Sumo Logic Training
Sumo Logic is a cloud-based machine data analytics platform used to monitor, manage, and analyze the performance and security of your applications and infrastructure. If you’re looking for training or resources to get started with Sumo Logic.

Why should you choose Nisa For Sumo Logic 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 Sumo Logic 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
Sumo Logic 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. Getting Started with Sumo Logic
- Introduction to Sumo Logic: Overview of the Sumo Logic platform, key use cases, and benefits of cloud-based log management.
- Account Setup: How to create a Sumo Logic account and configure your environment.
- Navigating the User Interface: Introduction to the Sumo Logic dashboard, main components, and features.
- First Steps: Basic steps to collect logs, configure sources, and create your first searches.
- Collectors and Sources: How to set up collectors to ingest logs and metrics from various sources (e.g., servers, cloud platforms).
2. Log Management and Analysis
- Log Collection: How to set up and manage collectors for different data sources such as Syslog, AWS, and Kubernetes.
- Understanding Log Data: How to work with different log formats (structured vs unstructured) and interpret key information.
- Log Search & Querying: Introduction to Sumo Logic’s Search Query Language (SPL), which allows you to filter, aggregate, and analyze logs.
- Log Parsing and Transformation: How to use field extraction rules and custom parsing to structure unstructured log data.
- Log Alerts: Setting up log-based alerts to notify you when specific events or patterns occur in your data.
3. Metrics Monitoring
- Metric Collection: Overview of how to collect and manage time-series data, including system and application metrics.
- Metrics Visualization: Creating visualizations to monitor metrics and identify trends or anomalies.
- Metric Queries: Writing queries for metrics analysis, similar to log querying but focused on numerical data.
- Dashboards: Creating and customizing dashboards to monitor both logs and metrics in real-time.
4. Security Analytics and Compliance
- Introduction to Security Analytics: Overview of how Sumo Logic can help detect and investigate security incidents using logs.
- Security Use Cases: Common security use cases like detecting unauthorized access, identifying malicious activity, and responding to breaches.
- Security Event Correlation: How to correlate logs from different sources (e.g., firewalls, servers, applications) to identify security threats.
- Compliance Monitoring: Using Sumo Logic for compliance reporting, auditing, and meeting regulatory requirements (e.g., GDPR, HIPAA).
5. Advanced Features and Configuration
- Advanced Search Queries: Techniques for writing more complex queries, including using aggregation, time-based filters, and regex.
- Dashboards and Reports: Best practices for designing dashboards and reports to visualize both log and metric data.
- Data Retention and Archiving: Managing how long data is stored and archived in Sumo Logic, including strategies for compliance and cost management.
- Scheduled Searches and Alerts: Automating searches and setting up recurring reports or alerts based on predefined criteria.
- Using APIs: How to interact with Sumo Logic programmatically via its RESTful API for custom integrations and automation.
6. Integrations and Ecosystem
- Third-Party Integrations: How to integrate Sumo Logic with other platforms like AWS, Azure, Kubernetes, and Docker for more extensive data collection and analysis.
- SIEM Integration: Configuring Sumo Logic to ingest security logs from third-party SIEM (Security Information and Event Management) tools.
- Alert and Incident Management: Integrating Sumo Logic alerts with incident management tools like PagerDuty, ServiceNow, or Slack.