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Backend flows explained deeply
·
Module 12
Deployment, Containerization, and Observability
Containers vs. VMs: A Docker Deep Dive
Explain what containers are, how they differ from virtual machines, and write a Dockerfile for a Python application.
2
Containerizing Multi-Service Backends with Docker Compose
Use Docker Compose to define and run a multi-service backend environment (app, database, cache).
3
CI/CD Pipeline Stages for Backend Services
Describe the key stages of a CI/CD pipeline for a backend service.
4
Structured Logging in Python
Implement structured logging in a Python application and explain its benefits over unstructured logs.
5
Monitoring Backend Health with RED Metrics
Identify key backend metrics to monitor (latency, error rate, throughput) using the RED method.
Implementing Liveness and Readiness Probes
Implement liveness and readiness health check endpoints in a backend application.
7
Graceful Shutdown for Backend Applications
Implement graceful shutdown in a backend application to correctly handle termination signals (SIGTERM).
8
Securely Managing Application Secrets
Manage application secrets securely using environment variables and a secrets management tool.
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