Java Day Istanbul is one of the most effective international community driven software conference of Türkiye supported by Istanbul Java User Group. The conference helps developers to learn the newest technologies about Java, Web, Mobile, Big DATA, Cloud, DevOps, Agile and Future. Java Day Istanbul also helps developers, tech companies, and startups to establish a good... Continue Reading →
‘Troubleshooting .NET Production problems using AI’ Webinar
The session led by Ram Lakshmanan and Mahesh Devda focuses on utilizing AI to enhance troubleshooting in .NET applications. They emphasize that traditional methods are time-consuming and ineffective. AI-driven approaches streamline the diagnosis of production issues, improve resolution speed, and ultimately protect user experience, revenue, and trust.
Troubleshooting .NET Production problems using AI
.NET powers many critical applications, but troubleshooting its production issues presents challenges. While observability tools identify problems, they often fail to uncover root causes. yCrash enhances troubleshooting by capturing 16 artifacts, predicting outages with micro-metrics, and utilizing advanced analysis to provide detailed insights for effective issue resolution.
“Production is Secure. Is Production Troubleshooting Secure?’ Webinar
Organizations focus on securing production environments but often neglect the security of troubleshooting processes. During incidents, diagnostic artifacts may contain sensitive data, risking exposure when moved across systems. A recent webinar by Ram Lakshmanan highlighted the importance of safeguarding these artifacts, offering strategies to enhance security while ensuring rapid incident recovery.
Production is Secure. Is Troubleshooting Process Secure?
Enterprises have invested heavily in cybersecurity, yet the production troubleshooting process still faces significant risks, including untrusted tools, data leakage, and unauthorized access to sensitive information. The yCrash solution addresses these gaps by securely managing troubleshooting artifacts, implementing robust authentication, and sanitizing data to ensure compliance and protect confidential information.
Securing Production Troubleshooting with yCrash Audit Logs
yCrash has introduced an audit trail feature, addressing enterprise security gaps by logging user actions. This enhancement enables tracking of who accesses sensitive production data, ensuring compliance and accountability. With SSO integration, the logs provide detailed user activity, fostering a culture of security awareness among engineers and improving overall troubleshooting security.
Visualising JVM Metrics Using Prometheus and Grafana
This article provides a comprehensive guide for visualizing Java Virtual Machine (JVM) metrics using Prometheus and Grafana. It explains how to set up the monitoring system, retrieve JVM metrics from applications, and create custom dashboards. The integration enhances problem detection and facilitates quicker resolution, boosting application performance and reliability.
‘Analyzing Application Logs Using AI’ Webinar
In a recent webinar, experts discussed how AI can enhance application log analysis, addressing challenges in manual reviews amidst growing log volumes. Key topics included anomaly detection, error pattern identification, and event correlation across systems, all aimed at accelerating root cause analysis and improving incident response while maintaining engineering judgment.
How ‘yCrash Log’ uses AI & ML?
Application logs are crucial for engineers to troubleshoot production incidents, but manual inspection is often inefficient. The 'yCrash Log' tool utilizes AI and ML to analyze and structure unfiltered log data, identify errors, and provide solutions, improving incident response time and system reliability. It enhances traditional log management by automating root cause analysis.
The Manager’s guide to Memory Analysis: Bridging the Gap between Dev and Ops
The development and operations teams must collaborate effectively to address memory analysis in applications, as it significantly affects performance and customer satisfaction. Tools like yCrash facilitate this by providing insights into memory use, facilitating root cause analysis, and aligning both teams, ultimately enhancing system performance and ROI.