Which AWS Compute Service Do I Need?

With the ever increasing and expanding service catalog being developed by the engineers at AWS, it’s easy to get confused when it comes to understanding which AWS Compute service you need and which service you should be using for your deployments. Which service offers me the quickest deployment?” or “Which service offers the best managed solution?”or “Which AWS Compute service do I need?” are some of the most frequently asked questions.

Whether you are looking for the right compute, storage, database, or networking service, there is an array to choose from, each with a unique list of benefits, use cases, methodologies, and mechanisms to suit your specific need. However, if you don’t know what’s available, you’re likely to incur greater inefficiencies and resources, and consequently, greater costs, as a result.

In this post, we’ll explore the range of compute services available for AWS to help you choose the one that’s right for you.

Getting clear on “compute”

Before going any further, let’s clarify what ‘compute’ actually refers to so that we have an understanding of the services that fall into this category.

Compute resources can be considered the brains and processing power that are required by applications and systems to carry out computational abilities via a series of instructions.

Essentially, compute is closely related to common server components that many of you will be familiar with such as central processing units (CPUs) and random access memory (RAM). With that in mind, a physical server within a data center would be considered a compute resource as it may have multiple CPUs and many gigabytes of RAM to process instructions given by the operating system and applications.

Within AWS, compute resources can be consumed in different quantities, for different periods of time, and across a range of use cases offering a wide scope of performance options. Choosing the right AWS compute resource will really depend on your requirements, so understanding this is key.

With that in mind, you must first define the requirements for your solution: What are you trying to achieve?  For example, you may just want to deploy a couple of instances to act as Bastion Hosts within your public subnet of your VPC, or provision a number of servers to act as a web tier receiving HTTP requests for your website. Or, you may need to deploy new applications using Docker within your AWS environment.

These scenarios all require compute resources in some form to implement the solution. However, each would be best implemented using a different compute service. Knowing this can save you time, money, and effort across your deployments.

AWS Compute options

The range of compute services available is growing all the time, with two of the most recent,  Amazon Lightsail and AWS Batch, released at the end of 2016. The current AWS Compute category (at the time of this post) consists of six different services. Here is a high-level overview of each: 

  Amazon Elastic Compute Cloud (EC2)      

EC2 is the most common compute service that AWS offers. It allows you to deploy a selection of on-demand instances offering a wide array of different performance benefits within your AWS environment. These can be scaled up and down as necessary.

 EC2 Container Service (ECS)

This service allows you to run Docker-enabled applications packaged as containers across a cluster of EC2 instances without requiring you to manage a complex and administratively heavy cluster management system.  

AWS Elastic Beanstalk

AWS Elastic Beanstalk is a managed service that will take your uploaded web application code and automatically provision and deploy the appropriate and necessary resources within AWS to make the web application operational.  These resources can include other AWS services and features such as an EC2, auto scaling, application health monitoring, and Elastic Load Balancing.  

 AWS Lambda

AWS Lambda is a service that allows you to run your own code using only milliseconds of compute resource in response to event driven triggers in a highly available and scalable serverless environment.  This makes it easy to build applications that will respond quickly to new information.

 AWS Batch

This service is used to manage and run batch computing workloads. Batch Computing requires a vast amount of compute power across a cluster of compute resources to complete batch processing by executing a series of jobs or tasks.

 Amazon Lightsail

Amazon Lightsail is essentially a virtual private server (VPS) backed by AWS infrastructure, much like an EC2 instance but without as many configurable steps throughout its creation.  It has been designed to be simple, quick, and easy to use for small scale use cases by small businesses or for single users.

Other compute services

Some compute services have been created in response to the requirements and requests of the community. As the consumers of cloud resources, we want to be able to provision these quickly, reliably, and with minimal manual input to help reduce errors along the way.

AWS recognizes that not every implementation or solution that requires a compute resource fits the parameters and restrictions of existing services such as Amazon EC2 or AWS Elastic Beanstalk. New services are born and developed to meet and serve a specific compute request.

As other technologies such as Docker and serverless computing become more prevalent within the cloud computing environment, the need to develop compute resources that are optimized for these technologies becomes a must. In fact, some of these technologies are only possible by doing so. For example, AWS Lambda allows customers to take advantage of serverless computing. This continual evolution of services ensures that customers can take advantage of the latest technologies within AWS.

