
Explore how combining vector search, generative AI, and traditional search approaches with enriched content and secure data retrieval can enhance commercial applications of Large Language Models.

Exploring IPv4 scans to uncover exposed databases, revealing vulnerabilities in popular key-value stores and the risks of data theft and remote code execution in insecure setups.

Build an extractive Q&A system using Haystack, FastAPI, and BERT transformer. Implement Elasticsearch with BM25 retriever for efficient information retrieval and answer generation from text documents.

Explore strategies for running highly available, scalable Elasticsearch on Kubernetes. Learn about storage autoscaling, persistent disk management, and secure client connections using Envoy and Kubernetes ingress.

Enhance your .NET app with self-service analytics using Elasticsearch in Docker containers. Learn zero-downtime deployment and feature addition in this hands-on tutorial.

Explore eBPF-based solutions for enhancing observability in cloud-based Linux lab environments, focusing on real-time resource monitoring and user behavior insights with minimal performance impact.

Learn to reduce recovery times and achieve high availability for distributed applications on DC/OS using external persistent volumes, with practical examples and demonstrations.

Explore powerful network flow monitoring in Kubernetes using Contiv/VPP CNI and Elastic Stack for real-time visibility, debugging, bottleneck identification, and security incident investigation.

Explore open-source tools for enhancing Kubernetes monitoring and observability, including log aggregation with Elasticsearch, metrics with Prometheus and Grafana, and exception handling with Sentry.

Explore scalability improvements for in-memory indices in managed search engines, comparing compressed and uncompressed indices on DRAM and NVM, and analyzing performance trade-offs.

Explore observability beyond logs, metrics, and traces. Learn holistic system monitoring approaches, creating richer events aligned with business needs, and adding value through comprehensive system understanding.

Learn to build a security platform using Elastic Stack. Explore basic components, data ingestion tools, data management, and cluster security. Gain insights from an experienced developer on leveraging SIEM for effective security monitoring.

Explore real-time data processing architecture for high-traffic monitoring, including distributed systems, Go-based microservices, and Kafka with ElasticSearch. Learn from successes and failures in upgrading monitoring systems.

Netzwerküberwachung ohne SNMP: Verwendung von SSH, Python und ELK Stack für effektives Monitoring. Praxisnahe Einblicke in alternative Methoden zur Datenerfassung und -analyse von Netzwerkhardware.

Explore machine learning techniques for detecting complex threats in cybersecurity, focusing on APTs, technical controls, and innovative solutions using algorithms and data analysis.

Innovative techniques for advanced red team operations, including infrastructure management, blue team detection, and dynamic adjustments to enhance effectiveness and evasion.

Explore geospatial analytics at scale using Kafka, Spark, and Elasticsearch on DC/OS. Learn about high-velocity IoT data consumption, streaming analytics, and spatiotemporal data storage across cloud environments.

Explore AWS's commitment to open source, its contributions, and strategies for maintaining openness in key technologies like Java and Elasticsearch. Learn about their approach to licensing and community engagement.

Explore Elastic Stack's enterprise search, observability, and security solutions on Azure. Learn to leverage search for applications, websites, and Azure environment protection.

Learn data-driven strategies to streamline network monitoring, reduce alert fatigue, and optimize your time. Discover tools and processes for effective business intelligence and dashboard creation.

Automate security event analysis using ELK, Bro IDS, and threat intelligence feeds. Learn to integrate frameworks for faster incident response and enhanced threat detection.