Integration with Cloud Services
When organizations use distributed systems in the cloud, they handle system failures, changing demands, and resource shortages more effectively. Some examples are:
- Cloud Storage: By means of cloud storage service providers such as Amazon S3, Google Cloud Storage, and Azure Blob Storage, which are designed for object storage of both scalable and durable data.
- Compute Services: The cloud vectors, for instance, AWS EC2, Google Compute Engine, and Azure Virtual Machines, offer dynamically scaled applications through the on-demand provision of virtualized compute resources.
- Managed Services: Using managed services like AWS Lambda, Google Cloud Functions, and Azure Functions for serverless computing, shifting away from being strictly involved in the daily operational work by delegating machine-learning development.
Components of Distributed System
Many modern computing platforms, such as Internet applications or systems, are built on distributed systems, which function as essential infrastructure.
- These systems feature good scalability, fault tolerances, and application flexibility, which enable them to be used in various areas, including cloud computing, IoT, and big data analytics.
- It is necessary to learn the components of distributed systems, as it would be part of designing, developing, and maintaining faultless or efficient systems.
Important Topics for Components of Distributed System
- Communication Infrastructure
- Distributed Data Storage
- Distributed Computing Models
- Distributed Coordination
- Fault Tolerance Mechanisms
- Scalability Techniques
- Security in Distributed Systems
- Distributed System Monitoring and Management
- Deployment and orchestration
- Integration with Cloud Services