LOGIQ.AI Full-Stack Observability Data Fabric

What do you like best about the product?

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.

What do you dislike about the product?

Nothing is called dislike anything can be customized and sort very easily

What problems is the product solving and how is that benefiting you?

Improved Data Insights: LOGIQ.AI's AI algorithms can uncover patterns, trends, and correlations in data that may not be easily identifiable manually. This enables organizations to gain deeper insights and make data-driven decisions.
Data Complexity: Many organizations struggle with the increasing volume, variety, and velocity of data. LOGIQ.AI offers tools and technologies to simplify data management and provide actionable insights.
Data Silos: Data is often scattered across different systems and departments within an organization, making it difficult to access and integrate. LOGIQ.AI enables data integration and consolidation, allowing businesses to leverage data more effectively.

What do you like best about the product?

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.

What do you dislike about the product?

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.

What problems is the product solving and how is that benefiting you?

Being in fintech, we are required to keep 3 years of logs due to compliance reasons, and Logiq using S3 provides an effective solution for this. By applying lifecycle policies to our S3 storage, we are able to store logs for the required duration while reducing storage costs significantly. Overall, the decision to use Logiq has been a wise choice for our fintech business.

While there were some initial challenges, we are now very satisfied with the platform's stability and reliability, and it has become an integral part of our business operations.

What do you like best about the product?

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.

What do you dislike about the product?

No specific negatives. There is a lot more we can do with LOGIQ, and it just takes time to understand all the additional capabilities.

What problems is the product solving and how is that benefiting you?

LOGIQ.AI solves two of the problems we had with monitoring our IoT devices.

Metrics Data Collection and Management: collecting and managing data from multiple devices and protocols, making it easier for us to monitor and analyze IoT data, identify trends, and detect anomalies.

Predictive Maintenance: LOGIQ can help predict when maintenance is required, reducing downtime, preventing costly repairs, and extending the lifespan of IoT devices.

What do you like best about the product?

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.

What do you dislike about the product?

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.

What problems is the product solving and how is that benefiting you?

LOGIQ.AI is a First-mile Observability Data fabric that helps users COLLECT, STORE, CONTROL, OPTIMIZE and ROUTE observability data on-demand. The LOGIQ.AI platform with an attached infinite data reservoir, that provides indexed search and both sequential, random access to data streams.

What do you like best about the product?

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.

What do you dislike about the product?

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.

What problems is the product solving and how is that benefiting you?

Logiq.ai offers you a full-stack observability platform at a fraction of the cost of other platforms. As mentioned, we started out seeking to cut SIEM licencing costs (saving on data ingest). Still, we discovered many other benefits including applying AI/ML to all data and distribution of data to relevant teams, IT, Security, analytics, finance, et al.