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IT modernization improves public health services at state human services agencies

Dynatrace

Upgrades and modifications, if available, are complex and expensive, so it isn’t easy to keep them secure and functional. Dynatrace provides analytics and automation for unified observability and security. Both can result in lost productivity for IT teams and staff in the field.

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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. Evaluate effectiveness after implementation with analytics and regular reports. Select which pages on a site are appropriate for session replay scripts.

Analytics 191
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What is artificial intelligence? See how it differs from machine learning in IT ops

Dynatrace

Therefore, organizations are increasingly turning to artificial intelligence and machine learning technologies to get analytical insights from their growing volumes of data. AI applies advanced analytics and logic-based techniques to interpret data and events, support and automate decisions, and even take intelligent actions.

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Sustainable IT: Optimize your hybrid-cloud carbon footprint

Dynatrace

For a deeper look into these and many other recommendations, my colleagues and I wrote an eBook about performance and scalability on the topic. Implement appropriate caching layers (for example, read-only cache for static data). Implement intelligent retry and failover processes. We encourage you to take a look. Want to learn more?

Cloud 208
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What is IT operations analytics? Extract more data insights from more sources

Dynatrace

With 99% of organizations using multicloud environments , effectively monitoring cloud operations with AI-driven analytics and automation is critical. IT operations analytics (ITOA) with artificial intelligence (AI) capabilities supports faster cloud deployment of digital products and services and trusted business insights.

Analytics 187
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The top four log analytics and log management best practices

Dynatrace

By following key log analytics and log management best practices, teams can get more business value from their data. Challenges driving the need for log analytics and log management best practices As organizations undergo digital transformation and adopt more cloud computing techniques, data volume is proliferating.

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How platform engineering and IDP observability can accelerate developer velocity

Dynatrace

Observability is not only about measuring performance and speed, but also about capturing granular business analytics to support data-driven decision-making. “That means making it available, resilient, and secure,” Grabner said. Dynatrace has made the reference IDP architecture available on GitHub for anyone to use.