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Sophie
Predict and Prevent IT Incidents with AIOps
(3)
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Sophie has the following pricing plans:
Starting from: $1.00/month
Pricing model: Subscription
These products have better value for money
Q. Who are the typical users of Sophie?
Sophie has the following typical customers:
Large Enterprises, Mid Size Business, Public Administrations, Small Business
Q. What languages does Sophie support?
Sophie supports the following languages:
English, Japanese
Q. Does Sophie offer an API?
No, Sophie does not have an API available.
Q. What other apps does Sophie integrate with?
Sophie integrates with the following applications:
Jira, Microsoft Azure, Amazon EC2, Slack, PagerDuty
Q. What level of support does Sophie offer?
Sophie offers the following support options:
Knowledge Base, FAQs/Forum, 24/7 (Live rep), Email/Help Desk, Chat, Phone Support
Loom Systems AIOps solution predicts and prevents IT incidents in enterprises undergoing a digital transformation or cloud migration. Loom Systems is the only AIOps solution to predict IT issues before they impact customers, and enrich alerts with insights and resolutions in plain English. This not only keeps operations running smoothly and improves business productivity, but also alleviates the tedium of reading logs and frees up time for operations to concentrate on higher-value IT tasks.
Typical customers
Platforms supported
Support options
Training options
Starting from
1
Per month
Per Feature
Starting from
7.20
/user
Per month
Value for money
5.0
/5
7
Starting from
1
Per month
Per Feature
Value for money contenders
Overall Rating
4.7
/5
7
Positive reviews
100
%
daniel U.
11-50 employees
Used daily for 6-12 months
Review source
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I had dozens of logs which hadn't been analyzed at all. we picked loom to analyze this data automatically, with allocating as the least IT pros as possible. Loom proactively detects issues and then provides the user with the necessary inputs to solve the issue.
Our logs are home-grown and Loom is the only product we found that is capable of analyzing them in their original format. Any other product in the market would require us to rewrite them first.
My team had been working with manual tools for 10+ years and it took us some time to get used to having and counting on an automatic system
Yaron P.
Review source
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We use Loom to monitor our OpenStack environment. first, we were skeptical of using the logs to detect issues, and not only for debugging, but, our experience with Loom was just excellent. it manages to analyze logs and metrics in real-time, correlate events across different services, and perform root cause analysis easily, a very short time after implementation.
No pros were added to this review
No cons were added to this review
Celize A.
Retail, 1-10 employees
Used daily for less than 6 months
Review source
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Loom brings a simple and integrated solution directly to your browser. It both helps me to bring training, information and assessments to my clients. I love making videos
An extension for Chrome that simplifies (a lot) the process of producing videos and registering your screen.
I haven't found a negative part yet to talk about Loom, I believe that in the course of my use I won't find it.
Shahar B.
Review source
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I started using Loom recently over splunk, essentially as an AI layer above the data to help my team perform the actual analysis. so far, it seems very promising and it helped us solve problems short time after occuring and not only after a user opens a ticket.
Automatic Log Correlation Recommends resolutions
No cons were added to this review
Bob F.
Review source
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we used loom for log management in order to become more proactive and reduce the number of problems that were customer-reported in the organization. our 'proactiveness' keeps improving from month to month so far.
-advanced correlation between apps -suggests next actions for issues
No cons were added to this review