DCX Edge Sensor - Release 1.1.30
Release Notes for DCX Edge Sensor
Version 1.1.30
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Added Health Checks
Implemented health checks to continuously monitor the status of services, ensuring they are running optimally and detecting issues proactively. -
Integrated Passive Scanning
We use passive scanning techniques to monitor active conversations between devices within network, enabling us to discover a higher percentage of assets. This approach also helps to pinpoint and surface hidden connections that may exist in rogue networks, all in real-time.. -
Active Scanning Capabilities
We perform active scanning to proactively detect devices that may not have been initially discovered but are active within the network. This dual approach ensures we first capture what is actively transmitting on the network and then we scan everything else, providing the most complete picture possible. -
Multithreaded Scanning Processes
Enhanced scanning efficiency by enabling multithreading, allowing for faster completion of scans and better resource utilization. -
Resolved Disk Consumption Issues
Fixed bugs related to excessive disk usage, optimizing storage consumption and preventing potential outages due disk space constraints. -
Resource Usage Monitoring
Added the ability to monitor CPU, memory, and disk usage, providing insights into system performance and aiding in capacity planning. -
Implemented MQTT and HTTP Messaging
Integrated MQTT and HTTP messaging protocols for edge-cloud-edge communication, improving messaging reliability and flexibility. -
Advanced Monitoring Features
Upgraded monitoring tools to provide more detailed analytics and reporting on system health and security events. -
Fixed Messaging Bugs
Resolved issues causing message delivery failures to ensure reliable communication between system components. -
Improved Provisioning Logging
Modified logging during provisioning to include more detailed information, assisting in troubleshooting and audit trails. -
CI/CD Pipelines for Base and Main Images
Established continuous integration and deployment pipelines for both base and main Docker images, streamlining development and deployment processes. -
Device State Management
Implemented device state tracking to monitor the status and health of deployed containers within the network, enhancing management capabilities.