CloudFabrix Reviews

New Feature and performance and Less Cost.

Interexchange communication and performance

Slow ness

Functionality, usage approach, bots availability. Easy to build pipelines without complex codes. Although it may not have the necessary bot (connector), making the required code to achieve it is effortless.

It's been very interesting and useful. The fact that in one environment you have all the necessary tools to build comprehensive data pipelines and workflows. Doing all this with python can be more complex.

I'd like that the client interface be m oew like an mobile or tablet app. Sometimes it is necessary to refresh the page.

Building comprehensive data pipelines and workflows offers an integrated view of data from different applications and systems management tools. The solution helps us to reduce the time to develop and implement the solutions and services that our customers demand.

The Couldfabrix RDA software utilizes low code. The software makes it very easy to build data pipelines without writing too much of code, and many complicated tasks can be done in one to three lines of code with the RDA software. This saves a lot of time when working on big projects as there are now fewer lines of code while the same intended output is produced. I used the RDA software to work on advanced data science related research projects, such as working on projects that involved NLP, times series regression and classification.

It's not necessarily a use case for CloudFabrix customers, but I would like to see more data bots related to neural networks, CNN/RNN and other transformer models.

Cloudfabrix platform is making it easy to build data pipelines that solve complex real-world problems without really having data science skills and programming expertise so that you any IT professional, easily can adopt this technology

We've evaluated a bunch of products for AIOps and CloudFabrix is definitely hands-down the best product in the market. We really like the RDAF framework, Log Intelligence, and Asset Intelligence offerings.

Basic users have a good understanding of the product features and capabilities, however enhancements to the cookbooks and self-help training material would helpful for advanced users.

CFX is helping us automate and predict operations and allowing us to identify root causes for some of the complex incidents quickly. Outcomes include predicting our outages and improved customer experience.

Enabling the enterprise to achieve the infrastructure to be proactive rather than reactive after the incident. Also, providing insights into highly affected areas that can be optimized in the future by providing the relevant data points.

One of the most anticipated features is the UI-based low-code platform, which is currently being released. This will make CloudFabrix easy to use and quickly adopted from an end-user perspective.

We are currently utilizing CloudFabrix as a discovery tool for the CMDB and also used to create automation on infrastructure based on the incidents. Also, enabled to achieve the enterprise to be fault-resistant.

CloudFabrix's ability to bring insights from multiple IT assets across the IT infrastructure is good, especially in generating Service Mapping and Dependency Mapping, even without the CMDB. It has capabilities to support on-prem, hybrid & multi-cloud environments.

While it has all the capabilities and visibility but if the interface can be improved & make it more user-friendly.

Initially, the traditional monitoring approaches we used to take were typically reactive in nature. They relied on alerts from monitoring tools about breaches related to our performance data. This was problematic for us as we were looking for something that prevented issues rather than just reacting to them. CloudFabrix has provided us with just that; the Stack Watch helped us define our technology stack and even provided us with a few recommended ones. The reliability of a stack with predictive/ proactive insights has guided us to a solution.

CloudFabrix solution connects to QRadar easily, collects logs from sources directly using standard log forwarders, and performs data reduction by sending only relevant logs to the SIEM tool, which leads to significant savings on license usage. If we have to store all the log data for compliance purposes, CloudFabrix has a solution for that as well in the name of Log Replay. The solution archives all the log data, sends it to the S3 bucket and replays full logs to SIEM on demand.

Not many disadvantages, but one thing which I can point out is while many developers prefer hands-on Jupyter Notebook/CLI, some people still prefer a more intuitive UI which CloudFabrix needs to improve.

CloudFabrix's log data reduction and aggregation help us reduce QRadar costs by up to 40%. It also supports customizing the data pipelines on the fly, which allows us to scale as per our requirements.

The Alert & Event Correlation capabilities are highly effective as the tool reduced almost 70% of the events generated from our observability stack using their built-in AI & ML models.

As the tool uses AI & ML, there are instances where the tool's prediction & resolution are not accurate, but the results improved over time as the system learns with more data

Earlier, we could only retain data for two weeks due to high licensing and storage costs, affecting our trend and predictive analysis. With the help of CloudFabrix, we can analyze the data continuously and consistently. Critical KPIs were measured and retained for a more extended period allowing us to conduct our analysis without any issues.

Provides scientific techniques to improve SRE capabilities while working in conjunction with monitoring tools & observability to meet a critical goal of keeping our IT Applications & Infrastructure up & running with zero/minimal downtime.

Prediction precision for huge operational data might need further brainstorming.

Ability to aggregate key attributes from log and quickly differentiate & gain visibility into super critical errors vs possible critical 

Multi-dimensional analysis to provide deeper insights & feedback on key Application metrics  to Dev/DevOps teams

Incremental accuracy with detailed insights on key attributes i.e., volumes/response times/errors/infrastructure failures

Dynamic Alerting – through constant statistical analysis of machine data

The ease of setting up AIops with one of our partner companies was when I realized how proficient and professionally sound are the staff of Cloudfabrix.

There is nothing that I disliked. The service was pretty good, and I liked how the staff explained things quickly.

I had the privilege to use the AIops services in one of my partner company which allowed seamless integration of the softwares.