Amazon EC2 Auto Scaling Reviews

Multiple entities experienced varying levels of ROI from Amazon EC2 Auto Scaling. They noted cost savings on resources and infrastructure, with some indicating over 50-55% ROI. Its value often hinges on use cases, with high load leading to better ROI. Users appreciated the automatic deployment of instances. While deemed expensive for constant use, it's suitable for startups and initial phases, with potential for further cost reduction through careful financial planning and understanding.

Amazon EC2 Auto Scaling employs a pay-as-you-go, usage-based pricing model, which varies by region and service usage. Although there are no licensing fees, enterprises incur costs based on resource use, such as RAM and processing power. Billing is typically monthly, with expenses affected by factors like workload and traffic. The pricing can range from moderate to high, often seen as competitive compared to Azure and GCP. Discount opportunities and AWS credits can mitigate costs.

• "As far back as I can remember, I have experience with two types of subscriptions. The first was my personal AWS base, and the second was a corporate license. I can't say much about the corporate license, but I recall they sent the bill every month for the personal subscription, though I could be mistaken."
• "Amazon EC2 instances can be very expensive."
• "The solution's licensing is based on a pay-as-you-go model. You only pay for the resources you use, whether it's RAM, processing power, or storage. So, it's calculated based on the time you use those resources, typically billed in hours or minutes."

Organizations use Amazon EC2 Auto Scaling primarily for managing workloads by dynamically adjusting compute resources. It helps run applications and services, efficiently handling high demand or heavy traffic. Companies use it to increase CPU and memory sizes on demand, ensuring cost-effectiveness and maintaining application availability. Additionally, they employ it for virtualization, cloud development, and seamlessly scaling for production environments, making it an effective tool for capacity management and infrastructure scaling.

Amazon EC2 Auto Scaling's customer service is commonly praised for responsiveness and effectiveness. Many benefit from extensive documentation and swift replies from support teams. Challenges arise with third-party integrations, requiring better vendor collaboration. Organizations with specific support agreements report excellent interaction and swift problem resolution. Regular communication channels with Amazon representatives further enhance assistance. Support is generally rated high, with some describing it as perfect, although some never needed to seek help, relying on internal expertise.

Users found the initial setup of Amazon EC2 Auto Scaling mostly straightforward, with installation times ranging from a few minutes to several hours depending on complexity. Some mentioned needing additional configuration tools or expertise, while others highlighted AWS's helpful documentation and user-friendly interface. Auto Scaling's deployment can vary, requiring multiple team members or just one, depending on the environment. Although some found setup challenging at first, ease improved over time with familiarity.

Amazon EC2 Auto Scaling is highly adaptable, with users experiencing seamless scaling for varying user bases. Organizations leverage its capacity for both small and large-scale deployments, with configurations easily adjustable to match demand. While some users mention occasional challenges, most find the system to be flexible and cost-effective, allowing automatic adjustments and manual scaling when necessary. Its cloud-based nature provides notable flexibility and is frequently rated highly by users for its expansive capabilities.

Amazon EC2 Auto Scaling demonstrates high stability and reliability, consistently receiving ratings between eight to ten out of ten. Users report minimal downtime, efficient scaling, and excellent overall performance, though some experience region-specific issues. Despite occasional performance challenges, the infrastructure handles these effectively by dynamically creating new instances. However, critical systems requiring 99.99% or higher uptime may need additional measures due to Service Level Agreements typically guaranteeing around 97% to 98% uptime.