Akamai mPulse and AWS Auto Scaling compete in the tech monitoring and scalability space. AWS Auto Scaling appears to have the upper hand due to its comprehensive integration capabilities and cost-efficiency.
Features: Akamai mPulse offers real-time user monitoring, insightful analytics, and easy deployment. AWS Auto Scaling provides automatic scaling, integration with other AWS services, and resource management efficiency.
Room for Improvement: Akamai mPulse needs enhanced customization options, improved documentation, and better user experience insights. AWS Auto Scaling requires faster initialization time, simpler configuration processes, and better integration support.
Ease of Deployment and Customer Service: Akamai mPulse has an easy deployment process and responsive customer support. AWS Auto Scaling is known for seamless integration with AWS services and comprehensive customer service, providing an edge over Akamai mPulse.
Pricing and ROI: Akamai mPulse has a justified initial setup cost with good ROI from user experience insights. AWS Auto Scaling is cost-efficient and offers significant ROI from effective resource management, making it stand out for cost savings and resource optimization.
| Product | Market Share (%) |
|---|---|
| AWS Auto Scaling | 0.4% |
| Akamai mPulse | 0.6% |
| Other | 99.0% |
| Company Size | Count |
|---|---|
| Small Business | 1 |
| Large Enterprise | 6 |
| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 2 |
| Large Enterprise | 11 |
Akamai mPulse is a real user monitoring (RUM) solution that gives performance engineers, administrators, and developers the ability to effortlessly visualize website functionality issues and identify ways to improve processes that conventional testing protocols do not find. mPulse gives users usable scenarios to better understand how processes such as user interactions, visual progress, and third-party resources may be disrupting the overall user experience and application delivery.
mPulse enables users to take a deep dive into the specific performance issues and complete comprehensive error analyses, to thoroughly understand the effect on critical user interactions such as conversions, page views, and more.
mPulse gathers and delivers data on an organization's website’s performance and metrics on user web browsing experiences. The mPulse feature “Boomerang” is a JavaScript Library that monitors the website page load time. Boomerang has a unique plugin architecture and works with all websites. The Boomerang feature is embedded on each page of an organization's website.
mPulse works seamlessly with Akamai solution Ion, so the RUM data can be instantly gathered once the Luna Control Center has been activated. Ion instantly attaches Boomerang to the organization’s web properties; there is no need to change the website code.
Akamai mPulse Benefits
AWS Auto Scaling monitors your applications and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost. Using AWS Auto Scaling, it’s easy to setup application scaling for multiple resources across multiple services in minutes. The service provides a simple, powerful user interface that lets you build scaling plans for resources including Amazon EC2 instances and Spot Fleets, Amazon ECS tasks, Amazon DynamoDB tables and indexes, and Amazon Aurora Replicas. AWS Auto Scaling makes scaling simple with recommendations that allow you to optimize performance, costs, or balance between them. If you’re already using Amazon EC2 Auto Scaling to dynamically scale your Amazon EC2 instances, you can now combine it with AWS Auto Scaling to scale additional resources for other AWS services. With AWS Auto Scaling, your applications always have the right resources at the right time.
We monitor all Application Performance Monitoring (APM) and Observability reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
