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Course Content
1. Course Overview
0/2
Introduction
02:33
Course Overview
05:06
2. Work Environment Setup
0/4
Work environment
00:39
Create Linux workstation VM on cloud
04:50
Build code
07:52
Workstation VM backup
04:43
3. System Components – Languages & Frameworks
0/11
System components overview
03:56
Running the system on cloud Linux VM
18:56
Web app architecture and technology selection
14:11
Python Django web app code overview
04:11
Services architecture
07:09
Services technology selection
04:56
Java SpringBoot services code overview
04:09
Database technology selection
08:19
Postgres RDBMS schema overview
07:15
Single page app technology selection
04:05
ReactJS SPA architecture
04:06
4. Docker Containers – Isolating component dependencies and environment
0/11
Why containerize application components
03:42
System with docker containers
01:21
Dockerize django webapp
23:40
Docker compose for automation
11:28
Dockerize postgres database
06:01
Dockerize java springboot services
14:47
Dockerize reactjs single page app
03:12
Running all dockerized components
01:14
Running system with docker network
05:32
Docker network and volumes
18:18
System review with docker containers
03:12
5. Microservices – Gateway, Discovery & Load Balancing
0/9
Client routing challenge & Gateway services
04:53
Netfix Zuul gateway service code and configuration
05:24
Running system with Netfliz Zuul gateway service
09:47
Static routing challenge & Discovery services
07:53
Netflix Eureka discovery service code and configuration
13:26
Running system with Netflix Eureka discovery service
12:10
Client based & Server based Load balancing
08:29
Netflix Ribbon load balancer code and configuration
03:23
Running system with Nginx & Ribbon load balancers
23:43
6. Centralized Logging with Elasticsearch, Fluentd & Kibana (EFK stack)
0/6
System Observability – Logging, Tracing and Monitoring
05:14
Logging challenges in large-scale systems
04:29
Centralized logging architecture
06:12
Draft Lesson[SHANA]4. Incrementing VM capacity
01:40
Configuration of Elasticsearch, Fluentd & Kibana (EFK stack)
11:39
Observing system with Elasticsearch, Fluentd, Kibana stack
14:52
7. Distributed Tracing with Uber Jaeger
0/6
Tracing challenges in large-scale systems
01:42
Distributed tracing architecture
03:05
Distributed tracing with Uber Jaeger
03:58
Distributed tracing core mechanism
05:30
Uber Jaeger instrumentation code and configuration
13:31
Observing API latency using Jaeger tracing
19:07
8. Metrics Monitoring with Prometheus
0/4
Metrics for large-scale systems
03:03
Exposing application component metrics for Prometheus
03:07
Prometheus configuration for metrics
07:12
Observing system metrics through Prometheus
11:21
9. Data Caching with Redis Cache
0/6
Challenges of high request and data volume
01:21
Caching for managing read only load
04:03
Caching technology selection
04:08
Service code changes for Redis cache
05:29
Redis cache configuration
02:24
Running system with Redis cache
05:20
10. Asynchronous Processing with RabbitMQ
0/5
Managing write only load for Async workflows
04:57
Messaging queue technology selection
03:19
Service code changes for RabbitMQ
12:52
RabbitMQ configuration
03:54
Running system with RabbitMQ
11:18
11. Horizontal Scalability with Cassandra
0/6
RDBMS Limitations and Data Partitioning
11:28
Distributed database technology selection
05:21
Cassandra schema vs Postgres schema
05:22
Service code changes for Cassandra
08:12
Cassandra configuration
10:38
Running system with highly available Cassandra database cluster
17:11
12. Deployment with Kubernetes on Google Cloud
0/12
Moving from test deployment to production deployment
01:36
Reasons for Kubernetes and Cloud deployment
05:13
Kubernetes cluster architecture
02:16
Setting up Cloud Container Registry
10:11
Creating Kubernetes Cluster on Google Cloud
07:31
Kubernetes configuration for the system
01:05:41
Deploying system on Kubernetes
32:32
Exposing system to Internet using External Load Balancers
10:37
High availability with Kubernetes
09:56
Auto-scaling with Kubernetes
10:13
Rolling upgrades with Kubernetes
13:38
Shutting down Kubernetes cluster
03:22
Implementing Software Architecture of a Large-Scale System
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