Hey there! I'm Imran, I am working with DevOps tools and technologies and learning them also. I believe in learning in public, sharing my learnings and knowledge with everyone in the community and learn from everyone in the community. And I am writing this blog about a topic in Cloud Computing.
Amazon EC2 Instance
An Instance is a virtual server for running applications on Amazon's EC2. Set of tiny computers on a single machine with separate hardware and networking, all existing virtually.
Types of EC2 Instances
1. General-Purpose Instances
- The computation, memory, and networking in General-Purpose Instances are balanced.
- Scenarios, where you can use General Purpose Instances are gaming servers, small databases, personal projects, etc.
- If high performance CPUs are not required for your applications, you can go got General Purpose Instance.
2. Compute Optimized Instances
- The Compute Optimized Instances are best when there is need for high compute and high performance CPUs.
- These are best suited for high performance web servers, compute-intensive application servers, and dedicated gaming servers.
- These can also be used for batch processing workloads that require processing several transactions in a single group.
- Applications that require high server performance or that employ a machine learning model will benefit from Compute Optimized Instances.
3. Memory Optimized Instances
- Memory Optimized Instances are geared for workloads that need huge datasets to be processed in memory.
- Memory here defines RAM which allows us to do multiple tasks at a time.
- Memory is a temporary storage area.
- It loads from storage, holds the data, and process it before the computer can run it.
- These are best when huge amounts of data need to be preloaded before running the app.
4. Accelerated Computing Instances
- These use hardware accelerators.
- Co-processors are used to execute specific operations more effectively than software running on CPUs.
- Graphics applications, game streaming, and application streaming are all good candidates for Accelerated Computing Instances.
- Data pattern matching can be done more efficiently with this instance type.
5. Storage Optimized Instances
- These are made for workloads that demand fast, sequential read and write access to huge datasets.
- Distributed file systems, data warehousing applications, and high frequency online transaction processing (OLTP) systems are examples of workloads that are suited for storage instances.
- These are built to provide applications with the lowest latency while accessing the data.
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