What is the difference between monitoring and observability?

Monitoring tells you when something is wrong, while observability helps you understand why. This course covers both — from setting up metrics, logs, and traces to using them for anomaly detection, debugging, and automated responses.

What tools will I learn to use?

You'll get hands-on experience with Prometheus, Grafana, Loki, the ELK stack (Elasticsearch, Logstash, Kibana), and Jaeger for distributed tracing. The course also covers integration with Kubernetes and cloud-native architectures.

Do I need prior experience with any of these tools?

No prior experience with specific observability tools is required. Basic familiarity with Linux, containers, and distributed systems is helpful, but the course introduces each tool from scratch.

Does the course cover observability in Kubernetes environments?

Yes. A dedicated module covers observability in Kubernetes — using Prometheus and Grafana in K8s, sidecar patterns, and monitoring serverless and cloud-native architectures.

Is the course delivered live or is it pre-recorded?

The course is delivered live and online. You can interact with the instructor in real-time, ask questions via chat or audio, and participate in hands-on exercises. Video recordings are provided after the course for review.

Will I receive a certificate after completing the course?

Yes, all participants receive a shareable online certificate of attendance. You can also take an optional 1-hour exam, with your score printed on the certificate.

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Modern Observability: From Logs to Insights

Achieving Full System Visibility

Level: intermediate

Duration: 2 days

Language: English

This is a 2-day practical workshop that covers all aspects of observability, including metrics, logs, and traces, as well as advanced topics like anomaly detection, deployment strategies, and modern observability tools.

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About the Modern Observability: From Logs to Insights Course

Observability is crucial in modern systems to ensure reliability, performance, and security. This 2-day practical workshop dives deep into observability concepts and tools such as Prometheus, Grafana, Loki, ELK, and Jaeger. It's designed for developers, system administrators, and DevOps engineers looking to build, manage, and scale observable systems. The course includes hands-on exercises based on real-world scenarios. Participants will receive comprehensive materials, including cheat sheets, access to online slides, and code examples.

What You'll Learn in This workshop

Understand the core concepts and importance of observability in modern systems
Implement and configure tools like Prometheus, Grafana, Loki, ELK, and Jaeger
Set up anomaly detection, alerting, and automated responses based on monitoring data
Integrate observability into cloud-native architectures and CI/CD pipelines

Modern Observability: From Logs to Insights Outline

1. Outline

• Introduction to Observability: Definition, importance, key concepts (metrics, logs, traces), and an overview of the observability stack.
• Metrics with Prometheus: Introduction, setting up Prometheus, writing PromQL queries, and best practices for metrics collection.
• Visualization with Grafana: Introduction to Grafana, integrating with Prometheus, creating dashboards and alerts, and advanced visualization techniques.
• Log Aggregation with Loki: Overview of Loki, integration with Prometheus and Grafana, setting up log collection pipelines, and querying logs with LogQL.
• Centralized Logging with ELK: Introduction to ELK (Elasticsearch, Logstash, Kibana), setting up ELK for centralized logging, ingesting and parsing logs, and visualizing logs with Kibana.
• Anomaly Detection and Alerting: Importance of anomaly detection, setting up anomaly detection with Prometheus and Grafana, configuring alerts, and real-world use cases.
• Distributed Tracing: Introduction to distributed tracing, setting up Jaeger for tracing, integrating tracing with microservices, and analyzing trace data.
• Audit Logging and Security Monitoring: Introduction to audit logging, setting up and configuring audit logs, integrating with ELK and Loki, and monitoring security events.
• Deployment, Redeployment, and Rollback Based on Monitoring Data: Using monitoring data in CI/CD pipelines, automated rollbacks, and case studies on deployment failures and recovery.
• Advanced Log Aggregation Techniques: Scaling log aggregation, best practices for log retention, log enrichment, and troubleshooting with aggregated logs.
• Integrating Observability with Cloud-Native Architectures: Observability in Kubernetes, using Prometheus and Grafana in Kubernetes, sidecar patterns, and monitoring serverless architectures.
• Case Studies and Hands-On Workshop: Real-world observability implementations, setting up a full observability stack (Prometheus, Grafana, Loki, ELK, Jaeger), group discussions, and Q&A.