will transform the way organizations manage their GRC (Governance, Risk, and Compliance) processes.
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.
Robotic Process Automation (RPA) and Artificial Intelligence that empower a rapid automation of end-to-end business processes and accelerate digital transformation.
Learn about our architecture that combines at least one public and one private cloud to deliver the highest levels of scalability, flexibility, and performance.
Modernization of SAP on AWS: Efficiency, control and scale for a leading automotive company
A renowned automotive company accelerated its digital transformation by migrating and modernizing its SAP S/4HANA environment on AWS, ensuring operational efficiency, scalability and cost savings.
Gobernanza cloud que garantiza rendimiento, seguridad y eficiencia en el mundo del streaming
En un entorno donde la experiencia del usuario es clave, una reconocida plataforma de streaming confió en Nubiral para optimizar sus operaciones en AWS y escalar de forma segura, continua y eficiente.
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.
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.
DevSecOps transformation: Speed, security and collaboration for modern development
A leading technology company modernized its development ecosystem with GitHub and Azure alongside Nubiral, reducing provisioning times and improving security.
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.
End-to-End data governance for cybersecurity operations
One of the leading banks in Chile utilizes the most advanced AWS services to work on the ingestion, storage, detection, and predictive models of data from cybersecurity intelligence sources.
Secure AI development: Higher value and lower business risk
All about this approach to developing and deploying AI while ensuring ethical, legal, data protection, information security and accountability principles.
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.
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.
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.
Nubiral and Diligent join to present a revolutionary solution that will transform the way organizations manage their GRC (Governance, Risk, and Compliance) processes.
The next major technological disruption is already underway: What should CEOs and business leaders know to avoid failures and capitalize on its potential?
Secure AI development: Higher value and lower business risk
All about this approach to developing and deploying AI while ensuring ethical, legal, data protection, information security and accountability principles.
Observability solutions are becoming a critical tool for companies. It is nothing less than the intelligent evolution of monitoring. It offers a set of practices and tools to manage and control distributed and complex architectures.
In fact, it is already positioned as an ideal option for companies to anticipate and prevent IT problems. Especially when these have the capacity to impact the business. The specialized press media DevOps.com estimates that 9% of IT budgets could start to be shifted towards observability in 2024.
In addition to the above, there is another crucial benefit: Observability solutions are also key to driving a better user experience.
Observability and user experience solutions
User experience (UX) is often one of the key success factors of digitization projects within organizations.
UX goes far beyond the interface or how an application’s screen looks.
Users must “fall in love” with the tools they use on a daily basis. They can use them in a simple, intuitive and friendly way. The answers are immediate. Users find them user-friendly. They are functional. They are accessible to all people with different needs.
That’s what UX is for. To increase the levels of adoption, engagement and loyalty with digital products. The good news? Observability solutions also make it possible to detect and correct UX problems.
A look at the RUM
RUM (real user monitoring) is a monitoring system. It provides real-time information on aspects such as the performance of an application, always considering the user’s perspective.
Indeed, it collects data on all interactions of a person with a device, from login to shutdown. In this way, it can detect underperformance. It is also used to identify errors in application code.
Combined with observability solutions, it makes it possible to detect these problems quickly and more accurately. In fact, several aspects are analyzed. These include access, infrastructure speed, operating system responsiveness and connectivity quality. These are key variables for application performance.
Based on this information, the aim is to solve the situation so that it affects as few users as possible in the immediate future.
Observability and UX: key metrics
The following are some of the key user experience metrics that can be obtained from observability solutions.
Uptime
Measures the time the application is available to users. To calculate it, it estimates the percentage of the total time that the application is online. It is a key variable for the success of a digital product. Nothing disappoints a user more or encourages him to stop using an app than the lack of availability.
Time spent
Establishes the amount of time a user actively spends in an app. Ends when the user navigates to a different part of the site or to another page or when the user leaves the app. Can be linked to another metric, “response speed,” which counts the milliseconds it takes for the application to actually display content to the user.
Page views
Total number of times a page or application is viewed in a given amount of time.
Efficiency and usability
A detailed tracking of all operations performed in the application from start to finish. For example, if it is a form to fill out comments, it records everything from the moment of login until the document is sent.
Device type
Analyzes the user’s device, exploring operating system, browser, screen type, if it is updated or if it is a mobile device, among other variables.
There are as many metrics as the business requires. For example, another option is the geographic area (where the users’ connections come from). Success rate (did the user achieve what he/she wanted?) and error rate (user actions that led to an error) also stand out.
Conclusions
Implementing new technologies or developing a digital product is not a success in itself. It is necessary that they work well and that users adopt them.
User-friendly, intuitive, fast and visually appealing user experiences generate numerous benefits. For example, increased user loyalty, or higher revenues when the application targets external customers, or lower costs by increasing productivity.
Besides, observability solutions are essential allies to make all of this possible.
Are you interested in taking advantage of observability solutions to deliver the best possible experience to your users? At Nubiral we know how to help you: Schedule your meeting!
Observability in the automotive industry: A comprehensive and detailed view of the business
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FM and LLM Observability: The key to measuring user impact
This evolution of intelligent monitoring, applied to foundational models and large language models, allows the performance of these types of tools to be aligned with the needs of the business.