LOGIQ.AI Reviews & Product Details

We use LOGIQ.AI to 24x7 monitor our IT-Infrastructure from bare metal devices, the network, to our applications which are hosted on-premise . The monitoring is very stable and performant and easy of customisable . We use as well the BI features to build dependency trees to make the availability of single applications/IT-Services visible for all our users and the management. In that case we make use of the API to integrate those numbers in our Intranet and existing Management dashboards. We picked LOGIQ.AI because we liked the many integration possibilities and because it scales. Review collected by and hosted on G2.com.

Nothing is called dislike anything can be customized and sort very easily Review collected by and hosted on G2.com.

The backend of Logiq is powered by S3 storage, which has proven to be highly beneficial for our business. One of the most significant advantages of using S3 storage is its ability to reduce elastic search costs. This has helped us save a lot of money in terms of storage and processing costs. Review collected by and hosted on G2.com.

While our current system is functional, the addition of on-the-fly graph creation would greatly enhance our ability to analyze data and make informed decisions. Review collected by and hosted on G2.com.

We specialise in using computer vision to monitor operations. To create a platform that is cost-effective and widely accessible, we use readily available edge devices. These systems are often deployed in less-than-ideal settings at our customers' locations. To address this, we have developed a monitoring infrastructure that detects the status of the devices and relays this information back to our headquarters. However, this infrastructure requires significant engineering time for maintenance, support, and new feature development. In addition, we also devote substantial resources to managing the data storage and analysis of the large number of devices we have. Implementing LOGIQ.ai solutions has dramatically improved our project development cycle and allowed our engineers to focus on their expertise in vision-related tasks. Using LOGIQ.ai has enabled us to meet our financial and schedule constraints effectively. Review collected by and hosted on G2.com.

No specific negatives. There is a lot more we can do with LOGIQ, and it just takes time to understand all the additional capabilities. Review collected by and hosted on G2.com.

Logiq.ai Alerting offers several features that enables us to monitor and detect anomalies in real-time. Some of the

key features of Logiq.ai Alerting that we like includes:

1. Real-Time Alerts: Logiq.ai Alerting provides us real-time alerts for critical issues, anomalies, and events.

These alerts can be customized based on specific requirements and can be sent to multiple stakeholders

through various channels, including email, SMS, and mobile push notifications.

2. Customized Alerts: Logiq.ai Alerting allows us to set up customized alerts based on specific requirements.

We can set up alerts based on specific events, such as a sudden surge in traffic, or based on predefined

thresholds, such as the number of transactions per minute.

3. AI-Powered Anomaly Detection: Logiq.ai Alerting uses AI-powered algorithms to detect anomalies and

identify critical issues in real-time. The platform leverages machine learning and statistical analysis

techniques to analyze vast amounts of data and identify abnormal patterns and behaviors.

4. Actionable Insights: Logiq.ai Alerting provides actionable insights that helps us identify the root cause of

issues and take appropriate actions to mitigate risks. The platform provides real-time data and

visualizations that enables us to identify trends and patterns and make informed decisions.

5. Integration with Other Tools: Logiq.ai Alerting can be integrated with other tools and platforms, such as

Slack, Jira, and PagerDuty, to enable seamless collaboration and communication between our

stakeholders. Review collected by and hosted on G2.com.

It is not a dislike however one area of improvement can be that the AI-powered anomaly detection has scope to

become even more intelligent by reducing the number of alerts from dependent systems in the event of failures.

This has been given as feedback and the team at LOGIQ is working on it.

What problems is LOGIQ solving and how is that benefiting you?

1. Real-Time Monitoring: Logiq.ai Alerting provides us real-time monitoring of critical business operations,

enabling us to detect and respond to issues in real-time. This helps us minimize downtime and reduce the

risk of service disruptions.

2. Increased Efficiency: Logiq.ai Alerting helps us identify inefficiencies and bottlenecks in our operations,

enabling us to take corrective actions and improve their operational efficiency. This helps us reduce costs,

increase productivity, and improve customer satisfaction. Review collected by and hosted on G2.com.

Logiq.ai provides a solution to cover over some of the gaps in visibility by speaking the languages data understands. This opens up different possibilities from other vendors who are not able to speak this language. Customers are now able to explore many different scenarios, opening up more use cases within IT Operations and Security Operations teams. Logiq.ai gives us an opportunity to fix these coverage holes when compared with other products available on the market today; we also have time saving features through pipeline components and unified data without being bogged down by tool limitations or silos between departments.

A major advantage of Logiq.ai is that it's easy to implement. It provides data control, which can lead to cost savings for customers because they are given options. Review collected by and hosted on G2.com.

The user interface is not as mature as some other vendors. However, the role that Logiq.ai plays is not heavily reliant on a user interface for graphical reporting. It delivers exactly what it needs to without the UI. Review collected by and hosted on G2.com.

The use case we were most interested in was reducing our SIEM costs but, in evaluating Logiq.ai we discovered the breadth of the platform. From better logs management to MELT to AI/ML for correlations and remediation workflows, all with greater visibility, was the icing on the cake. Review collected by and hosted on G2.com.

No real downsides, especially since you can take the opportunity for some tool consultation with this platform. That said, the user interface is a bit young but coming along with each release. Review collected by and hosted on G2.com.

