Chapter 40: AWS Instance Stores
AWS Instance Store (also called EC2 Instance Store, ephemeral instance storage, instance store volumes)
Many people hear “instance store” and immediately think “oh, that’s just temporary storage — I should never use it”. That’s only half the truth.
Instance store is not for everything — but when used in the right places, it is dramatically faster and dramatically cheaper than regular EBS volumes for certain workloads.
Let me explain it like we’re sitting together with a whiteboard and a cup of Irani chai — slow, clear, full of real analogies, Hyderabad startup examples, 2026 reality, when to use it, when never to use it, and how it compares to EBS.
1. What Exactly is AWS Instance Store? (Simple First)
Instance store = physically attached temporary block storage that comes directly from the local disks inside the physical server (host) where your EC2 instance is running.
Key characteristics everyone must remember:
- It is ephemeral (temporary) — the data disappears when:
- You stop the instance (not just reboot)
- The instance terminates
- The underlying hardware fails
- AWS maintenance moves your instance to another host
- It is extremely high-performance — because it’s local SSD/NVMe (no network hop like EBS)
- It is included in the price of certain EC2 instance types — you don’t pay extra per GB
- It is only available on specific instance types — not all EC2 types have it
Analogy every Hyderabadi will instantly understand:
Imagine you rent a bike from Bounce or Yulu (EC2 instance):
- EBS = your personal cloud locker at the Bounce office → You can keep your helmet, bag, raincoat there forever → Even if you return the bike and rent a new one tomorrow → your things are still waiting → But access is a little slower (network trip)
- Instance Store = the small under-seat storage box on the bike itself → Very fast to reach (local) → You can put your phone, wallet, water bottle there → But when you return the bike at the end of the ride → everything in the box is gone forever → If the bike breaks down mid-ride and they give you a new one → your things are lost
So: Instance store = super-fast, free, but temporary local disk EBS = slower (network), persistent, you pay per GB
2. When Should You Use Instance Store? (Real 2026 Use Cases)
You use instance store only when:
- Performance is critical — you need the absolute lowest latency & highest IOPS/throughput
- Data is temporary / can be recreated — losing it is acceptable or you replicate it elsewhere
- You want to save money — instance store is included in the instance price (no extra GB charges)
Very common patterns in Hyderabad startups & companies in 2026:
| Workload Type | Why Instance Store Wins | Typical Instance Family (2026) | Example in Hyderabad |
|---|---|---|---|
| Caching layers (Redis, Memcached) | Extremely low latency, high IOPS | r6gd, r7gd, m6gd, c6gd | Redis cache for Zomato-like app — data rebuilt on restart |
| Temporary scratch space (ML training) | Massive throughput for shuffling datasets | p5, g6, trn2, c8g | ML model training on GPU instances — checkpoints saved to S3 |
| Temporary files during video transcoding | Very high write throughput, data recreated anyway | c8g, m8g with instance store | Short-video app transcoding pipeline |
| NoSQL databases with replication | Fast local writes, data replicated to other nodes | i4i, i3en, r6id | Cassandra / ScyllaDB cluster |
| Buffer / queue spill-over | Temporary holding area for bursty workloads | Various with instance store | Kafka / Kinesis consumer buffer |
Never use instance store for:
- Root volume of production servers
- Databases without replication (MySQL/PostgreSQL without Multi-AZ or replicas)
- Anything you cannot afford to lose on stop/terminate/hardware failure
3. Instance Store vs EBS – Head-to-Head Comparison (2026)
| Feature | Instance Store | Amazon EBS (gp3/io2) |
|---|---|---|
| Persistence | Lost on stop, terminate, host failure | Persists until you delete volume |
| Durability | Lower (tied to host) | Very high (replicated across AZ) |
| Performance | Extremely high (local NVMe/SSD) | Good–very high (network-attached) |
| Cost | Included in instance price — no extra GB charge | Pay per GB + IOPS + throughput |
| Size limit per volume | Up to ~30 TB (varies by instance type) | Up to 64 TiB per volume |
| Available on | Only specific instance types (c6gd, m6gd, r6gd, i4i, etc.) | Almost all instance types |
| Encryption | Encrypted at rest by default | Encrypted at rest (you choose KMS key) |
| Snapshots / backups | Not supported | Full snapshot support |
| Multi-attach | No | Yes (io1/io2) |
2026 pricing example (ap-south-2 Hyderabad Region):
- m8g.4xlarge (16 vCPU, 64 GB RAM) with instance store → ~₹12–15/hour → You get ~3.8 TB instance store for free as part of that price
- Same instance + 3.8 TB EBS gp3 → extra ~₹22,000–25,000/month just for storage
→ Instance store = massive savings when you need large, fast, temporary disk.
4. Real Hyderabad Example – Video Transcoding Pipeline
Your short-video app startup in Madhapur:
Problem: Users upload raw 1080p videos → need to transcode to multiple resolutions + generate thumbnails → Needs very high write throughput (hundreds of GB/hour during peak) → Data is temporary — original + intermediates can be deleted after final output is in S3
Solution using instance store:
- Launch c8g.8xlarge instances (32 vCPU, 64 GB RAM, ~3.8 TB instance store NVMe)
- Auto Scaling Group — min 2, max 20
- User upload → S3 → SQS → ECS task on Fargate pulls job → but heavy transcoding jobs routed to EC2 with instance store
- FFmpeg writes temp files to instance store (/mnt/ephemeral) → 10× faster than EBS gp3
- Final output → uploaded to S3 → temp files deleted automatically on job end
- Instance terminated or stopped → instance store wiped (no problem — data was temporary)
Result:
- Transcoding finishes 4–8× faster than EBS
- No extra storage bill for scratch space
- Cost during IPL rush: ~₹8,000–15,000 extra (only for the hours the instances run)
5. Quick Hands-On – See Instance Store in Action
- EC2 console → Launch instance
- Choose type with instance store: e.g., m6gd.large, c8g.2xlarge, r7gd.xlarge
- Look at storage section → you will see “1 x 118 GB NVMe SSD Instance Store” (or larger)
- Launch → SSH in → run lsblk or df -h → see /dev/nvme1n1 mounted (usually /mnt or /data)
- Write files there → stop instance → start again → files gone
Summary Table – Instance Store Cheat Sheet (2026)
| Question | Answer (Beginner-Friendly) |
|---|---|
| What is instance store? | Temporary, high-speed local disk attached to the physical host |
| Is data persistent? | No — lost on stop, terminate, host failure |
| Why use it? | Extreme performance + no extra cost for large scratch space |
| When never to use it? | For root volume, databases without replication, critical data |
| Which instance families have it? | m6gd/m7gd/m8gd, c6gd/c7gd/c8g, r6gd/r7gd, i4i/i3en, etc. |
| Cost? | Included in instance price — no separate GB charge |
| First safe experiment? | Temporary cache (Redis), video transcoding scratch, ML temp files |
Teacher’s final note: Instance store is not “dangerous storage you should avoid” — it is “specialized, high-performance, free scratch space you should use whenever the data is temporary or replicated”. In 2026, smart Hyderabad startups and mid-size companies use instance store heavily for caching, transcoding, ML training temp files, and buffer zones — saving 30–70% on storage bills compared to using EBS for everything.
Got it? This is the “use the right disk for the job” lesson.
Next?
- Deep dive: Which instance types have the biggest/fastest instance store in 2026?
- How to safely use instance store with replication (e.g., Redis cluster)?
- Or instance store vs EBS gp3 vs io2 performance numbers?
Tell me — next whiteboard ready! 🚀💾
