Linux Polska — Your Elastic Partner
- Our mission is to enable clients to have full control over their data and facilitate decision-making based on reliable analyses. We achieve this using Elastic solutions, which excellently support monitoring of infrastructure, network layers, applications, and processes, thus enabling anomaly detection and preventing issues before they impact business operations.
- As an authorized Elastic partner, we offer consulting, architecture design, implementations, as well as technical support and training in this technology area.
- Our approach involves close collaboration with the client, allowing for a precise understanding of the specifics of their IT environment and business, and customizing solutions to meet unique needs.
- The team of experienced engineers at Linux Polska actively supports the development of our clients’ IT teams’ competencies, helping them continually enhance security and operational efficiency.
- Thanks to our services, clients can fully benefit from data search and analysis solutions, continuously improving the functioning and performance of their companies’ complex digital ecosystems.
How we can help — explore our offerings
ELASTIC SOFTWARE
Elastic Stack
Elastic Observability
Elastic Security
Elastic Search AI Platform
ELASTIC SUPPORT
Technical support
Trainings & certifications
Community
LINUX POLSKA SERVICES
Architecture design
Implementation
Technical support for service maintenance
Consulting
Development
Elastic about us
As an Elastic Elite Partner, Linux Polska not only possesses high technical competence but also has a deep understanding of the local market. The combination of Elastic’s Search Analytics platform and Linux’s expertise will ensure that customers in Poland will receive the highest level of support and advice in search analytics technology.
Area Vice President Emerging Markets, Elastic
Discover Elastic products
Elastic Stack, also known as ELK Stack, is a leading enterprise search solution. It consists of a suite of open-source tools designed for collecting, processing, analyzing, and visualizing data. With its high scalability and flexible configuration options, it enables efficient gathering, searching, and statistical analysis of large data sets (big data).
The Stack includes three main components:
- Elasticsearch: A data store (document store) with implemented essential functions for data access, management, access control, and scalability solutions (clustering).
- Logstash: A tool for collecting, transforming, and transporting log data.
- Kibana: An application for visualizing data stored in Elasticsearch.
Applications of Elastic Stack
- Log Data Collection and Analysis: Aggregation of data from various sources and their analysis.
- System Performance Monitoring: Analysis of system metrics and problem identification.
- Data Analysis and Visualization: Real-time data presentation using Kibana.
- IT Infrastructure Management: Monitoring and administration of IT infrastructure.
Advantages of Elastic Stack
- Scalability: Ability to tailor solutions to the needs of different organizations and industries.
- Integration with Various Data Sources: Support for numerous data formats and sources.
- Intuitive Analytical Tools: Easy to manage and analyze log data.
- High Performance: Fast data search and analysis.
- Openness: Flexibility in customization to meet specific user needs.
Deployment scenarios
- IT Infrastructure Monitoring: Management and monitoring of IT infrastructure in organizations.
- Log Data Analysis: Analysis and visualization of data from various sources.
- System Performance Management: Identification and resolution of system performance issues.
- IT Event Management: Analysis and response to IT security events.
Features
- Data Collection: Logstash aggregates data from various sources.
- Data Processing: Logstash transforms data before storing it in Elasticsearch.
- Data Searching and Analysis: Elasticsearch enables searching and analyzing the collected data.
- Data Visualization: Kibana provides tools for dynamic data visualization.
For more information, visit the official Elastic website.
Elastic Observability is an advanced solution that provides comprehensive visibility and monitoring of applications and IT infrastructure.
Applications of Elastic Observability
- Application Performance Monitoring (APM): Real-time data collection on application performance.
- Infrastructure Monitoring: Gathering system and service metrics from servers, Docker containers, Kubernetes, Prometheus, and other technologies.
- Real User Monitoring (RUM): Analyzing the performance of web applications from the users’ perspective.
- Log Monitoring: Analyzing data from logs sourced from various origins.
- Synthetic Testing: Monitoring application availability and performance through simulated user actions.
- Universal Profiling: Performance profiling of applications at the host level.
Advantages of Elastic Observability
- Integration with OpenTelemetry: Support for open standards facilitates data transmission to the Elastic platform.
- Scalability: Capability to monitor in cloud and hybrid environments.
