1. Elasticity:
Elasticity ensures resources are dynamically adjusted to meet workload demands.
Benefits:
- Optimal Cost Management: Resources are allocated when needed and deallocated when idle, thus avoiding unnecessary expenses.
- Real-Time Responsiveness: Businesses achieve high performance during traffic spikes like product launches without manual intervention.
Use: A video streaming service scaling up its resources during peak viewing hours and scaling down at night.
2. Horizontal Scaling:
Addition of extra service or application instances to carry extra load.
Benefits:
- Better Redundancy: Multiple nodes will improve fault tolerance for the workloads.
- Better Performance: Better loads distribution between different processing nodes results in response time.
Use: Addition of server instances by a retail website when having flash sales.
3. Auto Scaling:
Adjustment of computing resources based on some defined thresholds or metrics like CPU usage or traffic volume on an automated basis.
Benefits:
- Reduced Human Effort: The tasks of monitoring and resetting the resources by IT teams is eliminated.
- Consistency: Resources are always aligned with the workload.
Use: Automatic scaling of a database capacity of an application during data-intensive operations.
4. Load Balancing:
Dividing incoming traffic across multiple web servers to avoid overloading.
Advantages:
- Reliability: When one server fails the traffic can be redistributed to ensure minimum downtime.
- Better User Experience: Guaranteed consistent performance for users.
Use: A cloud-hosted game server that balances player connections by region.
5. Virtualization:
Creates virtual instances of servers, storage, and networks abstracted from physical hardware.
Benefits:
- Better Resource Use: Makes the maximum use of physical resources.
- Maintenance is made easy: Virtual machines can be easily duplicated or migrated.
Use: An organization using virtual machines for running multiple isolated environments for testing.
6. Containerization:
It encases applications with their dependencies into lightweight and portable containers.
Benefits:
- Portability: Containers can run consistently across different environments.
- Easy Scaling: Container orchestration tools such as Kubernetes make scaling and managing applications with containers easy.
Use: A microservices-based application scaling different services individually.
7. Serverless Computing:
Code is executed without provisioning or managing servers; the cloud provider manages infrastructure.
Benefits:
- Dev Productivity: Developers are freed from worrying about infrastructure.
- Cost Effectiveness: Charges based only on time taken to execute and the resources used.
Use: A company would be applying serverless functions for real-time processing from IoT devices.
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