Observed Signal · Aug 14, 2026 · Technical Article · Source: DEV Community · Impact: 2/5 · Sentiment: Neutral
Infrastructure Market: AWS Compute Core: EC2, ELB, Auto Scaling
This technical blog post explains AWS compute fundamentals: Amazon EC2 (virtual machines), Elastic Load Balancer (ELB) types and behavior, and Auto Scaling for automatic capacity adjustments. It defines elasticity (horizontal scaling) versus scalability (vertical scaling), describes high-availability practices (redundancy, monitoring, failover), and details ELB components (listeners, target groups, cross-zone balancing) and Auto Scaling components (Launch Template, Auto Scaling Group, scaling policies including target tracking, step and scheduled scaling). The article ties these pieces together to show how ELB + Auto Scaling provide fault-tolerant, elastic application hosting on AWS.
Provides a clear primer on AWS compute primitives (EC2, ELB, Auto Scaling) that are foundational for cloud architecture used across industries, including AdTech, but does not announce platform-level changes or industry-shifting news.
Key Takeaways & Evidence Grounding
- Amazon EC2 provides virtual machines (instances) that customers fully control, including OS, patching, and installed software.
- Elasticity (horizontal scaling) changes the number of servers automatically via Auto Scaling; scalability (vertical scaling) changes the size of a server by modifying its instance type and requires stopping the instance.
- Elastic Load Balancer (ELB) distributes incoming traffic across multiple EC2 instances and exists in three types: Application Load Balancer (ALB), Network Load Balancer (NLB), and Classic Load Balancer (CLB).
- ELB uses listeners and target groups; health checks run at the target group level (roughly every 30 seconds) to determine instance health.
- Auto Scaling is built from Launch Templates, Auto Scaling Groups (ASGs) that set min/desired/max capacity and AZs, and scaling policies such as target tracking, step scaling, and scheduled scaling.
Connected Companies & Entities
6 Entities mappedAmazon Web Services (AWS)
Enterprise cloud infrastructure, data and AI platform provider.
“EC2 lets you create virtual machines in the cloud, called instances. It's the AWS service where you launch and fully control servers yoursel...”
Professional social platform for hiring, advertising, sales and learning.
“Where to read & follow: LinkedIn: https://www.linkedin.com/in/soumyaranjan-palatasingh/...”
Eternal
Indian commerce platform spanning food, quick commerce and urban experiences.
“IaaS = you cook the biryani yourself — full control, full responsibility (EC2). PaaS = you eat at a restaurant — someone else runs the kitch...”
GitHub
Developer platform for code collaboration, automation and AI coding.
“Where to read & follow: GitHub: https://github.com/sr-palatasingh/AWS-DevOps-Blog/tree/main/posts...”
Swiggy
Indian on-demand food and quick commerce marketplace platform.
“IaaS = you cook the biryani yourself — full control, full responsibility (EC2). PaaS = you eat at a restaurant — someone else runs the kitch...”
Salesforce
Enterprise SaaS platform for CRM, marketing, data, analytics, and workflows.
“IaaS = you cook the biryani yourself — full control, full responsibility (EC2). PaaS = you eat at a restaurant — someone else runs the kitch...”
Ontology Mapping & Concepts
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