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Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

Migrating Critical Traffic At Scale with No Downtime — Part 1 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Hundreds of millions of customers tune into Netflix every day, expecting an uninterrupted and immersive streaming experience.

Traffic 339
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Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

The Machine Learning Platform (MLP) team at Netflix provides an entire ecosystem of tools around Metaflow , an open source machine learning infrastructure framework we started, to empower data scientists and machine learning practitioners to build and manage a variety of ML systems. ETL workflows), as well as downstream (e.g.

Systems 226
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What is log management? How to tame distributed cloud system complexities

Dynatrace

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. Comparing log monitoring, log analytics, and log management. Log management brings together log monitoring and log analysis.

Systems 186
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AWS observability: AWS monitoring best practices for resiliency

Dynatrace

Visibility into system activity and behavior has become increasingly critical given organizations’ widespread use of Amazon Web Services (AWS) and other serverless platforms. These resources generate vast amounts of data in various locations, including containers, which can be virtual and ephemeral, thus more difficult to monitor.

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What is security analytics?

Dynatrace

For example, an organization might use security analytics tools to monitor user behavior and network traffic. Teams can then act before attackers have the chance to compromise key data or bring down critical systems. This data helps teams see where attacks began, which systems were targeted, and what techniques attackers used.

Analytics 161
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What are quality gates? How to use quality gates to deliver better software at speed and scale

Dynatrace

By actively monitoring metrics such as error rate, success rate, and CPU load, quality gates instill confidence in teams during software releases. This approach supports innovation, ambitious SLOs, DevOps scalability, and competitiveness. This mechanism significantly boosts the likelihood of optimal functioning upon deployment.

Speed 207
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Key Advantages of DBMS for Efficient Data Management

Scalegrid

If you’re considering a database management system, understanding these benefits is crucial. Despite initial investment costs, DBMS presents long-term savings and improved efficiency through automated processes, efficient query optimizations, and scalability, contributing to enhanced decision-making and end-user productivity.