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What is log management? How to tame distributed cloud system complexities

Dynatrace

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events.

Systems 183
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What is application security monitoring?

Dynatrace

Application security monitoring is the practice of monitoring and analyzing applications or software systems to detect vulnerabilities, identify threats, and mitigate attacks. These could include issues with vulnerable and outdated components, injections, and software and data integrity failures.

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Load Management With Istio Using FluxNinja Aperture

DZone

Service meshes are becoming increasingly popular in cloud-native applications as they provide a way to manage network traffic between microservices. Istio, one of the most popular service meshes, uses Envoy as its data plane. This is where Aperture comes in.

Traffic 261
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Key Advantages of DBMS for Efficient Data Management

Scalegrid

Enhanced data security, better data integrity, and efficient access to information. If you’re considering a database management system, understanding these benefits is crucial. Understanding Database Management Systems (DBMS) A Database Management System (DBMS) assists users in creating and managing databases.

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How to achieve the pillars of zero trust at federal agencies

Dynatrace

The OMB memo states that agencies must meet specific goals based on the five pillars of the Cybersecurity and Infrastructure Security Agency (CISA) Zero Trust Maturity Model : identity, devices, networks, applications/workloads, and data. A quick refresher: what is zero trust? Discover more in the latest ebook.

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Log auditing and log forensics benefit from converging observability and security data

Dynatrace

The massive volumes of log data associated with a breach have made cybersecurity forensics a complicated, costly problem to solve. As organizations adopt more cloud-native technologies, observability data—telemetry from applications and infrastructure, including logs, metrics, and traces—and security data are converging.

Analytics 182
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Fortifying Networks: Unlocking the Power of ML, AI, and DL for Anomaly Detection

DZone

Artificial Intelligence: Definition and Practical Applications Artificial intelligence (AI) refers to the development of computer systems that can perform tasks that typically require human intelligence. In the realm of transportation, AI is driving advancements in autonomous vehicles and optimizing traffic flow.