Remove Infrastructure Remove Innovation Remove Tuning
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New integrations announced at AWS re:Invent enhance cloud performance, security, and automation

Dynatrace

These innovations promise to streamline operations, boost efficiency, and offer deeper insights for enterprises using AWS services. This seamless integration accelerates cloud adoption, allowing enterprises to maximize the value of their AWS infrastructure and focus on innovation rather than managing observability configurations.

AWS 298
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Foundation Model for Personalized Recommendation

The Netflix TechBlog

Furthermore, it was difficult to transfer innovations from one model to another, given that most are independently trained despite using common data sources. It facilitates the distribution of these learnings to other models, either through shared model weights for fine tuning or directly through embeddings.

Tuning 200
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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 ??. So stay tuned. The idea was inspired by an innovation day project of our lab in Klagenfurt. Goal: sending metrics to Dynatrace.

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Dynatrace innovates again with the release of topology-driven auto-adaptive metric baselines

Dynatrace

Today we’re happy to announce, that with the release of Dynatrace version 1.198 (SaaS and Managed), auto-adaptive baseline extends beyond application performance (APM) metrics to include thousands of infrastructure and cloud metrics as well. AI-powered root cause analysis via auto-adaptive baselines for more than classic APM metrics.

Metrics 277
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Data lakehouse innovations advance the three pillars of observability for more collaborative analytics

Dynatrace

Metrics on Grail “Metrics are probably the best understood data type in observability ,” says Guido Deinhammer, CPO of infrastructure monitoring at Dynatrace. Distributed traces are the path of a transaction as it touches applications, services, and infrastructure from beginning to end.

Analytics 246
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Title Launch Observability at Netflix Scale

The Netflix TechBlog

This approach provides a few advantages: Low burden on existing systems: Log processing imposes minimal changes to existing infrastructure. Stay tuned for a closer look at the innovation behind thescenes! This allows us to focus on data analysis and problem-solving rather than managing complex systemchanges.

Traffic 172
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Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and…

The Netflix TechBlog

Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and Efficiency By: Di Lin , Girish Lingappa , Jitender Aswani Imagine yourself in the role of a data-inspired decision maker staring at a metric on a dashboard about to make a critical business decision but pausing to ask a question?—?“Can come join us.