Amazon Web Services (AWS) for Easily Built Complex Cloud Environments

Amazon Web Services (AWS) holds the Gartner’s Cloud Leader title for ten consecutive years on. The AWS cloud features wide IaaS, PaaS and SaaS functionality and rich capabilities for hybrid IT infrastructures. AWS offering is beneficial for:

Large businesses

Requiring geographically distributed hyperscale enterprise IT infrastructures.

Medium-sized businesses

Keen on the range of specialized cloud services.

SaaS providers

Focused on the development of scalable and highly available SaaS.

Featured Amazon Web Services

Cloud computing
Amazon EC2

Customizable virtual computing instances scaled on demand.

Amazon EC2 Auto Scaling

Reactive and predictive scaling of instances.

AWS Lambda

Running code in the pay-as-you-go serverless environment.

AWS Elastic Beanstalk

Automated deployment of web apps in autoscaled and load-balanced instances.

Amazon Lightsail

AWS-managed virtual environment for the quick deployment of lightweight web apps, websites and databases.

AWS Outposts

Fully managed and dynamically scaled cloud computing of batch loads in the cloud.

AWS Snow Family

Hardware devices for offline edge computing and data storage.


Amazon Simple Storage Service (S3)

Hyperscale storage and management of data objects in a fully managed virtual environment.

Amazon S3 Glacier

Long-term archiving and backup replication of sensitive data with advanced security features.

Amazon Elastic Block Store (EBS)

Block storage with replication of data across availability zones to ensure their fast retrieval.

Amazon Elastic File System (EFS)

Managed network file system for EC2 workloads with advanced security features.

AWS Storage Gateway

Hybrid data storage ensuring cloud scalability and on-premises low latencies for various use cases.

Amazon FSx

Fully managed file storage compatible with Windows and Lustre file systems.

AWS Backup

Single-point backup management across AWS workloads.


Amazon RDS

Setting up, operation and scaling of relational databases: Aurora, MySQL, PostgreSQL, Oracle, SQL Server and MariaDB.

Amazon Aurora

Highly available, secure and reliable relational database compatible with PostgreSQL and MySQL.

Amazon DynamoDB

Managing non-relational databases with autoscaling, encryption at rest and snapshot backups and archiving.

Amazon ElastiCache

Setup and management of in-memory data stores and distributed caching for the most demanding workloads.

Amazon DocumentDB

Non-relational document database service for storing, indexing and querying JSON data.

Amazon Neptune

Low-latency graph database engine optimized for high-scaled and interrelated datasets.

Amazon Keyspaces (for Apache Cassandra)

Running Apache Cassandra databases on AWS.

Common Use Cases for Amazon Web Services

Enterprise cloud
  • Containerization of legacy apps in EC2.
  • Development of cloud apps and implementation of cloud-native IT infrastructures.
  • App integrations via AWS messaging, gateway and queueing services.
  • Cloud app development with advanced AWS components: AI, big data, IoT, computer vision, etc.
  • Virtual private cloud (AWS VPC).
  • Edge caching and global content delivery with Amazon CloudFront.
Hybrid enterprise cloud
  • Single-spot management of hybrid IT infrastructures with AWS Systems Manager.
  • Running AWS services and tools on-premises with AWS Outposts.
  • Unified security management for cloud and on-premises IT components in AWS Security Hub.
SaaS, XaaS applications
  • Serverless microservices containerization (Amazon ECS, Amazon Elastic Kubernetes Service).
  • Ready-made specialized services: AI, ML, blockchain, media broadcasting, etc.
  • Development and CI/CD automation tools: AWS CodeStar, AWS CodePipeline.
  • Messaging services and queue brokers (Amazon SQS, Amazon MQ) for guaranteed data communication between apps and microservices.
DWH and data analytics
  • Hyperscale data warehouses and analytics (Amazon RedShift).
  • Big data analytics with native and third-party solutions (Amazon ElasticSearch, Amazon EMR).
  • Predictive analytics with Amazon Forecast.
  • Building, training and deployment of machine learning models.
  • Automated database migration with AWS Database Migration Service.
DWH and data analytics
  • DWH and analytics management in a single point – Azure Synapse Analytics.
  • Implementation of serverless and virtualized DBs.
  • Big data.
  • Building ML models with no technical expertise required.
  • Automated database migration.
Big data
  • Aggregation and storage of unstructured and structured data in Azure Synapse Analytics.
  • Azure Data Lake Storage
  • Cosmos DB – scalable and globally available DB structures.
  • Real-time big data processing with Azure Stream Analytics and Spark-driven Azure Databricks.
  • Open-source data analytics engines plugged via HDInsight: (Apache Hadoop, Spark, and Kafka).
Computer vision and mixed reality
  • Object recognition and data extraction services.
  • Gear-driven SDKs for spatial computing.
  • APIs for computer vision with a rich portfolio of use scenarios.
  • IoT devices controlled and connected to Azure services through Azure IoT Hub.
  • Intelligent analytics for live and logged IoT data in Azure Time Series Insights.
  • Hardware and software IoT security.
HIPAA-compliant cloud
  • Encryption of data in transit and at rest.
  • Native SIEM, perimeter and component-level security and access management services.
  • FHIR-compliant APIs for secure data exchange