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2. Diving Deeper into Psyberg: Stateless vs Stateful Data Processing

The Netflix TechBlog

By Abhinaya Shetty , Bharath Mummadisetty In the inaugural blog post of this series, we introduced you to the state of our pipelines before Psyberg and the challenges with incremental processing that led us to create the Psyberg framework within Netflix’s Membership and Finance data engineering team.

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Implementing service-level objectives to improve software quality

Dynatrace

When organizations implement SLOs, they can improve software development processes and application performance. Stable, well-calibrated SLOs pave the way for teams to automate additional processes and testing throughout the software delivery lifecycle. Instead, they can ensure that services comport with the pre-established benchmarks.

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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

The RAG process begins by summarizing and converting user prompts into queries that are sent to a search platform that uses semantic similarities to find relevant data in vector databases, semantic caches, or other online data sources. To observe model drift and accuracy, companies can use holdout evaluation sets for comparison to model data.

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An overview of end-to-end entity resolution for big data

The Morning Paper

The point of blocking is to reduce the number of comparisons that have to be made later on – the key idea is that any two entity descriptions that have a chance of referring to the same real-world entity should end up in the same block under at least one of the blocking keys. Block processing.

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The top four log analytics and log management best practices

Dynatrace

By following key log analytics and log management best practices, teams can get more business value from their data. Challenges driving the need for log analytics and log management best practices As organizations undergo digital transformation and adopt more cloud computing techniques, data volume is proliferating.

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10 things I love about SpeedCurve (that I think you'll love, too)

Speed Curve

You can even go one step further and integrate your performance budgets with your CI/CD process, so that you not only get alerts but even break the build if a new deploy would violate any of your budgets. Integrating your budgets with your CI process is like having your security cameras trigger your guards to rush in and stop the bad guys.

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Farewell FID. and hello Interaction to Next Paint!

Speed Curve

While we definitely get excited about emerging metrics, we also approach each new metric with an analytical eye. Processing time and presentation delay are also included. The following is a comparison of FID and INP at the 75th percentile for Mobile and Desktop for RUM data collected from SpeedCurve.

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