Python with Plotly and Dash Training Course

This instructor-led, live training in Taiwan (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 Taiwan (available online or onsite) is tailored for intermediate-level administrators and developers aiming to deepen their understanding of Elasticsearch administration. Key topics include advanced techniques for Kibana dashboard development and comprehensive system maintenance.

By the conclusion of this training, participants will be equipped 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) serves as a robust platform for real-time searching, analysis, and visualization of log data aggregated from diverse sources.

This instructor-led live training, available either online or on-site, is designed for IT professionals with intermediate experience who aim to deepen their ELK expertise. The course focuses on managing distributed log data, automating alert mechanisms, and developing sophisticated visualizations and dashboards.

Upon completing this training, participants will be equipped to:

• Configure complex ingestion and parsing pipelines for various sources, including database connectivity.
• Design and deploy customized Kibana dashboards tailored to specific teams or use cases.
• Set up email notifications and condition-based alerting systems.
• Leverage regular expressions to enhance the precision of log searches.
• Manage user roles and access controls to ensure secure log environments.
• Utilize the Elasticsearch REST API for automation and system integration.

Course Format

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

Course Customization Options

• To arrange a customized training session for this course, please contact us to discuss your specific needs.

This instructor-led, live training in Taiwan (online or onsite) targets intermediate-level DevOps and SRE professionals who aim to develop impactful dashboards and optimize their monitoring practices using Grafana and Prometheus.

Upon completion 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 Taiwan (online or onsite) is designed for intermediate-level developers and DevOps engineers who want to instrument their applications to effectively export and monitor custom metrics using Prometheus and Grafana.

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

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

This instructor-led, live training in Taiwan (onsite or remote) is designed for data analysts who wish to utilize Grafana for monitoring and visualizing data.

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

• Setting up the necessary development environment to begin creating visualizations in Grafana.
• Configuring Grafana for high availability.
• Customizing panels and dashboards with relevant data.
• Configuring a reverse proxy to ensure fast loading speeds.

This instructor-led live training in Taiwan (online or onsite) is aimed at intermediate-level data analysts who wish to learn and utilize the advanced features and components of Grafana for data visualization and analysis.

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

• Gain an in-depth understanding of advanced Grafana concepts and components.
• Leverage template variables and dynamic dashboards for enhanced data visualization.
• Use Grafana Query Language for complex queries.
• Learn best practices for scaling Grafana, optimizing performance, and ensuring high availability.

This instructor-led, live training in Taiwan (online or onsite) targets intermediate-level system administrators and monitoring professionals aiming to effectively leverage Grafana for establishing monitoring solutions, managing dashboards, and configuring alerts.

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

• Grasp the distinction between observability and monitoring.
• Install and configure the Grafana server.
• Configure and link various data sources, including Prometheus, InfluxDB, and ElasticSearch.
• Create, manage, and customize dashboards and charts.
• Utilize variables and queries to develop dynamic dashboards.
• Establish notifications and alerts via Grafana.
• Install and manage plugins to enhance Grafana’s capabilities.

This instructor-led live training in Taiwan (online or onsite) targets intermediate-level Grafana users who wish to create interactive, drill-down dashboards equipped 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 guided, live session in Taiwan (available online or in-person) is designed for entry-level IT professionals and DevOps practitioners looking to grasp the fundamentals of Grafana and Prometheus.

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

• Comprehend the purpose and main features of Grafana and Prometheus.
• Install and configure Grafana and Prometheus on a Linux environment.
• Configure basic data sources and dashboards in Grafana.
• Monitor system metrics and visualize data using Prometheus.

This instructor-led, live training in Taiwan (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.

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 Taiwan (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 Taiwan (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 Taiwan (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.
• Optimize Prometheus performance for high-traffic systems.
• Configure Grafana for large datasets and complex visualizations.
• Implement advanced troubleshooting and scalability strategies.