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Monitoring and Observability for Development and DevOps

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Duration

16 Hours

level

Beginner

Rating

4.6

Review

64 Reviews

Enrolled

454 Enrolled

Learn the essentials of monitoring and observability in development and DevOps. Explore tools and techniques for tracking system performance, identifying bottlenecks, and ensuring the reliability and scalability of software in production environments.

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At a Glance

Learn to implement logging and gain a thorough knowledge of telemetry using OpenTelemetry and tracing using Kubernetes. Develop hands-on experience with a variety of tools such as Prometheus, Grafana, Mezmo (LogDNA), OpenTelemetry, and Instana.

Application developers and DevOps professionals must ensure their app works at its best. However, these app may need help with bugs, slow speed, or subpar performance. Professionals need to monitor and observe its performance continually.

Application monitoring involves identifying, measuring, and evaluating the effectiveness of an application. On the other hand, Observability refers to how well an app can be monitored by the data obtained from monitoring. Both monitoring and observability are necessary to gain insights into the system and ensure its proper functioning.

This course thoroughly introduces monitoring and observability, covering fundamental concepts and popular tools like Prometheus, Grafana, Mezmo (LogDNA), and Instana. You will also learn about the three pillars of observability and tracing for container applications and gain hands-on experience with the OpenTelemetry framework.

Throughout the course, you will complete interactive hands-on labs to apply your knowledge and gain experience with the tools and techniques used by software and DevOps professionals.

By the end of this course, you will be able to demonstrate your knowledge of monitoring and observability, and you will gain the confidence to perform these tasks in a practical setting.

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Monitoring and Observability for Development and DevOps
Monitoring and Observability for Development and DevOps
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