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AWS re:Invent 2023 guide: Generative AI takes a front seat

Dynatrace

At the AWS re:Invent 2023 conference, generative AI is a centerpiece. What’s more, in the McKinsey report “ The State of AI 2023 ,” 40% of respondents say their organizations will increase their overall AI investment because of advances in generative AI. Today’s IT organizations face unprecedented challenges.

AWS 214
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Why growing AI adoption requires an AI observability strategy

Dynatrace

AI requires more compute and storage. Training AI data is resource-intensive and costly, again, because of increased computational and storage requirements. As a result, AI observability supports cloud FinOps efforts by identifying how AI adoption spikes costs because of increased usage of storage and compute resources.

Strategy 227
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MongoDB Database Backup: Best Practices & Expert Tips

Percona

This blog was originally published in September 2020 and was updated in May 2023. That’s why it’s essential to implement the best practices and strategies for MongoDB database backups. Percona Backup for MongoDB is an uncomplicated command-line tool by design that lends itself well to backing up larger data sets.

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Sustainability Talks and Updates from AWS re:Invent 2023

Adrian Cockcroft

In their annual sustainability report in July 2023 AWS did update their list of sustainable regions to highlight 19 regions that are 100% sustainable — using an annual local market methodology for scope 1 and 2. This session revisits the pillar and its best practices.

AWS 52
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A Tutorial on MongoDB Sharding With Best Practices & When To Enable It

Percona

This blog was originally published in October 2017 and was updated in September 2023. To address these challenges, architects must design robust and scalable MongoDB databases and adopt appropriate sharding strategies that can efficiently handle increasing workloads while ensuring continuous availability.

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Cloud Native Predictions for 2024

Percona

As we at Percona wind down 2023 and look into what the next year holds, our attention is drawn to the cloud-native landscape and how it is maturing, growing, and evolving. KubeCon NA 2023 recap The theme for KubeCon NA was very clear — AI and Large Language Models (LLMs). We expect that number to rise higher in 2024.

Cloud 77
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Dynatrace Perform 2024 Guide: Deriving business value from AI data analysis

Dynatrace

In 2023, organizations mostly used these services as a technology disruptor and capability enabler. Edge computing brings compute and data storage closer to where data is generated to help reduce costs, boost performance, and improve customer experience. But by 2028, these cloud-based services will be a business necessity.