What Is AWS Load Balancer ?

Do you know that one of the major roadblocks of running a modern application is Application downtime? This happens when your application is unavailable to users due to system failures or other problems that prevent users from accessing the application....     

To handle this major roadblock, many businesses are turning to load balancers, and one of the most popular load balancers is AWS Load Balancer.


So Let’s Understand What Is AWS Load Balancer ?


AWS is a cloud-based platform that provides a 200+ range of services for building and deploying applications. One of these services is the AWS Load Balancer, which plays an important role in distributing traffic across multiple servers or instances to improve application performance, increase availability, and ensure fault tolerance.


In simple terms, a load balancer is a server. The premise is that a server with higher CPU capacity will be faster at performing specific tasks than another server with lower hardware specifications (such as cpu speed). The term “load balancer” can signify an appliance or a software solution that manages traffic from one machine or multiple machines to selected ones depending on various parameters like Requests to the targeted servers are measured by the software. 


AWS Load Balancer Divided Into Two Types - 


  1. Application Load Balancer (ALB)

  2. Network Load Balancer (NLB)


Let’s Understand one by one What Is ALB & NLB?


The ALB (Application Load Balancer) is best suited for distributing traffic between application servers,while the NLB (Network Load Balancer) is better suited for handling traffic at the network level, such as TCP/UDP traffic.


One of the key benefits of using AWS Load Balancer is that, unlike traditional load balancers, which require manual configuration and maintenance for each application instance / virtual host that needs to be protected with load balancing:- Amazon's ElasticLoad Balancer automatically distributes incoming traffic across your instances based on rules that you define in the ELB. 


In addition, AWS Load Balancer provides health checks to ensure that only healthy instances are receiving traffic, and it can automatically route traffic away from unhealthy instances to healthy ones. This helps to ensure that your application remains available even if one or more instances become unavailable.


AWS Load Balancer also provides several features to help you customize the load balancing configuration to suit your application needs. For example, you can use sticky sessions to ensure that a user's session is always routed to the same server or instance, or you can use path-based routing to send traffic to different servers based on the URL path requested.


In conclusion, AWS Load Balancer is a powerful tool that can help you distribute traffic across multiple servers or instances, improve application performance and availability, and ensure fault tolerance. By using AWS Load Balancer, you can take advantage of a range of features that allow you to customize the load balancing configuration to suit your specific application needs and ensure that your application remains available and responsive even under high traffic loads.

Comments

Post a Comment

Popular posts from this blog

Data Transformation in Azure Data Factory: A Comprehensive Guide

Image
 Data transformation is at the heart of every data-driven decision. In Azure   Azure Data Factory (ADF), Microsoft provides a powerful platform for building scalable ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) workflows. In this guide, we’ll explore how ADF enables seamless data transformation, empowering businesses to derive actionable insights. What is Data Transformation in Azure Data Factory? Data transformation refers to modifying, restructuring, or aggregating raw data to make it usable for analytics and reporting. Azure Data Factory provides multiple tools for transformation, enabling organizations to process diverse datasets efficiently and at scale. Core Transformation Methods in ADF Mapping Data Flows : A visual interface for designing transformation logic without coding. Custom Activities : Allows the use of custom code or third-party tools for advanced transformations. Key Features of Azure Data Factory for Transformation Visual Design Interfa...
Read more

Predictive Maintenance in Manufacturing: A Data-Driven Approach

Image
Predictive maintenance is revolutionizing how manufacturers approach equipment upkeep, moving beyond reactive and time-based maintenance strategies. By leveraging data science and machine learning, predictive maintenance allows organizations to anticipate equipment failures before they occur, minimizing downtime and maximizing operational efficiency. Traditional Maintenance Approaches: Reactive Maintenance: This approach involves fixing equipment only after it has failed. It leads to unplanned downtime, production disruptions, and increased costs. Time-Based Maintenance: This involves performing maintenance at predetermined intervals, regardless of the actual equipment condition. It can lead to unnecessary maintenance and potential equipment failure between scheduled intervals. The Predictive Maintenance Revolution: Predictive maintenance utilizes data from various sources, such as sensors, equipment logs, and historical maintenance records, to predict the likelihood of equipment...
Read more

What Is AWS Cloud Computing?

AWS is a cloud computing service that provides on-demand computing and storage services, The main database storage and other services to help businesses scale. The service is available to customers from data centers located around the world.  The advantage of AWS Cloud computing is that it provides flexibility, is on-demand, and follows a pay-as-you-go model, meaning you only need to pay for what you use. Also, you can scale up or scale down resources depending on demand. Another benefit of using AWS is the ability to run your infrastructure in a completely different region/country to your main site location, which is usually cheaper to operate and provides better latency than localhost operations..... i.e., you can run a dev server in the US but host it in Europe, i.e., London which will result in lower latencies for your dev. Users and better prices for you as well!    AWS Cloud Computing is also known for its high-security level and highly Integrated Distributed Archit...
Read more