Humio training is designed to help individuals and teams effectively use the Humio platform for log management, real-time monitoring, and data analysis. The training covers essential concepts and features of Humio, from installation and setup to advanced querying and visualization techniques, empowering users to leverage Humio for observability, troubleshooting, and performance monitoring.

Why should you choose Nisa For Humio 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 Humio 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

Humio 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 Humio

• Overview of Humio and its capabilities.
• Key features of Humio, such as real-time log analysis, scalability, and ease of use.
• Use cases for Humio in monitoring, troubleshooting, and security.

2. Setting Up Humio

• Installation and setup of Humio (on-premises or cloud).
• Configuration of log sources and log ingestion.
• Understanding the Humio architecture (data ingestion, storage, and retrieval).

3. Working with Data in Humio

• Sending logs and events to Humio using various log shipping methods.
• Ingestion options such as HTTP, syslog, or Humio’s agent.
• Understanding the log retention policies and how to manage them.

4. Query Language (Humio Query Language – HQL)

• Introduction to Humio Query Language (HQL).
• Writing basic queries to search and filter log data.
• Using functions and operators for data aggregation and analysis.
• Time-based filtering and managing time windows in queries.

5. Dashboards and Visualizations

• Creating custom dashboards to visualize log data.
• Adding charts, graphs, and tables to dashboards.
• Setting up alerts based on queries and visualizations.
• Sharing and collaborating on dashboards.

6. Alerting and Notifications

• Configuring alerts based on custom queries.
• Setting thresholds for alerts and defining actions.
• Integrating Humio with external notification services (email, Slack, etc.).

7. Security and Access Control

• User management in Humio (roles and permissions).
• Setting up access control policies.
• Ensuring log data is secure and protected.

8. Advanced Features

• Setting up clusters for high availability and scalability.
• Integration with other observability tools and systems (e.g., Prometheus, Grafana).
• Advanced search techniques and optimizations for large datasets.

9. Best Practices

• Optimizing data storage and ingestion.
• Efficient query design for performance.
• Using tags, fields, and indexing to improve search capabilities.

10. Troubleshooting and Maintenance

• Monitoring the performance of the Humio system.
• Troubleshooting common issues with log ingestion, queries, or dashboard visualizations.
• Regular maintenance tasks (updating, backups, scaling).