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What is application security monitoring?

Dynatrace

With the pace of digital transformation continuing to accelerate, organizations are realizing the growing imperative to have a robust application security monitoring process in place. What are the goals of continuous application security monitoring and why is it important?

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Dynatrace extends contextual analytics and AIOps for open observability

Dynatrace

The complexity of such deployments has accelerated with the adoption of emerging, open-source technologies that generate telemetry data, which is exploding in terms of volume, speed, and cardinality. Dynatrace extends its unique topology-based analytics and AIOps approach.

Analytics 246
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TTP-based threat hunting with Dynatrace Security Analytics and Falco Alerts solves alert noise

Dynatrace

In this blog post, we’ll use Dynatrace Security Analytics to go threat hunting, bringing together logs, traces, metrics, and, crucially, threat alerts. Likewise, operation specialists can prioritize their efforts on monitoring the highest-risk tactics, and executives can better communicate the business risk.

Analytics 194
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Visualizing IoT Data With MQTT, QuestDB, and Grafana

DZone

Monitoring Time-Series IoT Device Data Time-series data is crucial for IoT device monitoring and data visualization in industries such as agriculture, renewable energy, and meteorology. It enables trend analysis, anomaly detection, and predictive analytics, empowering businesses to optimize performance and make data-driven decisions.

IoT 241
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AWS observability: AWS monitoring best practices for resiliency

Dynatrace

These resources generate vast amounts of data in various locations, including containers, which can be virtual and ephemeral, thus more difficult to monitor. These challenges make AWS observability a key practice for building and monitoring cloud-native applications. AWS monitoring best practices. Automate monitoring tasks.

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OpenTelemetry logs in Grail unlock full observability

Dynatrace

Dynatrace has supported the OpenTelemetry project for years as a key contributor and contributed to its rise to a popular open source observability framework for cloud-native software. By ingesting OTLP logs into Dynatrace, you can utilize the Grail™ data lakehouse and its massively-parallel processing analytics engine.

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Enhanced AI model observability with Dynatrace and Traceloop OpenLLMetry

Dynatrace

Data quality and drift: Monitoring the quality and characteristics of training and runtime data to detect significant changes that might impact model accuracy. OpenLLMetry, an open source SDK built on OpenTelemetry, offers standardized data collection for AI Model observability.