Remove Analytics Remove Efficiency Remove Event Remove Internet
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Dynatrace adds support for AWS Transit Gateway with VPC Flow Logs

Dynatrace

There are five network internet protocol (IP) characteristics that are captured within each of the Transit Gateway Flow Logs for each log source. Automate cloud operations and trigger remediation workflow to enhance efficiency. Problems have defined lifespans and are updated in real time with all incoming events and findings.

AWS 210
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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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How Dynatrace uses Dynatrace to combat the Log4j vulnerability (Log4Shell)

Dynatrace

The vulnerability enables a remote attacker to execute arbitrary code on a service on the internet if the service runs certain versions of Log4j 2. Using details provided by Dynatrace on suspicious events, we performed an extensive analysis of logs for the past weeks to ensure there were no successful attacks on this vulnerability.

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The Next Generation in Logistics Tracking with Real-Time Digital Twins

ScaleOut Software

To keep operations efficient and cost-effective, it’s important to be able to quickly respond to issues as they occur and efficiently verify their resolution. It’s not enough just to pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark.

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The Next Generation in Logistics Tracking with Real-Time Digital Twins

ScaleOut Software

To keep operations efficient and cost-effective, it’s important to be able to quickly respond to issues as they occur and efficiently verify their resolution. It’s not enough just to pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark.

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The Next Generation in Logistics Tracking with Real-Time Digital Twins

ScaleOut Software

To keep operations efficient and cost-effective, it’s important to be able to quickly respond to issues as they occur and efficiently verify their resolution. It’s not enough to just pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark.

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In-Stream Big Data Processing

Highly Scalable

At Grid Dynamics, we recently faced a necessity to build an in-stream data processing system that aimed to crunch about 8 billion events daily providing fault-tolerance and strict transactioanlity i.e. none of these events can be lost or duplicated. High performance and mobility. Pipelining. Lineage Tracking.

Big Data 154