Top 35 AWS Services List

Amazon Web Services (AWS) is one of the leading cloud platforms, offering more than 240 services to customers. Amazon reports that AWS’s net sales were $37.6 billion with 28% Y/Y growth in Q1 2026. Operating income was $14.2 billion, up from $11.5 billion in Q1 2025.\

AWS provides simple, cost-effective cloud services that help organizations achieve greater efficiency. It is crucial to learn AWS services if you plan to build a career in cloud computing.

In this article, we discuss the top 35 AWS services for your understanding. Also, you can learn about the objectives of AWS services, their features, and their benefits from this blog.

Table of Contents

• Top 35 AWS Services List
• How to access AWS services?
• Which one is better for Compute – AWS EC2 vs Lambda vs Fargate
• Which one is the best for storage – AWS S3 or EFS?
• Frequently Asked Questions

Top 35 AWS Services List

We’ll go through the key AWS Services in this section, from the latest to the oldest, one by one. Let’s get started!

1) Amazon Q Developer

Amazon Q Developer is a generative AI-powered coding assistant. The agentic capabilities of this tool enable it to perform software development tasks autonomously.

By using this tool, you can test, review, and refactor code and document code. This tool helps speed up .NET porting and Java upgrades, streamlining development processes and reducing costs.

2) AWS Trainium

AWS Trainium is a family of custom AI accelerator chips designed by AWS. You can use these chips for training large-scale ML and generative AI models. When you want to manage high-performance AI workloads, you can use AWS Trainium for maximum efficiency.

There are three Trainium versions: Trainium1, Trainium2, and Trainium3.

• First-generation Trainium (2022) – It is the first-generation AI training chip that powers EC2 Trn1 instances
• Trainium2 (2024) – A machine learning chip from AWS. Every Trainium2 chip has eight NeuronCore-v3 cores.
• Trainium3 (2025) – It is the first 3nm AI chip that has more computing power than Trainium2. It has eight NeuronCore-v4 cores.
• Trainium4 – It is the fourth-generation AI chip with 6x FP4 throughput, 3x FP8 performance, and more. The chip supports NVIDIA NVLink fusion, which enables hybrid deployments.

3) Amazon Bedrock

Amazon Bedrock is a fully managed generative AI service that you can use to build AI applications. By leveraging this service, you can avoid managing GPUs, model hosting, or infrastructure.

You can use this service to access multiple AI models from different providers. It is widely used in enterprise Chatbots, document Q&A systems, content generation, and code generation.

Further, Amazon Bedrock can be used to evaluate and fine-tune AI models, manage knowledge bases and prompts, and more.

4) Amazon EKS

You can use this Amazon Elastic Kubernetes Service to build, run, and scale Kubernetes applications in cloud environments. You can also use Amazon EKS auto mode to automate Kubernetes cluster management.

Moreover, Amazon EKS supports automatic capacity planning and scaling. It uses AWS’s native integrations and security services to run workloads in a secure environment. It optimizes performance and costs for AI/ML workloads and new cloud-native applications.

5) Amazon ECS

Amazon ECS is a fully managed container orchestration service. With Amazon ECS, you can build, manage, and run containerized applications at any scale.

It uses IAM roles, automated patching, encryption, and application isolation to ensure the security of your cloud environment. Ultimately, it reduces total cost of ownership (TCO) through pay-as-you-go pricing.

 

6) Amazon AppFlow

Amazon AppFlow is a no-code service that allows effortless integration between SaaS applications and AWS services. To be more precise, it securely automates data flows that integrate third-party applications and AWS services without using code.

You can transfer data between SaaS applications such as Salesforce, SAP, Google Analytics, and Amazon Redshift using AppFlow. Mainly, this service automates data preparation using partitioning and aggregation.

7) AWS Firewall Manager

AWS Firewall Manager is the central management service for firewall rules. It supports managing firewall rules across applications and accounts. The common security rules help to manage new applications included over time.

