
š Day 4 of my 90-day AWS learning journey: Understanding EC2 Instance Types
EC2 Instance Types || Workloads and Requirement Engineering of Infrastructure || Right-Sizing
š Day 4 of my 90-day AWS learning journey: Understanding EC2 Instance Types
Yesterday, I learned what Amazon EC2 is and how it allows us to run virtual servers in the AWS Cloud.
Today, I explored another important concept: EC2 instance types.
I learned that not every application needs the same amount of computing power, memory, or storage performance. AWS offers different instance families to support different workloads.
Here are five important categories I learned about:
š¹ General purpose: Provides a balance of computing, memory, and networking resources.
š¹ Compute optimized: Suitable for applications that need strong CPU performance.
š¹ Memory optimized: Designed for workloads that require large amounts of memory.
š¹ Storage optimized: Built for workloads that benefit from high storage performance.
š¹ Accelerated computing: Uses specialized hardware, such as GPUs, for suitable workloads.
š” My biggest takeaway: Choosing an EC2 instance isn't just about selecting a server. It's about understanding the workload and finding the right balance between performance and cost.
I also learned about right-sizing ā selecting resources based on actual requirements instead of automatically choosing the biggest or cheapest option.
I'm continuing to build my AWS fundamentals one concept at a time.
Question for the AWS community š
When selecting an EC2 instance, which factor do you evaluate first: CPU, memory, storage, workload requirements, or cost?
I'd love to learn from your experience!
#AWS #AmazonEC2 #CloudComputing #AWSLearning #LearningInPublic
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