Mastering Cloud-Native Observability: Unlocking Real-Time Insights for Modern Application Performance
Course Overview This comprehensive course is designed to equip you with the skills and knowledge needed to master cloud-native observability and unlock real-time insights for modern application performance. Through a combination of interactive lessons, hands-on projects, and expert instruction, you'll learn how to design, implement, and manage a cloud-native observability strategy that drives business success.
Course Curriculum Module 1: Introduction to Cloud-Native Observability
- Defining Cloud-Native Observability: Understanding the concept and importance of cloud-native observability
- Benefits of Cloud-Native Observability: Exploring the benefits of cloud-native observability, including improved application performance and reduced costs
- Challenges of Cloud-Native Observability: Identifying the challenges of implementing cloud-native observability, including complexity and scalability
Module 2: Observability Fundamentals
- Monitoring vs. Observability: Understanding the difference between monitoring and observability
- Types of Observability Data: Exploring the different types of observability data, including logs, metrics, and traces
- Observability Tools and Technologies: Overview of popular observability tools and technologies, including Prometheus, Grafana, and Jaeger
Module 3: Designing a Cloud-Native Observability Strategy
- Identifying Observability Requirements: Understanding how to identify observability requirements for modern applications
- Designing an Observability Architecture: Learning how to design an observability architecture that meets business needs
- Implementing Observability as Code: Understanding how to implement observability as code using tools like Terraform and Ansible
Module 4: Implementing Cloud-Native Observability
- Deploying Observability Tools: Deploying popular observability tools, including Prometheus, Grafana, and Jaeger
- Configuring Observability Data Sources: Configuring observability data sources, including logs, metrics, and traces
- Integrating Observability with CI/CD Pipelines: Integrating observability with CI/CD pipelines using tools like Jenkins and GitLab CI/CD
Module 5: Managing Cloud-Native Observability
- Monitoring and Alerting: Understanding how to monitor and alert on observability data using tools like Prometheus and Grafana
- Troubleshooting and Debugging: Learning how to troubleshoot and debug modern applications using observability data
- Optimizing Observability Performance: Understanding how to optimize observability performance for modern applications
Module 6: Advanced Cloud-Native Observability Topics
- Machine Learning and Observability: Exploring the relationship between machine learning and observability
- Serverless Observability: Understanding the challenges and opportunities of serverless observability
- Multi-Cloud Observability: Learning how to implement observability across multiple cloud providers
Course Features - Interactive and Engaging: Interactive lessons and hands-on projects to keep you engaged and motivated
- Comprehensive and Personalized: Comprehensive curriculum tailored to your needs and goals
- Up-to-Date and Practical: Up-to-date and practical knowledge and skills that can be applied in real-world scenarios
- Expert Instructors: Expert instructors with years of experience in cloud-native observability
- Certification: Receive a certificate upon completion, issued by The Art of Service
- Flexible Learning: Flexible learning options, including online and mobile access
- Community-Driven: Community-driven discussion forums and support
- Actionable Insights: Actionable insights and hands-on projects to help you apply your knowledge
- Lifetime Access: Lifetime access to course materials and updates
- Gamification and Progress Tracking: Gamification and progress tracking to help you stay motivated and engaged
Module 1: Introduction to Cloud-Native Observability
- Defining Cloud-Native Observability: Understanding the concept and importance of cloud-native observability
- Benefits of Cloud-Native Observability: Exploring the benefits of cloud-native observability, including improved application performance and reduced costs
- Challenges of Cloud-Native Observability: Identifying the challenges of implementing cloud-native observability, including complexity and scalability
Module 2: Observability Fundamentals
- Monitoring vs. Observability: Understanding the difference between monitoring and observability
- Types of Observability Data: Exploring the different types of observability data, including logs, metrics, and traces
- Observability Tools and Technologies: Overview of popular observability tools and technologies, including Prometheus, Grafana, and Jaeger
Module 3: Designing a Cloud-Native Observability Strategy
- Identifying Observability Requirements: Understanding how to identify observability requirements for modern applications
- Designing an Observability Architecture: Learning how to design an observability architecture that meets business needs
- Implementing Observability as Code: Understanding how to implement observability as code using tools like Terraform and Ansible
Module 4: Implementing Cloud-Native Observability
- Deploying Observability Tools: Deploying popular observability tools, including Prometheus, Grafana, and Jaeger
- Configuring Observability Data Sources: Configuring observability data sources, including logs, metrics, and traces
- Integrating Observability with CI/CD Pipelines: Integrating observability with CI/CD pipelines using tools like Jenkins and GitLab CI/CD
Module 5: Managing Cloud-Native Observability
- Monitoring and Alerting: Understanding how to monitor and alert on observability data using tools like Prometheus and Grafana
- Troubleshooting and Debugging: Learning how to troubleshoot and debug modern applications using observability data
- Optimizing Observability Performance: Understanding how to optimize observability performance for modern applications
Module 6: Advanced Cloud-Native Observability Topics
- Machine Learning and Observability: Exploring the relationship between machine learning and observability
- Serverless Observability: Understanding the challenges and opportunities of serverless observability
- Multi-Cloud Observability: Learning how to implement observability across multiple cloud providers