It is a one-time solution for creating and implementing firewall rules and security policies across any cloud infrastructure. AWS Firewall Manager helps you audit VPC security groups for compliance requirements and control network traffic effectively.

8) Amazon Inspector

Amazon Inspector is an automated vulnerability management service. This service offers continuous and automated vulnerability management for Amazon EC2 and Lambda. It allows scanning AWS workloads for software vulnerabilities and unwanted network exposure.

Amazon Inspector quickly identifies vulnerabilities, enabling immediate action to resolve them before they worsen the applications. Moreover, it supports compliance with meeting compliance requirements and reduces the time to remediate vulnerabilities. And it provides you with accurate risk scores and a streamlined workflow.

9) Amazon Cognito

It is the identity management AWS service. Amazon Cognito manages identities for accessing your applications and resources. Mainly, this service helps quickly add sign-in, sign-up, and access control to various applications. It can support millions of users to sign in with familiar applications such as Apple, Facebook, Google, and Amazon.

In Amazon Cognito, the ‘Cognito user pools’ feature can be set up without any infrastructure, and pool members will have a directory profile. It supports multi-factor authentication and encryption of data at rest and in transit.

 

10) Amazon CloudWatch

This AWS service monitors cloud resources and applications. It is a single platform that helps monitor all AWS resources and applications, increasing visibility and enabling quick responses to issues.

Mainly, Amazon CloudWatch provides actionable insights to optimize monitoring of applications, system-wide performance, and resource utilization. And you can get a complete view of the health of AWS resources, applications, and services running on AWS and on-premises.

In addition, Amazon CloudWatch helps detect anomalies in cloud environment behavior, set alarms, visualize logs and metrics, trigger automated actions, troubleshoot issues, and uncover insights.

11) Amazon Redshift

Amazon Redshift is a quick, simple, and cost-effective data warehousing service. You can gain insights about cloud data warehousing in an easy, faster, and more secure way. It enables analysis of all data across operational databases, data lakes, and data warehouses.

Amazon Redshift helps analyze large volumes of data and run complex analytical queries. With its automation capabilities, this service increases query speed and provides the best price-performance.

It enables zero-ETL integrations, SQL analytics on unified data, and boosts productivity using generative AI. You can use the Redshift Query Editor to write SQL queries using natural language.

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12) Amazon SQS

Amazon SQS is a fully managed message queuing service. There are two Amazon SQS types: SQS Standard and SQS FIFO. Here, the SQS standard offers features such as maximum throughput, best-effort ordering, and quick delivery. And SQS FIFO processes messages only once, in the same order in which they were sent.

Amazon SQS enables decoupling and scaling for microservices, distributed systems, and serverless applications. It helps you send, receive, and manage messages in large volumes. 

Moreover, there is no need to install and maintain other messaging software, reducing costs significantly. Additionally, scaling is performed quickly and automatically in this service.

13) AWS IAM

AWS IAM is the Identity and Access Management (IAM) service offered by AWS for securely accessing applications and resources. It controls access to various resources based on roles and access policies, enabling fine-grained access control.

The AWS IAM access analyzer helps streamline permission management by setting, verifying, and refining permissions. In addition, AWS IAM attribute-based access control helps create fine-grained permissions based on multiple user attributes.

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14) Amazon Elastic File System (EFS)

Amazon EFS is a fully managed file system for Amazon EC2. It is a simple, serverless, elastic file system. You can build and configure file systems without provisioning, deploying, patching, or maintenance using Amazon EFS. 

Here, files can be added and deleted as needed. You can pay only for the space you use, so this service helps reduce costs.

15) Amazon Kinesis

Amazon Kinesis is the AWS service you can use to collect, process, and analyze video and data streams in real time. Here, the data may be audio, application logs, website clickstreams, and IoT telemetry. Then it generates real-time insights within minutes once the data arrives. 

With the help of Amazon Kinesis, you can stream and process large volumes of real-time data on serverless infrastructure with low latency.

