Cloud services refer to a range of on-demand computing resources and solutions delivered over the internet allowing organizations to access and use various computing resources without the need for physical hardware infrastructure and facilitates scalability, flexibility, cost-effectiveness, reduced maintenance and the ability to access resources from anywhere with an internet connection.
Hitech Americas services involve providing expert guidance, planning and assistance in adopting, migrating to, and optimizing cloud computing solutions. Our goal is to assist organizations to make informed decisions, maximize the benefits of cloud services and overcome challenges associated with cloud adoption.
Provides virtualized computing resources such as virtual machines, storage, and networking. Users can deploy and manage their own operating systems and applications on these virtualized resources. Examples: Amazon Web Services (AWS) EC2 and Microsoft Azure Virtual Machines.
Offers a platform that includes both hardware and software components for developing, deploying, and managing applications. Users can focus on writing and running their applications without worrying about the underlying infrastructure. Examples: Google App Engine. Heroku
Delivers fully functional applications over the internet on a subscription basis. Users can access and use software applications without needing to install or manage them locally. Examples: Google Workspace, Microsoft 365 Salesforce and HubSpot
Provides scalable and flexible storage resources whereby users can store and retrieve data, files, and backups from the cloud. Examples: Amazon S3, Google Cloud Storage, Microsoft Azure Blob Storage
Handles database provisioning, maintenance, backups and scaling. Examples: Amazon RDS, Google Cloud SQL, Azure SQL Database
Provides a platform for deploying, managing, and orchestrating containerized applications using tools like Docker and Kubernetes. Examples: Google Kubernetes Engine (GKE), Amazon Elastic Kubernetes Service (EKS)
Offers cloud-based infrastructure and services for managing and analyzing data from Internet of Things (IoT) devices.
Offers networking capabilities and services over the cloud, including virtual private networks (VPNs), firewalls, load balancers and more.
Provides cloud-based artificial intelligence and machine learning services, allowing users to integrate AI capabilities into their applications without needing to build and train their own models.
Google Cloud Platform (GCP) is a suite of cloud computing services offered by Google. It provides a wide range of cloud-based infrastructure, platforms, and applications that help businesses and developers build, deploy, and manage applications and services. Our GCP consulting includes Compute Engine, Google Kubernetes Engine (GKE), Cloud SQL, Networking – Virtual Private Cloud (VPC) and Cloud CDN, Big Data and Analytics – BigQuery, Dataflow, Pub/Sub. Machine Learning and AI. Identity and Access Management (IAM), Cloud Storage, Cloud Datastore, Apigee, Serverless Computing, Internet of Things (IoT)
Microsoft Azure includes Virtual Machines (VMs), Azure Kubernetes Service (AKS), Azure App Service, Azure Blob Storage, SQL, Cosmos DB, Virtual Network (VNet), Azure Synapse Analytics, Azure Data Lake Storage, Azure HDInsight, Azure AI and Machine Learning, Azure Identity and Security, Azure Cosmos DB
Amazon Web Services (AWS) includes Compute Services – Amazon EC2, Amazon ECS, AWS Lambda. Amazon Storage – Amazon S3, EBS, Glacier. Big Data and Analytics – Amazon Redshift, EMR, Kinesis. AI and Machine Learning – Amazon SageMaker, Rekognition, Polly. Databases and Storage – Amazon RDS, DynamoDB, Aurora. erverless Computing – AWS Lambda, Amazon API Gateway. IoT (Internet of Things) – AWS IoT Core, AWS IoT Greengrass. Security and Identity – AWS Identity and Access Management (IAM), Amazon GuardDuty. Management and Monitoring – Amazon CloudWatch, AWS Config. Hybrid Solutions – AWS Outposts.
