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Rider 2026.2.3 发布!

Rider 2026.2.3 发布,新增 AI 性能分析功能:在 Monitoring 工具窗口使用“Analyze with AI”让 AI 代理调查应用性能、定位瓶颈并关联代码,需 Windows、dotUltimate 或 All Products Pack 及 AI Assistant 插件。同时修复了 Windows 显示缩放低于 175% 时 AI Agent Setup 小部件无法打开的问题。

Rider 2026.2.3 发布!

The JetBrains Blog The JetBrains Blog · 2026-09-28T12:25:44Z

In modern application development, observability is no longer optional. It is a core requirement for stable operations, faster troubleshooting, and better understanding of system behavior....

A New Era of MySQL Monitoring: OpenTelemetry Metrics with Prometheus

Planet MySQL Planet MySQL · 2026-05-07T01:58:47Z

Grafana Labs has released version 4 of its Kubernetes Monitoring Helm chart, describing it as the most significant update the chart has received since its introduction. The release, announced in...

Grafana's Kubernetes Monitoring Helm Chart v4 Brings Multiple Fixes

InfoQ InfoQ · 2026-05-06T07:00:00Z

Monitoring MySQL data locks, or the tip of the iceberg This story is about recent (*) performance improvements implemented in MySQL, related to monitoring of data locks. (*) Originally written in...

Monitoring MySQL data locks, or the tip of the iceberg

Planet MySQL Planet MySQL · 2026-04-15T13:13:51Z

MySQL observability is essential in modern enterprises, whether you run a few critical databases or operate at massive scale. With the right real‑time monitoring, teams reduce MTTD/MTTR, avoid...

Unified MySQL Monitoring Across HeatWave and On-Prem with Grafana Dashboard

Planet MySQL Planet MySQL · 2026-03-26T15:32:01Z

AutoOps: Simple Elasticsearch cluster monitoring and management now available on-prem

Elastic Blog - Elasticsearch, Kibana, and ELK Stack Elastic Blog - Elasticsearch, Kibana, and ELK Stack · 2025-10-01T00:00:00Z

MySQL HeatWave on AWS extends its monitoring capabilities by integrating with Amazon CloudWatch, allowing you to view many additional metrics and track its history over time.

Monitoring MySQL HeatWave on AWS: From Console to CloudWatch

Planet MySQL Planet MySQL · 2025-09-23T17:29:00Z
测量服务响应时间和延迟:如何在Grafana Cloud Synthetic Monitoring中执行TCP检查

Grafana Cloud Synthetic Monitoring通过TCP检查监测数据库、邮件和FTP服务器的性能,确保服务可用性,快速诊断网络问题,提升用户体验。

测量服务响应时间和延迟:如何在Grafana Cloud Synthetic Monitoring中执行TCP检查

engineering on Grafana Labs engineering on Grafana Labs · 2025-09-09T00:00:00Z

Monitoring MySQL HeatWave Replication Using OCI Database Management Custom Alarms

Monitoring MySQL HeatWave Replication Using OCI Database Management Custom Alarms

Planet MySQL Planet MySQL · 2025-08-08T04:16:00Z

We're now expanding OCI Database Management capabilities with a new set of enhanced monitoring features - designed to reduce operational burden on DBAs and developers, strengthen observability,...

New Monitoring Capabilities for MySQL in OCI Database Management

Planet MySQL Planet MySQL · 2025-07-09T23:49:00Z
Grafana安全更新:针对Grafana Image Renderer插件和Synthetic Monitoring Agent中CVE-2025-5959、CVE-2025-6554、CVE-2025-6191和CVE-2025-6192的关键严重性安全发布

Grafana发布了针对Chromium库的四个关键漏洞(如CVE-2025-5959)的更新,建议用户尽快升级Grafana Image Renderer和Synthetic Monitoring Agent,相关补丁已应用于Grafana Cloud。

