Thread by @girishcto

Most CS undergrads go through four years without learning how to prepare for jobs in #Cloud Dev firms.

They learn OS, DBs, languages like #Javascript, #C++, #python, etc. but little on Cloud-related topics.

Colleges/Universities should consider incorporating these 10 topics.👇

1.History and evolution of Distributed Computing to Cloud computing
-#Grid computing
-#Parallel computing
-#Cluster computing
-Utility computing
-#Virtualization
-Service orientation
while talking about performance, robustness, high availability, delivering SLAs

2. Why Cloud Apps?
- Types of Cloud (Public, Private, VPC, Hybrid, Multi-Cloud)
- Types of offerings (IaaS, PaaS, SaaS)
- Service level objectives (SLOs) and Service Level Agreements (SLAs)
- Regulatory issues, Sovereign Clouds, Cloud Security

3.Building Cloudnative Apps
- Encapsulation, loose coupling
- Interface as a contract
- RESTful APIs. REST architecture. Stateless APIs. OO versus RESTful APIs. API best practices.
- API economy
- API keys and security tokens

4.Microservice Architecture
-vs. Monolithic apps
- Independent configuration/horizontal scaling
- Microservice boundaries: separation of concerns, the common closure principle, bounded context, granularity
- Discovery – discover components in the system
- 12 Factor Apps

5. Communication between Microservices
- REST, RPC and Messaging (eventing). Tradeoffs and guidelines when to use which mechanism
- Orchestration of microservices
- Secured communication
- Service Mesh (e.g. Istio) architecture and benefits

6. CI/CD: Managing Apps/Infra
Infrastructure as a code (#terraform)
Automation: touchless operations, #AIOps
Continuous Integration and Deployment (#CI/CD)
Shift left testing
Metrics: deployments frequency, change failure rate
Feature flags, A/B testing, #Canary deployment,#NPS

7. Virtualization and software distribution
- Physical-virtual services (compute, storage, network)
- Virtualization: VMs, hypervisors, Hostos, guestOS
- Containers (Docker): Image management
- Container orchestration (K8s).
- Encapsulate dependencies and build for Portability

8. Storing data on the Cloud
- Traditional relational data stores
- Non-SQL data, Object stores
- Transactional versus eventually consistent
- Backup and recovery
- CAP (consistency, availability, partitioning) theorem
- Types of storage - #COS, #S3, File, Block, etc.

9 Robust and secure Apps
- Why things will go wrong
- #HA architectures, load balancers, storing state
- Limiting blast radius
- Prevent failures before happening: chaos monkey
- Detect failures : #observability, monitoring, logging
- Recover from failures: #RCA, #CIE, #MTTR

10. Hardening Apps for security
- NW versus App security, firewalls
- Auth and access controls, 2FA, Password rotations, Audit logs
- Secrets, storing secrets (Vault), password rotation
- App scanning, Dast, Mend, WhiteSource
- Vulnerability patch
- Conf drift
- Threat modeling