---
title: "Public Cloud Learning Sessions- Best practices for EC2 cost optimization in AWS - 20240529 160242-Meeting Recording"
type: cloud-learning
source-type: video
category: "DevOps & SRE/05_FinOps"
tags:
  - AWS
  - EC2
  - Cost-Optimization
date-added: 2026-04-14
video-source: "nas:///volume2/work/Public Cloud Learning Sessions/Public Cloud Learning Sessions- Best practices for EC2 cost optimization in AWS - 20240529_160242-Meeting Recording.mp4"
audio-source: ""
status: summarized (Gemini 摘要)
---

# Public Cloud Learning Sessions- Best practices for EC2 cost optimization in AWS - 20240529 160242-Meeting Recording

**Source:** NAS `/volume2/work/Public Cloud Learning Sessions/Public Cloud Learning Sessions- Best practices for EC2 cost optimization in AWS - 20240529_160242-Meeting Recording.mp4`

**Type:** VIDEO | **Category:** 05_FinOps

**Status:** 🟡 Awaiting Whisper transcription → Summary

---

## EC2 Cost Optimization in AWS: Best Practices

Mike Dukes and Steele Taylor, AWS experts, presented a learning session on EC2 cost optimization, covering compute efficiency, Graviton usage, EC2 spot leveraging, and cost-effective container deployments. The session emphasized interactive participation and welcomed questions.

Efficiency in the cloud involves architectural best practices and leveraging AWS services and instance types for optimal workload performance. Technical advantages include high availability, elastic usage, and innovation adoption. Benefits include cost efficiency, leveraging purchase options, and reducing carbon footprint. *When we start talking about architecting and using best practice efficiency in the cloud, you effectively only pay for what you use when you use AWS.*

EC2 offers over 750 instance types tailored for various workloads. AWS's Nitro system enhances efficiency by externalizing network, storage, and security components. AWS Graviton processors provide price performance benefits. Purchase options include on-demand, savings plans, and spot instances, each suited for different workload types.

Graviton instances offer up to 40% better price performance than comparable x86 instances. Graviton is based on ARM64 and has extensive software support across Linux OS, ISVs, and open-source software, with sustainability benefits through reduced power consumption. AWS now offers the fourth version of Graviton. Graviton supports various instance types, including compute-optimized, memory-optimized, and general-purpose. AWS services like RDS, Aurora, and Lambda also support Graviton. Migrating to Graviton for services like RDS Aurora is relatively straightforward. *Graviton Free actually uses up to 60% less power consumption than comparable X86-based instances.*

EC2 Spot instances offer up to 90% discounts compared to on-demand pricing, leveraging spare capacity. Key considerations for Spot instances include fault tolerance, flexibility, and statelessness. Diversification across instance types and availability zones is crucial for Spot usage. Spot instances can be interrupted when capacity is needed for on-demand instances, with notifications provided before termination. Integrations with AWS services like autoscaling, EKS, and ECS support automated responses to interruptions.

Spot instances are suitable for web services, containers, HPC batch processing, big data, and CI/CD, while Graviton is beneficial for most of these except stateful services like databases. Spot and Graviton can be used together with containers, provided instance pools are not overly restricted.

Spot Invaders, a fault-tolerant chaos engineering game powered by EKS and EC2 Spot, demonstrates best practices for running resilient applications on EKS while optimizing costs. The game involves shooting aliens to simulate pod failures and whales to trigger spot interruptions, showcasing the ability to maintain service availability despite disruptions.
