In the early 2000s, Amazon was simply an eCommerce brand with a significant scaling problem. Those problems would eventually lead to a multibillion-dollar business as a cloud provider. AWS cloud services is a market leader and offers access to over 200 different products and servers. Here’s what you need to know about this cloud service provider.
AWS History: Building from experience
It’s hard to remember a time when Amazon wasn’t everywhere. However, in the early part of the century, the company existed solely in eCommerce. Amazon was frustrated with its own cumbersome engineering problems and its inability to scale to the level of service that company leaders envisioned.
It wanted to elevate customer-oriented development. At the time, engineering teams were swamped with undifferentiated infrastructure problems. Unfortunately, troubleshooting was getting in the way of development, so Amazon changed the game.
The service focused on opening development—essentially democratizing it so that companies could build on top of Amazon’s infrastructure and focus more on their own innovation. What started as a side business is now one of the largest cloud services providers in the world. At this time, AWS is one of three major cloud service providers offering services and guidance to a global cohort of companies.
AWS platform: A quick look at tools and services
Here is a sampling of what clients can expect when utilizing AWS.
AWS offers a variety of compute-related choices from both its own solutions and those of its partners.
- AWS Blueprints: Guidance for tested and validated AWS and third-party solutions
- Amazon EKS Architecture: Deploy a Kubernetes cluster for containerized applications on AWS
- CloudBees: Continuous integration solution based on Jenkins
- NVIDIA Clara Train SDK: Domain-optimized application-development framework for medical-imaging researchers
- Prometheus: Open-source monitoring system and time-series database
AWS provides multiple analytics solutions from itself and its partners, including guidance modules.
- SageMaker Autopilot: Connects Snowflake with SageMaker Autopilot ML models
- Deploys DataRobot AutoML 7.1: Real-time or batch-loaded prediction models
- DataBricks for AWS: Collaborative workspace for data science, AI/ML, and analytics
- Hybrid Data Lake: Hybrid cloud environment that integrates on-premises Hadoop clusters with a data lake on AWS
- AI-powered speech analytics: AI services to transcribe, translate, and analyze customer interactions
AI and machine learning
In addition to AI/ML-powered services above, clients can also look forward to the following services.
- Deloitte TrueVoice: Deploys the TrueVoice PoV registration artifacts on the AWS Cloud
- MLOps Workload Orchestrator: Extendable framework with a standard interface for managing ML pipelines for AWS ML services and third-party services.
- Darktrace vSensor: Deploys Darktrace vSensor to identify threats in VPC traffic using self-learning AI.
- Sagemaker with Guardrails: Building, training, and deploying machine learning modules in a secure environment.
- Amazon Lex Chatbot with Kendra: Enhanced search and fulfillment capabilities
AWS clients have many choices for database deployment, security management, and migration.
- Aerospike Database (Enterprise edition): Real-time NoSQL data-storage environment for predictable performance at petabyte scale.
- Database migration service automation: Automated framework for migrating relational databases.
- Apache Superset: Open-source software for data exploration and visualization
- MongoDB: Fully managed global cloud document database
- SAP Hana: Sets up an SAP-certified cloud infrastructure
AWS supports developers with automation, security features, and cost optimization.
- Document Understanding: Web application that ingests and analyzes files, extracts text from documents, identifies structural data, extracts critical information, and creates smart search indexes from the data.
- Centralized logging: collecting, analyzing, and displaying logs on AWS across multiple accounts and AWS Regions
- Cost optimizer: Automatically converts Amazon WorkSpaces to the most cost-effective billing model based on a user’s individual usage
- Atlassian Crowd: Deploys Crowd into a new or existing Atlassian Standard Infrastructure
- Cloud Migration Factory: Coordinates and automates many of the manual migration processes
AWS facilitates automation, allowing developers to deploy solutions that reduce the manual tasks associated with managing multiple cloud applications.
- AWS GovCloud: Deploys an architecture baseline that accommodates U.S. federal and DoD requirements to rapidly achieve Authority to Operate (ATO).
- Customization for AWS Control Tower: Customize the control tower to ensure optimized operations.
- Operations conductor: Create manual, event-based, or time-based triggers for managing resources
- Serverless transit network orchestrator: Automate the process of setting up and managing transit networks in distributed AWS environments
- Hybrid data lake: Builds a hybrid cloud environment that integrates on-premises Hadoop clusters with a data lake on AWS
Navigating the AWS Marketplace
AWS offers many different market solutions through partners such as:
- Data Robot
- And many others
In addition, companies can take advantage of partner-managed services for everything from data migration to cyber security to full digital transformation. Partners are located all around the world, giving clients options for where they do business.
Leveraging AWS as your cloud solution provider
AWS no longer has the lion’s share of the market. However, it does offer decades of experience building and managing infrastructure for companies in the cloud. It ensures that companies of all sizes can deploy mission-critical operations within the cloud—hybrid and multi-cloud included. It can address cutting-edge solutions like IoT and AI, handle changing security best practices, and ensure full compliance. As a result, it’s a top solution.