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.

What do you like best about the product?

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.

What do you dislike about the product?

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.

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

Covers visibility gaps. Introduces more data types to observability. Shares and distributes data to other existing platforms. Saves costs for customers on data ingest. Applies machine learning on all data. Delivers a data-2-metric feature that allows real-time reporting on all data. Versatile in deployment, gives SaaS, PaaS options and choices to where secure/sensitive data. Gives big data to customers without needing of a team of data experts. Unifies data between IT and Security.

What do you like best about the product?

We came across LOGIQ looking for a simple and cost-effective Log aggregation tool. However, when we started evaluating it, we realized that it did what we wanted and more.

Initially, we only used Log search and Live log features, but soon we started playing around with other helpful features. For example, Log2Metric allowed us to derive interesting insights from our Log and create a visualisation of the same on the dashboard. Also, real-time Alerting came in handy when we wanted to raise email alerts in case certain logs were generated.

They also have a fantastic support team that is quick at issue resolution and always open to feedback.

What do you dislike about the product?

Although the log search functionality of LOGIQ is excellent, the functionality to jump to the log line in the logs is missing. Hope it's available soon!

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

We primarily use LOGIQ for aggregation and searching logs generated from our Microservices deployed in AWS Infrastructure. The benefit is that it allows us to do the same without breaking the bank.

What do you like best about the product?

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.

What do you dislike about the product?

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.

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

We were really having issues with not knowing when network wifi signals would cause reachability issues and cameras going offline. It was painful as it brought the whole pipeline down and that's pretty much 5 workers who are idle. We also ran into some issues where the micro-pc connected to the cameras ran out of disk space. We had no way of knowing that we were writing so many logs. Because we started to gather all logs in a central location we were able to pinpoint the issue.

LOGIQ.AI's full-stack observability gave us a full view of network monitoring, micro-pc node monitoring ( CPU, memory, disk usage ), and also all the application logs we wanted to gather.

With LOGIQ.AI deployed we really got a break on troubleshooting a distributed IoT environment that was otherwise taking us hours to root cause and also causing significant issues for the customer as their pipelines were getting stalled. We were worried about losing our business with the customer.

Recommendations to others considering the product:

The LOGIQ.AI platform is a great tool for creating a full-stack observability implementation if you are doing IoT or IIoT projects. Their product is easy to use and on board. It gives a single tool for both monitoring and log aggregation in these complex environments where many devices can be present. We love their observability data fabric and are using it in a similar manner in another project.

What do you like best about the product?

We were using Sumologic for quite a few years. Recently, as our capacity needs have grown, we decided to look for a more cost-effective alternative, which would allow us to grow, and manage our storage based on our schedule and needs. LOGIQ's approach to log management fit the bill quite nicely. The concept of "send us everything, filter what you truly want to analyze, and send only that data to your downstream vendors" was very appealing. It allows you to capture everything you are required from a compliance perspective, but still keep your Sumologic/Splunk/Datadog (etc) bills under control, by sending them only what is necessary for analysis. LOGIQ does have its own querying system, and for our needs it has been sufficient. Furthermore, the team at LOGIQ has been exceptionally welcoming to any feedback, and they are hands-on and participating in the onboarding process, doing everything in their power to build the client for success. One of my favorite things about this team is that as soon as we uncover a new use case or encounter and solve a new issue - that information gets immediately added to the documentation, for all other current and future clients to see.

What do you dislike about the product?

The querying process is not super intuitive, but it is constantly being improved. The UI can be a little bit confusing, but once you get used to the nomenclature, it is no longer an issue.

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

We need to capture an increasing size of firewall syslog data as well as web server logs from numerous systems, into a consolidated logs repository for long-term storage. LOGIQ takes that data, indexes it, and stores it onto our S3 bucket. These logs are always searchable within LOGIQ and require no rehydration. Furthermore, if we are to ever leave LOGIQ - all our data is still safe in our S3 bucket, and easily searchable with AWS Athena or many similar tools.

What do you like best about the product?

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.

What do you dislike about the product?

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.

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

We wanted to keep an eye on our Google Cloud Run serverless functions. Our workflows are serverless, and we have visibility through API calls to our services. It was simple for me to extract and visualize all of the status codes as a multiline time-series graph that can be filtered for one or more status codes using LOGIQ. I was able to quickly configure an alert. It is easy to take any query definition and turn it into an alert.

We configured an E-mail notification to be sent to me whenever a 5xx status code appeared. I saw several others that we might use in the future, like Slack or PagerDuty.

We like how their platform automatically parses and extracts all the information from our JSON data. We don't have to do anything extra for this to happen. We can see all the attributes, including nested ones, and they automatically get flattened. Everything just works with data handling so we save time.

We are using the Log2Metrics capability to monitor API latency. This is easy to do by plotting our JSON data that contains our latency measurements. It's easy to take data fields and convert them to time-series visualizations in LOGIQ on any data flow.