
Learn to transform log data into Prometheus metrics, enhancing observability by combining log information with existing metrics for improved troubleshooting and alerting in cloud-native environments.

Learn to effectively monitor and troubleshoot Cluster Autoscaler in Kubernetes, covering metrics, logs, common issues, and best practices for reliable autoscaling across multiple cloud providers.

Explore AI-powered log anomaly detection with Opni for Kubernetes, Rancher, and Longhorn. Learn setup, use cases, and future plans for extracting valuable insights from infrastructure logs.

Explore techniques for efficiently analyzing vast log data to enhance application security and incident response in this insightful presentation by security expert Moti Harmats.

Explore latest Kubernetes troubleshooting features: Structured Logging, Contextual Logging, and Distributed Tracing. Learn implementation, benefits, and future developments for improved system management.

Explore Kubernetes security: log types, detection strategies, and real-world scenarios. Learn to identify malicious activities and risky configurations in both self-managed and CSP-managed clusters.

Hands-on chaos engineering workshop simulating pod and network failures in Kubernetes. Collaborative troubleshooting using logs, metrics, and tools like Prometheus. Unique blend of live-action gaming and practical learning.

Explore PowerShell's significance in cybersecurity, including exploit frameworks, logging, and evasion tactics. Learn about machine learning applications for analyzing PowerShell data and improving detection efficacy.

Explore Red Hat's CI system using cloud solutions and Jenkins to streamline development and QA processes, improving efficiency and reducing cycle time for product testing.

Explore big data analysis for cybersecurity using Hadoop, tackling malware, network traffic, and log files at scale to overcome processing limitations and enhance threat detection.

Explore generic signatures for log events with Sigma, a YAML-based format for sharing and converting log signatures across different SIEM systems and query languages.

Explore DNS vulnerabilities, attacks, and security measures. Learn analysis techniques and tools to detect and prevent malicious DNS activities in enterprise networks.

Explore ICS/SCADA attack detection techniques, relevant logs, and ML-based anomaly detection methods. Includes practical demonstrations and insights for enhancing industrial cybersecurity.

Discover top SIEM use cases for detecting penetration testers, including password spraying, antivirus alerts, and unusual account activities. Learn to enhance your organization's security monitoring capabilities.

Explore Splunk's capabilities for incident response and forensics, including log analysis, dashboards, alerts, and statistical analysis for effective cybersecurity investigations.

Explore Office 365 security through real-world attack case studies. Learn investigation techniques, log analysis, and defense strategies to protect cloud-based enterprise environments.

Explore graph-based security analytics with Grapl, leveraging Python for powerful attack detection, behavior analysis, and streamlined investigations in complex environments.

Explore cloud security techniques for AWS and Azure, focusing on identifying and addressing potential vulnerabilities using Splunk's powerful data analysis capabilities.

Hands-on guide to troubleshooting Kubernetes apps using Elastic Stack, covering health checks, monitoring, tracing, logs, and deployment analysis for efficient problem-solving.

Discover how to effectively analyze and make sense of big data using Elasticsearch, Logstash, and Kibana in this insightful presentation on distributed log analysis techniques.

Explore open-source log analysis with Kibana in this demo-heavy session. Learn about past, present, and future developments for efficient data visualization and analysis.