Introduction to Amazon EC2 Amazon Elastic Compute Cloud EC2 is an infrastructure as a service (IaaS) service that allows you to rent virtual servers in the AWS cloud flexibly and scalably. EC2 offers virtual machines called instances that can be configured with different CPU, memory, and storage capacities to run web applications, databases, artificial intelligence processes, and development and testing environments.
Why use EC2 Elasticity to adjust capacity based on demand, horizontal and vertical scalability, full control of the operating system and environment, native integration with other AWS services such as S3, RDS, VPC, CloudWatch, IAM, and ease of automating deployments through CloudFormation or CI/CD tools. EC2 is ideal for custom applications, custom software, and workloads that require dedicated control and performance.
Main features Rapid provisioning of instances, network configurations through Security Groups and VPC, SSH keys for secure access, snapshots and AMIs to create reusable images, per-second or per-hour billing, EBS storage types, and reserved, spot, and on-demand instance options to optimize costs.
Instance types and use cases General Purpose M5 T3 balanced for web servers and enterprise applications. Compute Optimized C5 for CPU-intensive workloads such as high-performance processing. Memory Optimized R5 for in-memory databases, big data, and caches. Storage Optimized I3 for intensive I/O and search engines like Elasticsearch. GPU G4 P3 for inference and training of artificial intelligence models and graphics processing. FPGA F1 for custom acceleration and financial engineering and telecommunications workloads.
How to launch a Linux instance 1 Access the AWS console 2 Go to EC2 and select Launch Instance 3 Choose a Linux AMI such as Amazon Linux or Ubuntu 4 Select instance type Free Tier t2 micro if applicable 5 Configure instance details, network, and storage 6 Configure Security Group to allow SSH port 22 from allowed sources 7 Create or select a key pair and download the PEM file 8 Launch the instance 9 Connect via SSH with the command ssh -i your-key.pem ec2-user@your-public-ip
How to launch a Windows instance 1 Access the AWS console and launch an instance 2 Select a Windows Server AMI 3 Select the appropriate instance type 4 Configure network and storage 5 Configure Security Group to allow RDP port 3389 from allowed sources 6 Launch the instance 7 Obtain the password using the private key and connect via Remote Desktop with the public IP
Convert PEM to PPK on Windows To use PuTTY on Windows, convert the PEM key to PPK format with PuTTYgen: open PuTTYgen, load the PEM file, and save the private key in PPK format, then use PuTTY specifying the PPK key for the SSH session.
Create an AMI from an instance In the EC2 console, select the instance, expand Actions, Image and templates, Create image, provide a name and options, and create the AMI. The created image allows launching new instances with the same configuration, system, and installed applications, facilitating backups and reproducible deployments.
Security best practices Use Security Groups and Network ACLs, limit access through IAM roles, use keys and secrets with rotation, enable CloudTrail and CloudWatch for auditing and metrics, encrypt EBS volumes and backups, enable data protection, and apply patches to the operating system and applications.
Integration with other cloud services EC2 works alongside S3 for object storage, RDS for managed databases, EFS for shared file systems, Lambda for serverless functions, and business intelligence services like QuickSight. It is also common to combine AWS deployments with Azure infrastructures for multi-cloud architectures.
EC2 and artificial intelligence projects EC2 with GPU instances is an option for training machine learning models and deploying inference. Alongside managed services and data tools, it is possible to build data pipelines, train models, and serve AI agents for businesses. Q2BSTUDIO offers experience in integrating EC2 instances with artificial intelligence (AI) solutions for businesses, developing custom AI agents and optimized machine learning solutions.
About Q2BSTUDIO Q2BSTUDIO is a software development company specializing in custom applications and technology solutions, focused on artificial intelligence, cybersecurity, and AWS and Azure cloud services. We offer custom software, custom applications, business intelligence services, and Power BI solutions to analyze data and make decisions. Our team creates integrated AI agents to automate processes and improve productivity, as well as cybersecurity services to protect cloud and on-premise infrastructures.
Services we offer Custom application development, custom software implementation, deployments on AWS and Azure cloud services, artificial intelligence consulting and business intelligence services, integration of AI agents for business processes, Power BI implementation for visualization and reporting, and cybersecurity audits and data protection.
Conclusion and call to action Amazon EC2 provides the foundation for running varied workloads with control and flexibility. If you are looking to design a scalable architecture, optimize costs, or integrate artificial intelligence and business intelligence solutions, contact Q2BSTUDIO for personalized consulting and custom solutions that include custom applications, custom software, artificial intelligence, cybersecurity, AWS and Azure cloud services, business intelligence services, AI for businesses, AI agents, and Power BI.