Others services have been designed for different purposes, such as enhanced deployment management, which brings convenience and simplicity to the customer, such as AWS Elastic Beanstalk.

The solutions and resources that are provisioned by the AWS Elastic Beanstalk service can be created manually using other services, and by importing your application code.  Using Elastic Beanstalk, the manual provisioning and configuration are taken care of by the service itself.

This is perfect for engineers who may not have the familiarity or skills with AWS that they need to deploy, monitor, and scale the correct environment to run their developed applications themselves.  Instead, this responsibility is passed on to AWS Elastic Beanstalk to deploy the correct infrastructure to run the uploaded code. This provides a simple, effective, and quick solution to the application deployment rollout.

As I mentioned previously, it’s important to understand which service options are available to you. Selecting the most appropriate service for your needs can help you to save money by reducing the amount of internal effort required from a personnel perspective alone. Using the AWS Elastic Beanstalk service example above, if you moved from manual deployments to using this service, then time, efficiency, resource, and cost will ALL benefit by passing additional responsibility onto the AWS service specifically around provisioning.

This ultimately allows you to spend more time in developing great new applications and less time on planning your deployment strategies.

Which AWS Compute service do I need?

So, when you find yourself asking “Which AWS Compute service do I need?”, here are some questions that you’ll need to answer: 

  1. What is the end goal for your deployment? Which aspect is most important to the solution: Is it deployment time, simplicity, management, security, responsibility, cost, or something else?  Knowing this will help you select the features that best meet your requirements.
  2. What are your compute requirements from a performance perspective? How much CPU, memory, and network bandwidth do you need? Although some services do not require all of this information, it’s still recommended that you know the minimum specifications for your application or service deployment.
  3. Do you know which AWS Compute options are available to you that are suitable for your deployment? If the answer is no, I recommend that you invest time and effort into gaining this knowledge as it will ultimately help you deploy a robust and cost-effective solution.

If you would like to know more about the AWS Compute services in greater detail, I highly recommend our “Compute Fundamentals for AWS” course.
Compute Fundamentals for AWS Course
On completion of the 90+ minute course, you will:

  • Understand compute resources
  • Be able to explain each of the compute resources used within AWS
  • Be able to select the most appropriate compute resource based on your requirements
  • Understand the benefits of Elastic Load Balancing and Auto Scaling and how they can work together to manage resource demand

The topics covered within this course include:

  • What is Compute?
  • Amazon Elastic Compute Cloud (EC2)
  • Elastic Load Balancing & Auto Scaling
  • Amazon ECS
  • AWS Elastic Beanstalk
  • AWS Lambda
  • AWS Batch
  • Amazon Lightsail
Avatar

Written by

Stuart Scott

Stuart is the AWS content lead at Cloud Academy where he has created over 40 courses reaching tens of thousands of students. His content focuses heavily on cloud security and compliance, specifically on how to implement and configure AWS services to protect, monitor and secure customer data and their AWS environment.


Related Posts

Alisha Reyes
Alisha Reyes
— December 5, 2019

New on Cloud Academy: AWS Solution Architect Lab Challenge, Azure Hands-on Labs, Foundation Certificate in Cyber Security, and Much More

Now that Thanksgiving is over and the craziness of Black Friday has died down, it's now time for the busiest season of the year. Whether you're a last-minute shopper or you already have your shopping done, the holidays bring so much more excitement than any other time of year. Since our...

Read more
  • AWS
  • AWS solution architect
  • AZ-203
  • Azure
  • cyber security
  • FCCS
  • Foundation Certificate in Cyber Security
  • Google Cloud Platform
  • Kubernetes
Avatar
Cloud Academy Team
— December 4, 2019

Understanding Enterprise Cloud Migration

What is enterprise cloud migration? Cloud migration is about moving your data, applications, and even infrastructure from your on-premises computers or infrastructure to a virtual pool of on-demand, shared resources that offer compute, storage, and network services at scale. Why d...

