We use Elastic Search for search purposes and things related to semantic search.
It is not being used for the moment regarding my main use case for Elastic Search.
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Elk usage on elastic using kibana dashboards
What do you like best about the product?
Log monitoring and it's feature to identify anomalies using enterprise elk license version and creating the dashboards on elastic are so easy
What do you dislike about the product?
Nothing all features including th exam agents features are very good for elastic
What problems is the product solving and how is that benefiting you?
Log monitoring and other features of elk including the anomaly detection and elastic apn agent where we are monitoring application performance. Capturing all logs and shown for dashboard helped in all ways to reduce incidents in applications
Sr. Elastic Engineer
What do you like best about the product?
Elastic's cloud-base solution is easy to configure and deploy. Immediately start to ingest data within minutes. Simply deploy and configure one of many integrations and begin making data driven decisions. Elastic's various components such as observability, search (vector search), SIEM makes it a one stop solution for needs.
What do you dislike about the product?
I have been using this product for over 9 years and there is not an aspect which I dislike.
What problems is the product solving and how is that benefiting you?
Elastic is helping with its SIEM integration and anomaly detection providing us with immediate alerting allowing quick mitigation and/or remediation
Very good experience
What do you like best about the product?
The platform offers both hot and cold storage options, which is useful for managing data efficiently. I also appreciate the log monitoring capabilities provided through ELK, as well as the ability to create dashboards in Kibana.
What do you dislike about the product?
Everything about elk is great; there’s really nothing I dislike about it.
What problems is the product solving and how is that benefiting you?
This tool provides both log monitoring and application performance monitoring, making it useful for tracking system activity and ensuring applications run smoothly.
Elastic as a replacement of Splunk
What do you like best about the product?
Deployment licensing model as compared to Splunk. Ease of use, and customer support, ease of implementation, elastic integrations.
What do you dislike about the product?
Learning curve, getting familiar with the KQL, and other aspects of indexing within ealstic.
What problems is the product solving and how is that benefiting you?
We needed a replacement for Splunk and decided to go with Elastic, it has solved our licensing issues, and our ability to scale our log management.
A Powerful Core for Our Data Needs
What do you like best about the product?
Elasticsearch gives our team fast and relevant search results. We manage large datasets with ease. Its strong performance is a major benefit. It also works well with other Elastic Stack tools like Kibana. This creates a complete solution for our data analysis and visualization.
What do you dislike about the product?
New users may need some time to learn all its features. The initial setup requires careful planning to get the best performance. It can also consume significant system resources when handling very large workloads, so plan your hardware needs.
What problems is the product solving and how is that benefiting you?
Elasticsearch solves the problem of slow, difficult searching by centralizing our scattered application logs and metrics into one place. This benefits our team by allowing us to troubleshoot issues almost instantly and use live dashboards to make smarter, data-driven decisions.
Great product, easy to use and provides fast search results
What do you like best about the product?
The Kibana interface is easy to use. It provides many features like create dashboards, filter search queries and generate report.
What do you dislike about the product?
The navigation menu can be improved to highlight the most frequent used features.
What problems is the product solving and how is that benefiting you?
My team builds the Elastic service on prem to provide fast search and analytical needs for our downstream application teams for their business requirement.
Elastic search - One Stop Solution for Enterprise Monitoring
What do you like best about the product?
I appreciate how dashboards can be tailored to suit the specific needs of different teams, allowing for a high level of customisation.
What do you dislike about the product?
Setting up can be complex because it involves integrating several tools, such as Kibana and Elastic, which adds to the overall difficulty.
What problems is the product solving and how is that benefiting you?
We can create impressive dashboards that provide valuable insights and highlight trends across various modules within the project. Additionally, the tool is used to send timely alerts, which makes monitoring much more straightforward.
Elastic platform is flexible and scalable
What do you like best about the product?
I like that Elastic is one of the only vendors that delivers both SIEM and EDR on premise with a simple licensing model.
What do you dislike about the product?
The only downside I see is the amount of work it takes to maintain and upgrade a large on premise cluster manually (not using ECE or ECK).
What problems is the product solving and how is that benefiting you?
Time series database is perfect for high volume SIEM use case.
Machine learning features have improved search projects and user experience
What is our primary use case?
What is most valuable?
In my experience, the best features Elastic Search offers are its stability and brand new features that I consider very interesting.
The machine learning features of Elastic Search are very interesting, including the possibility to include models such as ELSER and different multilingual models that let us fine-tune our searches and use them in our search projects.
The machine learning features of Elastic Search have helped us with many things such as improving our searches and experience for the guests.
What needs improvement?
We could benefit from refining the machine learning models that we currently use in Elastic Search, along with the possibility to integrate agents, intelligent artificial intelligence, form of agent, and MCP.
It would be useful to include an assistant into Kibana for recommendations, advice, tutorials, or things that can help improve my daily work with Elastic Search.
For how long have I used the solution?
I have been using Elastic Search and Kibana for about four years.
What do I think about the stability of the solution?
In my experience, Elastic Search is quite stable.
What do I think about the scalability of the solution?
The scalability of Elastic Search is very good in my opinion. It never has incidents that cause issues in our daily tasks.
How are customer service and support?
The customer support for Elastic Search is one of the best I have ever tried. Whenever I had to create a new incident, I got the responses that I needed.
How would you rate customer service and support?
Positive
What other advice do I have?
I consider Elastic Search a very good project. On a scale of 1-10, I would give it a 10.
The features and capabilities that Elastic Search provides are very easy to use, and the documentation is rich. You can find and understand everything here to use it properly.
I would tell others looking into using Elastic Search that they can try it and see if it fits their use cases.
Elastic Search is a very good product. I really appreciate all the features that it provides, and I hope this product continues its evolution in the way it has been.
Which deployment model are you using for this solution?
Private Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Unlocking the Power of Data with Fast Search and Analytics
What do you like best about the product?
1. Near real-time search
2. Hugh Scalability
3. In our scenario, it helps us to centralize logs and metrics from different systems into one searchable platform, helping our IT ops and security teams troubleshoot issues quickly.
4. It supports full-text search, filters, geospatial queries, and many more, all in the same engine.
2. Hugh Scalability
3. In our scenario, it helps us to centralize logs and metrics from different systems into one searchable platform, helping our IT ops and security teams troubleshoot issues quickly.
4. It supports full-text search, filters, geospatial queries, and many more, all in the same engine.
What do you dislike about the product?
1. High resource usage - It is high CPU and memory hungry product.
2. It is quite expensive and complex to manage at scale
2. It is quite expensive and complex to manage at scale
What problems is the product solving and how is that benefiting you?
1. It collects logs, metrics, and traces from apps, servers, firewalls, etc. into one platform.
2. It provides real-Time Analytics
3. Root cause analysis in minutes, doesn't take hours/days.
4. Centralized SIEM-like function for threat visibility.
5. Can handle increasing data from Yotta’s hyperscale environment.
6. Elasticsearch turns raw data into actionable insights in real-time — helping us run, secure, and scale our datacenter operations with speed and confidence
2. It provides real-Time Analytics
3. Root cause analysis in minutes, doesn't take hours/days.
4. Centralized SIEM-like function for threat visibility.
5. Can handle increasing data from Yotta’s hyperscale environment.
6. Elasticsearch turns raw data into actionable insights in real-time — helping us run, secure, and scale our datacenter operations with speed and confidence
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