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Driving your FinOps strategy with observability best practices

Dynatrace

Following FinOps practices, engineering, finance, and business teams take responsibility for their cloud usage, making data-driven spending decisions in a scalable and sustainable manner. Empowering teams to manage their FinOps practices, however, requires teams to have access to reliable multicloud monitoring and analysis data.

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Designing Edge Gateway, Uber’s API Lifecycle Management Platform

Uber Engineering

The making of Edge Gateway, the highly-available and scalable self-serve gateway to configure, manage, and monitor APIs of every business domain at Uber. Evolution of Uber’s API gateway.

Design 144
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Sustainable IT: Optimize your hybrid-cloud carbon footprint

Dynatrace

Evaluating these on three levels—data center, host, and application architecture (plus code)—is helpful. Options at each level offer significant potential benefits, especially when complemented by practices that influence the design and purchase decisions made by IT leaders and individual contributors. Can we shut it down?”

Cloud 209
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Artificial Intelligence in Cloud Computing

Scalegrid

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. Exploring artificial intelligence in cloud computing reveals a game-changing synergy.

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Pioneering customer-centric pricing models: Decoding ingest-centric vs. answer-centric pricing

Dynatrace

The rise of cloud-native microservice architectures further exacerbates this change. What stands out as an imperative now is the urgent need for vendors to shift their focus back to customers and resist the temptation to capitalize on the growing demand for extensive data management and monitoring in complex IT environments.

Retail 237
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Plan Your Multi Cloud Strategy

Scalegrid

They’re your roadmap to linking cloud moves with real business outcomes, helping you monitor progress. This process thoroughly assesses factors like cost-effectiveness, security measures, control levels, scalability options, customization possibilities, performance standards, and availability expectations.

Strategy 130
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Boost DevOps maturity with observability and a data lakehouse

Dynatrace

DevOps maturity is a model that measures the completeness and effectiveness of an organization’s processes for software development, delivery, operations, and monitoring. Research has found that 99% of organizations have embraced a multicloud architecture. What is DevOps maturity?

DevOps 184