Remove Analytics Remove Speed Remove Systems
article thumbnail

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. The Federal Reserve Regulation HH in the United States focuses on operational resilience requirements for systemically important financial market utilities.

Analytics 289
article thumbnail

Microsoft Ignite 2024 guide: Cloud observability for AI transformation

Dynatrace

The power of cloud observability Modernizing legacy systems can be challenging, and it’s important to do so with purpose—not just to modernize for its own sake. “It’s not the big that will eat the small, it’s the fast that will conquer the slow.” – Jay Snyder, SVP of Partners and Alliances at Dynatrace.

Cloud 263
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

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
article thumbnail

Cut costs and complexity: 5 strategies for reducing tool sprawl with Dynatrace

Dynatrace

Break data silos and add context for faster, more strategic decisions Data silos : When every team adopts their own toolset, organizations wind up with different query technologies, heterogeneous datatypes, and incongruous storage speeds.

Strategy 296
article thumbnail

Helping customers unlock the Power of Possible

Dynatrace

The Dynatrace platform automatically captures and maps metrics, logs, traces, events, user experience data, and security signals into a single datastore, performing contextual analytics through a “power of three AI”—combining causal, predictive, and generative AI. The result?

article thumbnail

The top four log analytics and log management best practices

Dynatrace

By following key log analytics and log management best practices, teams can get more business value from their data. Challenges driving the need for log analytics and log management best practices As organizations undergo digital transformation and adopt more cloud computing techniques, data volume is proliferating.

article thumbnail

Advanced analytics: Leverage edge IoT data with OpenTelemetry and Dynatrace

Dynatrace

Agricultural businesses use IoT sensors to automate irrigation systems, while mining and water supply organizations traditionally rely on SCADA to optimize and monitor water distribution, quality, and consumption. They enable real-time tracking and enhanced situational awareness for air traffic control and collision avoidance systems.

IoT 264