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Driving your FinOps strategy with observability best practices

Dynatrace

In response, many organizations are adopting a FinOps strategy. 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. Unnecessary data transfer. On-demand payment agreement.

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Mastering Hybrid Cloud Strategy

Scalegrid

Mastering Hybrid Cloud Strategy Are you looking to leverage the best private and public cloud worlds to propel your business forward? A hybrid cloud strategy could be your answer. Understanding Hybrid Cloud Strategy A hybrid cloud merges the capabilities of public and private clouds into a singular, coherent system.

Strategy 130
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Pivoting to a total experience strategy: A necessity for governments today

Dynatrace

Citizens need seamless digital experiences, which is why the concept of a total experience (TX) strategy is gaining traction among government institutions. A TX strategy is an innovative approach that seeks to overhaul the traditional paradigms of public service delivery. Everything impacts and influences each other.

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Plan Your Multi Cloud Strategy

Scalegrid

A well-planned multi cloud strategy can seriously upgrade your business’s tech game, making you more agile. Key Takeaways Multi-cloud strategies have become increasingly popular due to the need for flexibility, innovation, and the avoidance of vendor lock-in. Thinking about going multi-cloud?

Strategy 130
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The 3 Stages of an Effective Test Data Strategy

DZone

However, providing testers with the right test data remains a major bottleneck. Many organizations have turned to test data virtualization and synthetic data generation tools to help alleviate these test data challenges.

Strategy 130
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Why growing AI adoption requires an AI observability strategy

Dynatrace

An AI observability strategy—which monitors IT system performance and costs—may help organizations achieve that balance. Running artificial intelligence models and querying data requires massive amounts of computational resources in the cloud, which results in higher cloud costs. AI performs frequent data transfers.

Strategy 219
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Cutting Big Data Costs: Effective Data Processing With Apache Spark

DZone

In today's data-driven world, efficient data processing plays a pivotal role in the success of any project. Apache Spark , a robust open-source data processing framework, has emerged as a game-changer in this domain.

Big Data 269