working with Elastic Enterprise
What do you like best about the product?
analysis mode and easy use at the query level.
very good information at the graphic level to capture alerts and actions
What do you dislike about the product?
puede ser engorozo de instalar y configurar, especialmente para aquellos que no están familiarizados con Elastic.
What problems is the product solving and how is that benefiting you?
solves the problem of optimally indexing and searching large amounts of data, thus providing agile and important searches
Easy tool for finding logs
What do you like best about the product?
The way hoy you can search between a lot of logs
What do you dislike about the product?
Tools fon integration adn the formattin requiered in the api to ELS.
What problems is the product solving and how is that benefiting you?
A place where you can send our log for monitoring
Provides us with the capability to execute multiple queries according to our requirements
What is our primary use case?
I can describe a project where we use Elasticsearch, Logstash, and Kibana (ELK stack) for our archiving objectives. I work in the security department of a Fintech company in the payment industry. We use the ELK stack to connect our internal systems with the bank's systems and we used Beats for data collection. We then store and forward this data to Elasticsearch for indexing and analysis, visualize and create alerts using Kibana based on categorized access logs, identifying and blocking malicious traffic or payloads.
What is most valuable?
Logsign provides us with the capability to execute multiple queries according to our requirements. The indexing is very high, making it effective for storing and retrieving logs. The real-time analytics with Elastic benefits us due to the huge traffic volume in our organization, which reaches up to 60,000 requests per second. With logs of approximately 25 GB per day, manually analyzing traffic behavior, payloads, headers, user agents, and other details is impractical.
What needs improvement?
I don't see improvements at the moment. The current setup is working well for me, and I'm satisfied with it. Integrating with different platforms is also fine, and I'm not recommending any changes or enhancements right now.
For how long have I used the solution?
I have been using Elastic Search for the past year.
What do I think about the scalability of the solution?
It is scalable. We have multiple NGINX nodes and use horizontal scaling to handle traffic. Our system can handle the Indian UPI settlement and process sixty-seven thousand requests per second.
How are customer service and support?
We subscribed to NGINX for technical support, and they were helpful during the installation phase. There is a lack of community support for GRPC, which needs improvement.
How was the initial setup?
The deployment is easier for experienced but beginners may face difficulties during installation. They could easily outline the recommended steps for deployment.
What's my experience with pricing, setup cost, and licensing?
we are using a licensed version of the product.
What other advice do I have?
We are fully satisfied with the usage and support, rating it 8 out of 10. I recommend NGINX for managing traffic due to its multiple functionalities like load balancing, proxy management, and caching.
A log database that can be used to see the logs better
What is our primary use case?
The solution is a dashboarding tool that's useful for DevOps engineers for monitoring. The solution is like a log database. You can ingest into it anything you want and then find the value of the things you ingest. The solution can also be used to make reports.
What is most valuable?
The most valuable feature of the solution is its utility and usefulness. I use the solution to see the logs better or the error explained. The solution allows us to be more on top of the alerts for the logs. The solution makes passing of the logs easier and faster.
What needs improvement?
I would like to see more integration for the solution with different platforms. Sometimes, it's hard to understand what you need to send to Elastic Search.
For how long have I used the solution?
I have been using the solution for two to three years.
What do I think about the stability of the solution?
Elastic Search is a stable solution.
What do I think about the scalability of the solution?
More than 50 users are using the solution in our organization.
What other advice do I have?
We use the solution's live data analysis for operations purposes. The solution also has a monitoring aspect. ElasticSearch is like a middleman between the PRTG and ITSM tools. It is easier to pass the information about the metrics or the full logs of the cloud platform you are ingesting in the solution instead of giving the output to PRTG.
The solution is deployed on the cloud in our organization. Elastic Search is something that comes after the projects are done. After implementing the project, we use the solution to have that project monitored. I would recommend the solution to other users.
Overall, I rate the solution an eight out of ten.
Elastic Enterprise Search Review
What do you like best about the product?
It is extremely efficient to unify all data sources across the organization for improved search and organization. Also, compared to its competitors it is cost efficient.
What do you dislike about the product?
