Aurea Process vs. AWS Auto Scaling

The tool has potential. Its capabilities and visual aspects could be considered rather basic but this might improve, particularly if the business intelligence/analytics aspect is leveraged. Once running well, it could allow (perhaps smaller) companies to successfully improve their customers' experiences through digitalizing customer journey - and we all know that customer loyalty goes a long way. However, whether or not the tool is comprehensive enough to deliver this for larger companies with more complex, multi- and omni-channel interactions is yet to be seen...

Incentivized

It is well suited for scaling up our cloud virtual machines to handle the increase or decrease in workload. It really helps us to satisfy the demand because it doesn't take lot of time to spin up new machines. If there is unpredictability in the demand it is very useful. But it is a over kill if demand is consistent.

• Face-lifted platforms: CX Messenger (formerly Sonic), CX Monitor (formerly Actional), CX Process (formerly Savvion)
• User-friendly UI
• Relatively painless implementation

Incentivized

• Set policies to add more instances when CPU utilization exceeds.
• Prevents downtime, as we don't need to stop the servers.
• Auto Scaling group can be setup for different types of apps.

Incentivized

• Standard edition is significantly lighter touch than the (pricier) Enterprise version
• There are similar solutions on the market that are competitively prices and offer positive user experience
• Data migration can be tricky at times

Incentivized

• Update code and configuration when the number of servers is always changing
• How will user-uploaded content make it to new servers

Incentivized

We use AWS auto scaling for scaling up our cloud virtual machines to handle the increase or decrease in workload. It really helps us to satisfy the demand because it doesn't take lot of time to spin up new machines. I gave the rating 10 because it really does help you to handle the sudden spike in number of requests.

Used for the below reasons:

• Easy to implement and use
• Pay per use, cost savings
• Automate and build scaling plans
• Automate performance and workload

Incentivized

• As our customers vary in size and maturity, the ROI ranges accordingly.
• For younger, smaller businesses this is a useful tool. Digitalization of he customer journey has certainly helped save time and efforts in many cases.
• For more mature market players the tool is not always comprehensive enough. Dashboard and report personalization take time and efforts, and sometimes it feels that a dedicated BI tool would be a more suitable solution.

Incentivized

• optimized the cost effectiveness
• save lot of money which help the organization to use it in effective areas
• Not applicable for all use cases.It is specific use cases and business problems