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Leveraging ML-Based Anomaly Detection for 4G Networks Optimization

DZone

While the technology is far from perfect, the advancements in ML allow other industries to benefit as well. Improving 4G Networks Traffic Distribution With Anomaly Detection Previous generations of cellular networks were not very efficient with the distribution of network resources, providing coverage evenly for all territories all the time.

Network 130
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Istio vs. Linkerd: The Best Service Mesh for 2023

DZone

Introduction to Service Mesh A service mesh is an infrastructure layer to abstract network and security from applications for better manageability and implementation. Service mesh helps simplify the growing network complexities of distributed applications across cloud and container technologies.

Traffic 193
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It’s time to migrate from NAM to Dynatrace

Dynatrace

For two decades, Dynatrace NAM—Network Application Monitoring, formerly known as DC RUM—has been successfully monitoring the user experience of our customers’ enterprise applications. SNMP managed the costs of network links well, but not the sources of those costs (i.e., Dynatrace news. Performance has always mattered.

Network 165
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Dynatrace Application Security detects and blocks attacks automatically in real-time

Dynatrace

Cloud-native technologies, including Kubernetes and OpenShift, help organizations accelerate innovation and drive agility. WAFs protect the network perimeter and monitor, filter, or block HTTP traffic. Compared to intrusion detection systems (IDS/IPS), WAFs are focused on the application traffic. Dynatrace news.

Traffic 231
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New Network Fallacies

Tim Kadlec

” The fallacy of networks, or new devices for that matter, fixing our performance woes is old and repetitive. To be fair, each new generation of network connectivity does bring some level of change and transformation to how we interact with the internet. The fastest 4G network clocks in around 10 Mbps, and the slowest around 6.3

Network 61
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Site reliability done right: 5 SRE best practices that deliver on business objectives

Dynatrace

The growing amount of data processed at the network edge, where failures are more difficult to prevent, magnifies complexity. It detects regressions and deviations from previously observed behavior across metrics such as latency, traffic, error rates, saturation, security coverage, vulnerability risk levels, and memory consumption.

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How digital experience monitoring helps deliver business observability

Dynatrace

Digital experience monitoring is the practice of using tools and technologies to gather and evaluate metrics as a customer navigates an application to determine the quality of a user’s interaction with its digital touchpoints. What is digital experience monitoring? Primary digital experience monitoring tools. Endpoint monitoring (EM).