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AWS Elastic Load Balancing VS Control-M for Mainframe

Compare AWS Elastic Load Balancing VS Control-M for Mainframe and see what are their differences

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AWS Elastic Load Balancing logo AWS Elastic Load Balancing

Amazon ELB automatically distributes incoming application traffic across multiple Amazon EC2 instances in the cloud.

Control-M for Mainframe logo Control-M for Mainframe

BMC helps customers run and reinvent their businesses with open, scalable, and modular solutions to complex IT problems.
  • AWS Elastic Load Balancing Landing page
    Landing page //
    2023-04-27
  • Control-M for Mainframe Landing page
    Landing page //
    2023-10-07

AWS Elastic Load Balancing features and specs

  • Scalability
    AWS Elastic Load Balancing can automatically distribute incoming application traffic across multiple targets, such as Amazon EC2 instances, containers, and IP addresses, promoting application elasticity.
  • Health Monitoring
    It continually checks the health of the registered targets, ensuring that traffic is routed only to healthy instances.
  • Security
    Integrated with AWS's Certificate Manager and Application Load Balancer, allowing easy deployment of SSL/TLS for secure communication.
  • Flexibility
    Supports various types of load balancers: Application, Network, and Classic, each suited to different types of application architectures and requirements.
  • Cost-effective
    Pay-as-you-go pricing model ensures you only pay for the resources you use, which can lead to cost savings compared to a fixed-cost solution.
  • Integration
    Seamlessly integrates with other AWS services such as Auto Scaling, Route 53, CloudWatch, and more for a more robust solution.

Possible disadvantages of AWS Elastic Load Balancing

  • Complexity
    Initial setup and configuration can be complex, especially for users unfamiliar with AWS services and cloud architecture.
  • Cost
    While the pay-as-you-go model is cost-effective, the charges can ramp up quickly, especially for high-traffic applications.
  • Dependence on AWS Ecosystem
    Highly integrated with AWS services, making it less ideal for multi-cloud or hybrid cloud environments.
  • Latency
    In some cases, the load balancer can introduce a slight increase in latency, which might be a concern for latency-sensitive applications.
  • Configuration Limitations
    Some specific configurations and customizations may not be possible, leading to constraints on certain types of applications.

Control-M for Mainframe features and specs

  • Comprehensive Job Scheduling
    Control-M for Mainframe offers a versatile and comprehensive job scheduling capability, enabling users to manage and automate complex workflows across various systems and applications, enhancing efficiency.
  • Cross-Platform Integration
    The solution integrates seamlessly with other platforms and applications, facilitating a unified workflow management system that spans multiple environments, which is crucial for enterprises with diverse IT infrastructures.
  • Advanced Automation Features
    Control-M provides advanced automation features that reduce manual intervention, minimize errors, and optimize job processing, which improves overall system performance and reliability.
  • Enhanced Monitoring and Reporting
    The tool offers robust monitoring and reporting capabilities, allowing users to easily track job statuses, receive alerts on failures, and generate reports, which aids in making informed decisions quickly.
  • Scalability
    Control-M is designed to scale according to business needs, accommodating growing workloads and more complex job streams as the organization's requirements evolve.

Possible disadvantages of Control-M for Mainframe

  • Complexity
    The advanced features and extensive capabilities of Control-M can introduce a level of complexity that may require specialized training and a steep learning curve for new users.
  • Cost
    Control-M is a premium tool, and its comprehensive features can come with a high cost, which may be a consideration for smaller organizations with limited budgets.
  • Dependency on Mainframe Expertise
    Operating Control-M on mainframes typically requires specialized knowledge and expertise in mainframe systems, which can be a constraint if such resources are not readily available.
  • Integration Challenges with Legacy Systems
    While Control-M supports integration with various platforms, there may be challenges when integrating with older legacy systems, which might require additional effort and customization.
  • Resource Intensive
    The software can be resource-intensive, requiring adequate system resources for optimal performance, which might necessitate additional investments in hardware or infrastructure upgrades.

