Log management is a crucial component of information security and IT infrastructure management in modern organizations. It involves the process of collecting, storing, processing, and analyzing log records within information systems and applications.
The goal of log management is to ensure thorough monitoring and recording of all events in the IT environment, helping to prevent and detect security incidents, identify infrastructure issues, and improve system performance and availability. Log management also plays a significant role in meeting legal regulations and standards, such as GDPR, PCI DSS, and SOX, as well as the cybersecurity law.
At our company, we have extensive experience in log management and processing large volumes of data (Big Data). Our solutions utilize modern technologies to ensure efficient log collection and analysis with high precision and speed. This includes tools for log aggregation, filtering, searching, and visualization, as well as features for anomaly detection and threat monitoring.
For log collection and management, we primarily use tools such as:
OpenSearch 2.0 is an open-source search and analytics platform based on Elasticsearch. It was created by the community in response to changes in Elasticsearch's licensing policy, as Elasticsearch moved towards a more closed model. OpenSearch 2.0 offers similar functionalities to Elasticsearch, including full-text search, data aggregation, and visualizations. It is designed to be fully compatible with the Elasticsearch API, allowing for easy migration from Elasticsearch to OpenSearch. OpenSearch 2.0 is available under the open-source Apache 2.0 license.