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Netflix at AWS re:Invent 2019

The Netflix TechBlog

by Shefali Vyas Dalal AWS re:Invent is a couple weeks away and our engineers & leaders are thrilled to be in attendance yet again this year! To sustain this data growth at Netflix, it has deployed open-source software Ceph using AWS services to achieve the required SLOs of some of the post-production workflows.

AWS 100
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Netflix at AWS re:Invent 2019

The Netflix TechBlog

by Shefali Vyas Dalal AWS re:Invent is a couple weeks away and our engineers & leaders are thrilled to be in attendance yet again this year! To sustain this data growth at Netflix, it has deployed open-source software Ceph using AWS services to achieve the required SLOs of some of the post-production workflows.

AWS 100
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So many bad takes?—?What is there to learn from the Prime Video microservices to monolith story

Adrian Cockcroft

Then they tried to scale it to cope with high traffic and discovered that some of the state transitions in their step functions were too frequent, and they had some overly chatty calls between AWS lambda functions and S3. They state in the blog that this was quick to build, which is the point.

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ScyllaDB Trends – How Users Deploy The Real-Time Big Data Database

Scalegrid

ScyllaDB offers significantly lower latency which allows you to process a high volume of data with minimal delay. percentile latency is up to 11X better than Cassandra on AWS EC2 bare metal. of all ScyllaDB cloud deployments are running on AWS from our survey participants. AWS vs. Azure vs. GCP Click To Tweet.

Big Data 187
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Netflix at AWS re:Invent 2019

The Netflix TechBlog

by Shefali Vyas Dalal AWS re:Invent is a couple weeks away and our engineers & leaders are thrilled to be in attendance yet again this year! To sustain this data growth at Netflix, it has deployed open-source software Ceph using AWS services to achieve the required SLOs of some of the post-production workflows.

AWS 37
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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

If we had an ID for each streaming session then distributed tracing could easily reconstruct session failure by providing service topology, retry and error tags, and latency measurements for all service calls. Additionally, it became easy to provide deep links to different monitoring and deployment systems in Edgar due to consistent tagging.

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Front-End Performance Checklist 2019 [PDF, Apple Pages, MS Word]

Smashing Magazine

Front-End Performance Checklist 2019 [PDF, Apple Pages, MS Word]. Front-End Performance Checklist 2019 [PDF, Apple Pages, MS Word]. 2019-01-07T12:00:13+00:00. 2019-04-29T18:34:58+00:00. Testing And Monitoring. Good for raising alarms and monitoring changes over time, not so good for understanding user experience.