Architecture Infrastructure Processing Training 
Dynatrace
JANUARY 31, 2022
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.
Dynatrace
JANUARY 31, 2024
Retrieval-augmented generation emerges as the standard architecture for LLM-based applications Given that LLMs can generate factually incorrect or nonsensical responses, retrieval-augmented generation (RAG) has emerged as an industry standard for building GenAI applications.
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Dynatrace
MAY 2, 2024
Additionally, blind spots in cloud architecture are making it increasingly difficult for organizations to balance application performance with a robust security posture. As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks.
Dynatrace
JANUARY 4, 2024
While this approach can be effective if the model is trained with a large amount of data, even in the best-case scenarios, it amounts to an informed guess, rather than a certainty. Because IT systems change often, AI models trained only on historical data struggle to diagnose novel events. That’s where causal AI can help.
Dynatrace
FEBRUARY 1, 2024
For example, a CNBC report found that training just one LLM can cost millions of dollars, and then millions more to update. Every dollar we spend on cloud [infrastructure] is a dollar less we can spend on innovation and customer experience,” said Matthias Dollentz-Scharer, Dynatrace chief customer officer. Architecture.
Dynatrace
FEBRUARY 23, 2022
DevSecOps teams can address this unsettling tradeoff by automating processes throughout the SDLC, centralizing application configuration with a shared set of tools, and using observability platforms to gain visibility into code-quality lapses, security gaps, and other software development issues.
The Netflix TechBlog
NOVEMBER 17, 2022
A distinct, NN-based, video processing block can evolve independently, be used beyond video downscaling and be combined with different codecs. Our approach to NN-based video downscaling The deep downscaler is a neural network architecture designed to improve the end-to-end video quality by learning a higher-quality video downscaler.
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