We are an AI/ML company that deploys cameras for image analysis and detection. I used LOGIQ.AI to monitor a COVID test kit assembly pipeline implementation we had done for a pharmaceutical customer. We had 6 factory lines with 5 barcode printers and 5 cameras in each line scanning the COVID kit as it moved through the pipeline to detect packaging issues like missing barcodes, missing COVID test kit components, etc. All the cameras and printers are connected over a WiFi network and we were running into challenges with WiFi signal disconnects and issues with knowing when any of our cameras were not functioning. There were numerous things to monitor including network reachability, camera, and the micro PC connected to the camera which could have memory and disk space issues. Further, on a line, if any of the 5 cameras or 5 printers ran into any issues, it would bring the whole line to a halt. Realtime alerts from LOGIQ.AI helped us quickly identify the problematic device and helped quickly bring line back into action. This was a huge time-saver for us and significantly improved the up-time of the system. The visualization from LOGIQ.AI platform to track all of the 30 cameras and 30 printers were great. We put them up on big TV screens all over the operations and they were a huge hit with the operators as they helped them cut down time and meet their daily packing targets.

We used the LOGIQ.AI SaaS and deployed Prometheus node collectors on each of the micro-PC's, LOGIQ.AI supports standard Prometheus node exporters out of the box. We also worked with the LOGIQ.AI team to set up network reachability for each of the camera/micro-PC devices using their network reachability agent. All of the telemetry was connected to a local Prometheus which was configured to push to LOGIQ.AI as a remote write target. We also set up log collection in each of these nodes using LOGIQ.AI's fluent-bit integration.

Their Prometheus compatibility is great and everything just worked with no customizations needed. We also configured alerts to let us know whenever there was a network reachability issue. The alerts were delivered on Slack/EMail. It was easy to configure those and LOGIQ.AI comes with it out of the box. We also created custom dashboards that could look at CPU/Memory/Disk usage for each of the 30 cameras and also detect network outages on the WiFi network. This helped us save a lot of time troubleshooting, as it is very slow to login to each micro-PC and check for issues as there were 60 of them.

The LOGIQ.AI team is great and very helpful in taking over any onboarding help I needed. Also, they are always on Slack so it's very easy to reach the team on any issues or questions we have. Review collected by and hosted on G2.com.

I did not dislike anything about it. The Prometheus compatibility was a great bonus in our experience as we use open source and it was easy to get everything working without getting stuck with vendor agents. That does mean supporting a few diff collectors vs a single vendor agent but freedom from proprietary collectors is worth it as we can switch to any platform if we want. LOGIQ.AI is quite open on this front and it's great they are giving us observability in a manner that we are not locked to them, even their platform. I think that's great. Review collected by and hosted on G2.com.

I used LOGIQ.AI to monitor our serverless platform deployed on Google Cloud Run. The Cloud Run integration wasn't available out of the box but we liked the platform and got the LOGIQ.AI team to turn that on for us fairly quickly. They also created a nice documentation page for it including how to collect logs from other Google services.

One of the features I liked was that with a few tags, the log data automatically gets organized into namespaces and applications. This is better than what I have seen in other platforms where complex indexing procedures are needed to keep all data together. Now I can focus on the flows I want without any extra configuration. Review collected by and hosted on G2.com.

I can't recall anything that I disliked. We presently utilize the platform on a daily basis, and thus far we haven't encountered any difficulties or issues. We chose to use their SaaS solution since it was fully managed and had no additional costs for us. Review collected by and hosted on G2.com.

I used LOGIQ.AI to monitor our serverless platform deployed on AWS. LOGIQ.AI has a good documentation site that detailed how to integrate with AWS, so it was easy to set up.

LOGIQ.AI is unique in that it offers a number of advanced features, such as Log2Metrics and real-time notification. These are generally only available in premium versions of competing services. The data fabric on LOGIQ.AI can also alter data on the fly, which we employed to safeguard sensitive information while still meeting compliance standards. Review collected by and hosted on G2.com.

LOGIQ.AI is a new platform with a lot of interesting features. I did not find anything I disliked about it. The team is easy to work with, so if I had any questions, I could go to their slack channel and ask them. Review collected by and hosted on G2.com.

LOGIQ.AI's observability data fabric made it simple to collect and store all our AWS infrastructure data. We were able to gather logs from lambda services, configure alerts on the data, connect it to slack, and stay up-to-date on all potential issues and areas of improvement.

Having used AWS CloudWatch for monitoring, we wanted a log management system that was fast, easy to use, scalable, and cost-effective. LOGIQ proved to be all that and more. After seamlessly integrating it with our data sources, LOGIQ instantly converged all of our machine data centrally, partitioned them by application, namespace, and other criteria, augmented events of interest, and made them query-ready in seconds!

Granular search and filtering, along with visualizations, made it very easy to find events of interest within logs and pinpoint root causes. The icing on the cake was the ability to configure and route alerts via Slack for events matching our criteria. The alerting system is powerful and flexible enough to create extremely granular alerts that are easy to understand and actionable. We've turned around issues in minutes flat. To me, that is the true value of LOGIQ.

The support team is readily available on slack and we got a channel for real-time resolution of problems and Q&A with the team. Review collected by and hosted on G2.com.

It’s hard to find faults in a thoughtfully created product. LOGIQ seems tailor-made to suit any modern ITOps use case - be it log management and analytics, observability, APM, or data compliance at scale. Review collected by and hosted on G2.com.