Since organizations rely on their network to perform at the highest levels to satisfy their customers and users, performance issues and network outages are not only exasperating to deal with, they are also incredibly costly. Traditional monitoring relies heavily on user-defined rules and thresholds to generate error notifications.
With this approach, events occurring outside of the scope of defined rules cannot be effectively identified. The process of setting up and maintaining those alerting rules is also time-consuming and complex, and the overall approach stays purely reactive.
Our approach at Logmind is quite the opposite: we bring knowledge of early signs of failure automatically, in real-time and proactively to the team, together with an automated issue diagnostic and resolution recommendation, leaving time to understand and take the necessary actions.
This accelerate the entire detection and troubleshooting time and reduces the team' stress, giving them extra time for more valuable tasks.
Logmind brings trust: alerts provide relevant insights and we do not get flooded by them. We can reduce the enormous ambient noise as Logmind always pinpoints the critical solutions.
Solving issues used to be very painful and stressful. Now with Logmind we get notified in real-time about issues and have enough time to act, without spending time digging into log files.
Getting unified visibility and moving from reactive resolution were our key challenges. Logmind helps us adopt a predictive approach. We liked the intuitive interface and the simplicity of getting started.
We had to decide whether to bring in more engineering resources or more intelligence. We decided for the latter with Logmind to save costs and reduce efforts with more intelligence and automation.
Logmind brings trust: alerts provide relevant insights and we do not get flooded by them. We can reduce the enormous ambient noise as Logmind always pinpoints the critical solutions.
Solving issues used to be very painful and stressful. Now with Logmind we get notified in real-time about issues and have enough time to act, without spending time digging into log files.
Getting unified visibility and moving from reactive resolution were our key challenges. Logmind helps us adopt a predictive approach. We liked the intuitive interface and the simplicity of getting started.
We had to decide whether to bring in more engineering resources or more intelligence. We decided for the latter with Logmind to save costs and reduce efforts with more intelligence and automation.
Logmind brings trust: alerts provide relevant insights and we do not get flooded by them. We can reduce the enormous ambient noise as Logmind always pinpoints the critical solutions.
Solving issues used to be very painful and stressful. Now with Logmind we get notified in real-time about issues and have enough time to act, without spending time digging into log files.
Getting unified visibility and moving from reactive resolution were our key challenges. Logmind helps us adopt a predictive approach. We liked the intuitive interface and the simplicity of getting started.
We had to decide whether to bring in more engineering resources or more intelligence. We decided for the latter with Logmind to save costs and reduce efforts with more intelligence and automation.