16) Amazon EBS

Amazon Elastic Block Store (EBS) is the block storage service. It simplifies scaling high-performance workloads, including SAP, Oracle, and Microsoft products. It helps resize clusters for big data analytics engines such as Hadoop and Spark.

Also, you can build storage volumes, optimize storage performance, and significantly reduce costs. Amazon EBS’s lifecycle management provides policies that you can use to create and manage backups effectively.

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17) Amazon SNS

Amazon SNS is the Amazon Simple Notification Service (SNS). It is a messaging service for Application-to-Application (A2A) and Application-to-Person (A2P) communication.

Here, A2A facilitates many-to-many messaging among distributed systems, microservices, and event-driven serverless applications. And A2P supports applications that send messages to many users via email, SMS, and other channels.

For example, you can send up to ten messages in a single API request. With its filtering systems, subscribers will receive messages that they ideally need. Additionally, Amazon SNS integrates with Amazon SQS to deliver messages reliably.

18) Amazon S3 Glacier

Amazon S3 Glacier is a low-cost cloud archive storage service. It is built with three storage classes: S3 Glacier Instant Retrieval, Flexible Retrieval, and Deep Archive.

You can use the instant retrieval class for image hosting, file-sharing applications, and medical imaging. Flexible retrieval can be used for backup and disaster recovery. Deep archive is ideal for financial services, healthcare, and media and entertainment.

19) Amazon ElastiCache

Amazon ElastiCache is a fully managed, flexible in-memory caching service from AWS. It supports increasing the performance of your applications and databases. This service helps reduce database load by caching data in memory. 

Amazon ElastiCache provides in-memory access with high speed, microsecond latency, and high throughput. It helps reduce costs and eliminate the operational overhead of your business.

20) Amazon EC2 Auto Scaling

Amazon EC2 Auto Scaling scales computing capacity to meet demand accurately.  It is achieved by automatically adding or removing EC2 instances. There are two types of scaling: dynamic and predictive.

Here, dynamic scaling responds to current demands, whereas predictive scaling responds to predictions. By using Amazon EC2 Auto Scaling, you can identify inefficient EC2 instances, terminate them, and replace them with new ones.

[Related Article: What is AWS SageMaker]

21) AWS Elastic Beanstalk

This AWS service supports the running and management of web applications. Elastic Beanstalk enables the easy deployment of applications, from capacity planning and load balancing to application health monitoring. With its auto-scaling capabilities, Elastic Beanstalk simplifies scaling to meet business needs.

It helps manage peaks in workload and traffic at minimal cost. Basically, AWS Elastic Beanstalk is a tool that manages servers, load balancers, firewalls, and networking with ease. As a result, this service allows developers to focus more on coding.

22) Amazon CloudFront

This is the AWS service that delivers content globally, which offers high performance and security. Mainly, it delivers data with high speed and low latency. This service delivers content to destinations using automated network mapping and intelligent routing mechanisms.

In this service, data security is enhanced through traffic encryption and access controls. You can transfer data within milliseconds with its data compression, edge computing, and field-level encryption capabilities. Besides, you can stream high-quality video to any device using AWS Media Services and Amazon CloudFront.

23) Amazon SageMaker

Amazon SageMaker is the AWS service that enables you to build, train, and deploy ML models at scale. It is an analytical tool that uses ML capabilities to analyze data more efficiently.

You can use SageMaker Unified Studio to perform analytics using all your data and tools. In addition, you can use SageMaker Catalog to discover, collaborate, and govern data efficiently.

24) Amazon Lightsail 

Amazon Lightsail is an AWS service for building web applications. It offers Virtual Private Server instances, containers, databases, and storage resources to customers.

With this service, you can quickly and at low cost create websites using preconfigured applications such as WordPress, Magento, PrestaShop, and Joomla. In addition, it is the best tool for testing, allowing you to create, test, and delete sandboxes for your new ideas.

