Overview

Explore advanced data visualisation and observability using Kibana within the StackOps environment. Learn to query, analyse, and visualise data through hands-on labs covering the full pipeline - from ingestion and parsing to building meaningful dashboards. Leverage powerful capabilities such as ES|QL for complex queries, the AI Assistant for faster analysis, and built-in machine learning for anomaly detection. This programme equips practitioners with the skills to transform raw data into actionable insights for effective system monitoring and operations.

Key Takeaways

At the end of this programme, you will be able to:

Ingest and parse log data using tools like Fleet, Elastic Agent, and Grok
Perform advanced queries and data aggregation using ES|QL
Build custom visualisations and interactive dashboards in Kibana
Utilise the AI Assistant to accelerate data exploration and analysis
Apply built-in Machine Learning features to perform anomaly detection
Create formula-based metrics for advanced dashboarding

Who Should Attend

Please refer to the job roles section.
This programme is designed for ICT&SS Professionals, Software Engineers, and any technical officers responsible for system health monitoring, data analysis, and incident response. It is ideal if you are:
- Responsible for creating dashboards to monitor application and infrastructure performance.
- Looking to move beyond basic search and use powerful query languages like ES|QL.
- Tasked with identifying and investigating anomalies in system behaviour.
- Seeking to leverage AI and ML tools to enhance your observability practices.

Prerequisites

Prior knowledge of SRE concepts is a must. We recommend participants attend the StackOps Overview & Ingestion and StackOps App Monitoring programmes to build a strong foundation in StackOps before attending this programme.

Visualisation & Observability in StackOps

Visualisation & Observability in StackOps

Instructors

Lim Jie Hong

Upcoming Classes

22 Jan 2026 to 22 Jan 2026 (Full Time)

21 May 2026 to 21 May 2026 (Full Time)