Read more
  • AWS
  • Azure
  • Data Migration
Wendy Dessler
Wendy Dessler
— November 27, 2019

6 Reasons Why You Should Get an AWS Certification This Year

In the past decade, the rise of cloud computing has been undeniable. Businesses of all sizes are moving their infrastructure and applications to the cloud. This is partly because the cloud allows businesses and their employees to access important information from just about anywhere. ...

Read more
  • AWS
  • Certifications
  • certified
Avatar
Andrea Colangelo
— November 26, 2019

AWS Regions and Availability Zones: The Simplest Explanation You Will Ever Find Around

The basics of AWS Regions and Availability Zones We’re going to treat this article as a sort of AWS 101 — it’ll be a quick primer on AWS Regions and Availability Zones that will be useful for understanding the basics of how AWS infrastructure is organized. We’ll define each section,...

Read more
  • AWS
Avatar
Dzenan Dzevlan
— November 20, 2019

Application Load Balancer vs. Classic Load Balancer

What is an Elastic Load Balancer? This post covers basics of what an Elastic Load Balancer is, and two of its examples: Application Load Balancers and Classic Load Balancers. For additional information — including a comparison that explains Network Load Balancers — check out our post o...

Read more
  • ALB
  • Application Load Balancer
  • AWS
  • Elastic Load Balancer
  • ELB
Albert Qian
Albert Qian
— November 13, 2019

Advantages and Disadvantages of Microservices Architecture

What are microservices? Let's start our discussion by setting a foundation of what microservices are. Microservices are a way of breaking large software projects into loosely coupled modules, which communicate with each other through simple Application Programming Interfaces (APIs). ...

Read more
  • AWS
  • Docker
  • Kubernetes
  • Microservices
Nisar Ahmad
Nisar Ahmad
— November 12, 2019

Kubernetes Services: AWS vs. Azure vs. Google Cloud

Kubernetes is a popular open-source container orchestration platform that allows us to deploy and manage multi-container applications at scale. Businesses are rapidly adopting this revolutionary technology to modernize their applications. Cloud service providers — such as Amazon Web Ser...

Read more
  • AWS
  • Azure
  • Google Cloud
  • Kubernetes
Avatar
Stuart Scott
— October 31, 2019

AWS Internet of Things (IoT): The 3 Services You Need to Know

The Internet of Things (IoT) embeds technology into any physical thing to enable never-before-seen levels of connectivity. IoT is revolutionizing industries and creating many new market opportunities. Cloud services play an important role in enabling deployment of IoT solutions that min...

Read more
  • AWS
  • AWS IoT Events
  • AWS IoT SiteWise
  • AWS IoT Things Graph
  • IoT
Avatar
Cloud Academy Team
— October 23, 2019

Which Certifications Should I Get?

As we mentioned in an earlier post, the old AWS slogan, “Cloud is the new normal” is indeed a reality today. Really, cloud has been the new normal for a while now and getting credentials has become an increasingly effective way to quickly showcase your abilities to recruiters and compan...

Read more
  • AWS
  • Azure
  • Certifications
  • Cloud Computing
  • Google Cloud Platform
Valery Calderón Briz
Valery Calderón Briz
— October 22, 2019

How to Go Serverless Like a Pro

So, no servers? Yeah, I checked and there are definitely no servers. Well...the cloud service providers do need servers to host and run the code, but we don’t have to worry about it. Which operating system to use, how and when to run the instances, the scalability, and all the arch...

Read more
  • AWS
  • Lambda
  • Serverless
Avatar
Stuart Scott
— October 16, 2019

AWS Security: Bastion Hosts, NAT instances and VPC Peering

Effective security requires close control over your data and resources. Bastion hosts, NAT instances, and VPC peering can help you secure your AWS infrastructure. Welcome to part four of my AWS Security overview. In part three, we looked at network security at the subnet level. This ti...

Read more
  • AWS
Avatar
Sudhi Seshachala
— October 9, 2019

Top 13 Amazon Virtual Private Cloud (VPC) Best Practices

Amazon Virtual Private Cloud (VPC) brings a host of advantages to the table, including static private IP addresses, Elastic Network Interfaces, secure bastion host setup, DHCP options, Advanced Network Access Control, predictable internal IP ranges, VPN connectivity, movement of interna...

Read more
  • AWS
  • best practices
  • VPC