¿Quieres saber cómo implementar la Observabilidad en la nube?
Cada día que pasa, el software se vuelve más y más complejo. En la infraestructura hay una combinación de patrones
Does my system work? Is it fast based on my end-users’ experience? What KPIs and SLAs should we set and how do we know they are being met?
When you operate at the speed and scale of the cloud, you can’t afford to fly blind – you need to be able to answer operational and business questions like these. To gain this insight, you need observable systems. The journey-to-cloud makes rapid response and analysis tools imperative.
Cloud Observability is a technology that uses Artificial Intelligence (AI) and Machine Learning (ML) models to identify anomalous behavior patterns and resolve critical incidents before they have an impact in the form of downtime or service interruptions.
Know the status and performance of your applications.
Early detection of problems.
End-to-end visibility in real time.
Find out the root causes of the problem.
Sending an alert to the person responsible for the incident.
Incident resolution in record time.
Improve operational effectiveness and efficiency.
Entelgy has consulting teams to help clients understand, adopt and journey into the world of Observability of their applications, environments and software:
Avoid drops and improve customer experience.
Single point of monitoring; eliminates data silos and predicts potential problems.
Information about: user behavior, system availability, network capacity and speed to ensure optimal operation.
Speed of implementation.
Improve development productivity.
Save costs.
HEAD OF DATA & PROCESS
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Cada día que pasa, el software se vuelve más y más complejo. En la infraestructura hay una combinación de patrones
Las empresas utilizan la observabilidad para medir todos los parámetros de eficiencia energética en fuentes
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