ScienceLogic provides a comprehensive monitoring platform designed to help organizations manage their IT infrastructure. Training for ScienceLogic typically covers a range of topics designed to ensure users can fully leverage its capabilities to monitor, automate, and analyze their IT environment.

Why should you choose Nisa For ScienceLogic Training?

Nisa Trainings is the best online training platform for conducting one-on-one interactive live sessions with a 1:1 student-teacher ratio. You can gain hands-on experience by working on near-real-time projects under the guidance of our experienced faculty. We support you even after the completion of the course and happy to clarify your doubts anytime. Our teaching style at Nisa Trainings is entirely hands-on. You’ll have access to our desktop screen and will be actively conducting hands-on labs on your desktop.

Job Assistance

If you face any problem while working on ScienceLogic Course, then Nisa Trainings is simply a Call/Text/Email away to assist you. We offer Online Job Support for professionals to assist them and to solve their problems in real-time.

The Process we follow for our Online Job Support Service:

• We receive your inquiry for Online Job
• We will arrange a telephone call with our consultant to grasp your complete requirement and the tools you’re
• If our consultant is 100% confident in taking up your requirement and when you are also comfortable with our consultant, we will only agree to provide service. And then you have to make the payment to get the service from
• We will fix the timing for Online Job Support as mutually agreed by you and our consultant.

Course Information

ScienceLogic Training

Duration: 25 Hours

Timings: Weekdays (1-2 Hours per day) [OR] Weekends (2-3 Hours per day)

Training Method: Instructor Led Online One-on-One Live Interactive

Sessions.

COURSE CONTENT :

1. Introduction to ScienceLogic

• Overview of the platform: Understanding the key features and functionality.
• ScienceLogic architecture: How the system is structured, including its components like collectors, the user interface, and the management plane.
• Data collection: Learn how ScienceLogic collects and processes data from different IT assets, including networks, servers, and applications.

2. Setting Up ScienceLogic

• System Installation: Guide on setting up ScienceLogic within an environment.
• Integration with existing IT systems: How to integrate ScienceLogic with third-party tools (e.g., ticketing systems, other monitoring platforms).
• User roles and permissions: How to manage users and assign appropriate roles.

3. Monitoring Configuration

• Device Discovery: How to add and automatically discover devices within your network.
• Creating and managing monitors: Setting up the platform to monitor various devices and systems.
• Customizing dashboards: Tailoring the platform’s user interface to display the most relevant data for your needs.

4. Alerting and Notifications

• Creating Alerts: Set up alert thresholds based on system performance and health.
• Configuring notifications: Determine how and when to notify teams or stakeholders of any incidents or system changes.

5. Automation and Reporting

• Automating responses: Use ScienceLogic to automate actions based on specific triggers or events.
• Custom reporting: Creating detailed and customized reports based on data collected within the platform.

6. Advanced Features

• Analytics and insights: Dive into deeper analytics to gain insights into your systems and optimize operations.
• AIOps (Artificial Intelligence for IT Operations): Leverage AI to identify patterns and automate decision-making processes.

7. Troubleshooting and Optimization

• Best practices for troubleshooting: Techniques for diagnosing and resolving issues within the platform.
• System performance tuning: Learn how to optimize the system for better performance.

8. ScienceLogic API and Integrations

• Using the API: How to use the ScienceLogic API for more advanced integrations and automation.
• Third-party integrations: Setting up and troubleshooting connections with other platforms (e.g., cloud environments like AWS, Azure, or GCP).