Want to enhance your network management with AI-driven efficiency? Check out our new Augmented Operations course! Learn to leverage DataMiner's AI capabilities—from proactive issues detection to streamlined incident response—so you can stay ahead of potential problems and work more effectively.
If you're a DataMiner user looking to unlock the potential of AI within the platform, our new course is here to help. Available for free on YouTube and Dojo, this course introduces you to a full suite of AI-powered features that can enhance both proactive and reactive aspects of your network management.
The course was designed by the experts behind these tools and not only guides you through each feature but also helps you understand how to maximize AI's capabilities in partnership with your own expertise.
In this course, you'll learn:
✔️ how to prevent potential issues before they occur
✔️ how to manage your alarms more effectively
✔️ how to quickly spot unusual behavior
✔️ and more...
Why take this course?
As it is led by Skyline's AI specialists, the Augmented Operations course offers a unique look at each of DataMiner's AI functionalities, including intuitive insights into how the underlying algorithms operate and the computational demands they place on your system. Rather than diving into the technical depths of each algorithm, the course empowers you to make the most of these tools in your own environment.
More importantly, you'll learn that the best results with DataMiner's AI features happen in symbiosis with you, the user. The course covers techniques to help you harness these tools effectively, guiding you in using AI to enhance your network management experience. And if you have questions, instructors respond promptly, to support you on your learning journey.
Plus, this course is equipped with an interactive Catalog package, allowing you to follow along and practice the techniques in real time on your own DataMiner System.
Course highlights and AI features
The course is structured to guide you through DataMiner's AI features in manageable, practical steps. Here's an overview of the main functionalities:
- Intelligent fault detection
- Trend prediction and proactive cap detection: Gain early warnings about potential issues before they even surface, like anticipating when your system memory is about to run out.
- Behavioral anomaly detection: Detect subtle anomalies, such as unexpected drops in network traffic or flatlining device performance, before they escalate into full-blown problems.
- Efficient incident management and alarm handling
- Alarm focus: Declutter your alarm list by hiding irrelevant alerts, like those that occur regularly at specific times or have been open for extended periods.
- Incident tracking: Simplify your alarm workflow with customizable grouping strategies. For instance, you could automatically consolidate multiple alarms on amplifiers under the same node, so they're treated as a single incident.
- Pointing you to related parameters: When investigating an issue, this feature helps identify other relevant metrics, making it easier to piece together a comprehensive picture of the underlying problem.
- Enhanced monitoring and interpretability
- Trend icons: Rely on quick visual cues that show the behavior of any parameter, whether it's trending upward, downward, or remaining stable.
- Pattern matching: Identify recurring patterns easily. For instance, you can select a time range where a room's temperature rises without a corresponding increase in fan speed and label it as a "cooling failure". DataMiner will recognize this behavior if it occurs again, saving you from configuring complex alarm templates.
- Time-scoped relation learning: When an issue arises, DataMiner can point out other parameters that behaved unusually within the same time frame. For example, if you notice a spike in CPU usage, this feature can quickly identify which processes contributed to it.
Dojo platform and DevOps Points
This course is offered on Dojo, Skyline's platform for DataMiner learning, community engagement, and professional development. As you progress through the course, you'll earn a total of 250 DevOps Points, with additional points available through quizzes: 200 Points for the final quiz and 15 Points for each intermediate quiz. Accumulating DevOps Points can open doors to exclusive content, licenses, support plans, and more.
Ready to get started?
Begin your journey with this course to unlock the full potential of AI in your DataMiner System. As you gain hands-on experience, think about how these features could enhance your daily work, from streamlining alarm management to building proactive monitoring strategies. And don't forget to share your success stories with the community—there are DevOps Points in it for you!
Explore, experiment, and see how AI can transform your network management experience. Join us on Dojo, or watch the course on YouTube.