Remove Analysis Remove Analytics Remove Internet Remove Traffic
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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. Customers also want to carry out their own analysis tailored to specific use cases and forensic needs. To keep it real, we have a load generator that creates benign traffic.

Analytics 205
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Dynatrace adds support for VPC Flow Logs to Kinesis Data Firehose

Dynatrace

VPC Flow Logs is an Amazon service that enables IT pros to capture information about the IP traffic that traverses network interfaces in a virtual private cloud, or VPC. By default, each record captures a network internet protocol (IP), a destination, and the source of the traffic flow that occurs within your environment.

Traffic 224
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Dynatrace adds support for AWS Transit Gateway with VPC Flow Logs

Dynatrace

VPC Flow Logs is a feature that gives you the capability to capture more robust IP traffic data that traverses your VPCs. There are five network internet protocol (IP) characteristics that are captured within each of the Transit Gateway Flow Logs for each log source. The Dynatrace problem-detection-and-analysis advantage.

AWS 226
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Privacy controls and barriers to session replay

Dynatrace

Session replay is a more visual approach to understanding user behavior compared with traditional analytics tools that focus primarily on bounce rates, conversions, and page views. Most internet users shop online, providing a name, address, and credit card number to complete an order. Consumer data.

Analytics 201
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Observations on the Importance of Cloud-based Analytics

All Things Distributed

Many of these innovations will have a significant analytics component or may even be completely driven by it. For example many of the Internet of Things innovations that we have seen come to life in the past years on AWS all have a significant analytics components to it. Cloud analytics are everywhere.

Analytics 135
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Kubernetes vs Docker: What’s the difference?

Dynatrace

This opens the door to auto-scalable applications, which effortlessly matches the demands of rapidly growing and varying user traffic. Just as people use Xerox as shorthand for paper copies and say “Google” instead of internet search, Docker has become synonymous with containers. Event logs for ad-hoc analysis and auditing.

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Implementing service-level objectives to improve software quality

Dynatrace

First, it helps to understand that applications and all the services and infrastructure that support them generate telemetry data based on traffic from real users. Establish realistic SLO targets based on statistical and probabilistic analysis. So how can teams start implementing SLOs? Define an application’s critical path.

Software 273