Memory Optimized

Hrishikesh Deshmukh
1 min readJun 2, 2022

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Memory optimization is a range of techniques related to improving computer memory, such as identifying memory leaks and corruption, to optimize memory usage and increase performance and application usability.

There are 3 types of series:-

  1. R Series
  2. X Series
  3. Z Series

R Series:-

R4 ,R5, R5a, R5ad and R5d:-

  1. High performance relational (MySql) and No SQL (Mongo DB)
  2. Distributed web scale cache stores that provide in memory coaching of key value type data.

Used in Financial Services

VCPU:- 2 to 96 GB

Ram:- 16 to 768 GB

Instance Storage:- EBS Only and NVMe SSD

X Series:-

X1 and X1e Instance:-

  1. Well suited for high performance database, memory intensive enterprise application, Relational Data Base, Workload, SAP HANA

Use:- Electronic Design Automation

VCPU:- 4 to 128 GB

RAM:- 122 to 3904 GB

Instance Storage:- SSD

Z Series:-

High Frequency Z1d delivers a sustained all core frequency of upto 4.0 ghz the fastest of any cloud instance.

AWS Nitro system Xeon processor upto 1.8Tb of instance Storage.

VCPU:- 2 to 48 GB

Ram:- 16 to 384 GB

Storage:- NVM SSD

Use Case:- Electronic Design Automation and Certain Databases work loads with high per licensing cost.

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Hrishikesh Deshmukh
Hrishikesh Deshmukh

Written by Hrishikesh Deshmukh

I am a Data analyst with hobby of writing blogs

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