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New continuous compliance requirements drive the need to converge observability and security

Dynatrace

Leverage AI for proactive protection: AI and contextual analytics are game changers, automating the detection, prevention, and response to threats in real time. UMELT are kept cost-effectively in a massive parallel processing data lakehouse, enabling contextual analytics at petabyte scale, fast.

Analytics 289
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What is security analytics?

Dynatrace

As a result, organizations are implementing security analytics to manage risk and improve DevSecOps efficiency. Fortunately, CISOs can use security analytics to improve visibility of complex environments and enable proactive protection. What is security analytics? Why is security analytics important? Here’s how.

Analytics 264
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How unified data and analytics offers a new approach to software intelligence

Dynatrace

IT pros want a data and analytics solution that doesn’t require tradeoffs between speed, scale, and cost. With a data and analytics approach that focuses on performance without sacrificing cost, IT pros can gain access to answers that indicate precisely which service just went down and the root cause.

Analytics 246
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Transform data into insights with Dynatrace Dashboards and Notebooks

Dynatrace

Our latest enhancements to the Dynatrace Dashboards and Notebooks apps make learning DQL optional in your day-to-day work, speeding up your troubleshooting and optimization tasks. These ready-made dashboards offer your platform engineers, who oversee Kubernetes environments, immediate and comprehensive data visibility.

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Advanced analytics: Leverage edge IoT data with OpenTelemetry and Dynatrace

Dynatrace

Critical data includes the aircraft’s ICAO identifier , squawk code, flight callsign, position coordinates, altitude, speed, and the time since the last message was received. This information is essential for later advanced analytics and aircraft tracking. Sample JSON data is shown below: Figure 4.

IoT 264
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Unlock the Power of DevSecOps with Newly Released Kubernetes Experience for Platform Engineering

Dynatrace

Platform engineering is on the rise. According to leading analyst firm Gartner, “80% of software engineering organizations will establish platform teams as internal providers of reusable services, components, and tools for application delivery…” by 2026. Automation, automation, automation.

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AI techniques enhance and accelerate exploratory data analytics

Dynatrace

In a digital-first world, site reliability engineers and IT data analysts face numerous challenges with data quality and reliability in their quest for cloud control. Increasingly, organizations seek to address these problems using AI techniques as part of their exploratory data analytics practices. Discovery using global search.

Analytics 246