25) Amazon VPC

Amazon VPC is a virtual private cloud that lets you control the virtual networking environment. It helps you build and manage compatible VPC networks across AWS cloud resources and on-premises environments.

It enhances cloud security by applying rules for inbound and outbound connections. Also, it monitors VPC flow logs delivered to Amazon S3 and Amazon CloudWatch to gain visibility over network dependencies and traffic patterns.

Additionally, Amazon VPC prevents data leakage and enables troubleshooting network connectivity and configuration issues.

26) AWS Lambda

AWS Lambda is a serverless, event-driven compute service from AWS. It allows third-party code to run with VM-level isolation. Mainly, it does not use any shared kernels, shared memory, or shared states between tenants.

So, this service automatically accepts 'code execution requests' irrespective of its scale. Additionally, you can pay only for the time actually spent, enabling effective cost control with AWS Lambda.

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27) Amazon RDS

Amazon RDS is the managed relational database service (RDS). It supports MySQL, PostgreSQL, Oracle, SQL Server, and MariaDB databases. It enables you to set up, operate, and scale a relational database in the cloud.

Also, it achieves high performance by automating tasks such as hardware provisioning, database setup, patching, and backups. When you use Amazon RDS, you don’t need to install and maintain the database software.

Overall, you can optimize costs by embracing this service and achieve high availability, security, and compatibility for your resources.

28) Amazon DynamoDB

DynamoDB is a fully managed, serverless NoSQL database service from AWS. It is a fast and flexible database system that offers developers innovative opportunities at low cost. It delivers enhanced performance with high throughput.

DynamoDB has built-in tools to generate actionable insights and useful analytics and to monitor traffic trends in applications.

29) Amazon Aurora

Amazon Aurora is a MySQL- and PostgreSQL-compatible relational database with high performance. It delivers 6x throughput over MySQL and PostgreSQL. It automates crucial tasks such as hardware provisioning, database setup, backups, and patching.

Amazon Aurora is a distributed, fault-tolerant, self-healing storage system that can scale automatically as needed. Besides, you can significantly reduce costs and enhance database security, availability, and reliability.

30) Amazon Simple Storage Service (S3)

Amazon S3 is an object storage service that you can scale based on your workloads. It helps users to access any quantity of data from anywhere. You can use storage classes to optimize costs, organize data, and configure access controls.

With Amazon S3, your data is highly secured and meets audit and compliance requirements. You can handle any volume of data with Amazon S3’s robust access controls, replication tools, and higher visibility. Moreover, it supports maintaining data versions and preventing accidental deletion.

31) Amazon Fargate 

Amazon Fargate is a serverless compute engine. You can use this service to build applications without managing servers. It follows the pay-as-you-go pricing model.

Leveraging this tool helps organizations significantly reduce operational overhead and costs. That’s because AWS manages servers, resource allocation, and scaling, freeing customers from these tasks.

32) Amazon Elastic Compute Cloud  (EC2)

Amazon EC2 is an AWS cloud computing service that offers virtual servers for managing any kind of workload. It facilitates the computing infrastructure with the best-suited processors, networking facilities, and storage systems. As a result, it supports precise adaptation to workloads.

Amazon EC2 provides highly secure, reliable, and high-performance computing infrastructure that meets business demands. And it helps you access resources quickly and dynamically scale capacity as per demand.

33) Amazon Route 53

Amazon Route 53 is a scalable cloud Domain Name System (DNS) service. It allows end-users to connect to Amazon EC2, Elastic Load Balancing, Amazon S3 buckets, and even resources outside AWS.

In this service, the feature ‘Route 53 application recovery controllers’ configures DNS health checks and helps monitor the capability of systems to recover from failures. ‘Route 53 traffic flow’ helps manage traffic worldwide using routing methods such as latency-based routing, Geo-proximity, GeoDNS, and weighted round-robin.

34) AWS CloudFormation

This AWS service creates and manages resources with templates. It automates resource management with AWS service integration and offers turnkey application distribution and governance controls.

