81% SW Score The SW Score ranks the products within a particular category on a variety of parameters, to provide a definite ranking system. Read more
Introducing the new AIOps Dashboard
78.3%
17.4%
4.3%
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Fast and pain-free setup, great dashboard and reporting capabilities, deep insight into the operational metrics of both software systems and infrastructure.
Navigation could use some rethinking. The new user interface they're currently working on seems to be much better though. Also, even though AIMS provides some basic support for event logs, there is a lot that could be done with it further to turn this into the ultimate diagnostics tool.
Deep insights and detecting behavioral patterns that help us optimize our IT operations.
Early notifications of problems to help us with proactive monitoring.
Easy to use and intuitive user interface.
Excellent dashboards that provide a good overview, and you can create custom analytics/reports if you need to dive into the details.
Great customer service!
The event module with anomaly reporting presents a large amount of data. It can be challenging to identify what is the most relevant.
Very effective tool for troubleshooting.
Enables proactive IT operations.
Optimization, tuning and capacity planning based on historical data, resource usage and trends over time.
Easy to connect data sources, intuitive dashboards that surface important insights, fast support, and smooth onboarding.
No major comments here, maybe the UI could be better, but Aims is working on it.
Identifying anomalies in our systems, monitoring the performance of our tech stack, understanding application dependencies.
Quick setup, almost zero maintenance required, customer support is amazing.
Do not have any specific points here, we are pretty happy with AIMs
Aims helped us to reduce time to troubleshoot, eliminate significant manual work and avoid alert storms.
Aims is an impressive tool for monitoring an environment.
Easy to get a quick overview of anomalies and statistics. Delivered with predefined dashboard and easy to create customized dashboards.
Installation takes only minutes and immediately harvests data for analysis and statistics.
Aims have agents for several different platforms such as Windows Server, SQL Server, BizTalk, etc.
Good support.
I have no particular negative details to report.
Aims contribute to identifying problems faster and finding root-cause for issues in production environments.
Quickly configure BizTalk transaction reports, Easy to get host wise transaction count, Dashboard feature, Customer support.
Provide an option to export reports in xlsx, Time zone update at runtime, Import/Export option for creating a report.
It helped during capacity planning, Identifying load patterns in a specific period, Effective during troubleshooting errors.
The AI engine automatically handles anomalies.
The UX could be better but they are improving.
manual monitoring has been a challenge internally, now everything is handled by AIMS
How fast and easy it is to start using it and how little maintenance is required.
It records everything. Sometimes it's hard to pick out what you want to know.
Maybe a bit more expensive, but it requires a lot less human resources to set up, use and maintain.
Performance problems, Network problems, bottlenecks...
Error patterns help in areas of focus, Message Transactions, and Volume Payload Matrices helps in capacity planning
It's fulfilling our requirements of Analytics and capacity planning with load matrices.
AIMS is a fantastic tool to track errors use analytics to troubleshoot environment and Capacity planning. We get great support from AIMS for any issues and recommendations to maintain BizTalk health.
Capacity planning and identifying issues creating lots of failures-Noise
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AIMS gives processing matrices - transactions and volume count without adding overhead on the BizTalk Platform, a key feature considering the very high number of transactions.
Customer support is fantastic!
I am not able to find one reason to dislike AIMS.
Help identify which service/s are causing performance issues by providing load patterns against the previous timeline - day, a week, a month, and a year before.
Anomalies detection helps in identifying - services contributing instability of the platform.