Data Analysis and Visualization for Decision-Making Training Course

This instructor-led, live training in Turkey (online or onsite) is designed for advanced-level DevOps and SRE professionals seeking to improve their alerting and automation skills with Grafana and Prometheus.

By the conclusion 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 Turkey (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.

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

The Elastic Stack (ELK) serves as a robust platform designed for the real-time searching, analysis, and visualization of log data collected from diverse sources.

This instructor-led training, available both online and onsite, is tailored for intermediate-level IT professionals aiming to enhance their ELK proficiency. The course focuses on managing distributed log data, automating alert mechanisms, and developing sophisticated visualizations and dashboards.

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

• Configure advanced ingestion and parsing pipelines from various sources, including database connections.
• Design tailored Kibana dashboards to meet the specific needs of different teams or use cases.
• Deploy condition-based alerts and configure email notifications.
• Leverage regular expressions to enhance the precision of log searches.
• Manage user roles and access permissions to ensure a secure logging environment.
• Utilize the Elasticsearch REST API for automation and seamless integration.

Course Format

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

Course Customization Options

• For inquiries regarding customized training options for this course, please contact us to make arrangements.

This instructor-led, live training in Turkey (online or onsite) is designed for intermediate-level DevOps and SRE professionals who aim to create impactful dashboards and optimize 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 Turkey (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, available Turkey (onsite or remote), is designed for data analysts looking to leverage Grafana for monitoring and visualizing data.

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

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

This instructor-led live training in Turkey (online or onsite) is targeted 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 Turkey (online or onsite) is designed for intermediate 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 Turkey (online or onsite) is designed for intermediate-level Grafana users aiming to construct interactive, drill-down dashboards featuring dynamic thresholds and contextual updates.

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

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

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

Upon completing this training, participants will be able to:

• Comprehend the purpose and core features of Grafana and Prometheus.
• Install and configure Grafana and Prometheus within a Linux environment.
• Establish fundamental data sources and dashboards in Grafana.
• Monitor system metrics and visualize data using Prometheus.

This instructor-led, live training in Turkey (online or onsite) is designed for intermediate-level cloud and DevOps engineers who wish to enhance cloud observability with Grafana and Prometheus.

Upon completing this training, participants will be able to:

• Grasp the advantages of integrating Grafana and Prometheus with cloud platforms.
• Configure Prometheus to monitor cloud-based resources.
• Set up Grafana to visualize metrics from cloud services.
• Utilize cloud-native tools and integrations to manage monitoring scalability.

Grafana and Prometheus are widely recognized industry standards for monitoring, visualizing, and alerting on IT infrastructure and application metrics through real-time dashboards and robust integrations.

This instructor-led live training, available online or on-site, targets intermediate to advanced IT professionals looking to integrate Grafana with Prometheus and various other data sources, enabling them to construct actionable visualizations and alerts across distributed systems.

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

• Install and configure Grafana and Prometheus for production-ready environments.
• Integrate diverse data sources, including SQL databases, Elasticsearch, InfluxDB, and cloud APIs.
• Design advanced dashboards featuring variables, templating, transformations, and alerts.
• Implement best practices for data modeling, performance tuning, and user access control.

Course Format

• Engaging interactive lectures and discussions.
• Extensive exercises and practical practice.
• Hands-on implementation within a live-lab environment.

Course Customization Options

• To request a tailored training session for this course, please contact us to arrange your schedule.

This instructor-led, live training in Turkey (online or onsite) is designed for beginner-level system administrators and DevOps engineers who aim to develop essential 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 Turkey (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 Turkey (online or onsite) targets advanced-level DevOps engineers and SREs who aim to effectively manage and scale Prometheus and Grafana for large environments.

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.