Microservices Observability, Resilience, Monitoring on .Net

Microservices Observability, Resilience, Monitoring on .Net, available at $69.99, has an average rating of 4.41, with 51 lectures, 1 quizzes, based on 474 reviews, and has 5794 subscribers.

You will learn about Microservices Observability with Distributed Logging Elastic Stack which includes Elasticsearh + Logstach + Kibana Aspnet Structured Logs with SeriLog Microservices Resilience and Fault Tolerance using Polly Retry Pattern on Microservices Communication Circuit-Breaker Patterns on Microservices Communication Microservices Health Monitoring with using WatchDog Aspnet health check implementation with custom hc methods Microservices Distributed Tracing with OpenTelemetry using Zipkin Containerize All Microservices with SeriLog using Docker Compose for Logging on ElasticSearch and Kibana Use IHttpClientFactory to implement resilient HTTP requests Implement HTTP call retries with exponential backoff with IHttpClientFactory and Polly policies Apply Retry Pattern with Polly policies on HttpClientFactory for Aggregator Microservices Apply Circuit Breaker Pattern with Polly policies on HttpClientFactory for Aggregator Microservices Using Polly for Database Migration Retries for Ordering EF Core Sql Server Migration Microservices Distributed Tracing with OpenTelemetry using Zipkin This course is ideal for individuals who are Beginner of AspNet Core developers who interested in APIs and Microservices or C# developers interested in learning how to build Microservices on .Net It is particularly useful for Beginner of AspNet Core developers who interested in APIs and Microservices or C# developers interested in learning how to build Microservices on .Net.

Enroll now: Microservices Observability, Resilience, Monitoring on .Net

Summary

Title: Microservices Observability, Resilience, Monitoring on .Net

Price: $69.99

Average Rating: 4.41

Number of Lectures: 51

Number of Quizzes: 1

Number of Published Lectures: 51

Number of Published Quizzes: 1

Number of Curriculum Items: 52

Number of Published Curriculum Objects: 52

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

Microservices Observability with Distributed Logging
Elastic Stack which includes Elasticsearh + Logstach + Kibana
Aspnet Structured Logs with SeriLog
Microservices Resilience and Fault Tolerance using Polly
Retry Pattern on Microservices Communication
Circuit-Breaker Patterns on Microservices Communication
Microservices Health Monitoring with using WatchDog
Aspnet health check implementation with custom hc methods
Microservices Distributed Tracing with OpenTelemetry using Zipkin
Containerize All Microservices with SeriLog using Docker Compose for Logging on ElasticSearch and Kibana
Use IHttpClientFactory to implement resilient HTTP requests
Implement HTTP call retries with exponential backoff with IHttpClientFactory and Polly policies
Apply Retry Pattern with Polly policies on HttpClientFactory for Aggregator Microservices
Apply Circuit Breaker Pattern with Polly policies on HttpClientFactory for Aggregator Microservices
Using Polly for Database Migration Retries for Ordering EF Core Sql Server Migration
Microservices Distributed Tracing with OpenTelemetry using Zipkin

Who Should Attend

Beginner of AspNet Core developers who interested in APIs and Microservices
C# developers interested in learning how to build Microservices on .Net

Target Audiences

Beginner of AspNet Core developers who interested in APIs and Microservices
C# developers interested in learning how to build Microservices on .Net

When you are developing projects in microservices architecture, it is crucial to following Microservices Observability, Microservices Resilience and Monitoringprinciples.

So, we will separate our Microservices Cross-Cutting Concerns in 4 main pillars;

Microservices Observabilitywith Distributed Logging using ElastichSearch
Microservices Resilience and Fault Tolerance with Appling Retry and Circuit-Breaker patterns using Polly
Microservices Monitoring with Health Checks using WatchDog
Microservices Tracingwith OpenTelemetryusing Zipkin

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 architecturestyle.

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 Concernsfor 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 SeriLogNuget 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 Retryand Circuit-Breaker Design Patternson 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.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Prerequisites and Source Code

Lecture 3: Run the Base Application

Lecture 4: Why Microservices need Observability ? Example Case of Shopping Basket Checkout

Chapter 2: Microservices Observability with Distributed Logging with Elastic Stack

Lecture 1: Introduction – Distributed Logging with Elastic Stack

Lecture 2: What is Elastic Search ?

Lecture 3: What is Kibana and SeriLog ?

