Online Data Visualisation Training in New Zealand

This instructor-led, live training in New Zealand (online or on-site) is designed for intermediate-level Grafana users who want to build interactive, drill-down dashboards featuring dynamic thresholds and contextual updates.

By the end of this training, participants will be able to:

• Create dashboards that respond to user interactions, such as clicking on a graph bar
• Implement visual drill-downs that update in-place (without opening new tabs)
• Configure pie charts and detailed panels based on selection filters
• Use dynamic thresholds that react to user input and real-time data

This instructor-led, live training in New Zealand (online or on-site) is designed for intermediate-level system administrators and monitoring professionals who wish to effectively use Grafana to set up monitoring solutions, manage dashboards, and create alerts.

By the end of this training, participants will be able to:

• Understand the difference between observability and monitoring.
• Install and set up the Grafana server.
• Configure and connect various data sources such as Prometheus, InfluxDB, and ElasticSearch.
• Create, manage, and customise dashboards and charts.
• Use variables and queries to create dynamic dashboards.
• Set up notifications and alerts through Grafana.
• Install and manage plugins to extend Grafana’s functionality.

This instructor-led, live training in New Zealand (online or onsite) is aimed at advanced-level DevOps engineers and SREs who wish to manage and scale Prometheus and Grafana for large environments effectively.

By the end of this training, participants will be able to:

• Architect Prometheus and Grafana for large-scale and distributed environments.
• Optimise Prometheus performance for high-traffic systems.
• Configure Grafana for large datasets and complex visualisations.
• Implement advanced troubleshooting and scalability strategies.

This instructor-led, live training in New Zealand (online or on-site) is aimed at intermediate-level developers and DevOps engineers who wish to instrument their applications to export and monitor custom metrics effectively using Prometheus and Grafana.

By the end of this training, participants will be able to:

• Understand the importance of custom metrics for application monitoring.
• Instrument applications to export custom metrics for Prometheus.
• Create and configure dashboards in Grafana to visualise custom metrics.
• Apply best practices for integrating monitoring into the development lifecycle.

This instructor-led, live training in New Zealand (either online or on-site) is designed for advanced-level Kubernetes administrators and DevOps engineers who wish to enhance their monitoring skills for Kubernetes clusters using Prometheus and Grafana.

By the conclusion of this training, participants will be able to:

• Set up Prometheus and Grafana for Kubernetes monitoring.
• Monitor key metrics across pods, nodes, and services.
• Create dynamic dashboards to visualise cluster health and performance.
• Implement alerting strategies for proactive issue resolution.
• Apply best practices for scaling monitoring solutions within Kubernetes environments.

This instructor-led, live training in New Zealand (online or on-site) is designed for advanced-level DevOps and SRE professionals seeking to enhance their alerting and automation skills using Grafana and Prometheus.

By the end of this training, participants will be able to:

• Create and manage advanced alerting rules in Prometheus.
• Integrate Prometheus Alertmanager with external tools using webhooks.
• Automate responses to alerts to resolve issues more quickly.
• Use Grafana to effectively visualise and manage alerts.

This instructor-led, live training in New Zealand (online or on-site) is designed for intermediate-level cloud and DevOps engineers who wish to enhance cloud observability using Grafana and Prometheus.

By the end of this training, participants will be able to:

• Understand the benefits of integrating Grafana and Prometheus with cloud platforms.
• Set up Prometheus for monitoring cloud-based resources.
• Configure Grafana to visualise cloud service metrics.
• Leverage cloud-native tools and integrations to support monitoring scalability.

This instructor-led, live training in New Zealand (online or on-site) is aimed at intermediate-level DevOps and SRE professionals who wish to create impactful dashboards and optimise their monitoring practices using Grafana and Prometheus.

By the end of this training, participants will be able to:

• Understand best practices for designing effective dashboards.
• Create and configure advanced Grafana dashboard elements.
• Leverage Grafana templating for dynamic and reusable dashboards.
• Implement alerting mechanisms to enhance operational awareness.

This instructor-led, live training in New Zealand (online or onsite) is aimed at beginner-level system administrators and DevOps engineers who wish to develop core monitoring skills using Grafana and Prometheus.

