New Course! Microservices Observability, Resilience, Monitoring on .Net
I have just published a new course — Microservices Observability, Resilience, Monitoring on .Net
In this course, we’re going to learn;
- Microservices Observability with Distributed Logging using ElasticSearch and Kibana
- Microservices Resilience and Fault Tolerance with appling Retry and Circuit-Breaker patterns using Polly
- Microservices Monitoring with Health Checks using WatchDog
- Microservices Tracing with OpenTelemetry using Zipkin
Through 52 lectures and 9.5 hours worth of HD-quality content, you’re going to journey through some of the deepest depths of the Microservices Cross-Cutting Concerns.
I am offering a LIMITED BEST PRICE OFF DISCOUNT FOR YOU at the launch. This offer EXPIRES IN 5 DAYS.
USE BELOW LINK :
Course Details
When you are developing projects in microservices architecture, it is crucial to following Microservices Observability, Microservices Resilience and Monitoring principles.
So we are going to follow this 4 main pillars and develop our microservices reference application with using latest implementation and best practices on cloud-native microservices architecture.
We have already developed this microservices reference application in the microservices course, So with this course, we will extend this microservices reference application with Cross-Cutting Concerns for provide microservices resilience.
We are going to cover;
Cross-Cutting Concerns in 4 main parts;
- Microservices Observability with Distributed Logging,
This applying Elastic Stack which includes Elasticsearh + Logstach + Kibana and SeriLog nuget package for .net microservices.
We will docker-compose Kibana image from docker hub and feed Kibana with elastic stack
- Microservices Resilience and Fault Tolerance using Polly
This will apply Retry and Circuit-Breaker Design Patterns on microservices communication with creating polly policies.
- Microservices Health Monitoring with using WatchDog
This will be the aspnet health check implementation with custom health check methods which includes database availabilities — for example in basket microservices, we will add sub-health check conditions for connecting Redis and RabbitMQ.
- Microservices Distributed Tracing with OpenTelemetry using Zipkin
This will be the implementation of OpenTelemetry with Zipkin.
By the end of this course, you’ll learn how to design and developing Microservices Cross-Cutting Concerns — Microservices Observability with Distributed Logging, Health Monitoring, Resilient and Fault Tolerance with using Polly”.
Before beginning the course, you should be familiar with C#, ASP.NET Core and Docker. This course will have good theoretical information but also will be 90% of hands-on development activities.
Thanks,
Mehmet Ozkaya
