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  5. AWS Elastic Load Balancing (ELB) vs Atlas

AWS Elastic Load Balancing (ELB) vs Atlas

OverviewComparisonAlternatives

Overview

Atlas
Atlas
Stacks33
Followers125
Votes0
AWS Elastic Load Balancing (ELB)
AWS Elastic Load Balancing (ELB)
Stacks12.8K
Followers8.8K
Votes59

AWS Elastic Load Balancing (ELB) vs Atlas: What are the differences?

# Introduction

AWS Elastic Load Balancing (ELB) and Atlas are both tools for managing and distributing incoming network traffic. However, they have key differences that distinguish their functionalities and use cases.

# 1. Scalability:
AWS ELB is designed to automatically scale based on incoming traffic demands, allowing for efficient load distribution across multiple instances. In contrast, Atlas primarily focuses on managing MongoDB instances and does not offer the same level of scalability features as ELB.

# 2. Supported Protocols:
AWS ELB supports a wide range of protocols such as HTTP, HTTPS, TCP, and SSL, providing flexibility for different types of applications. On the other hand, Atlas is specifically tailored for MongoDB instances and may not support as many protocols as ELB.

# 3. Integrated Monitoring and Management:
AWS ELB offers integrated monitoring and management tools through AWS CloudWatch, allowing users to keep track of load balancer performance and make necessary adjustments. In comparison, Atlas provides monitoring and management specifically for MongoDB instances, with a focus on database-related metrics.

# 4. Cost Structure:
While both AWS ELB and Atlas have cost structures based on usage, ELB's pricing model may include additional charges for certain features or resources. Atlas, on the other hand, offers a more straightforward pricing structure tailored to MongoDB instances.

# 5. Auto Scaling Integration:
AWS ELB seamlessly integrates with AWS Auto Scaling, allowing for dynamic resource allocation based on demand. In contrast, Atlas does not have the same level of integration with auto scaling services, focusing more on the management of MongoDB instances.

# 6. Security Features:
AWS ELB offers a range of security features such as SSL termination, protection against DDoS attacks, and network access control. While Atlas provides security features specific to MongoDB instances, it may not offer the same level of comprehensive security functionalities as ELB.

In Summary, AWS Elastic Load Balancing (ELB) and Atlas differ in scalability, supported protocols, monitoring and management tools, cost structure, auto scaling integration, and security features.

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Detailed Comparison

Atlas
Atlas
AWS Elastic Load Balancing (ELB)
AWS Elastic Load Balancing (ELB)

Atlas is one foundation to manage and provide visibility to your servers, containers, VMs, configuration management, service discovery, and additional operations services.

With Elastic Load Balancing, you can add and remove EC2 instances as your needs change without disrupting the overall flow of information. If one EC2 instance fails, Elastic Load Balancing automatically reroutes the traffic to the remaining running EC2 instances. If the failed EC2 instance is restored, Elastic Load Balancing restores the traffic to that instance. Elastic Load Balancing offers clients a single point of contact, and it can also serve as the first line of defense against attacks on your network. You can offload the work of encryption and decryption to Elastic Load Balancing, so your servers can focus on their main task.

One command to develop any application: vagrant up;One command to deploy any application: vagrant push
Distribution of requests to Amazon EC2 instances (servers) in multiple Availability Zones so that the risk of overloading one single instance is minimized. And if an entire Availability Zone goes offline, Elastic Load Balancing routes traffic to instances in other Availability Zones.;Continuous monitoring of the health of Amazon EC2 instances registered with the load balancer so that requests are sent only to the healthy instances. If an instance becomes unhealthy, Elastic Load Balancing stops sending traffic to that instance and spreads the load across the remaining healthy instances.;Support for end-to-end traffic encryption on those networks that use secure (HTTPS/SSL) connections.;The ability to take over the encryption and decryption work from the Amazon EC2 instances, and manage it centrally on the load balancer.;Support for the sticky session feature, which is the ability to "stick" user sessions to specific Amazon EC2 instances.;Association of the load balancer with your domain name. Because the load balancer is the only computer that is exposed to the Internet, you don’t have to create and manage public domain names for the instances that the load balancer manages. You can point the instance's domain records at the load balancer instead and scale as needed (either adding or removing capacity) without having to update the records with each scaling activity.;When used in an Amazon Virtual Private Cloud (Amazon VPC), support for creation and management of security groups associated with your load balancer to provide additional networking and security options.;Supports use of both the Internet Protocol version 4 (IPv4) and Internet Protocol version 6 (IPv6).
Statistics
Stacks
33
Stacks
12.8K
Followers
125
Followers
8.8K
Votes
0
Votes
59
Pros & Cons
No community feedback yet
Pros
  • 48
    Easy
  • 8
    ASG integration
  • 2
    Reliability
  • 1
    Coding
  • 0
    SSL offloading
Integrations
No integrations available
Amazon EC2
Amazon EC2

What are some alternatives to Atlas, AWS Elastic Load Balancing (ELB)?

HAProxy

HAProxy

HAProxy (High Availability Proxy) is a free, very fast and reliable solution offering high availability, load balancing, and proxying for TCP and HTTP-based applications.

Traefik

Traefik

A modern HTTP reverse proxy and load balancer that makes deploying microservices easy. Traefik integrates with your existing infrastructure components and configures itself automatically and dynamically.

AWS CloudFormation

AWS CloudFormation

You can use AWS CloudFormation’s sample templates or create your own templates to describe the AWS resources, and any associated dependencies or runtime parameters, required to run your application. You don’t need to figure out the order in which AWS services need to be provisioned or the subtleties of how to make those dependencies work.

Packer

Packer

Packer automates the creation of any type of machine image. It embraces modern configuration management by encouraging you to use automated scripts to install and configure the software within your Packer-made images.

Scalr

Scalr

Scalr is a remote state & operations backend for Terraform with access controls, policy as code, and many quality of life features.

Pulumi

Pulumi

Pulumi is a cloud development platform that makes creating cloud programs easy and productive. Skip the YAML and just write code. Pulumi is multi-language, multi-cloud and fully extensible in both its engine and ecosystem of packages.

Fly

Fly

Deploy apps through our global load balancer with minimal shenanigans. All Fly-enabled applications get free SSL certificates, accept traffic through our global network of datacenters, and encrypt all traffic from visitors through to application servers.

Azure Resource Manager

Azure Resource Manager

It is the deployment and management service for Azure. It provides a management layer that enables you to create, update, and delete resources in your Azure subscription. You use management features, like access control, locks, and tags, to secure and organize your resources after deployment.

Envoy

Envoy

Originally built at Lyft, Envoy is a high performance C++ distributed proxy designed for single services and applications, as well as a communication bus and “universal data plane” designed for large microservice “service mesh” architectures.

Habitat

Habitat

Habitat is a new approach to automation that focuses on the application instead of the infrastructure it runs on. With Habitat, the apps you build, deploy, and manage behave consistently in any runtime — metal, VMs, containers, and PaaS. You'll spend less time on the environment and more time building features.

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