Exploring Innovations in Cloud Technologies

Transcript

1. Exploring Innovations in Cloud Technologies Sena Yakut, 2025
2. About Me! Sena Yakut, Cloud Security Architect @CyberWhiz All links about me
3. Introduction to Cloud Computing •What is Cloud Computing? • On-demand availability of computing resources over the internet. • Pay-as-you-go model. •Types of Cloud Services: • IaaS (Infrastructure as a Service) – VM • PaaS (Platform as a Service) - Heroku, AWS Elastic Beanstalk • SaaS (Software as a Service) - Google Docs, Dropbox
4. Introduction to Cloud Computing Types of Cloud Services: • IaaS (Infrastructure as a Service) – VM • PaaS (Platform as a Service) - Heroku, AWS Elastic Beanstalk • SaaS (Software as a Service) - Google Docs, Dropbox
5. •2000s: Introduction of Virtualization and Cloud Storage. •2010s: Rise of Multi-Cloud & Hybrid Cloud. •2020s: Serverless, AI-driven, and Edge Computing. * https://kmteq.com/blogs/is-cloud-computing-solutions-the-future/
6. Why Cloud? Benefits & Real-World Impact •Scalability: Businesses can expand resources as needed. •Cost Efficiency: Pay for what you use. •Accessibility: Work from anywhere with an internet connection. •Innovation Enabler: AI, Machine Learning, and IoT integration. Example: Netflix uses AWS to stream content globally, handling millions of requests per second. * https://aws.amazon.com/solutions/case-studies/innovators/netflix/
7. Cloud Deployment Models •Public Cloud: Shared resources, pay-as- you-go (AWS, Google Cloud). •Private Cloud: Dedicated infrastructure for a single company. •Hybrid Cloud: Combination of public and private. •Multi-Cloud: Using multiple cloud providers.
8. Recent Innovations in Cloud Technologies Serverless Computing • No need to manage infrastructure. • Pay only when functions run. • Example: AWS Lambda, Google Cloud Functions. AI & Machine Learning in Cloud • AI-powered services for businesses. • Example: Chatbots, Image Recognition (AWS Rekognition, Google Vertex AI).
9. Recent Innovations in Cloud Technologies Quantum Computing & Cloud • Supercomputing for complex problem- solving. • Example: IBM Quantum, AWS Braket. Green Cloud Computing • Sustainable data centers. • Example: Google’s carbon-neutral cloud services.
10. • Edge Computing: Processing data closer to the source. • IoT Integration: Cloud-powered smart devices. Example: AWS IoT Core helps connect billions of devices globally. Edge Computing & IoT in Cloud
11. • Zero Trust Security Model: Never trust, always verify. • Confidential Computing: Encrypting data while in use. • AI-driven Threat Detection: Detecting anomalies automatically. Example: AWS GuardDuty detects unusual login attempts. Cloud Security Trends
12. 50 TL Hediye Çeki •AI-driven cloud management. •More automation in cloud. •Expansion of cloud security. Future of Cloud Computing
13. • Cloud Developer – Building cloud-native applications. • Cloud Security Engineer – Protecting cloud infrastructure. • Cloud Solutions Architect – Designing cloud environments. • Data Engineer – Managing data in the cloud. Career Opportunities in Cloud Computing
14. Key Takeaways: • Cloud computing is shaping the future of technology. • Innovations like serverless, AI, and quantum computing are revolutionizing industries. • Cloud security is critical for data protection. • Many career opportunities are available in cloud computing.
15. Questions?