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Protecting critical infrastructure and services: Ensure efficient, accurate information delivery this election year

Dynatrace

Government agencies aim to meet their citizens’ needs as efficiently and effectively as possible to ensure maximum impact from every tax dollar invested. These components include schools; transportation; energy; water; and communications such as the accuracy, timeliness, and transparency of election reporting.

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Ready for changes with Hexagonal Architecture

The Netflix TechBlog

by Damir Svrtan and Sergii Makagon As the production of Netflix Originals grows each year, so does our need to build apps that enable efficiency throughout the entire creative process. We decided to build our app based on principles behind Hexagonal Architecture and Uncle Bob’s Clean Architecture.

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How Netflix uses eBPF flow logs at scale for network insight

The Netflix TechBlog

Flow Exporter The Flow Exporter is a sidecar that uses eBPF tracepoints to capture TCP flows at near real time on instances that power the Netflix microservices architecture. The choice of transport protocols like GRPC, HTTPS & UDP is runtime dependent on characteristics of the instance placement. What is BPF?

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

The Netflix TechBlog

Overall Architecture The Data Mesh system can be divided into the control plane (Data Mesh Controller) and the data plane (Data Mesh Pipeline). It reads events from the upstream transports and applies some business logic to each of them. An intermediate processor writes data to another transport.

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Plan Your Multi Cloud Strategy

Scalegrid

Choosing the Right Cloud Services Choosing the right cloud services is crucial in developing an efficient multi cloud strategy. Adopting spot instances for less critical tasks, which are less expensive than on-demand or reserved instances, is an efficient way of managing expenses.

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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

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How Uber Achieves Operational Excellence in the Data Quality Experience

Uber Engineering

Uber delivers efficient and reliable transportation across the global marketplace, which is powered by hundreds of services, machine learning models, and tens of thousands of datasets.