Microsoft Azure Application Gateway and Amazon Elastic Load Balancing are competitive cloud-based load balancing services. Microsoft Azure Application Gateway appears to have an advantage in pricing and customer service, while Amazon Elastic Load Balancing is stronger in features and integration capabilities.
Features: Microsoft Azure Application Gateway provides URL-based routing, SSL termination, and Web Application Firewall, focusing on application layer functionalities. Amazon Elastic Load Balancing offers automatic scaling, AWS service integration, and layer 4 capabilities, providing versatility across network layers.
Room for Improvement: Microsoft Azure Application Gateway could enhance its feature diversification and integration capabilities with third-party services. Its setup process might also benefit from simplification. User interface improvements are also an area to explore. Amazon Elastic Load Balancing could improve customer support responsiveness, reduce documentation complexity for novice users, and introduce more application layer features to match competitive offerings.
Ease of Deployment and Customer Service: Amazon Elastic Load Balancing is noted for its straightforward deployment and seamless integration with AWS environments, complemented by comprehensive documentation. Microsoft Azure Application Gateway also provides an excellent deployment experience, with superior customer support adding significant value to long-term operations.
Pricing and ROI: Microsoft Azure Application Gateway generally offers more affordable setup costs and quicker ROI for businesses focused on application-heavy workloads, emphasizing cost efficiency. Amazon Elastic Load Balancing, while potentially higher in initial cost, offers a robust ROI through its comprehensive feature set and scalability, justifying the investment for extensive operational scenarios.
Amazon Elastic Load Balancing requires minimal personnel for handling, which contributes to organizational value either in terms of cost savings or efficiency.
Elastic Load Balancing is a part of a total solution package.
Microsoft Azure Application Gateway significantly impacts our cost savings while maintaining higher performance.
We have seen a return on investment in terms of time-saving and cost-saving by not creating our own infrastructure.
The support team has architects available.
The technical support is very responsive due to the prime-level support package.
I would rate Amazon's technical support a nine out of ten.
There is room for improvement, specifically in paid support, by providing more direct contact.
I would rate Microsoft support as good because they have a very skilled technical support team in the background
It automatically scales up or down based on the quantity of requests, optimizing cost while efficiently managing varying workloads.
Managing traffic load is efficient as Auto Scaling Group can easily be connected with ALB based on the number of requests.
Microsoft Azure Application Gateway is a very scalable product.
Microsoft Azure Application Gateway is a scalable solution.
It is a stable and reliable service of AWS.
The stability is good, and except for a few instances, I don't see the non-availability of Azure Cloud services.
Improvements could involve making Amazon Elastic Load Balancing a global service, as currently, it is region-specific.
The ability to directly block specific IP addresses without additional service integration would be beneficial.
For example, in India, we have just two regions at the moment, which impacts latency.
There is room for improvement in terms of support, such as assigning agents directly for more straightforward engagement.
In future releases of Microsoft Azure Application Gateway, I would like to see more AI functionalities and a better dashboard as well as some customizations.
Microsoft Azure Application Gateway has room for improvement because it offers many features, but its configuration is a bit difficult, at least from the developer point of view.
Using ALB incurs a cost as opposed to the free open-source solutions like NGINX or HAProxy.
Pricing is okay, and Amazon has plans to reduce prices further.
Azure solutions are quite expensive.
When it comes to pricing for Microsoft Azure Application Gateway, I would rate it a seven out of ten.
Deploy our solution in multiple availability zones, it ensures that the system is always available and does not go down.
It is the de facto standard for AWS workloads and supports the AWS ecosystem seamlessly.
The Application Load Balancer is noteworthy due to session persistence, traffic distribution, and integration with auto-scaling, which helps manage server scaling automatically based on demand.
The Web Application Firewall (WAF) in Microsoft Azure Application Gateway has been very effective in protecting applications from security threats.
We are using it for some of the security features for our applications, particularly for securing traffic in transit with SSL.
Auto-scaling is important because it helps in resource management for customers.
Product | Market Share (%) |
---|---|
Microsoft Azure Application Gateway | 7.4% |
Amazon Elastic Load Balancing | 1.5% |
Other | 91.1% |
Company Size | Count |
---|---|
Small Business | 14 |
Midsize Enterprise | 5 |
Large Enterprise | 5 |
Company Size | Count |
---|---|
Small Business | 22 |
Midsize Enterprise | 6 |
Large Enterprise | 23 |
Elastic Load Balancing automatically distributes incoming application traffic across multiple targets, such as Amazon EC2 instances, containers, IP addresses, and Lambda functions. It can handle the varying load of your application traffic in a single Availability Zone or across multiple Availability Zones. Elastic Load Balancing offers three types of load balancers that all feature the high availability, automatic scaling, and robust security necessary to make your applications fault tolerant.
Azure Application Gateway is a web traffic load balancer that enables you to manage traffic to your web applications. Traditional load balancers operate at the transport layer (OSI layer 4 - TCP and UDP) and route traffic based on source IP address and port, to a destination IP address and port.
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