My main use case for Coralogix is logging and log monitoring. I use Coralogix for log analytics, as whatever logs are going into it are analyzed for any issues that arise.
Coralogix serves as my main observability tool, similar to Kibana and Datadog. It provides observability and monitoring of all troubleshooting for all infrastructures and systems in real time. I can analyze and perform root cause analysis in real time, and it helps with logs and real-time access to logs, whether they are structured or unstructured types. It covers all databases, applications, and application-specific logs such as traces. I can use that alongside all metrics, security data, and dashboards. There are certain dashboards available, so most of the use cases we have been using this. On a day-to-day basis, the use cases for Coralogix include integrating dashboards, integrating Slack and Teams notifications for all opportunities. Alongside, I get the logs in real time and can store whatever is necessary. I can archive certain logs as well, and it has security information and event management, the SIEM capabilities. It can integrate with Prometheus and Grafana, the open-source technologies available, and the open telemetry technologies that are available in the market today. A specific scenario where Coralogix helped me is when we log into services and systems, and most of the time certain nodes in the cluster, one of the nodes gets down. When one of the nodes is down, I need to log into certain logs or check the services to determine which services are down, and based upon the services, I need to go to the specific log section, take out the logs and see. During the timestamp, I have to analyze the logs along with the timestamp and see what is happening. I need to see the post-event analysis and post-event logs to determine why the server or machine is down, what the cause is, and any specific issues. Coralogix helps with all real-time logs, pattern, and real-time analysis, providing an overview of what is happening. Instead of directly logging into the server, I just go to the Coralogix dashboard and see the logs and the machine, and I perform my RCA, whether I am the system engineer or the system administrator.
We are building a reconciliation system where we handle the in and out of transactions daily. We maintain a record to verify if transactions came at the expected time and match them with the bank statement. We also deal with Kafka and pod failures, high Kafka lag, and have integrated Grafana with Coralogix to monitor Kafka lag on each topic.
DevOps & Cloud Lead at a transportation company with 51-200 employees
Real User
Nov 29, 2022
Our primary use case for the solution is pushing logs so we can find the log there or provide it as a self-service to the developers, and developers can see logs and what's going on. So mostly the standard debugging use case.
It's a login solution. We have a bunch of applications running in our cloud and all the logs with stalled applications and rates. We put those logs in Coralogix. Then we analyze those logs for various things, including alerts, data analysis, investigations, et cetera.
Coralogix is a stateful streaming data platform that provides real-time insights and long-term trend analysis with no reliance on storage or indexing, solving the monitoring challenges of data growth in large-scale systems.
Ingest log, metric, and security data from any source for a single, centralized platform to monitor and alert on your applications. As data is ingested, Coralogix instantly narrows millions of events down to common patterns for deeper insights and faster troubleshooting....
My main use case for Coralogix is logging and log monitoring. I use Coralogix for log analytics, as whatever logs are going into it are analyzed for any issues that arise.
Coralogix serves as my main observability tool, similar to Kibana and Datadog. It provides observability and monitoring of all troubleshooting for all infrastructures and systems in real time. I can analyze and perform root cause analysis in real time, and it helps with logs and real-time access to logs, whether they are structured or unstructured types. It covers all databases, applications, and application-specific logs such as traces. I can use that alongside all metrics, security data, and dashboards. There are certain dashboards available, so most of the use cases we have been using this. On a day-to-day basis, the use cases for Coralogix include integrating dashboards, integrating Slack and Teams notifications for all opportunities. Alongside, I get the logs in real time and can store whatever is necessary. I can archive certain logs as well, and it has security information and event management, the SIEM capabilities. It can integrate with Prometheus and Grafana, the open-source technologies available, and the open telemetry technologies that are available in the market today. A specific scenario where Coralogix helped me is when we log into services and systems, and most of the time certain nodes in the cluster, one of the nodes gets down. When one of the nodes is down, I need to log into certain logs or check the services to determine which services are down, and based upon the services, I need to go to the specific log section, take out the logs and see. During the timestamp, I have to analyze the logs along with the timestamp and see what is happening. I need to see the post-event analysis and post-event logs to determine why the server or machine is down, what the cause is, and any specific issues. Coralogix helps with all real-time logs, pattern, and real-time analysis, providing an overview of what is happening. Instead of directly logging into the server, I just go to the Coralogix dashboard and see the logs and the machine, and I perform my RCA, whether I am the system engineer or the system administrator.
The use case for my organization is that we need a vendor to host our metrics.
Our company's use case for Coralogix is to protect our customers and support some attacks because here in Brazil, EFT is responsible for that.
We are building a reconciliation system where we handle the in and out of transactions daily. We maintain a record to verify if transactions came at the expected time and match them with the bank statement. We also deal with Kafka and pod failures, high Kafka lag, and have integrated Grafana with Coralogix to monitor Kafka lag on each topic.
We use Coralogix to analyze our log metrics. We were looking for an enhanced tool to help us secure our real-time data.
Our primary use case for the solution is pushing logs so we can find the log there or provide it as a self-service to the developers, and developers can see logs and what's going on. So mostly the standard debugging use case.
We primarily use it for metrics and reports.
It's a login solution. We have a bunch of applications running in our cloud and all the logs with stalled applications and rates. We put those logs in Coralogix. Then we analyze those logs for various things, including alerts, data analysis, investigations, et cetera.
The solution is mostly used for basic log monitoring, the sync of logs, log analyzing, log collection, et cetera.