July 2024 Summaries

Coralogix has introduced a Mobile Real User Monitoring (RUM) solution designed to enhance user experience by identifying and rectifying errors in mobile applications across various platforms such as iOS, Android, Flutter, and React Native. This tool enables developers to detect errors quickly, providing insights into error frequency, types, and their impact on app stability. Errors are categorized into crash errors, exceptions, network issues, and custom errors, allowing for targeted troubleshooting. The solution offers features like the Drill-Down feature for detailed error analysis and the Live Tail view for real-time monitoring. When used alongside Coralogix's Application Performance Monitoring (APM), it provides a comprehensive view of app performance from both front-end and back-end perspectives, ensuring a seamless user experience. Coralogix aims to support the ongoing maintenance of high-performing, reliable mobile applications with future updates and enhancements to their RUM solution.

In the context of growing online transactions, compliance with the Payment Card Industry Data Security Standard (PCI DSS) is critical for securing payment data, especially with the increasing shift to cloud services like AWS, Azure, and GCP. PCI DSS outlines 12 core requirements to ensure the safe handling of cardholder data, and solutions like Security Information and Event Management (SIEM) and Cloud Security Posture Management (CSPM) are essential for maintaining compliance by monitoring security threats and ensuring strong cloud security postures. Coralogix, through its Managed Detection and Remediation (MDR) offerings, provides comprehensive tools and services, such as continuous monitoring, detection rules, and compliance support, to help organizations meet PCI DSS requirements. These solutions ensure robust network security controls, data protection, access restrictions, and consistent monitoring and auditing of network resources, making them indispensable in the era of widespread cloud adoption.

Observability costs are rising significantly as businesses seek to maintain high performance and availability, with global annual spending expected to reach 4.1 billion USD by 2028. The increase in costs is driven by the complexity of digital environments, the proliferation of microservices, ephemeral servers, and the use of chaos engineering. To manage these expenses, companies can adopt a DIY observability framework that categorizes data based on usage, limits data indexing to frequently searched information, and routes data to appropriate storage solutions. This approach minimizes unnecessary data generation and converts logs to metrics to reduce storage costs. Alternatively, organizations may consider off-the-shelf observability solutions, but should carefully assess vendors' cost optimization tools and pricing models to avoid unnecessary expenses.