Initial setting up needs a prior experience or else you would need to spend more time in understanding its proper configuration methodologies.
What problems is the product solving and how is that benefiting you?
Can be integrated with Logstash and Kibana for logging, monitoring and dashboard.
User-friendly interface and covers lot of organizational usecases.
Cost effective.
A highly scalable and powerful tool that provides excellent indexing features
How has it helped my organization?
We have data in different databases. One is a relational database, and another is NoSQL. They are different services. They host document-like data. We used Elastic to convert the data structurally. We used Elastic as a multi-service search engine. It is a good solution. It is too powerful.
What is most valuable?
I would advise anyone to use the product. It is good. Data indexing of historical data is the most beneficial feature of the product.
What needs improvement?
The solution must provide AI integrations. I could direct my data flow to my AI tools if I use Elastic for IoT data.
For how long have I used the solution?
I have been using the solution since 2007.
What do I think about the stability of the solution?
I rate the stability an eight out of ten.
What do I think about the scalability of the solution?
The solution provides powerful scalability. I rate the scalability a ten out of ten. Our clients are medium-sized businesses.
How are customer service and support?
I do not need technical support because the product works well.
How was the initial setup?
The initial setup was very easy. I rate the ease of setup an eight out of ten. The setup can be done within minutes.
What's my experience with pricing, setup cost, and licensing?
I use the community version. The premium license is expensive. I rate the tool’s pricing an eight out of ten.
What other advice do I have?
With the power of Kibana, we can easily and dynamically analyze and summarize our log data. The internet has information about all the technical solutions. I bought some courses from Udemy for Elastic Search. I also got some documents from Elastic Search. The documentation for Java is very good. It was sufficient to learn as a developer.
I could integrate my products to Elastic Search easily. I use the default index for my solution, and it works very well. Elastic’s indexing policies are very good. I do not need any indexed operations for my solution. Overall, I rate the tool a nine out of ten.
Which deployment model are you using for this solution?
On-premises
Scalable platform with an easy initial setup process
What is our primary use case?
We use the product for log analytics and metrics features.
What is most valuable?
We can easily collect all the data and view historical trends using the product. We can view the applications and identify the issues effectively.
What needs improvement?
They could improve some of the platform's infrastructure management capabilities. There should be better visualization and insights about the cost of the SaaS services, which are not effective. Additionally, there needs to be more native integrations to merge the data.
For how long have I used the solution?
We have been using Elastic Search for about a year.
What do I think about the stability of the solution?
I rate the stability a ten out of ten.
What do I think about the scalability of the solution?
It is a highly scalable application. We have 15 users in our management team. I rate the scalability an eight out of ten.
Which solution did I use previously and why did I switch?
I have experience working with Splunk in the past.
How was the initial setup?
The initial setup for the SaaS platform is quite easy. We took assistance from an engineer for the onboarding. Thus, it was straightforward for us. However, there could be a better integration with AWS.
I rate the process a seven out of ten.
What's my experience with pricing, setup cost, and licensing?
I rate Elastic Search's pricing an eight out of ten.
What other advice do I have?
By integrating Deepgram insights with the product, we've gained visibility into logging, service behavior, and cost optimization.
I rate Elastic Search a nine out of ten.
Good tool for observability for storing and analyzing data
What is our primary use case?
Elastic has a lot of products. The one I'm most familiar with is Elastic Observability. It's designed to monitor our applications within an organization. It gives managers visibility into the activity and functionality of applications within the network. I've worked with it both on-premises and in the cloud. It helps us monitor applications and identify any issues. For example, we can see if an application is calling on a database if there are any delays or errors, and what might be causing those problems. It can also give us a proper view of the number of transactions done on the database and other information. It's not just pulling data for us; it's giving us real-time insights into the activities and functionalities of our applications within our network environment.
What is most valuable?
