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Advanced Level

Note

The difficulty of a particular subject is defined by 🟢 🟡 🔴 from easy to hard.

The importance of a particular subject is defined by ⭐. 0 is not important, 1 is important, 2 is considerably important, 3 is very important.

Database Management

  • 🟡⭐ Database Sharding: Explore database sharding and its use cases.
  • 🟡⭐ Database Replication: Understand database replication and its use cases.
  • 🟡⭐ Database Partitioning: Learn about database partitioning and its use cases.
  • 🟡⭐ Database Scaling: Learn about database scaling and its use cases.
  • 🟡⭐ Graph Databases:
    • 🟢 Neo4j: Learn about graph databases and their applications.

Python Knowledge

  • 🔴⭐⭐ Concurrency and Multithreading: Learn how to create concurrent and multithreaded applications in Python.
  • 🔴⭐⭐ Asynchronous Programming: Understand async/await for asynchronous programming.
  • 🟡⭐ Metaclasses: Understand metaclasses for advanced class customization.
  • 🟡⭐ Context Managers: Learn to work with context managers for resource management.

Containerization and Orchestration

  • 🔴⭐⭐ Kubernetes Deployment: Understand how to deploy and manage applications on a Kubernetes cluster.
  • 🔴⭐ Kubernetes Services: Learn about Kubernetes services like LoadBalancer, NodePort, and ClusterIP.
  • 🔴⭐⭐ Helm: Understand how to package and deploy applications on Kubernetes using Helm charts.

Design Knowledge

  • 🟡⭐ Architectural Patterns
    • 🟡⭐ Event-Driven Architecture: Understand the event-driven architecture pattern and its use cases.
    • 🟡 Functional Programming: Learn about functional programming concepts and how to apply them in Python.
  • 🟡⭐ Approaches
    • 🟡 Test Driven Development: A software development process that relies on the repetition of a very short development cycle: first the developer writes a failing automated test case that defines a desired improvement or new function, then produces code to pass that test and finally refactors the new code to acceptable standards.
    • 🟡 Behavior Driven Development: A software development methodology in which an application is specified and designed by describing how its behavior should appear to an outside observer.

Monitoring and Logging

  • 🟡⭐⭐ Monitoring Tools: Explore tools like Prometheus for system and application monitoring.
    • 🟢 Metrics Collection: Learn how Prometheus collects metrics from monitored targets.
    • 🟡 Query Language: Understand PromQL, the Prometheus query language, for fetching data and setting alerts.
    • 🟡 Visualization: Explore how to visualize Prometheus data using tools like Grafana.
  • 🟢⭐ Distributed Tracing: Understand distributed tracing concepts and tools like Jaeger or Zipkin.

Security Practices

  • 🔴⭐ Security Testing and Vulnerability Assessments: Learn about various security testing techniques, including penetration testing, vulnerability scanning, and code reviews. Understand the importance of regularly testing applications and infrastructure for vulnerabilities. Familiarize yourself with tools and methodologies used in security testing to identify and address potential weaknesses.
  • 🟡⭐⭐⭐ Secure Software Development Lifecycle (SDLC): Incorporate security into the software development lifecycle. Understand secure coding practices, such as input validation, output encoding, proper error handling, and secure use of libraries and frameworks. Implement security checks and code reviews throughout the development process to identify and fix security issues early on.
  • 🔴⭐⭐ Security Incident Response: Learn how to respond to security incidents effectively. Understand the importance of incident response plans, incident detection and analysis, containment, eradication, and recovery. Familiarize yourself with incident response frameworks and best practices to minimize the impact of security incidents.
  • 🟡⭐⭐ Cloud Security: Gain knowledge of security best practices for cloud environments, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). Understand the shared responsibility model, secure configuration of cloud services, identity and access management, and monitoring and logging in the cloud.
  • 🟡⭐⭐ Secure APIs: Understand the security considerations for designing and implementing secure APIs. Learn about API authentication, authorization, input validation, and protection against common API vulnerabilities like injection attacks, broken object level authorization, and insecure direct object references.

Cloud Services

  • 🟡⭐ Serverless Computing: Understand serverless concepts and frameworks.
  • 🟢⭐ Infrastructure as Code (IaC): Learn about IaC tools like Terraform and CloudFormation.
  • 🟡⭐ Managed Services: Understand the concept of managed services and when to use them.