AWS Auto Scaling vs. InterSystems Ensemble (legacy product)

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.

• Best suited for fast development with a fundamental emphasis on object orientation
• Prohibitive costs for very small integration projects

• 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

• Easy to use: The simplicity of its programming language allows fast learning. Visual environment to generate complex code.
• Robust: A fall of the system will not be a problem. Never again will information of the transactions in progress be lost. Never more messages lost.
• Connect to the world: The most popular connection is possible to implement quickly. FTP, File folder, TCP, SMPT, REST.... all method are ready to use. Only define "where" and "how"

Incentivized

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

Incentivized

• Given that Ensemble and Cache are one of if not the only true fully object orientated database/development technologies for massive transactional data systems its customizability is extensive and it just comes down to the creativity of the developer to get the products to pretty much do whatever they want to do with it. However, this is not necessarily obvious to newcomers to the technology.
• The developer community could do with greater participation from the software developers/application specialists and engineers within InterSystems.
• More extensive documentation and greater access to proven working solutions particularly in the realm of some of the lesser known or new and upcoming technologies.

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.

I have yet to raise an issue with InterSystems WRC that they have been unable to resolve to my satisfaction in the 20+ years that I have worked with their products.

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

Mirth is another integration platform that we have used but its development, in Java, made us always create new methods every time a new product was integrated. Every connection process had to be developed from the beginning and it was not easy to reuse code. Nor did it allow us to have an extensive catalog of HL7 messaging, having to perform the validation of each and every one of its fields manually.

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

• We have integrated 5 laboratories in a treatment monitoring system in less than a month of development. Being able to integrate the following in a period no longer than a week.

Incentivized