When users understand the root cause of the problem, they spend less time resolving it. The number one benefit is end-to-end stability. It provides deep visibility into your cloud and distributed applications, from microservices to serverless architectures. It quickly identifies and resolves the root causes of issues, like gaining visibility into all your cloud-based and on-prem applications. It also simplifies issue resolution, leading to faster resolution times and optimized performance. It is achieved through numerous tools, metrics, and application performance fine-tuning systems, ensuring a smooth user experience. That's why many enterprises seek this kind of solution. It provides valuable insights into potential security vulnerabilities, enabling pre-emptive measures and safeguards for your data assets. Then there's data-driven decision-making, which is very important! It breaks down data silos by ingesting all the telemetry data (metrics, logs, etc.) into a single, scalable platform with a contextual data model. This flexibility allows you to collect and visualize any data from any source. Essentially, it pulls data from all sources and guides you in making data-driven decisions for capacity planning, resource allocation, and risk mitigation. Finally, it also fosters collaboration across IT teams.
What needs improvement?
There are potential improvements based on our client feedback, like unifying the licensing cost structure, which might be helpful for clients. This room for improvement is from my perspective as a salesperson. Because when I give customers the pricing information, they might wonder why there are two different licensing models, unlike competitors like BeyondTrust or Delinea. Delinea also has the same thing with the code.
For how long have I used the solution?
I have been with this solution for more than six months.
What do I think about the stability of the solution?
It's very, very stable. Most times, I go through the demo sites, which allows understanding of functionalities and use cases and all of that. I would rate the stability a nine out of ten.
What do I think about the scalability of the solution?
It is a scalable solution. I would rate the scalability a nine out of ten.
How are customer service and support?
The customer service and support are very nice.
How would you rate customer service and support?
Which solution did I use previously and why did I switch?
I have experience with Delinea, ManageEngine, BeyondTrust, IBM and WALLIX. But compared to Elastic, they lack the same level of artificial intelligence capabilities. It's like an all-encompassing package with tons of features. One of those features is the ability to pinpoint the root cause of any problem, whether it's code issues (like it was not written properly), developer errors, or anything else. It goes beyond just surface-level troubleshooting and digs deep to give you the real why. That's what sets it apart from the others. Imagine an application is having some issues. Elastic can tell if it's faulty code, a developer mistake, or anything else. It gives you the true root cause, not just the surface-level symptoms. That's its strength and why it stands out as the industry standard.
How was the initial setup?
The initial setup is not complex to me. I've seen it displayed before in a demo presentation with Jakadaz. The solution is not difficult to use. It's very easy. Even as a non-technical person, I could interact with the application.
What about the implementation team?
The deployment doesn't take long because we have experts who can help. It's available both in the cloud and on-premises, so it depends on the customer's choice.
What's my experience with pricing, setup cost, and licensing?
It is a cost-effective solution. It is not expensive.
What other advice do I have?
I would rate it a nine out of ten for now. It has a lot of features compared to other solutions. Its comprehensiveness and range of features are what make it stand out for application monitoring. I highly recommend it. It's very good because it's efficient, highly scalable, and has high availability. Additionally, cost-effectiveness is crucial in Nigeria due to exchange rates. Organizations need solutions that are affordable, and Elasticsearch fits the bill. I would absolutely recommend it to any organization.
Which deployment model are you using for this solution?
Hybrid Cloud
An open-source solution for log management but improvement is needed in Kibana dashboard and authentication
What is our primary use case?
We use the product for log management.
What is most valuable?
The products comes with REST APIs.
What needs improvement?
Elastic Search needs to improve authentication. It also needs to work on the Kibana visualization dashboard.
For how long have I used the solution?
I have been using the product for six years.
What do I think about the stability of the solution?
I rate the product's stability a nine out of ten.
What do I think about the scalability of the solution?
I rate Elastic Search's scalability a ten out of ten.
How are customer service and support?
The technical team needs to improve their response time.
How would you rate customer service and support?
How was the initial setup?
The tool's deployment is easy. It took us one day to deploy a seven-node Elastic Search cluster.
What's my experience with pricing, setup cost, and licensing?
Elastic Search is open-source, but you need to pay for support, which is expensive.
What other advice do I have?
The solution suits medium to large companies better. I rate it a nine out of ten.
Which deployment model are you using for this solution?
On-premises
