Python with Plotly and Dash Training Course

This instructor-led, live training in Czech Republic (online or onsite) is aimed at advanced-level DevOps and SRE professionals who wish 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 Czech Republic (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 maintenance of the system.

Upon completion 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.

The Elastic Stack (ELK) is a robust platform designed for real-time searching, analysis, and visualization of log data from various sources.

This instructor-led live training (available online or onsite) targets intermediate-level IT professionals aiming to expand their ELK expertise. The course focuses on managing distributed log data, automating alert systems, and developing sophisticated visualizations and dashboards.

Upon completion of this training, participants will be capable of:

• Configuring advanced ingestion and parsing workflows from diverse sources, including databases.
• Designing customized Kibana dashboards tailored to specific teams or use cases.
• Implementing email notifications and condition-based alerting mechanisms.
• Utilizing regular expressions to enhance search precision within logs.
• Managing user roles and access permissions to ensure secure log environments.
• Interacting with the Elasticsearch REST API for automation and integration purposes.

Format of the Course

• Interactive lectures and discussions.
• Extensive exercises and practical application.
• Hands-on implementation within a live-lab environment.

Course Customization Options

• To arrange a customized training session for this course, please contact us.

This instructor-led, live training Czech Republic (available online or onsite) is designed for intermediate-level DevOps and SRE professionals who want to develop impactful dashboards and enhance their monitoring practices using Grafana and Prometheus.

By the end of this course, 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 Czech Republic (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 conducted in Czech Republic (onsite or remote) is designed for data analysts who wish to leverage Grafana for monitoring and visualizing their data.

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

• Configure the necessary development environment to begin creating visualizations in Grafana.
• Set up Grafana for high availability.
• Customize panels and dashboards to display relevant data.
• Configure a reverse proxy to ensure fast loading speeds.

This instructor-led, live training in Czech Republic (online or on-site) is designed for intermediate data analysts who wish to learn and apply the advanced features and components of Grafana for data visualization and analysis.

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

• Develop a comprehensive understanding of advanced Grafana concepts and components.
• Utilize template variables and dynamic dashboards to improve data visualization.
• Employ the Grafana Query Language to execute complex queries.
• Adopt best practices for scaling Grafana, optimizing performance, and ensuring high availability.

This instructor-led, live training in Czech Republic (online or onsite) is aimed at intermediate-level system administrators and monitoring professionals who wish to effectively use 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 Czech Republic (online or onsite) is designed for intermediate-level Grafana users who wish 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 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 guided, live training session in Czech Republic (online or in-person) is designed for entry-level IT specialists and DevOps engineers who want to learn the fundamentals of Grafana and Prometheus.

Upon completing this training, participants will be equipped to:

• Grasp the objectives and core capabilities of Grafana and Prometheus.
• Install and configure Grafana and Prometheus on a Linux system.
• Establish fundamental data sources and dashboards in Grafana.
• Track system metrics and visualize information using Prometheus.

This instructor-led live training in Czech Republic (online or onsite) is tailored for intermediate-level cloud and DevOps engineers seeking to enhance cloud observability using Grafana and Prometheus.

By the conclusion 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.

Grafana and Prometheus are industry-standard tools used to monitor, visualize, and alert on IT infrastructure and application metrics through real-time dashboards and integrations.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level IT professionals who wish to integrate Grafana with Prometheus and multiple data sources, and build actionable visualizations and alerts across distributed systems.

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

• Install and configure Grafana and Prometheus in production-ready setups.
• Integrate multiple data sources including SQL, Elasticsearch, InfluxDB, and cloud APIs.
• Create advanced dashboards with variables, templating, transformations, and alerts.
• Apply best practices in data modeling, performance tuning, and user access control.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in Czech Republic (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 Czech Republic (online or onsite) is aimed at advanced-level Kubernetes administrators and DevOps engineers who wish to enhance 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 Czech Republic (online or onsite) is targeted 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.
• Optimize Prometheus performance for high-traffic systems.
• Configure Grafana for large datasets and complex visualizations.
• Implement advanced troubleshooting and scalability strategies.