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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. This approach has a handful of benefits.

Traffic 347
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Uber’s Big Data Platform: 100+ Petabytes with Minute Latency

Uber Engineering

To accomplish this, Uber relies heavily on making data-driven decisions at every level, from forecasting rider demand during high traffic events to identifying and addressing bottlenecks … The post Uber’s Big Data Platform: 100+ Petabytes with Minute Latency appeared first on Uber Engineering Blog.

Big Data 109
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No need to compromise visibility in public clouds with the new Azure services supported by Dynatrace

Dynatrace

Azure Traffic Manager. Our customers have frequently requested support for this first new batch of services, which cover databases, big data, networks, and computing. See the health of your big data resources at a glance. Azure DB for PostgreSQL. Azure SQL Managed Instance. Azure HDInsight. Azure Front Door.

Azure 227
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Business Insights extends support for optimizing Core Web Vitals

Dynatrace

To do this effectively, you need a big data processing approach. A page with low traffic and failing CWV compliance does not hold the same weight as a failing page with high traffic. A page with low traffic and failing CWV compliance does not hold the same weight as a failing page with high traffic.

Traffic 264
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What is cloud monitoring? How to improve your full-stack visibility

Dynatrace

As cloud and big data complexity scales beyond the ability of traditional monitoring tools to handle, next-generation cloud monitoring and observability are becoming necessities for IT teams. Website monitoring examines a cloud-hosted website’s processes, traffic, availability, and resource use. What is cloud monitoring?

Cloud 295
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Python at Netflix

The Netflix TechBlog

Demand Engineering Demand Engineering is responsible for Regional Failovers , Traffic Distribution, Capacity Operations and Fleet Efficiency of the Netflix cloud. Orchestration The Big Data Orchestration team is responsible for providing all of the services and tooling to schedule and execute ETL and Adhoc pipelines.

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Hyper Scale VPC Flow Logs enrichment to provide Network Insight

The Netflix TechBlog

VPC Flow Logs VPC Flow Logs is an AWS feature that captures information about the IP traffic going to and from network interfaces in a VPC. At Netflix we publish the Flow Log data to Amazon S3. These characteristics allow for an on-call response time that is relaxed and more in line with traditional big data analytical pipelines.

Network 154