TIBCO for Developers Training Course

Targeting advanced DevOps and SRE specialists, this instructor-led live training in Latvia (online or onsite) is designed to refine your skills in alerting and automation using Grafana and Prometheus.

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

• Construct and maintain sophisticated alerting rules within Prometheus.
• Establish webhook integrations between Prometheus Alertmanager and external tools.
• Accelerate issue resolution through automated alert response mechanisms.
• Utilize Grafana for precise alert visualization and management.

This instructor-led live training, delivered Latvia (either online or onsite), is designed for intermediate-level administrators and developers aiming to enhance their comprehension of Elasticsearch administration. The course focuses on advanced Kibana dashboard development techniques and comprehensive system maintenance.

By the end of the session, participants will be able to:

• Set up and configure Elasticsearch and Kibana environments for advanced administrative functions and dashboard construction.
• Create and manage Elasticsearch indices, mappings, and data structures.
• Develop complex queries and filters to uncover valuable insights within Elasticsearch data.
• Design and build interactive dashboards in Kibana utilizing a variety of visualization types and techniques.
• Implement best practices for Elasticsearch and Kibana administration, performance optimization, and issue resolution.

This live, instructor-led training is offered in Latvia (either online or onsite) and is designed for intermediate-level DevOps and SRE professionals looking to build compelling dashboards and enhance their monitoring workflows with Grafana and Prometheus.

By the end of the session, participants will be able to:

• Master best practices for creating effective dashboards.
• Develop and set up advanced Grafana dashboard features.
• Employ Grafana templating for dynamic, reusable designs.
• Establish alerting protocols to sharpen operational focus.

This instructor-led, live training delivered in Latvia (either online or on-site) is designed for intermediate-level developers and DevOps engineers seeking to effectively instrument their applications to export and monitor custom metrics via Prometheus and Grafana.

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

• Appreciate the significance of custom metrics in application monitoring strategies.
• Instrument applications to export custom metrics specifically for Prometheus.
• Design and configure Grafana dashboards to visualize these custom metrics.
• Apply best practices for seamless integration of monitoring into the development lifecycle.

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

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

• Set up the required development environment for creating visualizations in Grafana.
• Configure Grafana for high availability.
• Customize panels and dashboards with data.
• Configure a reverse proxy to improve loading performance.

This instructor-led, live training in Latvia (online or onsite) is tailored for intermediate-level data analysts aiming to master and apply the advanced features and components of Grafana for superior data visualization and analysis.

By the conclusion of this program, participants will have the ability to:

• Acquire a thorough understanding of advanced Grafana concepts and components.
• Leverage template variables and dynamic dashboards to enhance visual data representation.
• Employ the Grafana Query Language for constructing complex queries.
• Implement best practices for scaling Grafana, performance optimization, and high availability assurance.

This live, instructor-led session in Latvia, delivered either online or onsite, is tailored for intermediate-level system administrators and monitoring experts aiming to utilize Grafana effectively for monitoring solutions, dashboard management, and alert creation.

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

• Articulate the distinctions between observability and monitoring.
• Install and initialize the Grafana server.
• Configure connections to various data sources, including Prometheus, InfluxDB, and ElasticSearch.
• Create, oversee, and personalize dashboards and charts.
• Utilize variables and queries to generate dynamic dashboards.
• Establish notification and alerting workflows within Grafana.
• Install and maintain plugins to broaden Grafana's operational scope.

This live, instructor-led training, delivered in Latvia (either online or onsite), is tailored for intermediate Grafana users looking to develop interactive, drill-down dashboards equipped with dynamic thresholds and contextual updates.

By the conclusion of this program, learners will be able to:

• Construct dashboards that respond to user interactions, including actions like clicking on graph bars
• Implement visual drill-downs that update content in-place, eliminating the need for new tabs
• Configure pie charts and detailed panels based on selected filters
• Utilize dynamic thresholds that adjust according to user input and real-time data

This live, instructor-led training, conducted in Latvia (virtually or in-person), is designed for introductory-level IT specialists and DevOps engineers looking to acquire foundational skills in Grafana and Prometheus.

By the conclusion of this program, participants will have the capability to:

• Comprehend the roles and significant features of Grafana and Prometheus.
• Install and adjust settings for Grafana and Prometheus on a Linux platform.
• Establish foundational data sources and create dashboards within Grafana.
• Observe system metrics and present data through Prometheus.

This live, instructor-led course, delivered in Latvia (either online or onsite), is tailored for intermediate cloud and DevOps engineers seeking to enhance their cloud observability capabilities using Grafana and Prometheus.

Following this training, participants will be capable of:

• Grasping the value proposition of integrating Grafana and Prometheus with cloud services.
• Configuring Prometheus to oversee cloud-hosted resources.
• Setting up Grafana for the effective visualization of cloud metrics.
• Applying cloud-native integrations to support scalable monitoring needs.

This live, instructor-led program, delivered in Latvia (via online or on-site formats), is designed for junior system administrators and DevOps engineers looking to build core monitoring competencies using Grafana and Prometheus.

By the conclusion of this program, attendees will be prepared to:

• Comprehend the role and value of monitoring in IT settings.
• Set up and adjust Grafana and Prometheus for elementary surveillance operations.
• Construct basic dashboards and alerts to display system performance.
• Execute best practices for monitoring system uptime and efficiency.

This instructor-led, live training in Latvia (online or onsite) is tailored for advanced Kubernetes administrators and DevOps engineers seeking to refine their monitoring skills for Kubernetes clusters using Prometheus and Grafana.

By the conclusion of this training, participants will be capable of:

• Configuring Prometheus and Grafana for Kubernetes monitoring.
• Observing key metrics for pods, nodes, and services.
• Building dynamic dashboards to visualize cluster health and performance.
• Deploying alerting strategies for proactive issue resolution.
• Implementing best practices for scaling monitoring solutions in Kubernetes environments.

This live, instructor-led course, available Latvia (remotely or on-site), is tailored for advanced DevOps engineers and SREs aiming to effectively manage and scale Prometheus and Grafana across large environments.

Following this training, participants will be capable of:

• Designing Prometheus and Grafana setups for extensive, distributed architectures.
• Optimizing Prometheus for peak performance in high-traffic contexts.
• Configuring Grafana for large datasets and complex visualization needs.
• Applying advanced troubleshooting and scalability techniques.