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On the fifty sixth day, I learned the following things about Cloud Computing.

3. Memory Optimized Instance

  • Memory optimized instances are designed to deliver fast performance for workloads that process large data sets in memory.

  • There are three types of series in it and each of them have subtypes also.

    • R series

      • R4
      • R5
      • R5a
      • R5ad
      • R5d

    • X series

      • X1
      • X1e

    • Z series

      • Z1d

  • R series: It is used for high performance, ralational(MySQL) and NoSQL(MongoDB, Cassandra) databases.

  • Distributed web scale cache stores that provide in-memory caching of key value type data. To process more data in the run time, R series will be used.

  • It is used in financial services like Hadoop.

    • vCPU -> 2 to 96
    • RAM -> 16 to 768 GB
    • Instance Storage -> EBS and NVMe SSD

  • X series: It is well suited for high performance database, memory intensive enterprise applications, relational database workload, and SAP HANA applications.

  • It is used in electronic design automation.

    • vCPU -> 4 to 128
    • RAM -> 122 to 3904 GB
    • Instance Storage -> SSD

  • Z series: Z series delivers a sustained all core frequency upto 4.0 GHz, the fastest of any cloud instances.

  • It uses AWS Nitro system, XEON processor and upto 1.8 TB of instances storage.

    • vCPU -> 2 to 48
    • RAM -> 16 to 384 GB
    • Instance Storage -> NVM SSD

  • It is used in electronic design, automation and certain databases workloads with high per-core licensing cost.

4. Storage optimized instance

  • Storage optimized instances are designed for workloads that require high, sequential read and write access to very large data.

  • They are optimized to deliver tens of thousands of low latency, random I/O operations per second(IOPS) to application.

  • There are three types of series in it.

    • D series
      • D2
    • H series
      • H1
    • I series
      • I3
      • I3en

  • D series: It is well suited for massive parallel processing (MPP) in data warehouse, map reduce, hadoop distributed computing, and log or data processing app.

    • vCPU -> 4 to 36
    • RAM -> 30.5 to 244 GB
    • Instance Storage -> SSD

  • H series: This series will provide you upto 16TB of HDD based local storage, high disk throughput(result) and balance of compute and memory of storage.

  • Well suited for app requiring sequential access to large amounts of data on direct-attached instance storage.

  • There is another storage that is network-attached storage that will be accessible through a network, not directly accessible. EBS is the network-attached storage.

  • Application that requires high throughput access to large quantities of data.

    • vCPU -> 8 to 64
    • RAM -> 32 to 256 GB
    • Instance Storage -> HDD

  • I series: It is well suited for High frequency online transaction processing system(OTPS).

  • It is used in relational databases.

    • NoSQL databases
    • Distributed file system
    • Data warehousing application

  • Spaces used in

    • vCPU -> 2 to 96
    • RAM -> 16 to 768 GB
    • Instance Storage -> NVMe SSD
    • Network Performance -> 25 Gbps to 100 Gbps

  • Sequential throughput

    • Read -> 16 GB/s
    • Write -> 64 GB/s (I3) 8 GB/s (I3en)

Explaining it in a video

Here you can get an explanation in a video. 56/60 Day of DevOps Challenge