Data Visualisation Training in Patras

This instructor-led, live training in Patras (online or onsite) is aimed at intermediate-level Grafana users who wish to build interactive, drill-down dashboards with 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 a graph bar
• Implement visual drill-downs that update in-place (without 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 Patras (online or onsite) is designed for intermediate-level system administrators and monitoring professionals who wish to effectively utilize Grafana for setting up monitoring solutions, managing dashboards, and creating 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 customize 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 Patras (online or onsite) is designed for advanced-level DevOps engineers and SREs seeking to effectively manage and scale Prometheus and Grafana within large environments.

Upon completion 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 to handle large datasets and complex visualizations.
• Implement advanced troubleshooting and scalability strategies.

This instructor-led, live training in Patras (online or onsite) 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 visualize custom metrics.
• Apply best practices for integrating monitoring into the development lifecycle.

This instructor-led, live training in Patras (online or onsite) is designed for advanced-level Kubernetes administrators and DevOps engineers who want to improve their monitoring skills for Kubernetes clusters using Prometheus and Grafana.

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

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

This instructor-led live training in Greece (online or onsite) targets advanced DevOps and SRE professionals aiming to enhance their alerting and automation skills with 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 for faster issue resolution.
• Use Grafana to visualize and manage alerts effectively.

This instructor-led, live training in Patras (online or onsite) is aimed at intermediate-level cloud and DevOps engineers who wish to enhance cloud observability with 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 for visualizing cloud service metrics.
• Leverage cloud-native tools and integrations for monitoring scalability.

This instructor-led live training in Patras (online or onsite) is designed for intermediate-level DevOps and SRE professionals who aim to create impactful dashboards and optimize their monitoring workflows using Grafana and Prometheus.

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

• Apply 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 Patras (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 visualize system performance.
• Apply best practices for monitoring system availability and performance.

This instructor-led, live training in Patras (online or onsite) is aimed at beginner-level data scientists who wish to learn how to create meaningful and visually appealing data visualizations.

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

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

This instructor-led live training in Patras (online or on-site) targets 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 visualize data using Prometheus.

This instructor-led, live training in Patras (online or in-person) is designed for intermediate-level administrators and developers aiming to enhance their knowledge of Elasticsearch administration. The curriculum covers advanced Kibana dashboard development techniques alongside system maintenance strategies.

By the conclusion 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 visualization types and techniques.
• Implement best practices for Elasticsearch and Kibana administration, optimization, and troubleshooting.

This instructor-led live training in Patras (online or onsite) is designed for intermediate-level data analysts looking to master and apply Grafana's advanced features and components for data visualization and analysis.

Upon completing this training, participants will be able to:

• Acquire a deep understanding of advanced Grafana concepts and components.
• Utilize template variables and dynamic dashboards to enhance data visualization.
• Employ Grafana Query Language for executing complex queries.
• Master best practices for scaling Grafana, optimizing performance, and ensuring high availability.

This instructor-led, live training in Patras (online or on-site) is designed for data analysts who want to build 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 for streaming live updating data.
• Build interactive dashboards using Python for data science solutions.
• Secure interactive dashboards with advanced authentication methods.

This instructor-led, live training in Patras is intended for system administrators who wish to set up an ELK stack (Elasticsearch, Logstash, Kibana). Please note that a minimum of 3 participants is required for this course to take place.

The training starts with a discussion of ELK architecture and functionality, then moves on to live lab implementation and practice. Hands-on exercises make up an important part of the training and give participants a chance to put into practice their knowledge while receiving feedback on their progress.

This instructor-led live training, available Patras (either onsite or remotely), is designed for data analysts looking to leverage Grafana for data monitoring and visualization.

Upon completion of this training, participants will be able to:

• Establish the required development environment to begin creating visualizations in Grafana.
• Configure Grafana for high availability.
• Customize panels and dashboards using various data sets.
• Set up a reverse proxy to ensure optimal loading performance.

In this instructor-led live training in Patras (onsite or remote), participants will learn to use Microsoft Power BI for data analysis and visualisation using sample datasets.

Upon completion of this training, participants will be able to:

• Create visually engaging dashboards that deliver valuable data insights.
• Obtain and integrate data from various sources.
• Develop and share visualisations with team members.
• Transform data using Power BI Desktop.

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

Upon completion of this training, participants will be able to:

• Configure the necessary development environment to begin coding.
• Construct distributed, stateful, rule-based event processing systems.
• Manage business event data and implement appropriate business rules.
• Decrease event response times in large-scale, data-centric applications.
• Develop applications for fraud detection, track-and-trace capabilities, real-time customer offer generation, and more.