By the end of this training, participants will be able to:

• Understand the purpose and importance of monitoring in IT environments.
• Install and configure Grafana and Prometheus for basic monitoring tasks.
• Create simple dashboards and alerts to visualise system performance.
• Apply best practices for monitoring system availability and performance.

This instructor-led, live training in New Zealand (online or on-site) is aimed at beginner-level data scientists who wish to learn how to create meaningful and visually appealing data visualisations.

By the end of this training, participants will be able to:

• Set up and navigate Google Colab for data visualisation.
• Create various types of plots using Matplotlib.
• Utilise Seaborn for advanced visualisation techniques.
• Customise plots for better presentation and clarity.
• Interpret and present data effectively using visual tools.

This instructor-led, live training in New Zealand (online or onsite) is aimed at beginner-level IT professionals and DevOps practitioners who wish to learn the basics of Grafana and Prometheus.

By the end of this training, participants will be able to:

• Understand the purpose and key features of Grafana and Prometheus.
• Install and configure Grafana and Prometheus on a Linux environment.
• Set up basic data sources and dashboards in Grafana.
• Monitor system metrics and visualise data using Prometheus.

This instructor-led, live training in New Zealand (online or onsite) is aimed at intermediate-level administrators and developers who wish to deepen their understanding of Elasticsearch administration, including advanced techniques for dashboard development in Kibana, as well as system maintenance.

By the end of this training, participants will be able to:

• Set up and configure Elasticsearch and Kibana environments for advanced administration and dashboard development.
• Create and manage Elasticsearch indices, mappings, and data models.
• Develop advanced queries and filters to extract valuable insights from Elasticsearch data.
• Design and build interactive dashboards in Kibana using various visualisation types and techniques.
• Implement best practices for Elasticsearch and Kibana administration, optimisation, and troubleshooting.

This instructor-led, live training in New Zealand (online or on-site) is designed for intermediate-level data analysts who wish to learn and leverage the advanced features and components of Grafana for data visualisation and analysis.

By the end of this training, participants will be able to:

• Gain a deep understanding of advanced Grafana concepts and components.
• Use template variables and dynamic dashboards to enhance data visualisation.
• Apply the Grafana Query Language for complex queries.
• Learn best practices for scaling Grafana, optimising performance, and ensuring high availability.

This instructor-led, live training in New Zealand (available online or on-site) is tailored for data analysts who wish to develop analytical applications using Python with Plotly and Dash.

By the end of this training, participants will be able to:

• Set up a real-time interactive dashboard to stream live, updating data.
• Build interactive dashboards using Python for data science solutions.
• Secure interactive dashboards using advanced authentication methods.

This instructor-led, live training in New Zealand is designed for system administrators who want to set up an ELK stack (Elasticsearch, Logstash, Kibana). Please note that a minimum of three participants is required for this course to run.

The course begins with an exploration of ELK architecture and functionality, followed by hands-on lab implementation and practical exercises. These interactive sessions form a core component of the training, allowing participants to apply their knowledge in real-time while receiving constructive feedback on their progress.

This instructor-led, live training in New Zealand (onsite or remote) is designed for data analysts who wish to use Grafana for monitoring and visualising data.

By the end of this training, participants will be able to:

• Set up the necessary development environment to begin creating visualisations in Grafana.
• Configure Grafana for high availability.
• Customise panels and dashboards with data.
• Configure a reverse proxy to achieve fast loading speeds.

In this instructor-led, live training in New Zealand (onsite or remote), participants will learn how to use Microsoft Power BI to analyse and visualise data using a series of sample data sets.

By the end of this training, participants will be able to:

• Create visually compelling dashboards that deliver valuable insights from data.
• Obtain and integrate data from multiple sources.
• Build and share visualisations with team members.
• Adjust and transform data using Power BI Desktop.

This instructor-led, live training in New Zealand (available online or onsite) is designed for developers who wish to use BusinessEvents and ActiveMatrix Service Bus to develop, deploy, and manage event-driven applications.

By the end of this training, participants will be able to:

• Set up the necessary development environment to begin development.
• Build distributed, stateful, rule-based event-processing systems.
• Manage business event data and execute appropriate business rules.
• Reduce event response times in large-scale, data-driven applications.
• Develop applications for fraud detection, track-and-trace, real-time customer offer generation, and more.