Storage Optimised Instance having three series:
I, D, H Series
- Storage optimised Instance are designed for workloads that require high sequential read and write access to very large data sets on storage.
- They are optimised to deliver tens of thousands of low latency, Random Input and Output operations per second (IOPS) to applications.
* D2 Instance:
Well suited for the following
- Massive parallel processing (MVP) data warehouse.
- Map reduce and Hadoop distributed computing.
- Log or Data processing app.
VCPU - 04 to 36
RAM - 30.5 to 244GB
Instance Storage - SSD
* H1 Instance:
- The family feature upto 16TB of HDD based local storage high risk through put balance of compute and memory.
- Well suited for app requiring sequential access large amount of data on direct attached to instance storage.
- Application that requires high through out access to large quantities of data.
VCPU - 08 to 64
RAM - 32 to 256GB
Instance Storage - SSD
* I3 and I3en Instance:
- Well suited for high frequency online transactions processing systems (OLTP).
- Relation database
- NOSQL database
- Distributed file systems
- Data warehousing applications.
VCPU - 02 to 96
RAM - 16 to 768GB
Local storage - NVME SSD
Networking performance - 25Gbps to 100Gbps
Sequential throughput read -16GB/S.
Frequently Asked Questions (FAQ) About Storage-Optimized Instances on Amazon EC2
Amazon Elastic Compute Cloud (EC2) offers a diverse range of instance types optimized for different workload requirements. Storage-optimized instances are specifically designed to provide high storage capacity and performance, making them ideal for applications that require fast and scalable storage solutions. In this FAQ, we'll address common questions about storage-optimized instances on Amazon EC2 to help users understand their features and benefits.
1. What are storage-optimized instances?
Storage-optimized instances are a type of Amazon EC2 instance designed to deliver high storage capacity and performance for storage-intensive workloads. These instances are optimized for applications that require fast and scalable storage solutions, such as data warehousing, distributed file systems, and NoSQL databases.
2. What are the key features of storage-optimized instances?
The key features of storage-optimized instances include:
- High storage capacity: Storage-optimized instances offer a large amount of local storage, ranging from terabytes to petabytes, to accommodate storage-intensive applications and datasets.
- High disk throughput: These instances are equipped with high-performance SSD (Solid State Drive) or HDD (Hard Disk Drive) storage, providing fast disk throughput and low-latency access to data.
- Customizable configuration: Amazon EC2 offers a variety of storage-optimized instance sizes, allowing users to choose the right combination of storage capacity, CPU, and memory resources based on their specific requirements.
- Scalability: Storage-optimized instances support auto-scaling, enabling users to dynamically adjust the number of instances in response to changes in storage demand, ensuring optimal performance and resource utilization.
3. What are some common use cases for storage-optimized instances?
Storage-optimized instances are suitable for a wide range of storage-intensive workloads, including:
- Big data analytics: These instances are ideal for running big data analytics and processing tasks that involve working with large datasets stored locally on the instance.
- Data warehousing: Storage-optimized instances can be used for data warehousing applications that require fast and scalable storage solutions for storing and analyzing large volumes of data.
- Distributed file systems: These instances are well-suited for distributed file systems such as Amazon EFS (Elastic File System) and GlusterFS, which require high-performance storage for storing and accessing files across multiple nodes.
- NoSQL databases: Storage-optimized instances can be used for NoSQL databases such as MongoDB, Cassandra, and Couchbase, which require high-speed storage for storing and retrieving data in real-time.
4. What are some examples of storage-optimized instance types on Amazon EC2?
Some examples of storage-optimized instance types on Amazon EC2 include:
- I3 instances: The latest generation of storage-optimized instances, featuring high storage capacity and performance for storage-intensive workloads.
- I2 instances: Previous generation storage-optimized instances offering a balance of storage capacity, CPU, and memory resources.
- D2 instances: Storage-optimized instances optimized for high disk throughput and sequential I/O performance, suitable for data-intensive workloads such as data warehousing and analytics.
5. How do I choose the right storage-optimized instance type for my workload?
When selecting a storage-optimized instance type, consider factors such as:
- Storage requirements: Determine the amount of storage needed to accommodate your application's data and workload requirements.
- Disk throughput: Assess the disk throughput and performance requirements necessary to handle your application's I/O operations effectively.
- CPU and memory requirements: Consider the CPU and memory resources required to complement the storage capacity of your application.
- Cost considerations: Evaluate the cost-effectiveness of different instance types based on your budget and performance requirements.
In conclusion, storage-optimized instances on Amazon EC2 offer high storage capacity and performance for storage-intensive workloads. By understanding the key features, use cases, and considerations of storage-optimized instances, users can select the right instance type to meet their application's storage requirements and achieve optimal performance in the cloud.