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Amazon EC2
Provides resizable virtual compute instances across instance families and purchase models
Why learn Amazon EC2?
Teams use Amazon EC2 to adopt virtual machine compute without building the complete underlying platform themselves.
The problem it solves
Runs configurable operating-system virtual machines
Where it came from
Amazon EC2 is Amazon Web Services's offering for virtual machine compute. Its closest catalog counterparts are Azure Virtual Machines and Google Compute Engine; they address the same broad need but are not feature-for-feature identical.
Build your understanding
Work through these exercises in order. Try the task before opening a reference.
- Explain the main responsibility of Amazon EC2.
- Choose a workload that fits Amazon EC2.
- Identify one operational tradeoff of Amazon EC2.
- Compare Amazon EC2 with Azure Virtual Machines.
- Compare Amazon EC2 with Google Compute Engine.
Documentation and sources
- AWS cloud services catalog (aws.amazon.com)
Connect the ideas
Alternatives
Real World Example
Dynamic Compute Scaling for Seasonal Analytics
A regional meteorological research firm performing high-frequency weather data processing.
The business problem
The firm faces extreme compute demand spikes during storm seasons, leading to hardware resource exhaustion on static local servers and delayed data processing.
How this topic solves it
Amazon EC2 provides resizable virtual compute instances that allow the firm to provision capacity on-demand, matching compute power to the volume of incoming meteorological data streams.
- Select an appropriate Amazon Machine Image (AMI) containing the required data processing libraries.
- Choose an instance family optimized for compute-intensive workloads to handle complex weather modeling.
- Configure Security Groups to restrict inbound traffic to specific data ingestion ports.
- Launch the instances within a Virtual Private Cloud to ensure network isolation.
- Monitor instance health and resource utilization to trigger manual or automated scaling actions.
This diagram illustrates the lifecycle of an EC2 instance within the research firm's architecture.
Compute-optimized virtual machine
Persistent data volume
System maintenance and patching
- Data Source → Ingests data → EC2 Instance
- EC2 Instance → Writes results → Storage
- Admin → Performs OS updates → EC2 Instance
Expected business outcome
The firm achieves consistent processing throughput during peak events without maintaining idle hardware during off-peak periods.
Limitations and checks
A primary limitation is the management overhead of virtual machine maintenance, such as OS patching and software updates, which must be verified by checking the instance status and system logs.