Organizations should refer to the documentation and resources provided by the specific cloud service provider, such as "Imperial Cloud Services," for accurate and up-to-date information about their proprietary techniques and technologies.
Virtualization is a technique that allows for creation of virtual resources, such as virtual machines (VMs), virtual networks, and virtual storage, from physical hardware. Virtualization enables:
Scalability and elasticity are techniques that enable cloud services to adjust resources dynamically based on demand. It helps to:
Automation allows for consistent and repeatable deployments, reduces manual errors, and improves operational efficiency in managing cloud resources. It is software used with cloud resources to automate the following:
Load balancing is a technique that distributes incoming network traffic across multiple resources. It ensures the following:
Organizations should have a strategy to acquire, develop, and retain talent with cloud skills through training, certification programs, and talent retention initiatives.
Adopting a cloud-first strategy involves prioritizing cloud services for new applications and workloads
A hybrid cloud strategy involves leveraging public and private cloud resources to meet different business requirements.
A multi-cloud strategy involves using multiple cloud service providers to avoid vendor lock-in and optimize for specific cloud capabilities.
Our cloud-native engineers leverage service strategies with a standard platform to deploy, test, integrate and produce customized solutions to help your team grow as per their changing software development needs.
Among Amazon Aurora's features is built-in security, continuous backups, serverless computing, up to 15 read replicas, automated multi-Region replication, and integrations with other AWS services.
The Amazon DynamoDB service runs high-performance applications at any scale using a serverless key-value NoSQL database.
An enterprise data warehouse(EDW) is a database or collection of databases, that centralizes a firm’s information from multiple sources and applications, and makes it available for analytics and use across the organization.
Amazon Redshift attempts to load data in parallel into each compute node to maximize the rate at which you can ingest data into your warehouse cluster.
With Amazon EMR, developers can process and analyze large amounts of data on AWS using big data frameworks like Apache Hadoop and Apache Spark.
Operational analytics is a solution that gives you a view of the health of your system using various disparate data logs.
With AWS, you can build and run Windows applications, including Active Directory, Microsoft SQL Server, Windows desktop-as-a-service, and all supported Windows versions.
Using Amazon Kinesis, you can stream video to AWS from cameras in offices, factories, and public areas.