Cloud Cost Optimization
ISmile provides methods that is used for reducing the cost of the cloud services, that can compare the resources with other multi cloud platform, and create an architecture depending upon the use cases. ISmile uses multi-cloud architecture for client use cases and reducing the cost.
Flexibility and Scalability
ISmile can create software more rapidly & respond swiftly to shifting demand. You only pay for what you use with a flexible modular infrastructure. Additionally, it enables businesses to benefit from quick technological advancements, mix services from a variety of providers, and develop more specialized applications that give them a competitive edge. Utilizing numerous clouds helps businesses decrease their dependence on a single source, lowering their risk of outages and security flaws. When one cloud fails, other providers’ services might still be used to keep your business running. Client have an always-on, highly scalable backup for their data, workflows, and systems due to high redundancy.
Low Latency
ISmile minimizes the user latency. Webservices are frequently set up over several geographically dispersed data centers in order to reduce user-perceived latencies. To serve users from more data centers than is feasible when utilizing a single cloud service, webservices distributed across various cloud infrastructure services are the foundation of research. The customers benefit from decreased latencies. We run webservices across three well-known cloud infrastructure services: Amazon EC2, Google Compute Engine (GCE), and Microsoft Azure to explore the possible latency.
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Data Security
Utilizing more cloud services always results in using more buttons, levers, and dashboards. Additionally, there are more integrated security and management technologies to learn. Like any other cybersecurity issue, the issues are closely related to IT operational competence. Attackers will be able to take advantage of blind spots and leaks in organizations that can’t control their inventory. However, a patchwork of multi-cloud technology makes operational management challenging.
Disaster Recovery
Multi-cloud disaster recovery, in its most basic form, refers to making sure that your data is kept with more than one cloud provider. Sending data to several service providers, such as Google Cloud Platform or Amazon AWS, may be as simple as multi-cloud backups for many enterprises. For platforms like Amazon S3, large public cloud suppliers like Google even provide an automatic backup solution to make sure that crucial web apps and data are kept on two different servers.
Cloud Engineer
Gabriel Chutuape
A technology enthusiast passionate about automation, Gabriel Chutuape is a Cloud Engineer at ISmile Technologies. He’s part of the ISmile Technologies Cloud enablement team that help customers to design/solution/project engineering, integrating and implementing infrastructure technologies & services.
CLOUD ENGINEER
Vignesh R
Vignesh is a cloud engineer with a demonstrated history of working in multiple cloud platforms like AWS, Azure, and GCP. His expertise proves in providing and implementing solutions for the organization.