Amazon Web Service (AWS) is the world’s most comprehensive and broadly adopted cloud platform. It has over 200 fully featured services globally. The cloud computing capacities of AWS from data storage, server availability, databases, networking, and software management are diverse and can be integrated by many businesses. The EC2 instance is a part of the product packaging that companies can consider using different systems and applications.
The EC2 tree begins from the amazon machine image (AMI). AMI is a template that helps define the operating environment you have, and the operating system used. A business can use one AMI in the launching of several EC2 instances.
What is an instance, you ask? Well, instances are the fundamental building blocks of EC2, basically the bricks of the system. They provide compute power to run applications and other services. These instances are created when you launch the AMI on a particular instance type. With auto-scaling, it is possible to scale the production numbers up or down automatically. It can also be done manually.
Another definition in EC2 is instance types. These tend to be made up of different combinations of CPU and memory. They also have various storage sizes and networking capacities. This instance type diversity gives you the flexibility to choose an appropriate mix of resources to best suit your application needs. Their size options vary to accommodate different workload sizes.
Just like walking comfortably requires you to wear the correct shoe size, so does the best cloud computing experience depend on launching an instance type to fit your application best. A collection of instance types begets an instance family. The instance types in a family are designed to meet the same goal but in various capacities. There are several instance types grouped in at least five instance families.
Factors to Consider When Choosing EC2
Family Type Considerations
AWS has two licensing options under Amazon EC2. One is the flexible pay-as-you-go option while the second one is the bring your own license option.
General-purpose EC2 Family
EC2 Instance type examples: T4g, T3, T3a, T2, M6g, M5, M5a, M5zn, and M6gd.
Optimum use: This type of EC2 is applicable in a wide range of applications. These range from databases to servers. Some uses of the instance types include M5 and m5a instances provide ideal cloud infrastructure and offer a balance of compute, memory, and networking resources for a wide range of apps deployed in the cloud. M5zn is ideal for apps benefiting from the extremely high output and low latency networking. M6 and m6gd are suited for application servers and midsized storage.
Mac1 instances are powered by apple mac minicomputers and are best for building and testing applications on apple devices. T2, T3, T3a and T4g provide a baseline level of CPU performance with the ability to burst to higher levels when the workload requires it. They are therefore good for website and web applications, microservers, and code repositories.
Compute-intensive EC2 Family
EC2 Instance type examples: C5n, C6gd, C5 and C5a, C6g and C6gn Instances
Optimum use: This family is great for an application that benefits from high compute power. This may include data analytics, machine learning, gaming, batch processing, high-performance computing, web servers, HPC, and data analytics. C6g, c6gd, and c6gn are powered by AWS graviton processors and are ideal for running high compute-intensive workloads such as high-performance computing (HPC), distributed analytics, and Ad serving.C5 and C5n are suited for machine learning, scientific modeling, batch processing, and media transcoding.
Memory-intensive EC2 Family
EC2 Instance type examples: R5a, R5b, R5, R5n.
Optimum use: This family comprises instance types best for memory-intensive applications or systems that need to maintain a high-performance database. There are memory caches considerations with massive data analytics, in-memory analytics, or a genome assemble. R5. R5a, r5b, and r5n are of great use with high performance, relational (MySQL), and NoSQL (Mongo DB and Cassandra) databases. They are also good for high-performance computing and electronic design automation (HPC and EDA).
Accelerated Computing EC2 Family
EC2 Instance type examples: G4ad, G4dn, G3, G2, P4d, P3, P2, Inf 1, F1
Optimum use: The instance types in this family can best be used to provide GPUS or FPGAs. GPU refers to a graphic processing unit, while FPGAS refers to field-programmable gate arrays. It is best used in machine learning and numerically intensive workloads or high-performance computing. There are also the AWS inferential which helps in providing high processing capability.
GPU instances provide access to NVIDIA GPUs with a lot of compute cores. It is used for accelerating scientific, engineering, and rendering applications by leveraging CUDA or open computing language (OpenCL). It is good for 3D application streaming, gaming, and other graphic workloads.
AWS Inferentia helps to accelerate machine learning using AWS Inferentia. This custom AI/ML chip from amazon provides high performance and low latency machine learning inference. FPGA provides access to large FPGAs with millions of parallel system logic cells. They are used to accelerate workloads such as genomics, financial analysis, and real-time video processing.
Storage Optimized EC2 family
EC2 Instance type examples: D3en D2, D3, and H1.
Optimum use: yes, you guessed it right; this is the go-to family of instances for memory-intensive applications. The instance types are designed to handle workloads requiring high sequential read and write access to very large datasets on local storage. The D2 instance type is best suited for log or data processing applications, massive parallel processing data warehouses, and MapReduce and Hadoop distribution computing.
D3 and D3en are good for file storage workloads such as GPFC and BEEFS and also for large data lakes for HPC workloads. The H1 instance is best suited for applications requiring sequential access to large amounts of data or direct-attached instance storage.
- – Chipset considerations: the chipset considerations usually vary between three significant sources: Intel Xeon, AMD EPXC, and AWS gravity
- – Sizing considerations: the consideration here is what instance type size or auto-scaling group sizing is required in the minimum service requirement
- – The location of your business: this will affect the choice of deployment used. There are also different availability zones for other regions.
- – Software considerations: will you use the custom Amazon Machine Instances or the Prebaked AMIs?
Implementing the EC2 System
A look at all these EC2 instances will have you whirling on which family or instance to use. Not to mention the pricing considerations or other technical considerations if your site includes pictures and audio. From storage limits, burst rates, and business policies, the decision to adopt an EC2 can seem overwhelming. That is why it is advisable to get an AWS advanced consulting partner.
These partners help you to understand the system specifications and how to tailor them for your company best. Agilisium is a digital migrations expert with AWS experts that has delivered successful implementations and cloud transformations for its clients for 7+ years. Our Analytics Services enable you to uncover ‘digital’ opportunities to create better products & services for your customers.
It’s easy to jumpstart the process with Agilisium. All you need to do is just request an assessment for your Windows workloads (Windows Optimization and Licensing Assessment). This way, we can help you optimize and reduce more than 50% of your costs.
As an AWS Advanced Consulting Partner, we have the liberty to even provide the assessment as a complimentary offer to you. Contact us for BYOL and other cloud computing services. We will be glad to help.
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