Grafana安全更新:针对Grafana Image Renderer插件和Synthetic Monitoring Agent中CVE-2025-5959、CVE-2025-6554、CVE-2025-6191和CVE-2025-6192的关键严重性安全发布

engineering on Grafana Labs engineering on Grafana Labs · 2025-07-02T00:00:00Z

本研究提出了一种混合自适应建模方法,结合序列编码器和物理引导神经网络,解决了传统模型在参数和条件变化时需重新训练的问题。该方法在动态系统的实时监测中表现出色,具有重要的应用潜力。

Hybrid Adaptive Modeling in Process Monitoring: Leveraging Sequence Encoders and Physics-Informed Neural Networks

BriefGPT - AI 论文速递 BriefGPT - AI 论文速递 · 2025-05-20T00:00:00Z

本研究提出了一种增量不确定性意识性能监控(IUPM)方法,旨在解决机器学习模型在渐进分布漂移下的监控问题。实验结果表明,IUPM在多种场景中优于现有方法,能够更有效地指导标注获取。

Incremental Performance Monitoring with Uncertainty Awareness and Active Labeling Interventions

BriefGPT - AI 论文速递 BriefGPT - AI 论文速递 · 2025-05-11T00:00:00Z

本研究利用光学哨兵-2卫星影像和机器学习模型,监测外源有机物施用对土壤和作物健康的影响,展示了遥感技术在精细农业中的应用潜力。

Monitoring the Application of Digestate on Agricultural Crops Using Sentinel-2 Satellite Imagery

BriefGPT - AI 论文速递 BriefGPT - AI 论文速递 · 2025-04-28T00:00:00Z

本研究提出了一种基于零-shot学习的自动化道路铺装监测方法,利用大语言模型,克服了传统人工检测的主观性和机器学习对高质量标注数据的依赖。实验结果显示,该方法在道路状况评估方面优于专家评价,具有城市应用潜力。

Application of Zero-Shot Image-Based Large Language Models in Road Pavement Monitoring

BriefGPT - AI 论文速递 BriefGPT - AI 论文速递 · 2025-04-09T00:00:00Z

本研究提出了RipVIS,一个大规模视频实例分割基准,解决了潮流识别中的数据不足问题,显著提升了分割性能,促进了海滩安全环境的建设。

RipVIS: A Benchmark for Video Instance Segmentation of Currents for Beach Monitoring and Safety

BriefGPT - AI 论文速递 BriefGPT - AI 论文速递 · 2025-04-01T00:00:00Z

本研究提出了一种名为Horcrux的谱图增强方法,旨在解决雷达健康监测中的数据稀缺问题。该方法通过增加样本多样性并保持谱图真实性,显著提升心脏监测性能,整体提升幅度达到16.20%。

Recover from Horcrux: A Spectrogram Augmentation Method for Cardiac Feature Monitoring from Radar Signal Components

BriefGPT - AI 论文速递 BriefGPT - AI 论文速递 · 2025-03-25T00:00:00Z

本研究提出了一种基于姿态估计的跌倒检测系统,旨在提高辅助生活机构中老年居民的安全性。该系统无需额外传感器,能够在标准CPU上实时区分跌倒与非跌倒活动,显著降低误报率并保持高准确性。

Pose-Based Fall Detection System: Efficient Monitoring on Standard CPUs

BriefGPT - AI 论文速递 BriefGPT - AI 论文速递 · 2025-03-25T00:00:00Z
使用cdk-monitoring-constructs进行DynamoDB监控

监控DynamoDB至关重要,使用CDK监控组件可通过代码轻松设置监控,确保及时报警,优化性能,减少故障。

使用cdk-monitoring-constructs进行DynamoDB监控

DEV Community DEV Community · 2025-03-24T22:41:26Z

STShield是一种创新的单标记哨兵机制,旨在实时监测大型语言模型的越狱攻击。该方法通过在模型响应中附加安全指示符,利用模型的对齐能力进行检测。研究表明,STShield在保持模型实用性的同时,有效防御多种越狱攻击,具备优越的防御性能和较低的计算开销,适合实际部署。

STShield: Single-Token Sentinel for Real-Time Monitoring of Jailbreak Attacks on Large Language Models

BriefGPT - AI 论文速递 BriefGPT - AI 论文速递 · 2025-03-23T00:00:00Z
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