Cloud Migration Services

Cloud automation basically is a process of automating few tasks that are repetitive. The main idea is to reduce physical work to manage workflows in order to save time and resources. This is an effective way to achieve operational improvements, speed up application deployment and minimize human errors.

AnsThe process of allocating the cloud provider’s resources and services to a customer is called cloud provisioning. The tools used in cloud provisioning are automation, orchestration, and provisioning software.

Cloud provisioning is one of the significant components of the cloud computing model. This is the phase where it is decided how a customer can procure cloud managed services and resources from a cloud service provider.

Ans. Cloud provisioning can be classified into three types:

• Dynamic Provisioning – Cloud resources are installed as per customer’s requirements. Scaling up and down happens as per the customer demands. The customers pay only for what they have used.
• Advanced Provisioning – The resource allocation is based on the agreed-upon contract between the customers and cloud provider. The customer will be paying a fixed fee or on monthly basis.
• Self-service Provisioning – The resources are bought via a web interface or cloud brokerage portal. Resources are available for immediate use. IT Ops teams will still have to manage the portal in this method.

Ans..In cloud monitoring, you assess the workload conditions and other quantitative parameters that determine the overall cloud functioning. Results are specific and not detailed.

In cloud observability, similar to cloud monitoring, you evaluate cloud’s robustness. However, it focuses on methodology based monitoring and operating state monitoring.

Methodology emphasizes on metrics such as tracing and log analytics. Operating state concentrates on tracking, state identification and event relationships.

Ans. Every customer seeks maximum application performance. None of the frameworks can pledge maximum performance for every application every time. Nonetheless, there are a few key steps which aid to improve cloud performance throughout.

• Microservices – This is a tried and tested method which never lets you down. The Microservices architecture comes with built-in modular services for all major features and functionalities. Since the application is broken into a series of workflows and deployed and operated individually, there is more scalability.
• Auto-scaling – The application should be able to scale up on demand and recede when there is no requirement. This is a cost, time and resource saving method.
• Caching – Regular caching helps applications to perform and execute faster than accessing the storage.
• Serverless computing/ Event-driven architecture – Codes are placed based on certain software functions and practices into the cloud platform. After being triggered by an actual event, the operation happens. Once the function is complete, cloud resources are untouched.
• Right-sizing instances – Choose the apt resources to run the workflows.
• Load balancing – The network traffic here is distributed in the workflow so that each instance delivers to the maximum efficiency.

To make the optimum utilization of resources, monitoring key attributes of local and cloud-based services, data protection, and disaster recovery, we need infrastructure management process. It is an extensive and crucial process in the entire product/service lifecycle.