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Elasticsearch implementation – Fast search and data analysis
Elasticsearch is one of the most popular open-source tools for storing, searching, and analyzing data. The solution enables lightning-fast full-text search, log centralization, and real-time data analysis – even for massive datasets. A professional Elasticsearch implementation by Hawatel allows your company to work more efficiently with data, make faster business decisions, and reduce IT infrastructure maintenance costs.
Vendor: Elastic
Why implement Elasticsearch with Hawatel’s support?
- Performance: The solution enables lightning-fast searching and processing of large amounts of data, saving time in finding the necessary information.
- Real-time analysis: Quick response and decision-making for both operational and business purposes through real-time data analysis.
- Flexibility and scalability: Elasticsearch is flexible and scalable, allowing it to adapt to the growth of the organization and increasing amounts of data.
- Centralized logging: The system can serve as a central database for logs from the entire IT infrastructure, significantly reducing operational costs in analyzing the causes of IT system problems.
- Integrations: Thanks to its API, the solution can integrate with almost any other IT system, facilitating its implementation and minimizing IT infrastructure costs.
- Innovation: The product supports innovation within the organization through its artificial intelligence module, which is used, among other things, for trend analysis.
- Free or paid license: The solution is available in both free and paid versions. The free version has a lot of functionalities, which are often sufficient for the product to fulfill its tasks in the organization.
- SIEM: Elasticsearch can serve as a SIEM (Security Information and Event Management) system in the organization to monitor and inform in real-time about threats.
- APM: The solution includes an APM (Application Performance Monitoring) module that can delve deeply into applications and user transactions to detect performance issues.
- Logstash, Beats: The product has built-in tools that automatically fetch and receive data from third-party systems to feed into Elasticsearch.
- Kibana: The solution includes a web console for managing the environment and analyzing data.
Elasticsearch is a powerful solution with many functionalities:
- Large data sets: Full-text search that enables fast and accurate searching of information in large datasets.
- Geolocation search: Searching information sets based on geographic location data.
- Data aggregation: The automatic data aggregation mechanism allows the creation of new perspectives for analysis.
- Monitoring: Real-time search enables any monitoring and timely informing of the appropriate individuals.
- Data normalization: The data normalization process allows users to more accurately search for desired information.
- Graphical interface: The Kibana console, which is both a data analysis and visualization system.
- Data collectors: The product includes Logstash and various Beats (e.g., filebeat, winbeat, metricbeat, packetbeat) to feed Elasticsearch with data.
- Pre-built integrations: The solution has a vast set of pre-built integrations with various IT systems for data normalization and visualization.
- Third-party integrations: Support for multiple programming languages, facilitating integration with existing applications and systems.
- Supported operating systems: Linux, Windows, macOS.
- RBAC: The product has an extensive RBAC system for managing user permissions.
- Geographical maps: The system can visualize data on a geographical map based on stored geolocation data.
- Backups: The solution includes a built-in mechanism for creating and restoring backups.
- Data normalization: The Ingest Pipeline functionality allows data to be enriched, modified, and normalized just before being stored in Elasticsearch.
- High availability and data durability: Elasticsearch has an advanced clustering mechanism, making it easy to expand with new nodes when there is a need to handle more data.
- Solution health monitoring: The solution includes built-in self-monitoring to analyze any performance issues.
- Built-in security incident patterns: The product includes a set of rules compliant with the MITRE ATT&CK framework, enabling the identification of security issues related to systems and applications.
Our Elasticsearch implementation services
We have extensive experience in implementing solutions at any scale. We carry out software development projects based on the Elasticsearch solution. We build advanced IT infrastructure monitoring systems using Elasticsearch. We handle all kinds of integrations and provide solution support.
