Elastic Stack Reviews

I work as an Elastic consultant, so I am interested in learning about other tools.

The ability to deploy Elastic Stack both in the cloud and on-premises meets my organization's infrastructure needs and compliance requirements completely. Elastic holds most of the compliance requirements that customers would ever need, including being HIPAA certified and possessing various security-based certifications. Many government organizations use Elastic Stack, so it aligns with compliance standards.

The centralized logging capabilities of Elastic Stack have helped me streamline my logging processes significantly because there are many open-source tools available, such as Filebeat and Logstash, to collect the logs. Some people are using Vector these days, which is built on Rust, making it very fast. Since it is open-source, I can push logs from anywhere, and most of the client tools available that can push logs are open-source.

In terms of centralizing, this tool is mostly built for that purpose. People who are using traditional bases face a challenging issue with the schema; without a proper understanding of the schema, they cannot search. However, with Elastic Stack and other Lucene-based or indexing-based tools, everything is converted to JSON, parsed, and ingested. I can do full-text search within seconds because it creates inverted trees at the time of indexing itself.

The main use cases include maintaining and monitoring my client's internet platform. I am plotting reliability and scalability monitoring through Elastic Stack.

The scripting model in Elastic Stack allows me to query logs and then put the data into Grafana. I use ELK scripts for complex customer scenarios. The search capabilities are helpful as they allow me to fetch data and then display it on Kibana.

Our primary use case for Elastic Stack is to stack our logs in one place.

Elastic Stack has made a positive impact as we can now see our logs.

We're using Elastic Stack for logging as part of our MDR solution within a SIEM system. We have developed our user interface on top of the Elastic Stack. We leverage Elastic for its storage and parsing capabilities.

It provides a faster response.

Initially, my company started with Elastic Stack for some kind of search in one of the mobile-related projects we were handling and when Kibana was available in the beta release version. My company enabled Elastic Stack for most of the cases of one of our customers, and mostly, it was for the search-related area. My company managed the search for complex scenarios, not only for the logs but also for the FDA and drug database for the physicians involved in one of the healthcare projects, where the search capability had to be enabled. Apart from AWS, Amazon CloudWatch offers a faster setup process for Elastic Stack. With AWS, my company used ELK Stack and Kibana for all kinds of other things instead of Amazon CloudWatch.

One of the biggest assets of the Elastic Stack is its search capability, as it is one of the core features that my company leverages for most things, including the search of logs. Regarding the timestamp and retrieval of logs, anyone apart from the production support with proper access can search the log timestamp, including the exact details of what has been logged and what caused the issue. For application-related or large sets of data that are not relational, like in a JSON format, my company is pushing and putting across the Elasticsearch index, and once it is enabled, the search can be made faster.

In my company, we use Elastic Stack for managing logs from various equipment, and then we create alerts in some cases before sending them to one of our projects.

The most valuable feature of Elastic Stack is its ease of implementation. The tool has various services like security, managing, and searching logs. Elastic Stack is one of the best tools, and I highly recommend it since it influences everything in one's environment.

We are using the solution as our backend with information for a team. We also use Elastic as our database. We saw a lot of logs from our devices through Elastic Stack. 

We can group a lot of alarms into one automation alarm supervision. It's quite helpful for us. We used that to suppress our alarms. Elastic already provides the agent. It is easy to integrate Elastic Stack with other devices and vendors.

Elastic Stack is used for advanced search and observability purposes. It is utilized for Application Performance Monitoring and log monitoring in daily operations. 

Elastic Stack is mainly used to monitor servers and APIs. It helps ensure the software's availability and sends notifications at the right time so the system is not down for a long time. The tool's stability and advanced features, such as anomaly detection, are the most valuable features. The benefit of using it is real-time monitoring.