- Automation: Anomaly detection and problem cause analysis using artificial intelligence and machine learning technologies.
- Integrated Tools: Access to various monitoring tools in one place.
- Ease of Implementation: Cloud environment deployment and pay-as-you-go payment model.
Deployment scenarios
- Cloud Computing: Monitoring applications operating in environments such as AWS or Azure.
- DevOps Processes: Monitoring the entire software lifecycle, from development to production deployment.
- Application Performance Analysis: Quick identification and resolution of application performance issues.
- User Experience Monitoring: Proactive management and optimization of user interactions with applications.
Features
- Data Collection and Analysis: Aggregating and analyzing data from various sources using Elasticsearch.
- Visualization and Alerts: Data presentation and alert generation in Kibana.
- Automation and AI: Using artificial intelligence to automate analyses and detect anomalies.
For more information, visit the official Elastic website.
Elastic Security is an advanced solution for cybersecurity threat protection, integrating features of SIEM (Security Information and Event Management), endpoint protection, and cloud security.
Applications of Elastic Security
- Threat Detection: Identification of a wide spectrum of threats in real-time.
- Event Analysis: Detailed analysis and prioritization of security-related events.
- Endpoint Protection: Defense against malware and other threat types.
- Cloud Security: Security management in cloud and hybrid environments.
- Threat Investigation: In-depth analysis of threats and malware.
Advantages of Elastic Security
- Integration with Elasticsearch: Utilizes the powerful distributed search engine for storing and analyzing data.
- AI-Driven Analysis: Rapid threat detection and response powered by artificial intelligence.
- Scalability: Adapts to the needs of diverse organizations and industries.
- Ease of Use: Intuitive tools for data analysis and visualization.
- Integrated Tools: Easy integration of various security tools in one place.
Deployment scenarios
- Security Management in Cloud Environments: Monitoring and protecting applications and infrastructure in public and private clouds.
- Endpoint Protection: Securing devices against malware and other threats.
- Security Incident Analysis and Response: Rapid identification and response to security incidents.
- Security Management in Hybrid Environments: Monitoring and protecting applications and infrastructure in hybrid settings.
Features
- Threat Detection: Advanced tools for real-time threat detection.
- Event Analysis: Tools for analyzing and prioritizing security-related events.
- Endpoint Protection: Features for protection against malware and other threats.
- Cloud Security: Management of security in cloud and hybrid environments.
- Data Visualization: Tools for presenting and analyzing security-related data.
For more information, visit the official Elastic website.
The Elastic Search AI Platform is an advanced solution that combines precise search capabilities with advanced artificial intelligence, enabling the creation of innovative applications, proactive resolution of visibility-related issues, and effective response to complex security threats.
Applications of Elastic Search AI Platform
- AI Application Development: Developing applications that integrate AI, capable of processing and analyzing data in real-time.
- Monitoring and Visibility: Proactively identifying and resolving monitoring-related issues within infrastructure.
- Security: Detecting threats and responding to protect against hazards.
- Data Analysis: Processing and analyzing structured and unstructured data in real-time.
Advantages of Elastic Search AI Platform
- Integration with Elasticsearch: Utilizes an extensive distributed search engine for storing and analyzing data.
- AI-Driven Analytics: AI-based analyses that enable quick identification of and response to threats.
- Scalability: Adaptable to various organizational and industry requirements.
- Ease of Use: Intuitive tools for data analysis and visualization.
- Open Source: Flexible configuration and customization to meet individual user needs.
Deployment scenarios
- Security Management in Cloud Environments: Monitoring and protecting applications and infrastructure in public and private clouds.
- Endpoint Protection: Securing devices against malware and other threats.
- Security Incident Analysis and Response: Rapid identification and response to security incidents.
- Security Management in Hybrid Environments: Monitoring and protecting applications and infrastructure in hybrid settings.
Features
- Data Collection: Logstash collects data from various sources.
- Data Processing: Logstash transforms data before storing it in Elasticsearch.
- Data Searching and Analysis: Elasticsearch enables the search and analysis of collected data.
- Data Visualization: Kibana provides tools for dynamic data visualization.
- Automation and AI: Automating analytical processes and detecting anomalies using artificial intelligence.
For more information, visit the official Elastic website.
How can we help you?
Tell us about your needs.
Our Clients
