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Data Mesh?—?A Data Movement and Processing Platform @ Netflix

The Netflix TechBlog

A Data Movement and Processing Platform @ Netflix By Bo Lei , Guilherme Pires , James Shao , Kasturi Chatterjee , Sujay Jain , Vlad Sydorenko Background Realtime processing technologies (A.K.A stream processing) is one of the key factors that enable Netflix to maintain its leading position in the competition of entertaining our users.

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Flexible, scalable, self-service Kubernetes native observability now in General Availability

Dynatrace

The application consists of several microservices that are available as pod-backed services. From here we jump directly into Dynatrace Distributed traces view, shown below, to understand code-level contributions to total processing time. Information about each of these topics will be available in upcoming announcements.

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Dynatrace extends Synthetic Monitoring capabilities with Network Availability Monitors to validate the availability of infrastructure and services

Dynatrace

As HTTP and browser monitors cover the application level of the ISO /OSI model , successful executions of synthetic tests indicate that availability and performance meet the expected thresholds of your entire technological stack. into NAM test definitions. Our script, available on GitHub , provides details.

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Lower total cost of ownership with improved OneAgent and ActiveGate update process

Dynatrace

Given our relatively frequent releases, this means that you can benefit from 11 to 12 OneAgent updates a year that are deployed as soon as they are available for your environment. Definition of an update window with daily recurrence. Definition of update window with monthly recurrence. a one-off event). a one-off event).

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Ready-to-go sample data pipelines with Dataflow

The Netflix TechBlog

Obviously not all tools are made with the same use case in mind, so we are planning to add more code samples for other (than classical batch ETL) data processing purposes, e.g. Machine Learning model building and scoring. Workflow Definitions Below you can see a typical file structure of a sample workflow package written in SparkSQL. ???

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Beyond uptime: Unveiling the improved Dynatrace SLA

Dynatrace

To transparently manage expectations and maintain trust with our customers, we expanded the Dynatrace SLA beyond accessing the user interface to cover the full range of relevant product categories, such as processing and retaining incoming data, accessing and working with data, and triggering automations.

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Dynatrace observability is now available for Red Hat OpenShift on the IBM® Power® architecture

Dynatrace

By leveraging the Dynatrace Operator and Dynatrace capabilities on Red Hat OpenShift on IBM Power, customers can accelerate their modernization to hybrid cloud and increase operational efficiencies with greater visibility across the full stack from hardware through application processes.