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ELK Elasticsearch Primary Use Case

Owner & director at Pulsar ICT

We try to detect malicious files by the logs. The logs are all centralized including all our PCs, our callers, our servers, Linux, windows, Polaris names. We scan everything. Then we have pre-defined specific use cases that allow us to identify if there is an attack on the machine or indirectly by the endpoint. On top of that, we can check with users as we're not directly dealing with the configuration, so we can follow up on the alerts we receive. On top of that, we have the systems in place that allow us to detect if certain inexcusable items are on the system, such as malicious files. We can do this because we also retrieve the log files of the identifiers.

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Chief Data Scientist at Everlytics Data Science Pte Ltd

I'm involved in architecting and implementing Elasticsearch-based solutions, catering to various use cases including IIoT, cybersecurity, IT Ops, and general logging and monitoring.

The intention of this article is not to compare AWS Elasticsearch with Elastic ELK Elasticsearch and at the end declare the winner. Elasticsearch by itself is one of the coolest and versatile Big Data stacks out there. If you are planning to use it in your organization or trying to evaluate if it is the right stack for your product/ solution, this article offers some insights from an architect's perspective.

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Head of Technology Operations at a financial services firm with 11-50 employees

I run the function to review the usage for the team and for the organization itself.

We use this product internally and then some of our business relationships with the other businesses that we have, they get their data from our data. It's more for collaborative data reporting that we have with them.

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Learn what your peers think about ELK Elasticsearch. Get advice and tips from experienced pros sharing their opinions. Updated: January 2022.
566,121 professionals have used our research since 2012.
Owner and CEO at Karmasis

We are developing a SIEM application that is similar to QRadar, ArcSight, or Splunk. This application uses Elasticsearch as its search engine because we want to retrieve information fast. We are just using the basic search engine part of Elasticsearch. We have developed lots of things on top of Elasticsearch, such as security, correlation, reporting, etc.

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Senior Consultant at a tech services company with 10,001+ employees

Our main use case is to centralize all the logs from the infrastructure environment and the data center.

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CN
Senior DevOps Engineer at a financial services firm with 10,001+ employees

While the solution is slated for making logging positions more centralized, at present we are gearing through it. A fully-fledged deployment of alignments is not yet in place.

We have adjusted the logs into the spec for a couple of our applications.

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DE
Cyber Security Professional at Defensive Cyber Security Center Germany

In terms of use case, we combine a lot of things with Elastic. It's two platforms, so with Elasticsearch, we're using the Beats, Kibana, and Suricata. It's a query engine and we use the information from our sensors. It gets ingested into that and we use the resources to get everything put on our dashboards. If something is detected, alerts come up right away and it's very, very accurate. The more ingest it receives, the better we can respond to threats. It's not just Elastic or Logstash, it's a combination of those and other tools that we would apply towards our threat detection and prevention. We have a partnership with ELK.

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SK
Senior Consultant at sectecs

I am using it to get some hands-on experience and learn the product by searching, building use cases, test cases, dashboards, and visualizations.

With hands-on experience, you learn more about the product and how it works.

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Business Intelligence at UTE

We are mainly using it for analytics reports for the data taken from our call center. We are using the entire stack. We are using Kibana and Elasticsearch. Kibana is the front end for dashboards, reports, etc.  

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Lead Software Architect at a tech services company with 51-200 employees

The primary use case of this solution is for text indexing and aggregating logs from different microservices.

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Senior Analyst at a tech services company with 10,001+ employees

We are primarily using it for monitoring. It is used for server monitoring.

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System Administrator and DevOps Engineer at a tech services company with 10,001+ employees

Our primary use case of this solution is for monitoring our logs and infrastructure. We are customers of ELK and I'm a system administrator. 

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VM
Technical Manager at a computer software company with 51-200 employees

Elasticsearch is one of the NoSQL databases available. My application is a microservices application where the data gets published on a Kafka cube. It allows us to connect to Kafka and get this data in a document format very easily. I'm using Elasticsearch as my backend processing database, where I'm building and reporting using Kibana.

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Co-Founder at a tech services company with 1-10 employees

We use ELK Elasticsearch for storing application data logs.

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IT Infrastructure Analyst at AG Group

I am using this product for a SIM solution.

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DL
IT Secuirty Architect at a insurance company with 10,001+ employees

We are internal integrators. We are in the bigger group as of now, but other groups, our clients, are affiliates from our group. They are our internal clients. 

The solution is currently on-premises.

I was mostly responsible for the SOC team, and I helped them create the detection rules for the production. I wanted to know how it could be implemented in different kinds of products, like Sentinel.

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General Manager at BroadBITS

We use this solution for log management. We collect many logs from Windows systems to later analyze them for security checks and audit purposes.

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YR
Associate Software Engineer at a tech services company with 51-200 employees

My organization works in the healthcare industry and we use this product as our database.

When we have questions about our data then we use Elasticsearch to make queries.

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SR
Associate - Projects at a computer software company with 10,001+ employees

We are using ELK Elasticsearch in a database. We use both Logstash and Kibana. Kibana is used for monitoring where the data is coming from.

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Learn what your peers think about ELK Elasticsearch. Get advice and tips from experienced pros sharing their opinions. Updated: January 2022.
566,121 professionals have used our research since 2012.