Remove Airlines Remove Availability Remove Efficiency
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OpenPipeline: Simplify access to critical business data

Dynatrace

Monitor and optimize business processes with real-time visibility into process KPIs and detailed analytics for each step to improve customer satisfaction, increase operational efficiency, and reduce cost. Simplified and enhanced analytics efficiency. Reduced storage and query overhead for business use cases.

Analytics 241
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IT carbon footprint: Dynatrace Carbon Impact and Optimization app helps organizations measure cloud computing carbon footprint

Dynatrace

As global warming advances, growing IT carbon footprints are pushing energy-efficient computing to the top of many organizations’ priority lists. Energy efficiency is a key reason why organizations are migrating workloads from energy-intensive on-premises environments to more efficient cloud platforms.

Energy 264
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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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CrowdStrike update crisis: How Dynatrace helped customers recover in hours

Dynatrace

Together, these technologies enable organizations to maintain real-time visibility and control, swiftly mitigating the impact of incidents and efficiently restoring critical services. It allows users to chain commands together to filter, manipulate, and analyze data efficiently. Before a crisis. During a crisis.

Airlines 258
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From observability to sustainability: Reduce your IT carbon footprint with Dynatrace Carbon Impact

Dynatrace

Cloud computing has a greater carbon footprint than the airline industry. As cloud providers decarbonize their data centers, or as you move your workloads to more carbon-efficient locations, the slope of the carbon emission trajectory should change to illustrate the impact. Average cloud server idle time exceeds 70%.

Energy 260
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Predictive CPU isolation of containers at Netflix

The Netflix TechBlog

Optimizing placements through combinatorial optimization What the OS task scheduler is doing is essentially solving a resource allocation problem: I have X threads to run but only Y CPUs available, how do I allocate the threads to the CPUs to give the illusion of concurrency? It has 8 physical hyperthreaded cores, split on 2 NUMA sockets.

Cache 258
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Would Uber be so intriguing if we thought of it as the next American Airlines?

The Agile Manager

Suppose for a minute that self-driving cars become commercially available. This creates an opportunity to squeeze more efficiency out of the fleet. The auto fleet operator - now an "asset sharing" company of assets it doesn't own, but rents - cannot compete for long solely on efficient dispatching and high asset utilization.