Elastic Search significantly improved our blog management at the organization. It played a crucial role in enhancing our cybersecurity efforts by allowing me to identify the geographical origins of web traffic. This feature was instrumental in identifying and mitigating potential threats from various actors. The ability to pinpoint the source of the traffic helped in quickly addressing security concerns and filtering out potential threats.

The solution satisfies our business needs.

It gave us a tool to perform queries on unstructured data that had no fixed schema/form. This alone was a great asset, especially when dealing with clients that have large datasets from various sources that each follow their own format. 

It gives us the possibility to store and query this data and also do this efficiently and securely and without delays. 

Moreover, its learning curve was not steep. Therefore, no training was required - or at least no significant amount of time was consumed for training activities.

ELK has helped my team leverage a powerful and efficient capability that is comparable to more costly solutions.

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.

I'm not the right person to answer this question as I'm the service provider. My clients are the right people to answer.

The solution has improved our organization by allowing us to quickly search data from multiple systems saving valuable time.

All new applications have been onboarded and used by the application teams. The initial feedback has been positive, and its capabilities seem to be a descent fit for our needs.

The product offers a powerful, cost effective solution for proprietary log management and is easy to understand and start with. This saves cost as well as enhances usability.

We have some important IT systems which provide support for our business processes. Money is a big issue. If something happens to the IT systems, we lose some money. 

We built Elasticsearch solutions to help us to search more quickly. After that, we can calculate how much money we can save by implementing Elasticsearch as a solution.

This has improved our organization because we articulated Kubernetes, Docker, and GitHub with amazing simplicity in the scaling up of our service.

This product has notably improved the way we store and use logs, from having a more user-friendly, centralized solution (for those who just needed a quick glance, without being masters of sed and awk) to implementing various mechanisms for machine-learning from our logs, and sending alerts for anomalies.

• Fast search
• Relevant results returned
• Autocomplete/fuzzy search