How to Get Started with Amazon EC2
Introduction to EC2
What is EC2, and why is it important?
Amazon Elastic Compute Cloud (Amazon EC2): A web service offering secure, resizable compute capacity in the cloud.
Benefits:
Scalable Infrastructure: Access reliable and scalable infrastructure on demand. Scale capacity within minutes with a 99.99% availability SLA.
Security: Built-in security for your applications with the AWS Nitro System.
Performance and Cost Optimization: Flexible options like AWS Graviton-based instances, Amazon EC2 Spot instances, and AWS Savings Plans to optimize performance and cost.
EC2 Use Cases
Compute Infrastructure: Deliver secure, reliable, high-performance, and cost-effective compute infrastructure to meet demanding business needs.
HPC Applications: Access the on-demand infrastructure and capacity needed to run high-performance computing (HPC) applications faster and more cost-effectively.
Scalability: Access environments in minutes, dynamically scale capacity as needed, and benefit from AWS’s pay-as-you-go pricing.
Machine Learning Projects: Deliver the broadest choice of compute, networking (up to 400 Gbps), and storage services purpose-built to optimize price performance for machine learning projects.
EC2 Instance Types
General Purpose Instances
Description: Designed to deliver a balance of compute, memory, and network resources.
Use Cases: Suitable for a wide range of applications including web servers, small databases, development and test environments, and more.
Compute Optimized Instances
Description: Provide a higher ratio of compute power to memory.
Use Cases: Excel in workloads that require high-performance processing such as batch processing, scientific modeling, gaming servers, and high-performance web servers.
Memory Optimized Instances
Description: Designed to handle memory-intensive workloads.
Use Cases: Suitable for applications that require large amounts of memory, such as in-memory databases, real-time big data analytics, and high-performance computing.
Storage Optimized Instances
Description: Optimized for applications that require high, sequential read and write access to large datasets.
Use Cases: Ideal for tasks like data warehousing, log processing, and distributed file systems.
Accelerated Computing Instances
Description: Typically come with one or more types of accelerators, such as Graphics Processing Units (GPUs), Field Programmable Gate Arrays (FPGAs), or custom Application Specific Integrated Circuits (ASICs).
Use Cases: These accelerators offload computationally intensive tasks from the main CPU, enabling faster and more efficient processing for specific workloads.
Instance Families
C – Compute: Optimized for compute-intensive applications.
D – Dense storage: Ideal for workloads that require high sequential read and write access to large data sets.
F – FPGA: Designed for use cases that benefit from customizable hardware acceleration.
G – GPU: Suitable for graphics-intensive applications.
Hpc – High performance computing: For applications that require high-performance computing resources.
I – I/O: Optimized for high, random I/O performance.
Inf – AWS Inferentia: Designed for machine learning inference.
M – Most scenarios: General-purpose instances for a broad range of applications.
P – GPU: For general-purpose GPU applications.
R – Random access memory: Optimized for memory-intensive applications.
T – Turbo: Designed for burstable performance instances.
Trn – AWS Tranium: Optimized for training deep learning models.
U – Ultra-high memory: For extremely memory-intensive applications.
VT – Video transcoding: Suitable for video processing and transcoding.
X – Extra-large memory: For applications that require large amounts of memory.
Additional Capabilities
a – AMD processors: Use AMD processors.
g – AWS Graviton processors: Use AWS Graviton processors.
i – Intel processors: Use Intel processors.
d – Instance store volumes: Include instance store volumes.
n – Network and EBS optimized: Optimized for enhanced networking and Amazon EBS performance.
e – Extra storage or memory: Include additional storage or memory.
z – High performance: Provide high performance.
EC2 Instance Basics
Virtual Servers: Understanding the concept of virtual servers and instances.
Key Components: Learn about the key components of an EC2 instance such as AMI (Amazon Machine Image), instance types, and instance states.
Instance Types: Differentiate between On-Demand, Reserved, and Spot instances.
Managing EC2 Instances
Operations: Learn how to start, stop, and terminate instances.
Monitoring: Monitor instance performance and utilization.
Access: Basic troubleshooting and accessing instances using SSH (Secure Shell)
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Written by
Shashank Vimal
Shashank Vimal
An individual who uses AI prompts, stack overflow threads and coffee to assemble software that occasionally works as expected...