Analysis of AWS Elastic Load Balancing

Overall verdict

  • AWS Elastic Load Balancing is generally considered a good choice for managing traffic distribution in cloud-based applications. Its integration with other AWS services, reliability, and ability to handle varying workloads make it a strong contender for enterprises leveraging Amazon Web Services.

Why this product is good

  • AWS Elastic Load Balancing (ELB) is widely regarded as effective because it provides automated distribution of incoming application or network traffic across multiple targets, such as Amazon EC2 instances, containers, and IP addresses. This helps improve the availability and fault tolerance of applications. ELB supports dynamic scaling, which means it can automatically adjust to handle spikes in traffic. Additionally, it is integrated with AWS services, providing a seamless experience for users already within the AWS ecosystem.

Recommended for

    AWS Elastic Load Balancing is recommended for businesses and developers who are operating in the AWS ecosystem and require reliable load balancing solutions for their applications. It's especially beneficial for those needing to manage traffic across multiple applications and services, and for organizations looking for scalability and integration with AWS tools.

Category Popularity

0-100% (relative to AWS Elastic Load Balancing and Control-M for Mainframe)

AWS Elastic Load Balancing

Control-M for Mainframe

Web Servers
87 87%
Web Servers
13% 13
Web And Application Servers
82 82%
Web And Application Servers
18% 18
Load Balancer / Reverse Proxy
75 75%
Load Balancer / Reverse Proxy
25% 25
Network & Admin
92 92%
Network & Admin
8% 8

User comments

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Social recommendations and mentions

Based on our record, AWS Elastic Load Balancing seems to be more popular. It has been mentiond 25 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

AWS Elastic Load Balancing mentions (25)

  • Basic AWS Elastic Load Balancer Setup
    Load balancers can be categorized to different types depending on their use cases. On a broader classification, we can divide load balancers into three different categories based on how they are deployed. 1. Hardware load balancers - Dedicated physical appliances designed for high-performance traffic distribution. They are often used by large scale enterprises and data centers that require minimum latency and... - Source: dev.to / 7 months ago
  • Work Stealing: Load-balancing for compute-heavy tasks
    When a backend starts or stops, something needs to update, whether it’s Consul, kube-proxy, ELB, or otherwise. To stop a worker without incurring failures, you need to prevent the load balancer from sending new requests and then finishing existing ones. - Source: dev.to / 11 months ago
  • Load Balancers in AWS
    In this way, you can create a load balancer and custom rules using AWS Elastic Load Balancer. You can refer the official user guide to learn more about load balancing in AWS. - Source: dev.to / 11 months ago
  • A Ride Through Optimising Legacy Spring Boot Services For High Throughput
    Use load balancers and distribute load accordingly to your redundant spring boot services. - Source: dev.to / about 1 year ago
  • DevSecOps with AWS- Ephemeral Environments – Creating test Environments On-Demand - Part 1
    • Amazon Elastic Container Service (Amazon ECS) is a fully managed container orchestration service that helps you easily deploy, manage, and scale containerized applications. • AWS Fargate is a serverless, pay-as-you-go compute engine that lets you focus on building applications without managing servers. AWS Fargate is compatible with both Amazon Elastic Container Service (Amazon ECS) and Amazon Elastic... - Source: dev.to / over 1 year ago
View more

Control-M for Mainframe mentions (0)

We have not tracked any mentions of Control-M for Mainframe yet. Tracking of Control-M for Mainframe recommendations started around Mar 2021.

What are some alternatives?

When comparing AWS Elastic Load Balancing and Control-M for Mainframe, you can also consider the following products

nginx - A high performance free open source web server powering busiest sites on the Internet.

Traefik - Load Balancer / Reverse Proxy

Google Cloud Load Balancing - Google Cloud Load Balancer enables users to scale their applications on Google Compute Engine.

Azure Traffic Manager - Microsoft Azure Traffic Manager allows you to control the distribution of user traffic for service endpoints in different datacenters.

Charles Proxy - HTTP proxy / HTTP monitor / Reverse Proxy

Citrix NetScaler - Citrix ADC is an industry-leading application delivery controller, L4-7 load balancer, and GSLB that ensures 100% uptime and unmatched security across devices and locations.

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