Also, AWS CloudFormation can automate, test, and deploy infrastructure as part of continuous integration and delivery. You can run applications right from AWS EC2 to complex multi-region applications using this service.

35) AWS Key Management Service (KMS)

AWS KMS manages the creation and control of encryption keys. It means that AWS KMS creates cryptographic keys and controls their use across various applications.

You can achieve a secure and resilient service by using hardware-resilient modules to protect keys. This service can be integrated with AWS CloudTrail to provide logs of all key usage, precisely fulfilling compliance and regulatory requirements.

Now that you have gone through the key AWS services and their immersive features and capabilities. Let’s look at how to access AWS services.

How to Access AWS Services?

You can access AWS services in many ways. Let’s review some of them here.

1. AWS Management Console

AWS Management Console is one of the easiest ways to access AWS services using a web browser. Beginners and administrators can use this method to access AWS resources through a web-based graphical user interface.

It is a graphical user interface (GUI) that allows you to access the numerous services offered by Amazon Web Services. You can use this GUI on your smartphone. The services provided in the web-based application vary by region.

The top navigation bar includes the search bar, region selector, Cloud Shell, and more. You can view AWS health notifications, cost and billing shortcuts, and favorite services in the console home dashboard.

1. • Features of AWS Console
     • The AWS Console web application works through cloud computing.
     • It helps you manage AWS accounts in all aspects.
     • It will update you on monthly spending by providing details of everything you have used.
     • It provides IAM-based access control to users.
     • Its IAM Identity Center allows multi-account access.
       
       
2. AWS command line interface: You can use this AWS CLI to access and manage AWS resources using a command prompt. You can follow this method for automation, scripting, and DevOps tasks.
3. AWS SDKs: You can use AWS SDKs to access AWS services using programming languages. For example, you can use Python (Boto3), JavaScript (@aws-sdk), .NET, and more.
4. AWS CloudShell: AWS CloudShell is a browser-based shell built into the AWS console, so you don’t need to set it up.

Which one is better for Compute – AWS EC2 vs Lambda vs Fargate

You can choose AWS EC2 when you want to:

• Complete control over the operating system
• Run ERP systems and legacy applications
• Manage GPU workloads
• Train AI models using Trainium
• Run long-running applications such as web servers and databases

You can prefer AWS Lambda when you need to:

• Run short-lived functions
• Build event-driven architectures
• Manage microservices
• Manage unpredictable traffic
• Process files stored in S3

You can pick Fargate when you want to:

• Run Docker containers
• Deploy microservices
• Use Kubernetes or Amazon ECS

However, some organizations use the three services above together based on their needs.

Which one is the best for storage – AWS S3 or EFS?

You can use AWS S3 when you want to:

• Store backups, media files, images, videos, logs, and AI datasets
• Share files publicly and privately over HTTP/HTTPS
• Host static websites
• Build data lakes and analytics platforms

You can use Amazon EFS when:

• Your applications require a shared file system
• Need to manage home directories
• Your legacy applications require POSIX-compliant storage
• Multiple EC2 instances require concurrent file access

Frequently Asked Questions:

1) What are the most popular AWS services in 2026?

Amazon EC2, Amazon S3, AWS Lambda, Amazon RDS, Amazon Bedrock, and Amazon SageMaker are among the most popular AWS services in 2026.

2) Which AWS service should I learn first?

If you are a beginner, you can start by learning about Amazon S3, then dive into AWS EC2, AWS IAM, Amazon RDS, AWS Lambda, DynamoDB, and so on.

3) How many services does AWS offer?

AWS offers more than 240 fully featured cloud services across domains, including compute, storage, networking, databases, analytics, and more.

Conclusion:

We hope this article helped you understand how AWS services help organizations automate IT operations, implement best practices, improve performance, and optimize costs. 

If you are interested in learning more about AWS services, you can attend MindMajix’s AWS courses. By the end of the training, you will gain extensive knowledge of the AWS platform, its services, and its best practices.