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Dynatrace Perform 2024 Guide: Deriving business value from AI data analysis

Dynatrace

AI data analysis can help development teams release software faster and at higher quality. AI-enabled chatbots can help service teams triage customer issues more efficiently. A key theme at Dynatrace Perform 2024 is the need for AI observability and AI data analysis to minimize the potential for skyrocketing AI costs.

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Perform 2023 Guide: Organizations mine efficiencies with automation, causal AI

Dynatrace

Data proliferation—as well as a growing need for data analysis—has accelerated. They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. That’s where a data lakehouse can help.

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State and local agencies speed incident response, reduce costs, and focus on innovation

Dynatrace

Critical application outages negatively affect citizen experience and are costly on many fronts, including citizen trust, employee satisfaction, and operational efficiency. With constraints on IT resources, downtime shifts staff away from innovation and other strategic work.

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Dynatrace log collection for ARM unlocks power-efficient architecture for your enterprise

Dynatrace

This growth was spurred by mobile ecosystems with Android and iOS operating systems, where ARM has a unique advantage in energy efficiency while offering high performance. Energy efficiency and carbon footprint outshine x86 architectures The first clear benefit of ARM in the enterprise IT landscape is energy efficiency.

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Key Advantages of DBMS for Efficient Data Management

Scalegrid

Enhanced data security, better data integrity, and efficient access to information. Despite initial investment costs, DBMS presents long-term savings and improved efficiency through automated processes, efficient query optimizations, and scalability, contributing to enhanced decision-making and end-user productivity.

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What are quality gates? How to use quality gates to deliver better software at speed and scale

Dynatrace

This approach supports innovation, ambitious SLOs, DevOps scalability, and competitiveness. The agency can also efficiently compare the newest version of Easytravel against previous versions of the software with regression testing facilitated by SRG. The passing threshold is anything below 50 ms. The warning threshold is 50-60 ms.

Speed 196
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Data lakehouse innovations advance the three pillars of observability for more collaborative analytics

Dynatrace

As teams try to gain insight into this data deluge, they have to balance the need for speed, data fidelity, and scale with capacity constraints and cost. In most cases, especially with more complex queries, Grail gives you answers at five to 100 times more speed than any other database you can use right now.”

Analytics 176