Lecture 4: AspNet Logging Explained

Lecture 5: Aspnet Log Levels and Filter Logs

Lecture 6: Adding ElasticSearch and Kibana image into Docker-Compose File for Multi-Contain

Lecture 7: Intall and Configure SeriLog For ElasticSearch and Kibana Sink Integration

Lecture 8: Test SeriLog For ElasticSearch and Kibana Sink Integration in Shopping Web Micro

Lecture 9: Create SeriLog Common Logging Library For ElasticSearch and Kibana Sink

Lecture 10: Adding SeriLog Common Logging Library Project References to Aspnetrun Shopping

Lecture 11: Adding LoggingDelegatingHandler for Intercepting Microservices Request-Response

Lecture 12: Adding SeriLog for ShoppingAggregator Microservices for Logging on ElasticSearch

Lecture 13: Adding SeriLog for Catalog.API Microservices for Logging on ElasticSearch

Lecture 14: Adding SeriLog for Basket.API Microservices for Logging on ElasticSearch

Lecture 15: Adding SeriLog for Discount.API Microservices for Logging on ElasticSearch

Lecture 16: Adding SeriLog for Discount.Grpc Microservices for Logging on ElasticSearch

Lecture 17: Adding SeriLog for Ordering.API Microservices for Logging on ElasticSearch

Lecture 18: Adding SeriLog for OcelotApiGw Microservices for Logging on ElasticSearch

Lecture 19: Containerize All Microservices with SeriLog using Docker Compose for Logging

Lecture 20: Containerize All Microservices with SeriLog using Docker Compose for Logging 2

Lecture 21: Test on Docker environment – SeriLog Microservices into Docker Compose

Chapter 3: Microservices Resilience and Fault Tolerance using Polly

Lecture 1: Introduction – Microservices Resilience and Fault Tolerance with using Polly

Lecture 2: Microservices Resilience Patterns

Lecture 3: Retry pattern

Lecture 4: Circuit breaker pattern

Lecture 5: Bulkhead Pattern

Lecture 6: Apply Retry Pattern with Polly policies on HttpClientFactory for Shopping.Aggreg

Lecture 7: Apply Circuit Breaker Pattern with Polly policies on HttpClientFactory

Lecture 8: Develop Advance Policies for Retry and Circuit Breaker Pattern with Polly

Lecture 9: Apply Policies for Retry and Circuit Breaker Pattern with Polly policies

Lecture 10: Using Polly for Database Migration Retries for Ordering.API EF.Core Sql Server

Lecture 11: Using Polly for Database Migration Retries for Discount.API/Grpc Dapper Postgres

Chapter 4: Microservices Health Monitoring with using WatchDog

Lecture 1: Introduction – Microservices Health Monitoring with using WatchDog

Lecture 2: Asp.Net Health Checks

Lecture 3: Adding Health Check for Catalog.API Microservices with Checking MongoDb Connect

Lecture 4: Adding Health Check for BasketAPI Microservices with Checking Redis and RabbitMQ

Lecture 5: Adding Health Check for Discount Microservices with Checking PostgreSQL Connect

Lecture 6: Adding Health Check for Ordering.API Microservices with Checking Sql Server

Lecture 7: Adding Health Check for Shopping.Aggregator Microservices with Checking Internal

Lecture 8: Adding Health Check for AspnetRunBasics Shopping Microservices with OcelotGw

Lecture 9: Developing WebStatus App for Centralized Microservices Health Monitoring

Lecture 10: Developing WebStatus App for Centralized Microservices Health Monitoring Part 2

Lecture 11: Containerize WebStatus Health Monitoring Microservices using Docker Compose

Lecture 12: Test All Microservices on Docker environment – WebStatus Health Monitoring Micro

Chapter 5: Microservices Distributed Tracing with OpenTelemetry using Zipkin

Lecture 1: Introduction – Distributed Tracing with OpenTelemetry using Zipkin

Lecture 2: Assignment – Distributed Tracing with OpenTelemetry using Zipkin

Chapter 6: Thanks

Lecture 1: Bonus Lecture

Instructors

Mehmet Ozkaya
Software Architect | Microservices | .NET | AWS | Azure

Rating Distribution

1 stars: 12 votes
2 stars: 12 votes
3 stars: 42 votes
4 stars: 144 votes
5 stars: 264 votes

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