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Six causes of major software outages–And how to avoid them

Dynatrace

They may stem from software bugs, cyberattacks, surges in demand, issues with backup processes, network problems, or human errors. Possible scenarios A retail website crashes during a major sale event due to a surge in traffic. Misconfigured network settings result in lost connectivity, impacting cloud services and online applications.

Software 290
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Leveraging ML-Based Anomaly Detection for 4G Networks Optimization

DZone

Artificial intelligence and machine learning already have some impressive use cases for industries like retail, banking, or transportation. While the technology is far from perfect, the advancements in ML allow other industries to benefit as well.

Network 130
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The new normal of digital experience delivery – lessons learned from monitoring mission-critical websites during COVID-19

Dynatrace

Over the last two month s, w e’ve monito red key sites and applications across industries that have been receiving surges in traffic , including government, health insurance, retail, banking, and media. Retail performance . seconds in one case – and action duration times increased by up to 4,000%. .

Website 278
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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum interconnect is the networking layer of the architecture, and manages communication between the Greenplum segments and master host network infrastructure. If you have mirroring enabled, you must increase your segment hosts in increments of at least two. So, how is this all coordinated? Greenplum Advantages. Machine Learning.

Big Data 321
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Dynatrace and Red Hat expand enterprise observability to edge computing

Dynatrace

As an example, many retailers already leverage containerized workloads in-store to enhance customer experiences using video analytics or streamline inventory management using RFID tracking for improved security. Moreover, edge environments can be highly dynamic, with devices frequently joining and leaving the network.

Retail 306
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Business observability: From IT monitoring to driving digital transformation

Dynatrace

The journey toward business observability Traditional IT monitoring that relies on a multitude of tools to collect, index, and correlate logs from IT infrastructure, networks, applications, and security systems is no longer effective at supporting the need of the wider organization for business insights.

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Causal AI use cases for modern observability that can transform any business

Dynatrace

Most AI today uses association-based machine learning models like neural networks that find correlations and make predictions based on them. Retailers can analyze how factors such as demand, competition, and market trends affect pricing. However, correlation does not imply causation.