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IT teams seek observability for, and control over, serverless architecture

Dynatrace

Key takeaways from this article on modern observability for serverless architecture: As digital transformation accelerates, organizations need to innovate faster and continually deliver value to customers. Companies often turn to serverless architecture to accelerate modernization efforts while simplifying IT management.

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RSA guide 2024: AI and security are top concerns for organizations in every industry

Dynatrace

As more organizations adopt generative AI and cloud-native technologies, IT teams confront more challenges with securing their high-performing cloud applications in the face of expanding attack surfaces. As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks.

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Cloud cost optimization: Dynatrace helps organizations manage cloud cost

Dynatrace

Business innovation costs money. But organizations may not always have insight into how their moves toward innovation generate costs as well as revenue. For example, a CNBC report found that training just one LLM can cost millions of dollars, and then millions more to update. Architecture. Utilization.

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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. Augmenting LLM input in this way reduces apparent knowledge gaps in the training data and limits AI hallucinations. RAG augments user prompts with relevant data retrieved from outside the LLM.

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Ingesting JMeter, temperature and humidity metrics: A Dynatrace innovation day report

Dynatrace

In this blog, I want to give you two examples of internal innovation projects at Dynatrace which leverage this new API, to truly show you the power – and the fun-ness of this new metric ingest ??. All your JMeter results in Dynatrace for better performance engineering. So stay tuned.

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For your eyes only: improving Netflix video quality with neural networks

The Netflix TechBlog

While conventional video codecs remain prevalent, NN-based video encoding tools are flourishing and closing the performance gap in terms of compression efficiency. Architecture of the deep downscaler model, consisting of a preprocessing block followed by a resizing block. Left: Lanczos downscaling; right: deep downscaler.

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Modern observability platform is onramp to digital transformation: Dynatrace Perform 2022, reporter’s notebook

Dynatrace

Dynatrace CEO Rick McConnell at Perform 2022 in Las Vegas. Today, businesses are racing ever faster to accommodate customer demands and innovate without sacrificing product quality or security. A truly self-driving car constantly and continuously senses its environment,” said Mike Maciag, chief marketing officer, at Perform 2022.